Rep. Tom Cole of Oklahoma told Homeland Security Secretary Kristi Noem that the canceled grants are "extraordinarily valuable to communities."

Prime Minister Mark Carney, who until recently was a U.N. climate envoy, met with President Donald Trump, who has tried to dismember climate policy.

Exterra’s process creates magnesium oxide, which is then combined with carbon dioxide that’s captured by industrial emitters to create rocks .

Sales of the credits can help offset a shortfall in revenue from those power assets shuttered ahead of schedule.

Signatories to the Paris Agreement are expected to file adaptation strategies with the United Nations this year.

Green taxes totaled just 1.9 percent of national output in 2024, the lowest since records began in 1997 and equal to 2021 during the pandemic.

We all leave digital trails as we navigate the internet – records of what we searched for, what we bought, who we talked to, where we went or want to go in the real world – and those trails usually are owned by the big corporations behind the platforms we use. But what if we valued our digital autonomy the way that we do our bodily autonomy? What if we reclaimed the right to go, read, see, do and be what we wish online as we try to do offline? Moreover, what if we saw digital autonomy and bodily autonomy as two sides of the same coin – inseparable?

%3Ciframe%20height%3D%2252px%22%20width%3D%22100%25%22%20frameborder%3D%22no%22%20scrolling%3D%22no%22%20seamless%3D%22%22%20src%3D%22https%3A%2F%2Fplayer.simplecast.com%2F0ffeccaf-2933-474a-87b2-2cae932ab88d%3Fdark%3Dtrue%26amp%3Bcolor%3D000000%22%20allow%3D%22autoplay%22%3E%3C%2Fiframe%3E Privacy info. This embed will serve content from simplecast.com

   

(You can also find this episode on the Internet Archive and on YouTube.)

Kate Bertash wants that digital autonomy for all of us, and she pursues it in many different ways – from teaching abortion providers and activists how to protect themselves online, to helping people stymie the myriad surveillance technologies that watch and follow us in our communities. She joins EFF’s Cindy Cohn and Jason Kelley to discuss how creativity and community can align to center people in the digital world and make us freer both online and offline. 

In this episode you’ll learn about:

• Why it’s important for local communities to collaboratively discuss and decide whether and how much they want to be surveilled
• How the digital era has blurred the bright line between public and private spaces
• Why we can’t surveil ourselves to safety
• How DefCon – America's biggest hacker conference – embodies the ideal that we don’t have to simply accept technology as it’s given to us, but instead can break, tinker with, and rebuild it to meet our needs
• Why building community helps us move beyond hopelessness to build and disseminate technology that helps protects everyone’s privacy  

Kate Bertash works at the intersection of tech, privacy, art, and organizing. She directs the Digital Defense Fund, launched in 2017 to meet the abortion rights and bodily autonomy movements’ increased need for security and technology resources after the 2016 election. This multidisciplinary team of organizers, engineers, designers, abortion fund and practical support volunteers provides digital security evaluations, conducts staff training, maintains a library of go-to resources on reproductive justice and digital privacy, and builds software for abortion access, bodily autonomy, and pro-democracy organizations. Bertash also engages in various multidisciplinary civic tech projects as a project manager, volunteer, activist, and artist; she’s especially interested in ways that artistic methods can interrogate use of AI-driven computer vision, other analytical technologies in surveillance, and related intersections with our civil rights. 

Resources:

• Digital Defense Fund and its 2022 EFF Award
• Dobbs v. Jackson Women’s Health Organization (U.S. Supreme Court No. 19–1392, decided June 24, 2022)
• EFF: Two Years Post-Roe: A Better Understanding of Digital Threats
• EFF: Surveillance Self-Defense
• DEF CON 

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Transcript

KATE BERTASH: It is me, having my experience, like walking through these spaces, and so much of that privacy, right, should, like, treat me as if my digital autonomy in this space is as important as my bodily autonomy in the world.
I think it's totally possible. I have such amazing optimism for the idea of reclaiming our digital autonomy and understanding that it is like the you that moves through the world in this way, rather than just some like shoddy facsimile or some, like, shadow of you.

CINDY COHN: That’s Kate Bertash speaking about how the world will be better when we recognize that our digital selves and our physical selves are the same, and that reclaiming our digital autonomy is a necessary part of reclaiming our bodily autonomy. And that’s especially true for the people she focuses on helping, people who are seeking reproductive assistance.
I’m Cindy Cohn, the executive director of the Electronic Frontier Foundation.

JASON KELLEY: And I’m Jason Kelley – EFF’s Activism Director. This is our podcast series How to Fix the Internet.

CINDY COHN: The idea behind this show is that we're trying to make our digital lives BETTER. Now a big part of our job at EFF is to envision the ways things can go wrong online-- and jumping into the action to help when things then DO go wrong.
But this show is about optimism, hope and solutions – we want to share visions of what it looks like when we get it right.

JASON KELLEY: Our guest today is someone who has been tirelessly fighting for the safety and privacy of a very vulnerable group of people for many years – and she does so with compassion, creativity and joy.

CINDY COHN: Kate Bertash is a major force in the world of digital privacy and security. Her work with the Digital Defense Fund started in 2017 as a resource to help serve the digital security needs of people seeking abortions and other reproductive care, and they have \ expanded their purview to include trans rights, elections integrity, harm reduction and other areas that are crucial to an equitable and functional democratic society. She’s also an artist, with a clothing line called Adversarial Fashion. She designs clothes that do all sorts of deliciously sneaky things – like triggering automatic license plate readers, or injecting junk data into invasive state and corporate monitoring systems. We’re just delighted to have her with us today - welcome Kate!

KATE BERTASH: Thank you so much for having me on. What an introduction.

CINDY COHN: Well, let's start with your day job, privacy and reproductive rights. You've been doing this since long before it became, you know, such a national crisis. Tell us about the Digital Defense Fund.

KATE BERTASH: So after Donald Trump was elected in 2016, I had started running some, what I would call tech volunteering events, the most well known of which is the Abortion Access Hackathon in San Francisco, we had about 700 people apply to come and hundreds of people over the weekend who basically were able to help people with very functional requests.
So we went to different organizations in the area and worked to ensure that they could get help with, you know, turning a spreadsheet into a database or getting help working on open source that they use for case management, or fixing something that was broken in their sales force. So, very functional stuff.
And then I was approached after that and asked if I wanted to run this new fund, the Digital Defense Fund. So we spent the first couple years kind of figuring out what the fund was going to do, but sort of organically and learning basically from the people that we serve and the organizations that work at Abortion Access, we now have this model where we can provide hands-on, totally free digital security and privacy support to organizations working in the field.
We provide everything from digital security evaluations to trainings. We do a lot of project management, connecting folks with different kinds of vendor software, community support, a lot of professional development.
And I think probably the best part is we also get to help them fund those improvements. So I know we always talk a lot about how things can improve, but I think kind of seeing it through, uh, and getting to watch people actually, you know, install things and turn them on and learn how to be their own experts has been a really incredible experience. So I can't believe that was eight years ago.

JASON KELLEY: You know a lot has changed in eight years, we had the Dobbs decision, um, that happened under the Biden administration, and now we've got the Dobbs decision, under a Trump administration. I assume that, you know, your work has changed a lot. Like at EFF we've been doing some work, with the Repro Uncensored Coalition tracking the changes in take downs of abortion related content. And that is a hard thing to do just for, you know, all the reasons, um, that it, you know, tracking what systems take down is sort of a thing you have to do one at a time and just put the data together. But for you, I mean, out of eight years, you know what's different now than, than maybe not 2017 or, but, but certainly, you know, 2022.

KATE BERTASH: I think this is a really excellent question just because I think it's kind of strange to look backwards and, and know that, uh, abortion access is a really interesting space in that for decades it's been under various kinds of different legal, and I would say ideological attacks as well as, you know, dealing with the kind of common problems of nonprofits, usually funding, often being targets of financial scams and crime as all nonprofits are.
But I think the biggest change has been that, um, a lot of folks who I think sort of. Could always lean on the idea that abortion would be federally legal, and so your job may be helping people get their abortions or performing abortions or supporting folks with funding to get to their procedures, that that always sort of had this like, color of law that would always kind of back you up or provide for you a certain level of security.
Um, now we kind of don't have that safety, mentally, even to lean on anymore as well as legally. And so a lot of the meat and potatoes of the work that we do, um, often it was always about, you know, ensuring patient privacy. But a lot of times now it's also ensuring that organizations are kind of ready to ask and answer kind of hard questions about how they wanna work. What data is at risk when so much is uncertain in a legal space?
Because I think, you know, I hardly have to tell anybody at EFF that, often, uh, we kind of don't know what, what quote unquote qualifies or what is legal under a particular new law or statute until somebody makes you prove it in court.
And I think a lot of our job at Digital Defense Fund really then crystallized into what we can do to help people sort of tolerate this level of uncertainty and ensure that your tools and that your tactics and your understanding even of the environment that you're operating in at least buoys you and is a source of certainty and safety when the world cannot be.

CINDY COHN: Oh, I think that's great. Do you have a, an example?

