Colorado and California are among the states expediting clean energy projects to beat the phase-out of tax credits.

The host of this year's climate talks is trying to soothe concerns about hotel shortages and other logistical pitfalls.

Peatlands can help stop both Russian tanks and climate change.

Governments can’t use climate change as an excuse for failing to take preventive measures, scientists say.

The storms are a rare threat, with fewer than 1 out of every 10 of the storms crashing into the United States.

Nature Climate Change, Published online: 02 September 2025; doi:10.1038/s41558-025-02380-4

The ocean carbon sink strengthened in previous warm El Niño years due to reduced CO2 outgassing in the tropics. Here the authors show that the ocean carbon sink declined in 2023 despite record-high sea surface temperatures (SSTs), primarily due to SST-driven outgassing of CO2 in the subtropics.

Nature Climate Change, Published online: 01 September 2025; doi:10.1038/s41558-025-02415-w

The vulnerability of women and children in West Africa

The Electronic Frontier Alliance is growing and this year we’ve been honored to welcome Open Austin into the EFA. Open Austin began in 2009 as a meetup that successfully advocated for a city-run open data portal, and relaunched as a 501(c)3 in 2018 dedicated to reimagining civic engagement and digital equity by building volunteer open source projects for local social organizations.

As Central Texas’ oldest and largest grassroots civic tech organization, their work has provided hands-on training for over 1,500 members in the hard and soft skills needed to build digital society, not just scroll through it. Recently, I got the chance to speak with Liani Lye, Executive Director of Open Austin, about the organization, its work, and what lies ahead:

There’s so many exciting things happening with Open Austin. Can you tell us about your Civic Digital Lab and your Data Research Hub?

Open Austin's Civic Digital Lab reimagines civic engagement by training central Texans to build technology for the public good. We build freely, openly, and alongside a local community stakeholder to represent community needs. Our lab currently supports 5 products:

• Data Research Hub: Answering residents' questions with detailed information about our city
• Streamlining Austin Public Library’s “book a study room” UX and code
• Mapping landlords and rental properties to support local tenant rights organizing
• Promoting public transit by highlighting points of interest along bus routes
• Creating an interactive exploration of police bodycam data

We’re actively scaling up our Data Research Hub, which started in January 2025 and was inspired by 9b Corp’s Neighborhood Explorer. Through community outreach, we gather residents’ questions about our region and connect the questions with Open Austin’s data analysts. Each answered question adds to a pool of knowledge that equips communities to address local issues. Crucially, the organizing team at EFF, through the EFA, have connected us to local organizations to generate these questions.

Can you discuss your new Civic Data Fellowship cohort and Communities of Civic Practice? 

Launched in 2024, Open Austin’s Civic Data Fellowship trains the next generation of technologically savvy community leaders by pairing aspiring women, people of color, and LGBTQ+ data analysts with mentors to explore Austin’s challenges. These culminate in data projects and talks to advocates and policymakers, which double as powerful portfolio pieces.  While we weren’t able to fully fund Fellow stipends through grants this year, thanks to the generosity of our supporters, we successfully raised 25% through grassroots efforts.

Along with our fellowship and lab, we host monthly Communities of Civic Practice peer-learning circles that build skills for employability and practical civic engagement. Recent sessions include a speaker on service design in healthcare, and co-creating a data visualization on broadband adoption presented to local government staff. Our in-person communities are a great way to learn and build local public interest tech without becoming a full-on Labs contributor.

For those in Austin and Central Texas that want to get involved in-person, how can they plug-in?

If you can only come to one event for the rest of the year, come to our Open Austin’s 2025 Year-End Celebration. Open Austin members plus our freshly graduated Civic Data Fellow cohort will give lightning talks to share how they’ve supported local social advocacy through open source software and open data work. Otherwise, come to a monthly remote volunteer orientation call. There, we'll share how to get involved in our in-person Communities of Civic Practice and our remote Civic Digital Labs (aka, building open source software).

Open Austin welcomes volunteers from all backgrounds, including those with skills in marketing, fundraising, communications, and operations - not just technologists. You can make a difference in various ways. Come to a remote volunteer orientation call to learn more. And, as always, donate. Running multiple open source projects for structured workforce development is expensive, and your contributions help sustain Open Austin's work in the community. Please visit our donation page for ways to give; thanks EFF!