KATE BERTASH: Yes, absolutely. I think one of the biggest changes that I've seen in how people tend to work and operate is that, uh, I think you know, this kind of backs into many other topics that I know get discussed on this podcast, which is that when we reach into our pocket for the computer that is on us all day, you know, our phone and we reach out to text people, it's, it's a very accessible way to reach somebody and trying to really wrap around the understanding of the difference between sending an SMS text message to somebody, or responding to a text message asking about services that your organization provides or where to get an abortion or something like that, and the difference of how much information is kept, for example, by your cell phone carrier. Usually, you know, as all of you have taught all of us very well, uh, in plain text as far as we know forever.
Uh, and the absolute huge difference then of getting to really inform people about this sort of static understanding of our environment that we operate in, that we kind of take for granted every day, when we're just like texting our friends or, you know, getting a message about whether something's ready for pickup at the pharmacy. Uh, and then instead we get to help move people onto other tools, encrypted chat like Signal or Wire or whatever meets their needs, helping meet people where they're at on other platforms like WhatsApp, and to really not just like tell people these are the quote unquote correct tools to use, because certainly there are many great, uh, you know, all loads roads lead to Rome as they say.
But I think getting to improve people's sort of environmental understanding of the ocean that we're all swimming in, uh, that it actually doesn't have to work this way, but that these are also the results of systems that, are motivated by capital and how you make money off of data. And so I think trying to help people to be prepared then to make different decisions when they encounter new questions or new technologies has been a really, really big piece of it. And I love that it gets to start with something as simple as, you know, a safer place to have a sensitive conversation in a text message on your phone in a place like Signal. So, yeah.

CINDY COHN: Yeah, no, I think that makes such sense. And we've seen this, right? I mean, you know, we had a mother in Nebraska who went to jail because she used Facebook to communicate with her daughter, I believe about getting reproductive help. And the shifting to a just a different platform might've changed that story quite a bit because, you know, Facebook had this information and, you know, one of the things that, you know, we know as lawyers is that like when Facebook gets a subpoena or process asking for information about a user, the government doesn't have to tell them what the prosecution is for, right? So that, you know, it could be a bank robber or it could be a person seeking reproductive help. The company is not in a position to really know that. Now we've worked in a couple places to create situations in which if the company does happen to know for some reason they can resist.
But the way that the baseline legal system works means that we can't just, you know, uh, as much as I love to blame Facebook, we can't blame Facebook for this. We need actual tools that help protect people from the jump.

KATE BERTASH: Absolutely, and I think that case is a really important example of, especially I think, how unclear it is from platform to platform, sort of how that information is kept and used.
I think one of the really tragic things about that conversation was that it was a very loving conversation. It was the kind of experience I think that you would want to have between a parent and child to be able to be there for each other. And they were even to talking to each other while they were in the same house. So they were just sharing a conversation from one room to the next. And that's something that I think like, to see the reaction the public had to, that I think, was very affirming to me that, that it was wrong, uh, that, you know, that just the way that this platform is structured somehow then, uh, put this extra amount of risk on this family.
I think, because, you know, we can imagine that it should be a common experience or common right to just have a simple conversation within your household and to know that like that's in a safe place, that that's treated with the sensitivity that it deserves. And I think it helps us to understand that. You know, we are actually, and I mean this in a good sense of the word, entitled to that, and I know that seeing actually, uh, Meta respond to the sort of outcry, there was also a very, like, positive flag for me, because they don't typically respond to, uh, their, their comms department does not typically respond to any individual subpoena that they received, but they felt they had to come out and say why they responded and what the, the problem was there. Um, I think as sort of an indication that this is important.
These different kinds of cases that come up, especially around abortion and criminalization, one of the reasons I think they're so important for us to cover is that, you know, on this podcast or within the spaces that both you and I work with so much about digital security and privacy kind of exists in this very like cloudy, theoretical space.
Like we have these, like, ideals of what we know we want to be true and, and often, you know, when you, when you're talking to folks about like big data, it's literally so large that it can be hard to like pin it down and decide how you feel. But these cases, they provide these concrete examples of how you think the world actually should or should not work.
And it really nails it down and lets people form these very strong emotional responses to it. Um, that's why I'm so grateful that, um, you know, organizations like yours get to help us contextualize that like, yes, there's this like, really personal, uh, and, and tragic story – and it also takes place within this larger conversation around your digital civil liberties.

CINDY COHN: Yeah, so let's flip that around a little bit. I've heard you talk about this before, which is, what would the world look like if our technologies actually stood up for us in these contexts? And, you know, inside the home is a very particular one. And I think because the Fourth Amendment is really clear about the need for privacy. It's one of the places where privacy is actually in our constitution, but I think we're having a broader conversation, like what would the world look like if the tools protected us in these times?

KATE BERTASH: I think especially, it's really interesting to think about the, the problems that I know I've learned so much from your team around the, the problem of what is public and what is private. I think, you know, we always talk about abortion access as a right to privacy and then it suddenly exists in this space where we kind of really haven't decided what that means, and especially anything that's very fuzzy about that.
People are often very familiar with the image of the protestor outside of the abortion clinic. There are many of the same problems kind of wrapped up in the fact that protestors will often film or take photographs or write down the license plates of people who are going in and out of clinics, often for a variety of reasons, but mostly to surveil them in in some way that we actually see then from state actors or from corporations, this is done on a very personal basis.
And it has a lot of that same level of damage. And we frequently have had to capitulate that like, well, this is a public space, you know, people can take photos in, in a public area, and that information that is taken about your personal abortion experience is unfortunately, you know, can be used and, and misused in, in whatever way people want.
And then we watched that exact same problem map itself onto the online space. So yeah, very important to me.

CINDY COHN: I think this is one of the fundamental, things that the digital era brought us was an increasing recognition that this bright line between public spaces and private spaces isn't working.
And so we need a more, you know, it's not like there aren't public spaces online. I definitely want reporters to be able to, you know. Do investigations that give us information about people in power and, and what they're doing. Um, so it's not, it's, it's not either or, right, and I think that's the thing we have to have a more nuanced conversation about what public spaces. Are really not public in the context. You know, what we think of as Bright Line public spaces aren't really rightfully treated as public. And I love your reframing about this as being about us. It's about us and our lives.

KATE BERTASH: Absolutely. Uh, I think one of the larger kind of examples that has come up also as well, uh, is that your experience of seeking out medical care actually then travels into the domain of, of the doctor that you see they often use in electronic health records system. And so you have this record of something that I don't think any of these companies were really quite adequately prepared for, for the policy eventuality that they would be holding information that would be an enshrined human right in some states’ constitutions, but a crime in a different state. And you know, you have these products like Epic Everywhere, and they allow access to that same information from a variety of places, including from a state where, you know, that, to that state, it is evidence of a crime to have this in the health record versus just it's, you know, a normal continuity of care in a different state.
And kind of seeing how, you know, we tend to have these sort of debates and understandings and trying to, like you say, examine the nuance and get to the bottom of how we wanna live in these different contexts of policy or in court cases. But then so much of it is held in this corporate space and I think they really are not. Ready for the fact that they are going to have to take a much more active role, I think, than they even want to, uh, in understanding how that shows up for us.

JASON KELLEY: Let’s take a quick moment to say thank you to our sponsor.
“How to Fix the Internet” is supported by The Alfred P. Sloan Foundation’s Program in Public Understanding of Science and Technology. Enriching people’s lives through a keener appreciation of our increasingly technological world and portraying the complex humanity of scientists, engineers, and mathematicians.
We also want to thank EFF members and donors. You’re the reason that we exist. You can become a member if you’re not for just $25 and for a little more you can get some great, very stylish gear. The more members we have, the more power we have - in statehouses, courthouses, and on the streets. EFF has been fighting for digital rights for decades, and that fight is bigger than ever, so please, if you like what we do, go to eff.org/pod to donate.
And now back to our conversation with Kate Bertash.
So we've been talking a lot about the skills and wisdom that you've learned during the fight for reproductive rights, but I know a lot of that can be used in other areas as well. And I heard recently that you live in a pretty small rural town, and not all your neighbours share your political views. But you've been building sort of a local movement to fight surveillance there – and I’d love to hear about how you are bringing together different people with different sort of political alignments to come together on this privacy issue.

KATE BERTASH: Yeah, it actually had started so many years ago with Dave Moss, who's on the EFF team and I having a conversation about the license plate surveillance actually at clinics and, and kind of how that's affected by the proliferation of automated license plate reader technology. And I had come up with this, this like line of clothing called Adversarial Fashion, which, uh, injects junk into automated license plate readers.
It was a really fun project. I was really happy to see the public response to it, but as a result, I sort of learned a lot about these systems and kind of became a bit of an activist on the privacy issues around them.
And then suddenly, I now live in a rural community in southwest Washington and I then suddenly found out on Facebook one day that our sheriff's department had purchased Flock automated license plate reader cameras, and just installed them already and just announced it. Like there was no public discussion, no debate, no nothing. There had been debate in neighboring counties where they decided, oh, kind of not for us. You know, where a lot of rural communities, uh, and, and like, I wanna give you a sense of the size. Our county has 12,000 people in it. My town has a thousand people in it. So very tiny, like, you kind of almost wonder why you would even need license plate for surveillance when you could just like literally ask almost anybody what's going on with, like, I've seen people before on, on Facebook where they're like, Hey, is this your car? You know, somebody stole it. Come pick it up. It's on our, on our hill.

CINDY COHN: I grew up in a very small town in Iowa and the saying in our town was, you know, you don't need turn signals 'cause everybody knows where you're going.

KATE BERTASH: I love that. See exactly like I did not know that about you, Cindy. I love that. And that was kind of this initiating, uh, event where I was just, I, I'll be honest with you, I totally hit the ceiling. What I found out I was, I was really mad because, you know, you are active on all this stuff outside of, you know, your work and your, you know, I've been all over the country talking about the problems with this technology and the privacy issues that it raises and you know, how tech companies take advantage of communities and here they were taking advantage of my community.
It's like, not in my house! How is it in my house?

JASON KELLEY: Well, when did this happen? When? When did they install these?