First-person account of someone accidentally catching several Humboldt squid on a fishing line. No photos, though.

As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.

Blog moderation policy.

For a long time, Satik Movsesyan envisioned a future of working in finance and also pursuing a full-time master’s degree program at the MIT Sloan School of Management. She says the MITx MicroMasters Program in Finance provides her with the ideal opportunity to directly enhance her career with courses developed and delivered by MIT Sloan faculty.

Movsesyan first began actively pursuing ways to connect with the MIT community as a first-year student in her undergraduate program at the American University of Armenia, where she majored in business with a concentration in accounting and finance. That’s when she discovered the MicroMasters Program in Finance. Led by MIT Open Learning and MIT Sloan, the program offers learners an opportunity to advance in the finance field through a rigorous, comprehensive online curriculum comprising foundational courses, mathematical methods, and advanced modeling. During her senior year, she started taking courses in the program, beginning with 15.516x (Financial Accounting).

“I saw completing the MicroMasters program as a way to accelerate my time at MIT offline, as well as to prepare me for the academic rigor,” says Movsesyan. “The program provides a way for me to streamline my studies, while also working toward transforming capital markets here in Armenia — in a way, also helping me to streamline my career.”

Movsesyan initially started as an intern at C-Quadrat Ampega Asset Management Armenia and was promoted to her current role of financial analyst. The firm is one of two pension asset managers in Armenia. Movsesyan credits the MicroMasters program with helping her to make deeper inferences in terms of analytical tasks and empowering her to create more enhanced dynamic models to support the efficient allocation of assets. Her learning has enabled her to build different valuation models for financial instruments. She is currently developing a portfolio management tool for her company.

“Although the courses are grounded deeply in theory, they never lack a perfect applicability component, which makes them very useful,” says Movsesyan. “Having MIT’s MicroMasters on a CV adds credibility as a professional, and your input becomes more valued by the employer.”

Movsesyan says that the program has helped her to develop resilience, as well as critical and analytical thinking. Her long-term goal is to become a portfolio manager and ultimately establish an asset management company, targeted at offering an extensive range of funds based on diverse risk-return preferences of investors, while promoting transparent and sustainable investment practices. 

“The knowledge I’ve gained from the variety of courses is a perfect blend which supports me day-to-day in building solutions to existing problems in asset management,” says Movsesyan.

In addition to being a learner in the program, Movsesyan serves as a community teaching assistant (CTA). After taking 15.516x, she became a CTA for that course, working with learners around the world. She says that this role of helping and supporting others requires constantly immersing herself in the course content, which also results in challenging herself and mastering the material.

“I think my story with the MITx MicroMasters Program is proof that no matter where you are — even if you’re in a small, developing country with limited resources — if you truly want to do something, you can achieve what you want,” says Movsesyan. “It’s an example for students around the world who also have transformative ideas and determination to take action. They can be a part of the MIT community.”

I just heard about this:

There’s a travel scam warning going around the internet right now: You should keep your baggage tags on your bags until you get home, then shred them, because scammers are using luggage tags to file fraudulent claims for missing baggage with the airline.

First, the scam is possible. I had a bag destroyed by baggage handlers on a recent flight, and all the information I needed to file a claim was on my luggage tag. I have no idea if I will successfully get any money from the airline, or what form it will be in, or how it will be tied to my name, but at least the first step is possible...

For over 35 years, the Electronic Frontier Foundation has presented awards recognizing key leaders and organizations advancing innovation and championing digital rights. The EFF Awards celebrate the accomplishments of people working toward a better future for technology users, both in the public eye and behind the scenes.

EFF is pleased to welcome all members of the digital rights community, supporters, and friends to this annual award ceremony. Join us to celebrate this year's honorees with drinks, bytes, and excellent company.

 

EFF Award Ceremony
Wednesday, September 10th, 2025
6:00 PM to 10:00 PM Pacific
San Francisco Design Center Galleria
101 Henry Adams Street, San Francisco, CA

Register Now

General Admission: $55 | Current EFF Members: $45 | Students: $35

The celebration will include a strolling dinner and desserts, as well as a hosted bar with cocktails, mocktails, wine, beer, and non-alcoholic beverages! Vegan, vegetarian, and gluten-free food options will be available. We hope to see you in person, wearing either a signature EFF hoodie, or something formal if you're excited for the opportunity to dress up!