KATE BERTASH: Oh my gosh, it had to be a couple of months ago. I mean, it was very, very recently. Yeah, it was super recently, and so I kind of did what I know best, which is that I took everything that I learned, I put it into a presentation to my neighbors. I scheduled a bunch of nights at the different libraries and community centers in my county, and invited everybody to come, and the sheriff and the undersheriff came too.
And the most surprising thing about this was that I think, A, that people showed up. I was actually very pleasantly surprised. I think a lot of people, when they move to rural areas, they do so because, you know, they want to feel freer to be not, you know, watched every day by the state or by corporations, or even by their neighbors, frankly.
And so it was really surprising to me when, this is probably the most politically diverse room I've ever presented to. And definitely people that I think would absolutely not love any of my rest of my politics, but both nights, one hundred percent of the room was in agreement that they did not like these cameras, did not think that they were a good fit for our community, that they don't really appreciate, you know, not being asked.
I think that was kind of the core thing we wanted to get through is that even if you do decide these are a good fit. We should have been asked first, and I got people, shaking my hands afterwards. We're like, thank you young lady for bringing up this important issue.
Um, it's still ongoing. We haven't had all of them. Some of them have been removed, uh, but not all of them. And I think there's a lot closer scrutiny now on like the disclosure page that Flock puts up where you get to see kind of how the data is accessed. Uh, but I think it was like, you know, I've been doing this like privacy and safety work for a while, but it made me realize I still have room to be surprised, and I think that like I was surprised that everybody in my community was very united on privacy. It might be the thing on which we most agree, and that was like so heartwarming in such a way. I really can't wait to keep, keep building on that and using it as a way to connect with people.

CINDY COHN: So I'd like to follow up because we've been working hard to try to figure out how to convince people that you can't surveil yourself to safety, right? This stuff is always promoted as if it's going to make us safe. What stories did you hear that were resonating with people? What was the counter story from, you know, surveillance equals safety.

KATE BERTASH: I think the biggest story that I knew really connected with folks was actually the way in which that data was shared outside of our community. And there was somebody who was sitting in the room who I think had elaborated to that point that she said. I might like you as the sheriff, you know, these are all people who voted for the sheriff. We got to actually have this conversation face to face, which was really quite amazing. And they got to say to the sheriff, I voted for you. I might like you just fine. I might think you would be responsible logging into this stuff, but I don't know all those people who these platforms share this stuff with.
And Flock actually shares your data, unless you specifically request that they turn it off, and I think that was where they were like, you know, I don't trust those people, I don't know those people.
I also don't know your successor. Who's gonna get this? If we give this power to this office, I might not trust the future sheriff as much. And in a small town, like, that personal relationship matters a lot. And I think it was like really helpful to kind of take it out of this, you know, I am obviously very concerned about the ways in which they're, you know, abusive of policing technology and power. I think though, because like so many of these people are people who are your neighbors and you know them, it was so helpful to kind of put it in terms of like, you know, I don't want you to think it's about whether or not I trust your confidence personally.
It's about rather what we maybe owe each other. And you know, I wish you had asked me first, and it became a very like, powerful personal experience and a personal narrative. And, and I think even at the end of the night, like by the second night, I think the sheriff's department had really changed their tune a lot.
And I said to them, I was like, this is the longest we've ever gotten to talk to each other. And I think that's a great thing.

CINDY COHN: I think that's really great. And what I love about this is landing, it really, you know, community has come up over and over again in the way that we've talked to different people about what's important about making technology serve people.

KATE BERTASH: Yeah, people make these decisions very emotionally. And I think it was really nice to be able to talk about trust and relationships and communication because so much of the conversation when it's just held online, gets pulled into, I think everybody in this room our least favorite phrase. If you're not doing anything wrong, why do you care about being surveilled?
And it's just sort of like, well, it's not about whether or not I'm committing a crime. It's about whether or not, you know, we've had a discussion about what we should all know about each other, or like, why don't you just come over and ask me first.
I still want our community to have the ability to get people’s stolen cars back or to like find somebody who is like a, a lost senior adult or, or a child who's been abducted, you know? But these are like problems. Then we get to solve together rather than in this like adversarial manner where everybody's an obstacle to some public good.

JASON KELLEY: One of the things that I think a lot of the people we talk with, but I think you in particular are bringing to this conversation is, I don't know, optimism, joy, creativity.
You're someone who is dealing with some complicated, difficult, often depressing stuff. And you think about how to get people involved in ways that aren't, you know, uh, using the word dystopia, which is a word we use too much at e fff because it's too often becoming true. Cindy, I think mentioned earlier the adversarial fashion line. I think you've done a lot of work in getting people who aren't necessarily engineers thinking about like data issues clearly.
Tell us a little bit about the adversarial fashion work and also just, you know, how we get more people involved in protecting privacy that aren't necessarily the ones working at Facebook, right?

KATE BERTASH: So one of the most fun things about the adversarial fashion line, uh, was in, in kind of researching how I was gonna do that. The reason I did it is because I actually spent some of my free time designing fabrics, like mostly stuff with little, you know, manatees or cats on them, like silly things for kids.
And so I was like, yeah, it's, it's a surface pattern. I could definitely do that. Seems easy. Uh, and I got to research and find out more about sort of the role that art has in a lot of anti-surveillance movements. There's a lot of really cool anti surveillance art projects. Uh, it has been amazing as I present adversarial fashion, uh, in different places to kinda show off how that works.
So the way that the adversarial fashion line works is that these clothes have basically, you know, see these sort of iterations of what kind of look like plates on them. And automated license plate readers are kind of interesting in that they're, what I guess the system with low specificity is, is the way that a software engineer might term it, which is that they are working on a highway at, you know, 60, 70 miles an hour.
They're ingesting hundreds, sometimes thousands of plates a minute. So they really have to just be generous in what they're willing to ingest. So they, they put the vacuum and things like picket fences and billboards. And so clothing was kind of trivial, frankly, to get them to pick that up as well.
And what was really nice about the example of, you know, like a shirt that. You know, could be read as a car by some of these systems. And it was very easy to show, especially on some of the open source systems that are the exact same models deployed in surveillance technology that's bought and sold, uh, that, you know, you would really think differently than about your plate being seen someplace as sort of something that might implicate you in a crime or determine a pattern of behavior or justify somebody surveilling you further if it can be fooled by a t-shirt.
And you know, much like the example we talked about, uh, with, you know, conversations being held on a place like Facebook, anti surveillance artworks are cool in that they get to help people who feel like they're not technical enough or they don't really understand the underlying pieces of technology to have a concrete example that they can form a really strong reaction to. I know that some of the people who had really thrilled me that they were very excited about were like criminal defense attorneys reached out and asked a bunch of questions.
We have a lot of other people who are artists or designers who are like, how did you learn to use these systems? Did you need to know how to code? And I'm like, no, you can just roll them up on, you know, there's actually a bunch of a LPR apps that are available on, you know, the Apple store or that you can use on your computer, on your phone and test out the things that you've made.
And this actually works for many other systems. So, you know, facial recognition systems, if you wanna play around and come up with really great, you know. Clothing or masks or makeup or something, you can actually test it with the facial recognition piece of Instagram or any of these different types of applications.
It's a lot of fun. I love getting to answer people's questions. I love seeing the kind of creative spark that they're like, oh yeah, maybe I am smart enough to understand this, or to try and fool it on my own. Or know that like these systems aren't maybe as complex or smart as I give them credit for.

JASON KELLEY: What I like about this especially is that you are, you know, pointing out that this stuff is actually not that complicated and we've moved into a world where often the kind of digital spaces we live in, the technology we use feels so opaque that people can't even understand how to begin to like modify it, or to understand how it works or how they would build it themselves.
It's something we've been talking about with other people about how there's sort of like a moment where you realize that you can modify the digital world or that you can. You, you know how it works. Was there a moment in your work or in your life, um, where you realized that you could sort of understand that technology was there FOR you, not just there like to be thrust upon you?

KATE BERTASH: You know, it might be a little bit late in my life, but I think when I first got this job and I was like, oh my gosh, what am I going to do to really help kind of break through the many types of like privacy and safety problems that are facing this community, somebody had said, Kate, you should go to Def Con, and I went to Def Con, my very first one, and I was like blown back in my chair.
Defcon is America's largest hacker conference. It takes place every single year in Las Vegas and I think going there, you see, not only are these presentations on things that people have broken, but then there are places called villages that you walk through and people show you how to break systems or why, actually, it should be a lot harder to break this than it is.
Like the voting village. They buy old voting machines off of eBay and then, you know, teach everyone who walks in within, you know, 20 minutes how you can break into a voting machine. And it was just this, like, moment where I realized that you don't have to take technology as it is given to you. We all deserve technology that has our back and, and can't be modified or broken to hurt us.
And you can do that by yourself, sort of like actively tinkering on it. And I think that spirit of irreverence Really carried through to a lot of the work that we do with Digital Defense Fund, where we get people all the time who, like, they come in and they are worried about absolutely everything. It's so hard to decide what bite of the elephant to take first on, you know, improving the safety and privacy for the team and how they work and the patients that they serve.
But then we get to kind of show people some great examples of how actually this. Isn't quite as complicated as you might think. I'm gonna walk you through sort of the difference of like getting to use, like, one app text versus another, or turning on two factor.
We love tools like have I been pwned because they kind of help shape that understanding. You know, like you think about how a hacker gets a password, it feels so abstract or like technical, and then you realize, oh, actually when somebody breaks these, they buy and sell them, and then somebody just takes old passwords and reuses them.
That seems far more intuitive. I can now understand the ecosystem and the logic that's used behind so much of security and it builds on itself. And I think the thing that I'm most proud of is that we not only have this community of folks that we've worked with to improve their safety that we introduced to personal, you know, professional development opportunities to keep growing that understanding. We also manage an amazing community of technologists who build their own systems.
There's one group called the DC Abortion Fund who built their own case management platform because they were not being served by any of these corporate or enterprise options that charge way too much. They have like, you know, dozens of case managers, so that many seats was never gonna be affordable. And so they just sat down and they, you know, worked with Code For DC and they built it out, hand in hand.
And that is a project that I always point to as like, you know, it took somebody saying to themselves, I deserve better than this, and I can learn from everything I like about, you know, systems that you can buy and sell, but also like our community's gonna build what we need.
And to be supported to do that and have that encouragement is, is one of the reasons that I'm so proud that, um, over these years, the number of sort of self-built and community built software projects and other types of like ways that people deploy more secure technology to each other and teach each other has grown by leaps and bounds.
My job is so different now than what it was eight years ago because people are hungry for it. They know that they are, you know, ready to become their own experts in their communities. And the requests that we get then for, for more train the trainer type of material, or to help equip people to bring this back to their space the way, you know, I brought my ALPR presentation back to my own community. It's great to see that everyone is so much more encouraged, especially in these times when like systems are unstable, nonprofits spin up and down. We all have funding problems that have very little often to do with the demand for those resources, that that's not the end of the story.
So, yeah, I love it. It's been a wonderful journey, seeing how everything has changed from, like you said, that spirit of, of being always worried that things are getting worse, focusing on this dystopia, to seeing sort of, you know, how our own community has expanded its imagination. It's really wonderful. //