If you're not able to make it, we'll also be hosting a livestream of the event on Friday, September 12 at 12:00 PM PT. The event will also be recorded, and posted to YouTube and the Internet Archive after the livestream.

We are proud to present awards to this year's winners:JUST FUTURES LAW

EFF Award for Leading Immigration and Surveillance Litigation

ERIE MEYER

EFF Award for Protecting Americans' Data

SOFTWARE FREEDOM LAW CENTER, INDIA

EFF Award for Defending Digital Freedoms

 More About the 2025 EFF Award Winners

Just Futures Law

Just Futures Law is a women-of-color-led law project that recognizes how surveillance disproportionately impacts immigrants and people of color in the United States.  It uses litigation to fight back as part of defending and building the power of immigrant rights and criminal justice activists, organizers, and community groups to prevent criminalization, detention, and deportation of immigrants and people of color. Just Futures was founded in 2019 using a movement lawyering and racial justice framework and seeks to transform how litigation and legal support serves communities and builds movement power.  

In the past year, Just Futures sued the Department of Homeland Security and its subagencies seeking a court order to compel the agencies to release records on their use of AI and other algorithms, and sued the Trump Administration for prematurely halting Haiti’s Temporary Protected Status, a humanitarian program that allows hundreds of thousands of Haitians to temporarily remain and work in the United States due to Haiti’s current conditions of extraordinary crises. It has represented activists in their fight against tech giants like Clearview AI, it has worked with Mijente to launch the TakeBackTech fellowship to train new advocates on grassroots-directed research, and it has worked with Grassroots Leadership to fight for the release of detained individuals under Operation Lone Star.

Erie Meyer

Erie Meyer is a Senior Fellow at the Vanderbilt Policy Accelerator where she focuses on the intersection of technology, artificial intelligence, and regulation, and a Senior Fellow at the Georgetown Law Institute for Technology Law & Policy. She is former Chief Technologist at both the Consumer Financial Protection Bureau (CFPB) and the Federal Trade Commission. Earlier, she was senior advisor to the U.S. Chief Technology Officer at the White House, where she co-founded the United States Digital Service, a team of technologists and designers working to improve digital services for the public. Meyer also worked as senior director at Code for America, a nonprofit that promotes civic hacking to modernize government services, and in the Ohio Attorney General's office at the height of the financial crisis. 

 

Since January 20, Meyer has helped organize former government technologists to stand up for the privacy and integrity of governmental systems that hold Americans’ data. In addition to organizing others, she filed a declaration in federal court in February warning that 12 years of critical records could be irretrievably lost in the CFPB’s purge by the Trump Administration’s Department of Government Efficiency. In April, she filed a declaration in another case warning about using private-sector AI on government information. That same month, she testified to the House Oversight Subcommittee on Cybersecurity, Information Technology, and Government Innovation that DOGE is centralizing access to some of the most sensitive data the government holds—Social Security records, disability claims, even data tied to national security—without a clear plan or proper oversight, warning that “DOGE is burning the house down and calling it a renovation.” 

Software Freedom Law Center

Software Freedom Law Center, India is a donor-supported legal services organization based in India that brings together lawyers, policy analysts, students, and technologists to protect freedom in the digital world. It promotes innovation and open access to knowledge by helping developers make great free and open-source software, protects privacy and civil liberties for Indians by educating and providing free legal advice, and helps policymakers make informed and just decisions about use of technology. 

Founded in 2010 by technology lawyer and online civil liberties activist Mishi Choudhary, SFLC.IN tracks and participates in litigation, AI regulations, and free speech issues that are defining Indian technology. It also tracks internet shutdowns and censorship incidents across India, provides digital security training, and has launched the Digital Defenders Network, a pan-Indian network of lawyers committed to protecting digital rights. It has conducted landmark litigation cases, petitioned the government of India on freedom of expression and internet issues, and campaigned for WhatsApp and Facebook to fix a feature of their platform that has been used to harass women in India. 

Thank you to Fastly, DuckDuckGo, Corellium, and No Starch Press for their year-round support of EFF's mission.

Want to show your team’s support for EFF? Sponsorships ensure we can continue hosting events like this to build community among digital rights supporters. Please visit eff.org/thanks or contact tierney@eff.org for more information on corporate giving and sponsorships.

EFF is dedicated to a harassment-free experience for everyone, and all participants are encouraged to view our full Event Expectations.

Questions? Email us at events@eff.org.

 

In an unhappy coincidence, the Covid-19 pandemic and Angie Jo’s doctoral studies in political science both began in 2019. Paradoxically, this global catastrophe helped define her primary research thrust.

As countries reacted with unprecedented fiscal measures to protect their citizens from economic collapse, Jo MCP ’19 discerned striking patterns among these interventions: Nations typically seen as the least generous on social welfare were suddenly deploying the most dramatic emergency responses.

“I wanted to understand why countries like the U.S., which famously offer minimal state support, suddenly mobilize an enormous emergency response to a crisis — only to let it vanish after the crisis passes,” says Jo.

Driven by this interest, Jo launched into a comparative exploration of welfare states that forms the backbone of her doctoral research. Her work examines how different types of welfare regimes respond to collective crises, and whether these responses lead to lasting institutional reforms or merely temporary patches.

A mismatch in investments

Jo’s research focuses on a particular subset of advanced industrialized democracies — countries like the United States, United Kingdom, Canada, and Australia — that political economists classify as “liberal welfare regimes.” These nations stand in contrast to the “social democratic welfare regimes” exemplified by Scandinavian countries.

“In everyday times, citizens in countries like Denmark or Sweden are already well-protected by a deep and comprehensive welfare state,” Jo explains. “When something like Covid hits, these countries were largely able to use the social policy tools and administrative infrastructure they already had, such as subsidized childcare and short-time work schemes that prevent mass layoffs.”

Liberal welfare regimes, however, exhibit a different pattern. During normal periods, "government assistance is viewed by many as the last resort,” Jo observes. “It’s means-tested and minimal, and the responsibility to manage risk is put on the individual.”

Yet when Covid struck, these same governments “spent historically unprecedented amounts on emergency aid to citizens, including stimulus checks, expanded unemployment insurance, child tax credits, grants, and debt forbearance that might normally have faced backlash from many Americans as government ‘handouts.’”

This stark contrast — minimal investment in social safety nets during normal times followed by massive crisis spending — lies at the heart of Jo’s inquiry. “What struck me was the mismatch: The U.S. invests so little in social welfare at baseline, but when crisis hits, it can suddenly unleash massive aid — just not in ways that stick. So what happens when the next crisis comes?”

From architecture to political economy

Jo took a winding path to studying welfare states in crisis. Born in South Korea, she moved with her family to California at age 3 as her parents sought an American education for their children. After moving back to Korea for high school, she attended Harvard University, where she initially focused on art and architecture.

“I thought I’d be an artist,” Jo recalls, “but I always had many interests, and I was very aware of different countries and different political systems, because we were moving around a lot.”

While studying architecture at Harvard, Jo’s academic focus pivoted.

“I realized that most of the decisions around how things get built, whether it’s a building or a city or infrastructure, are made by the government or by powerful private actors,” she explains. “The architect is the artist’s hand that is commissioned to execute, but the decisions behind it, I realized, were what interested me more.”

After a year working in macroeconomics research at a hedge fund, Jo found herself drawn to questions in political economy. “While I didn’t find the zero-sum game of finance compelling, I really wanted to understand the interactions between markets and governments that lay behind the trades,” she says.

Jo decided to pursue a master’s degree in city planning at MIT, where she studied the political economy of master-planning new cities as a form of industrial policy in China and South Korea, before transitioning to the political science PhD program. Her research focus shifted dramatically when the Covid-19 pandemic struck.

“It was the first time I realized, wow, these wealthy Western democracies have serious problems, too,” Jo says. “They are not dealing well with this pandemic and the structural inequalities and the deep tensions that have always been part of some of these societies, but are being tested even further by the enormity of this shock.”

The costs of crisis response

One of Jo’s key insights challenges conventional wisdom about fiscal conservatism. The assumption that keeping government small saves money in the long run may be fundamentally flawed when considering crisis response.

“What I’m exploring in my research is the irony that the less you invest in a capable, effective and well-resourced government, the more that backfires when a crisis inevitably hits and you have to patch up the holes,” Jo argues. “You’re not saving money; you’re deferring the cost.”