CINDY COHN: What a joy it is to talk to someone like Kate. She brings this spirit of irreverence that I think is great that she centers on Defcon because that's a community that definitely takes security seriously, but don't take themselves very seriously. So I really, I love that attitude and how important that is, I hear, for building community, building resilience through what are pretty dark times for the community that she fundamentally, you know, works with.

JASON KELLEY: And building that understanding that you have the not just ability, but like the right to work with the technology that is presented to you and to understand it and to take it apart and to rebuild it. All of that is, I think, critical to, you know, building the better internet that we want.
And Kate really shows how just, you know, going to the DEF Con Village can change your whole mind about that sort of thing, and hopefully people who don't have technical skills will recognize that you actually don't necessarily need them to do what she's describing. That's another thing that she said that I really liked, which is this, that, you know, she could show up in a room and talk to 40 people about surveillance and she doesn't have to talk about it at a, you know, technical level really, just saying, Hey, here's how this works. Did you know that? And anyone can do that. You know, you just have to show up.

CINDY COHN: Yeah. And how important these, like hyperlocal conversations are to really getting a handle on combating this idea that we can surveil ourselves to safety. What I really loved about that story, about gathering her community together, including the sheriff, is that, you know, they actually had a real conversation about the impact of what the sheriff was, was, is doing with Alps and really were able to be like, you know, look, I want you to be able to catch people who are stealing cars, but also there are these other ramifications and really bringing it down to a human level as one of the ways we get people to kind of stop thinking that we can surveil ourselves to safety. Then that technology can just replace the kind of individual community-based conversations we need to have.

JASON KELLEY: Yeah. She really is maybe one of the best people I've ever spoken to at bringing it down to that human level.

CINDY COHN: I think of people like Kate as the connective tissue between the communities that really need technologies that serve them, and the people who either develop those technologies or think about them or advocacy groups like us who are kind of doing the policy level work or the national level or even international level work on this.
We need those, those bridges between the communities that need technologies and the people who really think about it in the kind of broader perspective or develop it and deploy it.

JASON KELLEY: I think the thing that I'm gonna take away from this most is again, just Kate's creativity and the fact that she's so optimistic and this is such a difficult topic and, and we're living in such, you know, easily described as dystopic times. Um, but, uh, she's sort of alive with the idea that it doesn't have to be that way, which is really the, the whole point of the podcast. So she embodied it really well.

CINDY COHN: Yep. And this season we're gonna be really featuring the technologies of freedom, the technologies we need in these particular times.
And Kate is just one example of so many people who are really bright spots here and pointing the way to, you know, how we can fix the internet and build ourselves a better future.

JASON KELLEY: Thanks for joining us for this episode – and this new season! – of How to Fix the Internet.
If you have feedback or suggestions, we'd love to hear from you. Visit EFF dot org slash podcast and click on listener feedback. While you're there, you can become a member, donate, maybe even pick up some merch and just see what's happening in digital rights this week and every week.
Our theme music is by Nat Keefe of BeatMower with Reed Mathis
How to Fix the Internet is supported by the Alfred P. Sloan Foundation's program in public understanding of science and technology.
We’ll see you next time.
I’m Jason Kelley.

CINDY COHN: And I’m Cindy Cohn.

Nature Climate Change, Published online: 07 May 2025; doi:10.1038/s41558-025-02329-7

It has long been recognized that the highest-emitting regions should bear disproportionate responsibility for climate action. Now, a study shows how the highest-income individuals have specifically contributed to climate impacts worldwide.

Nature Climate Change, Published online: 07 May 2025; doi:10.1038/s41558-025-02325-x

While climate injustice is widely recognized, a quantification of how emissions inequality translates into unequal accountability is still lacking. Here researchers examine how affluent groups disproportionately contribute to the increase in mean temperature and the frequency of extreme events.

Inside every human cell, 2 meters of DNA is crammed into a nucleus that is only one-hundredth of a millimeter in diameter.

To fit inside that tiny space, the genome must fold into a complex structure known as chromatin, made up of DNA and proteins. The structure of that chromatin, in turn, helps to determine which of the genes will be expressed in a given cell. Neurons, skin cells, and immune cells each express different genes depending on which of their genes are accessible to be transcribed.

Deciphering those structures experimentally is a time-consuming process, making it difficult to compare the 3D genome structures found in different cell types. MIT Professor Bin Zhang is taking a computational approach to this challenge, using computer simulations and generative artificial intelligence to determine these structures.

“Regulation of gene expression relies on the 3D genome structure, so the hope is that if we can fully understand those structures, then we could understand where this cellular diversity comes from,” says Zhang, an associate professor of chemistry.

From the farm to the lab

Zhang first became interested in chemistry when his brother, who was four years older, bought some lab equipment and started performing experiments at home.

“He would bring test tubes and some reagents home and do the experiment there. I didn’t really know what he was doing back then, but I was really fascinated with all the bright colors and the smoke and the odors that could come from the reactions. That really captivated my attention,” Zhang says.

His brother later became the first person from Zhang’s rural village to go to college. That was the first time Zhang had an inkling that it might be possible to pursue a future other than following in the footsteps of his parents, who were farmers in China’s Anhui province.

“Growing up, I would have never imagined doing science or working as a faculty member in America,” Zhang says. “When my brother went to college, that really opened up my perspective, and I realized I didn’t have to follow my parents’ path and become a farmer. That led me to think that I could go to college and study more chemistry.”

Zhang attended the University of Science and Technology in Hefei, China, where he majored in chemical physics. He enjoyed his studies and discovered computational chemistry and computational research, which became his new fascination.

“Computational chemistry combines chemistry with other subjects I love — math and physics — and brings a sense of rigor and reasoning to the otherwise more empirical rules,” he says. “I could use programming to solve interesting chemistry problems and test my own ideas very quickly.”

After graduating from college, he decided to continue his studies in the United States, which he recalled thinking was “the pinnacle of academics.” At Caltech, he worked with Thomas Miller, a professor of chemistry who used computational methods to understand molecular processes such as protein folding.

For Zhang’s PhD research, he studied a transmembrane protein that acts as a channel to allow other proteins to pass through the cell membrane. This protein, called translocon, can also open a side gate within the membrane, so that proteins that are meant to be embedded in the membrane can exit directly into the membrane.

“It’s really a remarkable protein, but it wasn’t clear how it worked,” Zhang says. “I built a computational model to understand the molecular mechanisms that dictate what are the molecular features that allow certain proteins to go into the membrane, while other proteins get secreted.”

Turning to the genome

After finishing grad school, Zhang’s research focus shifted from proteins to the genome. At Rice University, he did a postdoc with Peter Wolynes, a professor of chemistry who had made many key discoveries in the dynamics of protein folding. Around the time that Zhang joined the lab, Wolynes turned his attention to the structure of the genome, and Zhang decided to do the same.

Unlike proteins, which tend to have highly structured regions that can be studied using X-ray crystallography or cryo-EM, DNA is a very globular molecule that doesn’t lend itself to those types of analysis.

A few years earlier, in 2009, researchers at the Broad Institute, the University of Massachusetts Medical School, MIT, and Harvard University had developed a technique for studying the genome’s structure by cross-linking DNA in a cell’s nucleus. Researchers can then determine which segments are located near each other by shredding the DNA into many tiny pieces and sequencing it.

Zhang and Wolynes used data generated by this technique, known as Hi-C, to explore the question of whether DNA forms knots when it’s condensed in the nucleus, similar to how a strand of Christmas lights may become tangled when crammed into a box for storage.

“If DNA was just like a regular polymer, you would expect that it will become tangled and form knots. But that could be very detrimental for biology, because the genome is not just sitting there passively. It has to go through cell division, and also all this molecular machinery has to interact with the genome and transcribe it into RNA, and having knots will create a lot of unnecessary barriers,” Zhang says.

They found that, unlike Christmas lights, DNA does not form any knots even when packed into the cell nucleus, and they built a computational model allowing them to test hypotheses for how the genome is able to avoid those entanglements.

Since joining the MIT faculty in 2016, Zhang has continued developing models of how the genome behaves in 3D space, using molecular dynamic simulations. In one area of research, his lab is studying how differences between the genome structures of neurons and other brain cells give rise to their unique functions, and they are also exploring how misfolding of the genome may lead to diseases such as Alzheimer’s.

When it comes to connecting genome structure and function, Zhang believes that generative AI methods will also be essential. In a recent study, he and his students reported a new computational model, ChromoGen, that uses generative AI to predict the 3D structures of genomic regions, based on their DNA sequences.