This inefficiency becomes particularly apparent when examining how different countries deployed aid during Covid. Countries like Denmark, with robust data systems connecting health records, employment information, and family data, could target assistance with precision. The United States, by contrast, relied on blunter instruments.

“If your system isn’t built to deliver aid in normal times, it won’t suddenly work well under pressure,” Jo explains. “The U.S. had to invent entire programs from scratch overnight — and many were clumsy, inefficient, or regressive.”

There is also a political aspect to this constraint. “Not only do liberal welfare countries lack the infrastructure to address crises, they are often governed by powerful constituencies that do not want to build it — they deliberately choose to enact temporary benefits that are precisely designed to fade,” Jo argues. “This perpetuates a cycle where short-term compensations are employed from crisis to crisis, constraining the permanent expansion of the welfare state.”

Missed opportunities

Jo’s dissertation also examines whether crises provide opportunities for institutional reform. Her second paper focuses on the 2008 financial crisis in the United States, and the Hardest Hit Fund, a program that allocated federal money to state housing finance agencies to prevent foreclosures.

“I ask why, with hundreds of millions in federal aid and few strings attached, state agencies ultimately helped so few underwater homeowners shed unmanageable debt burdens,” Jo says. “The money and the mandate were there — the transformative capacity wasn’t.”

Some states used the funds to pursue ambitious policy interventions, such as restructuring mortgage debt to permanently reduce homeowners’ principal and interest burdens. However, most opted for temporary solutions like helping borrowers make up missed payments, while preserving their original contract. Partisan politics, financial interests, and status quo bias are most likely responsible for these varying state strategies, Jo believes.

She sees this as “another case of the choice that governments have between throwing money at the problem as a temporary Band-Aid solution, or using a crisis as an opportunity to pursue more ambitious, deeper reforms that help people more sustainably in the long run.”

The significance of crisis response research

For Jo, understanding how welfare states respond to crises is not just an academic exercise, but a matter of profound human consequence.

“When there’s an event like the financial crisis or Covid, the scale of suffering and the welfare gap that emerges is devastating,” Jo emphasizes. “I believe political science should be actively studying these rare episodes, rather than disregarding them as once-in-a-century anomalies.”

Her research carries implications for how we think about welfare state design and crisis preparedness. As Jo notes, the most vulnerable members of society — “people who are unbanked, undocumented, people who have low or no tax liability because they don’t make enough, immigrants or those who don’t speak English or don’t have access to the internet or are unhoused” — are often invisible to relief systems.

As Jo prepares for her career in academia, she is motivated to apply her political science training to address such failures. “We’re going to have more crises, whether pandemics, AI, climate disasters, or financial shocks,” Jo warns. “Finding better ways to cover those people is essential, and is not something that our current welfare state — or our politics — are designed to handle.”

Every year, global health experts are faced with a high-stakes decision: Which influenza strains should go into the next seasonal vaccine? The choice must be made months in advance, long before flu season even begins, and it can often feel like a race against the clock. If the selected strains match those that circulate, the vaccine will likely be highly effective. But if the prediction is off, protection can drop significantly, leading to (potentially preventable) illness and strain on health care systems.

This challenge became even more familiar to scientists in the years during the Covid-19 pandemic. Think back to the time (and time and time again), when new variants emerged just as vaccines were being rolled out. Influenza behaves like a similar, rowdy cousin, mutating constantly and unpredictably. That makes it hard to stay ahead, and therefore harder to design vaccines that remain protective.

To reduce this uncertainty, scientists at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the MIT Abdul Latif Jameel Clinic for Machine Learning in Health set out to make vaccine selection more accurate and less reliant on guesswork. They created an AI system called VaxSeer, designed to predict dominant flu strains and identify the most protective vaccine candidates, months ahead of time. The tool uses deep learning models trained on decades of viral sequences and lab test results to simulate how the flu virus might evolve and how the vaccines will respond.

Traditional evolution models often analyze the effect of single amino acid mutations independently. “VaxSeer adopts a large protein language model to learn the relationship between dominance and the combinatorial effects of mutations,” explains Wenxian Shi, a PhD student in MIT’s Department of Electrical Engineering and Computer Science, researcher at CSAIL, and lead author of a new paper on the work. “Unlike existing protein language models that assume a static distribution of viral variants, we model dynamic dominance shifts, making it better suited for rapidly evolving viruses like influenza.”

An open-access report on the study was published today in Nature Medicine.

The future of flu

VaxSeer has two core prediction engines: one that estimates how likely each viral strain is to spread (dominance), and another that estimates how effectively a vaccine will neutralize that strain (antigenicity). Together, they produce a predicted coverage score: a forward-looking measure of how well a given vaccine is likely to perform against future viruses.

The scale of the score could be from an infinite negative to 0. The closer the score to 0, the better the antigenic match of vaccine strains to the circulating viruses. (You can imagine it as the negative of some kind of “distance.”)

In a 10-year retrospective study, the researchers evaluated VaxSeer’s recommendations against those made by the World Health Organization (WHO) for two major flu subtypes: A/H3N2 and A/H1N1. For A/H3N2, VaxSeer’s choices outperformed the WHO’s in nine out of 10 seasons, based on retrospective empirical coverage scores (a surrogate metric of the vaccine effectiveness, calculated from the observed dominance from past seasons and experimental HI test results). The team used this to evaluate vaccine selections, as the effectiveness is only available for vaccines actually given to the population. 

For A/H1N1, it outperformed or matched the WHO in six out of 10 seasons. In one notable case, for the 2016 flu season, VaxSeer identified a strain that wasn’t chosen by the WHO until the following year. The model’s predictions also showed strong correlation with real-world vaccine effectiveness estimates, as reported by the CDC, Canada’s Sentinel Practitioner Surveillance Network, and Europe’s I-MOVE program. VaxSeer’s predicted coverage scores aligned closely with public health data on flu-related illnesses and medical visits prevented by vaccination.

So how exactly does VaxSeer make sense of all these data? Intuitively, the model first estimates how rapidly a viral strain spreads over time using a protein language model, and then determines its dominance by accounting for competition among different strains.

Once the model has calculated its insights, they’re plugged into a mathematical framework based on something called ordinary differential equations to simulate viral spread over time. For antigenicity, the system estimates how well a given vaccine strain will perform in a common lab test called the hemagglutination inhibition assay. This measures how effectively antibodies can inhibit the virus from binding to human red blood cells, which is a widely used proxy for antigenic match/antigenicity. 

Outpacing evolution

“By modeling how viruses evolve and how vaccines interact with them, AI tools like VaxSeer could help health officials make better, faster decisions — and stay one step ahead in the race between infection and immunity,” says Shi. 

VaxSeer currently focuses only on the flu virus’s HA (hemagglutinin) protein,the major antigen of influenza. Future versions could incorporate other proteins like NA (neuraminidase), and factors like immune history, manufacturing constraints, or dosage levels. Applying the system to other viruses would also require large, high-quality datasets that track both viral evolution and immune responses — data that aren’t always publicly available. The team, however is currently working on the methods that can predict viral evolution in low-data regimes building on relations between viral families

“Given the speed of viral evolution, current therapeutic development often lags behind. VaxSeer is our attempt to catch up,” says Regina Barzilay, the School of Engineering Distinguished Professor for AI and Health at MIT, AI lead of Jameel Clinic, and CSAIL principal investigator. 

“This paper is impressive, but what excites me perhaps even more is the team’s ongoing work on predicting viral evolution in low-data settings,” says Assistant Professor Jon Stokes of the Department of Biochemistry and Biomedical Sciences at McMaster University in Hamilton, Ontario. “The implications go far beyond influenza. Imagine being able to anticipate how antibiotic-resistant bacteria or drug-resistant cancers might evolve, both of which can adapt rapidly. This kind of predictive modeling opens up a powerful new way of thinking about how diseases change, giving us the opportunity to stay one step ahead and design clinical interventions before escape becomes a major problem.”

Shi and Barzilay wrote the paper with MIT CSAIL postdoc Jeremy Wohlwend ’16, MEng ’17, PhD ’25 and recent CSAIL affiliate Menghua Wu ’19, MEng ’20, PhD ’25. Their work was supported, in part, by the U.S. Defense Threat Reduction Agency and MIT Jameel Clinic.

The US Director of National Intelligence is reporting that the UK government is dropping its backdoor mandate against the Apple iPhone. For now, at least, assuming that Tulsi Gabbard is reporting this accurately.