“I think that in the future, we will have both components: generative AI and also theoretical chemistry-based approaches,” he says. “They nicely complement each other and allow us to both build accurate 3D structures and understand how those structures arise from the underlying physical forces.” 

As the world struggles to reduce climate-warming carbon emissions, India has pledged to do its part, and its success is critical: In 2023, India was the third-largest carbon emitter worldwide. The Indian government has committed to having net-zero carbon emissions by 2070.

To fulfill that promise, India will need to decarbonize its electric power system, and that will be a challenge: Fully 60 percent of India’s electricity comes from coal-burning power plants that are extremely inefficient. To make matters worse, the demand for electricity in India is projected to more than double in the coming decade due to population growth and increased use of air conditioning, electric cars, and so on.

Despite having set an ambitious target, the Indian government has not proposed a plan for getting there. Indeed, as in other countries, in India the government continues to permit new coal-fired power plants to be built, and aging plants to be renovated and their retirement postponed.

To help India define an effective — and realistic — plan for decarbonizing its power system, key questions must be addressed. For example, India is already rapidly developing carbon-free solar and wind power generators. What opportunities remain for further deployment of renewable generation? Are there ways to retrofit or repurpose India’s existing coal plants that can substantially and affordably reduce their greenhouse gas emissions? And do the responses to those questions differ by region?

With funding from IHI Corp. through the MIT Energy Initiative (MITEI), Yifu Ding, a postdoc at MITEI, and her colleagues set out to answer those questions by first using machine learning to determine the efficiency of each of India’s current 806 coal plants, and then investigating the impacts that different decarbonization approaches would have on the mix of power plants and the price of electricity in 2035 under increasingly stringent caps on emissions.

First step: Develop the needed dataset

An important challenge in developing a decarbonization plan for India has been the lack of a complete dataset describing the current power plants in India. While other studies have generated plans, they haven’t taken into account the wide variation in the coal-fired power plants in different regions of the country. “So, we first needed to create a dataset covering and characterizing all of the operating coal plants in India. Such a dataset was not available in the existing literature,” says Ding.

Making a cost-effective plan for expanding the capacity of a power system requires knowing the efficiencies of all the power plants operating in the system. For this study, the researchers used as their metric the “station heat rate,” a standard measurement of the overall fuel efficiency of a given power plant. The station heat rate of each plant is needed in order to calculate the fuel consumption and power output of that plant as plans for capacity expansion are being developed.

Some of the Indian coal plants’ efficiencies were recorded before 2022, so Ding and her team used machine-learning models to predict the efficiencies of all the Indian coal plants operating now. In 2024, they created and posted online the first comprehensive, open-sourced dataset for all 806 power plants in 30 regions of India. The work won the 2024 MIT Open Data Prize. This dataset includes each plant’s power capacity, efficiency, age, load factor (a measure indicating how much of the time it operates), water stress, and more.

In addition, they categorized each plant according to its boiler design. A “supercritical” plant operates at a relatively high temperature and pressure, which makes it thermodynamically efficient, so it produces a lot of electricity for each unit of heat in the fuel. A “subcritical” plant runs at a lower temperature and pressure, so it’s less thermodynamically efficient. Most of the Indian coal plants are still subcritical plants running at low efficiency.

Next step: Investigate decarbonization options

Equipped with their detailed dataset covering all the coal power plants in India, the researchers were ready to investigate options for responding to tightening limits on carbon emissions. For that analysis, they turned to GenX, a modeling platform that was developed at MITEI to help guide decision-makers as they make investments and other plans for the future of their power systems.

Ding built a GenX model based on India’s power system in 2020, including details about each power plant and transmission network across 30 regions of the country. She also entered the coal price, potential resources for wind and solar power installations, and other attributes of each region. Based on the parameters given, the GenX model would calculate the lowest-cost combination of equipment and operating conditions that can fulfill a defined future level of demand while also meeting specified policy constraints, including limits on carbon emissions. The model and all data sources were also released as open-source tools for all viewers to use.

Ding and her colleagues — Dharik Mallapragada, a former principal research scientist at MITEI who is now an assistant professor of chemical and biomolecular energy at NYU Tandon School of Engineering and a MITEI visiting scientist; and Robert J. Stoner, the founding director of the MIT Tata Center for Technology and Design and former deputy director of MITEI for science and technology — then used the model to explore options for meeting demands in 2035 under progressively tighter carbon emissions caps, taking into account region-to-region variations in the efficiencies of the coal plants, the price of coal, and other factors. They describe their methods and their findings in a paper published in the journal Energy for Sustainable Development.

In separate runs, they explored plans involving various combinations of current coal plants, possible new renewable plants, and more, to see their outcome in 2035. Specifically, they assumed the following four “grid-evolution scenarios:”

Baseline: The baseline scenario assumes limited onshore wind and solar photovoltaics development and excludes retrofitting options, representing a business-as-usual pathway.

High renewable capacity: This scenario calls for the development of onshore wind and solar power without any supply chain constraints.

Biomass co-firing: This scenario assumes the baseline limits on renewables, but here all coal plants — both subcritical and supercritical — can be retrofitted for “co-firing” with biomass, an approach in which clean-burning biomass replaces some of the coal fuel. Certain coal power plants in India already co-fire coal and biomass, so the technology is known.

Carbon capture and sequestration plus biomass co-firing: This scenario is based on the same assumptions as the biomass co-firing scenario with one addition: All of the high-efficiency supercritical plants are also retrofitted for carbon capture and sequestration (CCS), a technology that captures and removes carbon from a power plant’s exhaust stream and prepares it for permanent disposal. Thus far, CCS has not been used in India. This study specifies that 90 percent of all carbon in the power plant exhaust is captured.

Ding and her team investigated power system planning under each of those grid-evolution scenarios and four assumptions about carbon caps: no cap, which is the current situation; 1,000 million tons (Mt) of carbon dioxide (CO2) emissions, which reflects India’s announced targets for 2035; and two more-ambitious targets, namely 800 Mt and 500 Mt. For context, CO2 emissions from India’s power sector totaled about 1,100 Mt in 2021. (Note that transmission network expansion is allowed in all scenarios.)

Key findings

Assuming the adoption of carbon caps under the four scenarios generated a vast array of detailed numerical results. But taken together, the results show interesting trends in the cost-optimal mix of generating capacity and the cost of electricity under the different scenarios.

Even without any limits on carbon emissions, most new capacity additions will be wind and solar generators — the lowest-cost option for expanding India’s electricity-generation capacity. Indeed, this is observed to be the case now in India. However, the increasing demand for electricity will still require some new coal plants to be built. Model results show a 10 to 20 percent increase in coal plant capacity by 2035 relative to 2020.

Under the baseline scenario, renewables are expanded up to the maximum allowed under the assumptions, implying that more deployment would be economical. More coal capacity is built, and as the cap on emissions tightens, there is also investment in natural gas power plants, as well as batteries to help compensate for the now-large amount of intermittent solar and wind generation. When a 500 Mt cap on carbon is imposed, the cost of electricity generation is twice as high as it was with no cap.

The high renewable capacity scenario reduces the development of new coal capacity and produces the lowest electricity cost of the four scenarios. Under the most stringent cap — 500 Mt — onshore wind farms play an important role in bringing the cost down. “Otherwise, it’ll be very expensive to reach such stringent carbon constraints,” notes Ding. “Certain coal plants that remain run only a few hours per year, so are inefficient as well as financially unviable. But they still need to be there to support wind and solar.” She explains that other backup sources of electricity, such as batteries, are even more costly. 

The biomass co-firing scenario assumes the same capacity limit on renewables as in the baseline scenario, and the results are much the same, in part because the biomass replaces such a low fraction — just 20 percent — of the coal in the fuel feedstock. “This scenario would be most similar to the current situation in India,” says Ding. “It won’t bring down the cost of electricity, so we’re basically saying that adding this technology doesn’t contribute effectively to decarbonization.”

But CCS plus biomass co-firing is a different story. It also assumes the limits on renewables development, yet it is the second-best option in terms of reducing costs. Under the 500 Mt cap on CO2 emissions, retrofitting for both CCS and biomass co-firing produces a 22 percent reduction in the cost of electricity compared to the baseline scenario. In addition, as the carbon cap tightens, this option reduces the extent of deployment of natural gas plants and significantly improves overall coal plant utilization. That increased utilization “means that coal plants have switched from just meeting the peak demand to supplying part of the baseline load, which will lower the cost of coal generation,” explains Ding.

Some concerns

While those trends are enlightening, the analyses also uncovered some concerns for India to consider, in particular, with the two approaches that yielded the lowest electricity costs.

The high renewables scenario is, Ding notes, “very ideal.” It assumes that there will be little limiting the development of wind and solar capacity, so there won’t be any issues with supply chains, which is unrealistic. More importantly, the analyses showed that implementing the high renewables approach would create uneven investment in renewables across the 30 regions. Resources for onshore and offshore wind farms are mainly concentrated in a few regions in western and southern India. “So all the wind farms would be put in those regions, near where the rich cities are,” says Ding. “The poorer cities on the eastern side, where the coal power plants are, will have little renewable investment.”

So the approach that’s best in terms of cost is not best in terms of social welfare, because it tends to benefit the rich regions more than the poor ones. “It’s like [the government will] need to consider the trade-off between energy justice and cost,” says Ding. Enacting state-level renewable generation targets could encourage a more even distribution of renewable capacity installation. Also, as transmission expansion is planned, coordination among power system operators and renewable energy investors in different regions could help in achieving the best outcome.

CCS plus biomass co-firing — the second-best option for reducing prices — solves the equity problem posed by high renewables, and it assumes a more realistic level of renewable power adoption. However, CCS hasn’t been used in India, so there is no precedent in terms of costs. The researchers therefore based their cost estimates on the cost of CCS in China and then increased the required investment by 10 percent, the “first-of-a-kind” index developed by the U.S. Energy Information Administration. Based on those costs and other assumptions, the researchers conclude that coal plants with CCS could come into use by 2035 when the carbon cap for power generation is less than 1,000 Mt.

But will CCS actually be implemented in India? While there’s been discussion about using CCS in heavy industry, the Indian government has not announced any plans for implementing the technology in coal-fired power plants. Indeed, India is currently “very conservative about CCS,” says Ding. “Some researchers say CCS won’t happen because it’s so expensive, and as long as there’s no direct use for the captured carbon, the only thing you can do is put it in the ground.” She adds, "It’s really controversial to talk about whether CCS will be implemented in India in the next 10 years.”

Ding and her colleagues hope that other researchers and policymakers — especially those working in developing countries — may benefit from gaining access to their datasets and learning about their methods. Based on their findings for India, she stresses the importance of understanding the detailed geographical situation in a country in order to design plans and policies that are both realistic and equitable.

The law enforcement arm of the U.S. Postal Service (USPS) recently joined a U.S. Department of Homeland Security (DHS) task force geared towards finding and deporting immigrants, according to a report from the Washington Post. Now, immigration officials want two sets of data from the U.S. Postal Inspection Service (USPIS). First, they want access to what the Post describes as the agency’s “broad surveillance systems, including Postal Service online account data, package- and mail-tracking information, credit card data and financial material and IP addresses.” Second, they want “mail covers,” meaning “photographs of the outside of envelopes and packages.”

Both proposals are alarming. The U.S. mail is a vital, constitutionally established system of communication and commerce that should not be distorted into infrastructure for dragnet surveillance. Immigrants have a human right to data privacy. And new systems of surveilling immigrants will inevitably expand to cover all people living in our country.

USPS Surveillance Systems

Mail is a necessary service in our society. Every day, the agency delivers 318 million letters, hosts 7 million visitors to its website, issues 209,000 money orders, and processes 93,000 address changes.

To obtain these necessary services, we often must provide some of our personal data to the USPS. According to the USPS’ Privacy Policy: “The Postal Service collects personal information from you and from your transactions with us.” It states that this can include “your name, email, mailing and/or business address, phone numbers, or other information that identifies you personally.” If you visit the USPS’s website, they “automatically collect and store” your IP address, the date and time of your visit, the pages you visited, and more. Also: “We occasionally collect data about you from financial entities to perform verification services and from commercial sources.”

The USPS should not collect, store, disclose, or use our data except as strictly necessary to provide us the services we request. This is often called “data minimization.” Among other things, in the words of a seminal 1973 report from the U.S. government: “There must be a way for an individual to prevent information about him that was obtained for one purpose from being used or made available for other purposes without [their] consent.” Here, the USPS should not divert customer data, collected for the purpose of customer service, to the new purpose of surveilling immigrants.

The USPS is subject to the federal Privacy Act of 1974, a watershed anti-surveillance statute. As the USPS acknowledges: “the Privacy Act applies when we use your personal information to know who you are and to interact with you.” Among other things, the Act limits how an agency may disclose a person’s records. (Sound familiar? EFF has a Privacy Act lawsuit against DOGE and the Office of Personnel Management.) While the Act only applies to citizens and lawful permanent residents, that will include many people who send mail to or receive mail from other immigrants. If USPS were to assert the “law enforcement” exemption from the Privacy Act’s non-disclosure rule, the agency would need to show (among other things) a written request for “the particular portion desired” of “the record.” It is unclear how dragnet surveillance like that reported by the Washington Post could satisfy this standard.

USPS Mail Covers

From 2015 to 2023, according to another report from the Washington Post, the USPS received more than 60,000 requests for “mail cover” information from federal, state, and local law enforcement. Each request could include days or weeks of information about the cover of mail sent to or from a person or address. The USPS approved 97% of these requests, leading to postal inspectors recording the covers of more than 312,000 letters and packages.

In 2023, a bipartisan group of eight U.S. Senators (led by Sen. Wyden and Sen. Paul) raised the alarm about this mass surveillance program:

While mail covers do not reveal the contents of correspondence, they can reveal deeply personal information about Americans’ political leanings, religious beliefs, or causes they support. Consequently, surveillance of this information does not just threaten Americans’ privacy, but their First Amendment rights to freely associate with political or religious organizations or peacefully assemble without the government watching.

The Senators called on the USPIS to “only conduct mail covers when a federal judge has approved this surveillance,” except in emergencies. We agree that, at minimum, a warrant based on probable cause should be required.

The USPS operates other dragnet surveillance programs. Its Mail Isolation Control and Tracking Program photographs the exterior of all mail, and it has been used for criminal investigations. The USPIS’s Internet Covert Operations Program (iCOP) conducts social media surveillance to identify protest activity. (Sound familiar? EFF has a FOIA lawsuit about iCOP.)

This is just the latest of many recent attacks on the data privacy of immigrants. Now is the time to restrain USPIS’s dragnet surveillance programs—not to massively expand them to snoop on immigrants. If this scheme goes into effect, it is only a matter of time before such USPIS spying is expanded against other vulnerable groups, such as protesters or people crossing state lines for reproductive or gender affirming health care. And then against everyone.

MIT Provost Cynthia Barnhart has announced that Vice Provost for the Arts Philip S. Khoury will step down from the position on Aug. 31. Khoury, the Ford International Professor of History, served in the role for 19 years. After a sabbatical, he will rejoin the faculty in the School of Humanities, Arts, and Social Sciences (SHASS).

“Since arriving at MIT in 1981, Philip has championed what he calls the Institute’s ‘artistic ecosystem,’ which sits at the intersection of technology, science, the humanities, and the arts. Thanks to Philip’s vision, this ecosystem is now a foundational element of MIT’s educational and research missions and a critical component of how we advance knowledge, understanding, and discovery in service to the world,” says Barnhart.

Khoury was appointed associate provost in 2006 by then-MIT president Susan Hockfield, with a double portfolio enhancing the Institute’s nonacademic arts programs and beginning a review of MIT’s international activities. Those programs include the List Visual Arts Center, the MIT Museum, the Center for Art, Science and Technology (CAST), and the Council for the Arts at MIT (CAMIT). After five years, the latter half of this portfolio evolved into the Office of the Vice Provost for International Activities. 

Khoury devoted most of his tenure to expanding the Institute’s arts infrastructure, promoting the visibility of its stellar arts faculty, and guiding the growth of student participation in the arts. Today, more than 50 percent of MIT undergraduates take arts classes, with more than 1,500 studying music.

“Philip has been a remarkable leader at MIT over decades. He has ensured that the arts are a prominent part of the MIT ‘mens-et-manus’ [‘mind-and-hand’] experience and that our community has the opportunity to admire, learn from, and participate in creative thinking in all realms,” says L. Rafael Reif, the Ray and Maria Stata Professor of Electrical Engineering and Computer Science and MIT president emeritus. “A historian — and a humanist at heart — Philip also played a crucial role in helping MIT develop a thoughtful international strategy in research and education."

“I will miss my colleagues first and foremost as I leave this position behind,” says Khoury. “But I have been proud to see the quality of the faculty grow and the student interest in the arts grow almost exponentially, along with an awareness of how the arts are prospering at MIT.”

Stream of creativity

During his time as vice provost, he partnered with then-School of Architecture and Planning (SAP) dean Adèle Santos and SHASS dean Deborah Fitzgerald to establish the CAST in 2012. The center encourages artistic collaborations and provides seed funds and research grants to students and faculty. 

Khoury also helped oversee a significant expansion of the Institute’s art facilities, including the unique multipurpose design of the Theater Arts Building, the new MIT Museum, and the Edward and Joyce Linde Music Building. Along with the List Visual Arts Center, which will celebrate its 40th anniversary this year, these vibrant spaces “offer an opportunity for our students to do something different from what they came to MIT to do in science and engineering,” Khoury suggests. “It gives them an outlet to do other kinds of experimentation.”

“What makes the arts so successful here is that they are very much in the stream of creativity, which science and technology are all about,” he adds.

One of Khoury’s other long-standing goals has been to elevate the recognition of the arts faculty, “to show that the quality of what we do in those areas matches the quality of what we do in engineering and science,” he says.

“I will always remember Philip Khoury’s leadership and advocacy as dean of the School of Humanities and Social Sciences for changing the definition of the ‘A’ in SHASS from ‘and’ to ‘Arts.’ That small change had large implications for professional careers for artists, enrollments, and subject options that remain a source of renewal and strength to this day,” says Institute Professor Marcus Thompson.

Most recently, Khoury and his team, in collaboration with faculty, students, and staff from across the Institute, oversaw the development and production of MIT’s new festival of the arts, known as Artfinity. Launched in February and open to the public, the Institute-sponsored, campus-wide festival featured a series of 80 performing and visual arts events.

International activities

Khoury joined the faculty as an assistant professor in 1981 and later served as dean of SHASS between 1991 and 2006. In 2002, he was appointed the inaugural Kenan Sahin Dean of SHASS.

His academic focus made him a natural choice for the first coordinator of MIT international activities, a role he served in from 2006 to 2011. During that time, he traveled widely to learn more about the ways MIT faculty were engaged abroad, and he led the production of an influential report on the state of MIT’s international activities.

“We wanted to create a strategy, but not a foreign policy,” Khoury said of the report.

Khoury’s time in the international role led him to consider ways that collaborations with other countries should be balanced so as not to diminish MIT’s offerings at home, he says. He also looked for ways to encourage more collaborations with countries in sub-Saharan Africa, South America, and parts of the Middle East.

Future plans

Khoury was instrumental in establishing the Future of the Arts at MIT Committee, which was charged by Provost Barnhart in June 2024 in collaboration with Dean Hashim Sarkis of the School of Architecture and Planning and Dean Agustín Rayo of SHASS. The committee aims to find new ways to envision the place of arts at the Institute — a task that was last undertaken in 1987, he says. The committee submitted a draft report to Provost Barnhart in April. 

“I think it will hit the real sweet spot of where arts meet science and technology, but not where art is controlled by science and technology,” Khoury says. “I think the promotion of that, and the emphasis on that, among other connections with art, are really what we should be pushing for and developing.”

After he steps down as vice provost, Khoury plans to devote more time to writing two books: a personal memoir and a book about the Middle East. And he is looking forward to seeing how the arts at MIT will flourish in the near future. “I feel elated about where we’ve landed and where we’ll continue to go,” he says.

As Barnhart noted in her letter to the community, the Future of the Arts at MIT Committee's efforts combined with Khoury staying on through the end of the summer, provides President Kornbluth, the incoming provost, and Khoury with the opportunity to reflect on the Institute’s path forward in this critical space.

What would a behind-the-scenes look at a video generated by an artificial intelligence model be like? You might think the process is similar to stop-motion animation, where many images are created and stitched together, but that’s not quite the case for “diffusion models” like OpenAl's SORA and Google's VEO 2.

Instead of producing a video frame-by-frame (or “autoregressively”), these systems process the entire sequence at once. The resulting clip is often photorealistic, but the process is slow and doesn’t allow for on-the-fly changes. 

Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Adobe Research have now developed a hybrid approach, called “CausVid,” to create videos in seconds. Much like a quick-witted student learning from a well-versed teacher, a full-sequence diffusion model trains an autoregressive system to swiftly predict the next frame while ensuring high quality and consistency. CausVid’s student model can then generate clips from a simple text prompt, turning a photo into a moving scene, extending a video, or altering its creations with new inputs mid-generation.

This dynamic tool enables fast, interactive content creation, cutting a 50-step process into just a few actions. It can craft many imaginative and artistic scenes, such as a paper airplane morphing into a swan, woolly mammoths venturing through snow, or a child jumping in a puddle. Users can also make an initial prompt, like “generate a man crossing the street,” and then make follow-up inputs to add new elements to the scene, like “he writes in his notebook when he gets to the opposite sidewalk.”

The CSAIL researchers say that the model could be used for different video editing tasks, like helping viewers understand a livestream in a different language by generating a video that syncs with an audio translation. It could also help render new content in a video game or quickly produce training simulations to teach robots new tasks.

Tianwei Yin SM ’25, PhD ’25, a recently graduated student in electrical engineering and computer science and CSAIL affiliate, attributes the model’s strength to its mixed approach.

“CausVid combines a pre-trained diffusion-based model with autoregressive architecture that’s typically found in text generation models,” says Yin, co-lead author of a new paper about the tool. “This AI-powered teacher model can envision future steps to train a frame-by-frame system to avoid making rendering errors.”

Yin’s co-lead author, Qiang Zhang, is a research scientist at xAI and a former CSAIL visiting researcher. They worked on the project with Adobe Research scientists Richard Zhang, Eli Shechtman, and Xun Huang, and two CSAIL principal investigators: MIT professors Bill Freeman and Frédo Durand.

Caus(Vid) and effect

Many autoregressive models can create a video that’s initially smooth, but the quality tends to drop off later in the sequence. A clip of a person running might seem lifelike at first, but their legs begin to flail in unnatural directions, indicating frame-to-frame inconsistencies (also called “error accumulation”).

Error-prone video generation was common in prior causal approaches, which learned to predict frames one by one on their own. CausVid instead uses a high-powered diffusion model to teach a simpler system its general video expertise, enabling it to create smooth visuals, but much faster.

CausVid displayed its video-making aptitude when researchers tested its ability to make high-resolution, 10-second-long videos. It outperformed baselines like “OpenSORA” and “MovieGen,” working up to 100 times faster than its competition while producing the most stable, high-quality clips.

Then, Yin and his colleagues tested CausVid’s ability to put out stable 30-second videos, where it also topped comparable models on quality and consistency. These results indicate that CausVid may eventually produce stable, hours-long videos, or even an indefinite duration.

A subsequent study revealed that users preferred the videos generated by CausVid’s student model over its diffusion-based teacher.

“The speed of the autoregressive model really makes a difference,” says Yin. “Its videos look just as good as the teacher’s ones, but with less time to produce, the trade-off is that its visuals are less diverse.”

CausVid also excelled when tested on over 900 prompts using a text-to-video dataset, receiving the top overall score of 84.27. It boasted the best metrics in categories like imaging quality and realistic human actions, eclipsing state-of-the-art video generation models like “Vchitect” and “Gen-3.”

While an efficient step forward in AI video generation, CausVid may soon be able to design visuals even faster — perhaps instantly — with a smaller causal architecture. Yin says that if the model is trained on domain-specific datasets, it will likely create higher-quality clips for robotics and gaming.

Experts say that this hybrid system is a promising upgrade from diffusion models, which are currently bogged down by processing speeds. “[Diffusion models] are way slower than LLMs [large language models] or generative image models,” says Carnegie Mellon University Assistant Professor Jun-Yan Zhu, who was not involved in the paper. “This new work changes that, making video generation much more efficient. That means better streaming speed, more interactive applications, and lower carbon footprints.”

The team’s work was supported, in part, by the Amazon Science Hub, the Gwangju Institute of Science and Technology, Adobe, Google, the U.S. Air Force Research Laboratory, and the U.S. Air Force Artificial Intelligence Accelerator. CausVid will be presented at the Conference on Computer Vision and Pattern Recognition in June.

Nominations are now open for the 2025 EFF Awards! The nomination window will be open until Friday, May 23rd at 2:00 PM Pacific time. You could nominate the next winner today!

For over thirty years, the Electronic Frontier Foundation presented awards to key leaders and organizations in the fight for freedom and innovation online. The EFF Awards celebrate the longtime stalwarts working on behalf of technology users, both in the public eye and behind the scenes. Past Honorees include visionary activist Aaron Swartz, human rights and security researchers The Citizen Lab, media activist Malkia Devich-Cyril, media group 404 Media, and whistle-blower Chelsea Manning.

The internet is a necessity in modern life and a continually evolving tool for communication, creativity, and human potential. Together we carry—and must always steward—the movement to protect civil liberties and human rights online. Will you help us spotlight some of the latest and most impactful work towards a better digital future?

Remember, nominations close on May 23rd at 2:00 PM Pacific time!

GO TO NOMINATION PAGE

Nominate your favorite digital rights Heroes now!

After you nominate your favorite contenders, we hope you will consider joining us on September 10 to celebrate the work of the 2025 winners. If you have any questions or if you'd like to receive updates about the event, please email events@eff.org.

The EFF Awards depend on the generous support of individuals and companies with passion for digital civil liberties. To learn about how you can sponsor the EFF Awards, please visit eff.org/thanks or contact tierney@eff.org for more information.

 

For the Abdul Latif Jameel Water and Food Systems Lab (J-WAFS), 2025 marks a decade of translating groundbreaking research into tangible solutions for global challenges. Few examples illustrate that mission better than NONA Technologies. With support from a J-WAFS Solutions grant, MIT electrical engineering and biological engineering Professor Jongyoon Han and his team developed a portable desalination device that transforms seawater into clean drinking water without filters or high-pressure pumps. 

The device stands apart from traditional systems because conventional desalination technologies, like reverse osmosis, are energy-intensive, prone to fouling, and typically deployed at large, centralized plants. In contrast, the device developed in Han’s lab employs ion concentration polarization technology to remove salts and particles from seawater, producing potable water that exceeds World Health Organization standards. It is compact, solar-powered, and operable at the push of a button — making it an ideal solution for off-grid and disaster-stricken areas.

This research laid the foundation for spinning out NONA Technologies along with co-founders Junghyo Yoon PhD ’21 from Han’s lab and Bruce Crawford MBA ’22, to commercialize the technology and address pressing water-scarcity issues worldwide. “This is really the culmination of a 10-year journey that I and my group have been on,” said Han in an earlier MIT News article. “We worked for years on the physics behind individual desalination processes, but pushing all those advances into a box, building a system, and demonstrating it in the ocean ... that was a really meaningful and rewarding experience for me.” You can watch this video showcasing the device in action.

Moving breakthrough research out of the lab and into the world is a well-known challenge. While traditional “seed” grants typically support early-stage research at Technology Readiness Level (TRL) 1-2, few funding sources exist to help academic teams navigate to the next phase of technology development. The J-WAFS Solutions Program is strategically designed to address this critical gap by supporting technologies in the high-risk, early-commercialization phase that is often neglected by traditional research, corporate, and venture funding. By supporting technologies at TRLs 3-5, the program increases the likelihood that promising innovations will survive beyond the university setting, advancing sufficiently to attract follow-on funding.

Equally important, the program gives academic researchers the time, resources, and flexibility to de-risk their technology, explore customer need and potential real-world applications, and determine whether and how they want to pursue commercialization. For faculty-led teams like Han’s, the J-WAFS Solutions Program provided the critical financial runway and entrepreneurial guidance needed to refine the technology, test assumptions about market fit, and lay the foundation for a startup team. While still in the MIT innovation ecosystem, Nona secured over $200,000 in non-dilutive funding through competitions and accelerators, including the prestigious MIT delta v Educational Accelerator. These early wins laid the groundwork for further investment and technical advancement.

Since spinning out of MIT, NONA has made major strides in both technology development and business viability. What started as a device capable of producing just over half-a-liter of clean drinking water per hour has evolved into a system that now delivers 10 times that capacity, at 5 liters per hour. The company successfully raised a $3.5 million seed round to advance its portable desalination device, and entered into a collaboration with the U.S. Army Natick Soldier Systems Center, where it co-developed early prototypes and began generating revenue while validating the technology. Most recently, NONA was awarded two SBIR Phase I grants totaling $575,000, one from the National Science Foundation and another from the National Institute of Environmental Health Sciences.

Now operating out of Greentown Labs in Somerville, Massachusetts, NONA has grown to a dedicated team of five and is preparing to launch its nona5 product later this year, with a wait list of over 1,000 customers. It is also kicking off its first industrial pilot, marking a key step toward commercial scale-up. “Starting a business as a postdoc was challenging, especially with limited funding and industry knowledge,” says Yoon, who currently serves as CTO of NONA. “J-WAFS gave me the financial freedom to pursue my venture, and the mentorship pushed me to hit key milestones. Thanks to J-WAFS, I successfully transitioned from an academic researcher to an entrepreneur in the water industry.”

NONA is one of several J-WAFS-funded technologies that have moved from the lab to market, part of a growing portfolio of water and food solutions advancing through MIT’s innovation pipeline. As J-WAFS marks a decade of catalyzing innovation in water and food, NONA exemplifies what is possible when mission-driven research is paired with targeted early-stage support and mentorship.

To learn more or get involved in supporting startups through the J-WAFS Solutions Program, please contact jwafs@mit.edu.

When your local police department buys one piece of surveillance equipment, you can easily expect that the company that sold it will try to upsell them on additional tools and upgrades. 

Axon has been adding AI to its repertoire, and it now features a whole “AI Era” bundle plan. One recent offering is Draft One, which connects to Axon’s body-worn cameras (BWCs) and uses AI to generate police reports based on the audio captured in the BWC footage. While use of the tool may start off as a free trial, Axon sees Draft One as another key product for capturing new customers, despite widespread skepticism of the accuracy of the reports, the inability to determine which reports have been drafted using the system, and the liability they could bring to prosecutions. 

In 2024, Axon acquired a company called Fusus, a platform that combines the growing stores of data that police departments collect—notifications from gunshot detection and automated license plate reader (ALPR) systems; footage from BWCs, drones, public cameras, and sometimes private cameras; and dispatch information—to create “real-time crime centers.” The company now claims that Fusus is being used by more than 250 different policing agencies.

 

Fusus claims to bring the power of the real-time crime center to police departments of all sizes, which includes the ability to help police access and use live footage from both public and private cameras through an add-on service that requires a recurring subscription. It also claims to integrate nicely with surveillance tools from other providers. Recently, it has been cutting ties, most notably with Flock Safety, as it starts to envelop some of the options its frenemies had offered. 

In the middle of April, Axon announced that it would begin offering fixed ALPR, a key feature of the Flock Safety catalogue, and an AI Assistant, which has been a core offering of Truleo, another Axon competitor.

Flock Safety's Bundles and FlockOS

Flock Safety is another major police technology company that has expanded its focus from one primary technology to a whole package of equipment and software services. 

Flock Safety started with ALPRs. These tools use a camera to read vehicle license plates, collecting the make, model, location, and other details which can be used for what Flock calls “Vehicle Fingerprinting.” The details are stored in a database that sometimes finds a match among a “hot list” provided by police officers, but otherwise just stores and shares data on how, where, and when everyone is driving and parking their vehicles. 

Founded in 2017, Flock Safety has been working to expand its camera-based offerings, and it now claims to have a presence in more than 5,000 jurisdictions around the country, including through law enforcement and neighborhood association customers. 

flock_proposal_for_brookhaven.png flock_proposal_for_brookhaven_2.png A list of FlockOS features proposed to Brookhaven Police Department in Georgia.

Among its tools are now the drone-as-first-responder system, gunshot detection, and a software platform meant to combine all of them. Flock also sells an option for businesses to use ALPRs to "optimize" marketing efforts and for analyzing traffic patterns to segment their patrons. Flock Safety offers the ability to integrate private camera systems as well.

flockos_hardware_software.png A price proposal for the FlockSafety platform made to Palatine, IL

Much of what Flock Safety does now comes together in their FlockOS system, which claims to bring together various surveillance feeds and facilitate real-time “situational awareness.”
Flock is optimistic about its future, recently opening a massive new manufacturing facility in Georgia.

Motorola Solutions' "Ecosystem"

When you think of Motorola, you may think of phones—but there’s a good chance that you missed the moment in 2011 when the phone side of the company, Motorola Mobility, split off from Motorola Solutions, which is now a big player in police surveillance.

On its website, Motorola Solutions claims that departments are better off using a whole list of equipment from the same ecosystem, boasting the tagline, “Technology that’s exponentially more powerful, together.” Motorola describes this as an "ecosystem of safety and security technologies" in its securities filings. In 2024, the company also reported $2 billion in sales, but unlike Axon, its customer base is not exclusively law enforcement and includes private entities like sports stadiums, schools, and hospitals.

Motorola’s technology includes 911 services, radio, BWCs, in-car cameras, ALPRs, drones, face recognition, crime mapping, and software that supposedly unifies it all. Notably, video can also come with artificial intelligence analysis, in some cases allowing law enforcement to search video and track individuals across cameras.

motorola_offerings_screenshot.png A screenshot from Motorola Solutions webpage on law enforcement technology.

In January 2019, Motorola Solutions acquired Vigilant Solutions, one of the big players in the ALPR market, as part of its takeover of Vaas International Holdings. Now the company (under the subsidiary DRN Data) claims to have billions of scans saved from police departments and private ALPR cameras around the country. Marketing language for its Vehicle Manager system highlights that “data is overwhelming,” because the amount of data being collected is “a lot.” It’s a similar claim made by other companies: Now that you’ve bought so many surveillance tools to collect so much data, you’re finding that it is too much data, so you now need more surveillance tools to organize and make sense of it.

SoundThinking's ‘SafetySmart Platform’

SoundThinking began as ShotSpotter, a so-called gunshot detection tool that uses microphones placed around a city to identify and locate sounds of gunshots. As news reports of the tool’s inaccuracy and criticisms have grown, the company has rebranded as SoundThinking, adding to its offerings ALPRs, case management, and weapons detection. The company is now marketing its SafetySmart platform, which claims to integrate different stores of data and apply AI analytics.

In 2024, SoundThinking laid out its whole scheme in its annual report, referring to it as the "cross-sell" component of their sales strategy. 

The "cross-sell" component of our strategy is designed to leverage our established relationships and understanding of the customer environs by introducing other capabilities on the SafetySmart platform that can solve other customer challenges. We are in the early stages of the upsell/cross-sell strategy, but it is promising - particularly around bundled sales such as ShotSpotter + ResourceRouter and CaseBuilder +CrimeTracer. Newport News, VA, Rocky Mount, NC, Reno, NV and others have embraced this strategy and recognized the value of utilizing multiple SafetySmart products to manage the entire life cycle of gun crime…. We will seek to drive more of this sales activity as it not only enhances our system's effectiveness but also deepens our penetration within existing customer relationships and is a proof point that our solutions are essential for creating comprehensive public safety outcomes. Importantly, this strategy also increases the average revenue per customer and makes our customer relationships even stickier.

Many of SoundThinking’s new tools rely on a push toward “data integration” and artificial intelligence. ALPRs can be integrated with ShotSpotter. ShotSpotter can be integrated with the CaseBuilder records management system, and CaseBuilder can be integrated with CrimeTracer. CrimeTracer, once known as COPLINK X, is a platform that SoundThinking describes as a “powerful law enforcement search engine and information platform that enables law enforcement to search data from agencies across the U.S.” EFF tracks this type of tool in the Atlas of Surveillance as a third-party investigative platform: software tools that combine open-source intelligence data, police records, and other data sources, including even those found on the dark web, to generate leads or conduct analyses. 

SoundThinking, like a lot of surveillance, can be costly for departments, but the company seems to see the value in fostering its existing police department relationships even if they’re not getting paid right now. In Baton Rouge, budget cuts recently resulted in the elimination of the $400,000 annual contract for ShotSpotter, but the city continues to use it. 

"They have agreed to continue that service without accepting any money from us for now, while we look for possible other funding sources. It was a decision that it's extremely expensive and kind of cost-prohibitive to move the sensors to other parts of the city," Baton Rouge Police Department Chief Thomas Morse told a local news outlet, WBRZ.

Beware the Bundle

Government surveillance is big business. The companies that provide surveillance and police data tools know that it’s lucrative to cultivate police departments as loyal customers. They’re jockeying for monopolization of the state surveillance market that they’re helping to build. While they may be marketing public safety in their pitches for products, from ALPRs to records management to investigatory analysis to AI everything, these companies are mostly beholden to their shareholders and bottom lines. 

The next time you come across BWCs or another piece of tech on your city council’s agenda or police department’s budget, take a closer look to see what other strings and surveillance tools might be attached. You are not just looking at one line item on the sheet—it’s probably an ongoing subscription to a whole package of equipment designed to challenge your privacy, and no sort of discount makes that a price worth paying.

To learn more about what surveillance tools your local agencies are using, take a look at EFF’s Atlas of Surveillance and our Street-Level Surveillance Hub. 

Reporting on the rise of fake students enrolling in community college courses:

The bots’ goal is to bilk state and federal financial aid money by enrolling in classes, and remaining enrolled in them, long enough for aid disbursements to go out. They often accomplish this by submitting AI-generated work. And because community colleges accept all applicants, they’ve been almost exclusively impacted by the fraud.

The article talks about the rise of this type of fraud, the difficulty of detecting it, and how it upends quite a bit of the class structure and learning community...

The agency didn't offer an alternative in its proposed repeal of rules that limit planet-warming pollution.

The agency would continue to pay the vast majority of cleanup and rebuilding costs under a budget-cutting proposal sent to the White House.