Today’s electric vehicle boom is tomorrow’s mountain of electronic waste. And while myriad efforts are underway to improve battery recycling, many EV batteries still end up in landfills.

A research team from MIT wants to help change that with a new kind of self-assembling battery material that quickly breaks apart when submerged in a simple organic liquid. In a new paper published in Nature Chemistry, the researchers showed the material can work as the electrolyte in a functioning, solid-state battery cell and then revert back to its original molecular components in minutes.

The approach offers an alternative to shredding the battery into a mixed, hard-to-recycle mass. Instead, because the electrolyte serves as the battery’s connecting layer, when the new material returns to its original molecular form, the entire battery disassembles to accelerate the recycling process.

“So far in the battery industry, we’ve focused on high-performing materials and designs, and only later tried to figure out how to recycle batteries made with complex structures and hard-to-recycle materials,” says the paper’s first author Yukio Cho PhD ’23. “Our approach is to start with easily recyclable materials and figure out how to make them battery-compatible. Designing batteries for recyclability from the beginning is a new approach.”

Joining Cho on the paper are PhD candidate Cole Fincher, Ty Christoff-Tempesta PhD ’22, Kyocera Professor of Ceramics Yet-Ming Chiang, Visiting Associate Professor Julia Ortony, Xiaobing Zuo, and Guillaume Lamour.

Better batteries

There’s a scene in one of the “Harry Potter” films where Professor Dumbledore cleans a dilapidated home with the flick of the wrist and a spell. Cho says that image stuck with him as a kid. (What better way to clean your room?) When he saw a talk by Ortony on engineering molecules so that they could assemble into complex structures and then revert back to their original form, he wondered if it could be used to make battery recycling work like magic.

That would be a paradigm shift for the battery industry. Today, batteries require harsh chemicals, high heat, and complex processing to recycle. There are three main parts of a battery: the positively charged cathode, the negatively charged electrode, and the electrolyte that shuttles lithium ions between them. The electrolytes in most lithium-ion batteries are highly flammable and degrade over time into toxic byproducts that require specialized handling.

To simplify the recycling process, the researchers decided to make a more sustainable electrolyte. For that, they turned to a class of molecules that self-assemble in water, named aramid amphiphiles (AAs), whose chemical structures and stability mimic that of Kevlar. The researchers further designed the AAs to contain polyethylene glycol (PEG), which can conduct lithium ions, on one end of each molecule. When the molecules are exposed to water, they spontaneously form nanoribbons with ion-conducting PEG surfaces and bases that imitate the robustness of Kevlar through tight hydrogen bonding. The result is a mechanically stable nanoribbon structure that conducts ions across its surface.

“The material is composed of two parts,” Cho explains. “The first part is this flexible chain that gives us a nest, or host, for lithium ions to jump around. The second part is this strong organic material component that is used in the Kevlar, which is a bulletproof material. Those make the whole structure stable.”

When added to water, the nanoribbons self-assemble to form millions of nanoribbons that can be hot-pressed into a solid-state material.

“Within five minutes of being added to water, the solution becomes gel-like, indicating there are so many nanofibers formed in the liquid that they start to entangle each other,” Cho says. “What’s exciting is we can make this material at scale because of the self-assembly behavior.”

The team tested the material’s strength and toughness, finding it could endure the stresses associated with making and running the battery. They also constructed a solid-state battery cell that used lithium iron phosphate for the cathode and lithium titanium oxide as the anode, both common materials in today’s batteries. The nanoribbons moved lithium ions successfully between the electrodes, but a side-effect known as polarization limited the movement of lithium ions into the battery’s electrodes during fast bouts of charging and discharging, hampering its performance compared to today’s gold-standard commercial batteries.

“The lithium ions moved along the nanofiber all right, but getting the lithium ion from the nanofibers to the metal oxide seems to be the most sluggish point of the process,” Cho says.

When they immersed the battery cell into organic solvents, the material immediately dissolved, with each part of the battery falling away for easier recycling. Cho compared the materials’ reaction to cotton candy being submerged in water.

“The electrolyte holds the two battery electrodes together and provides the lithium-ion pathways,” Cho says. “So, when you want to recycle the battery, the entire electrolyte layer can fall off naturally and you can recycle the electrodes separately.”

Validating a new approach

Cho says the material is a proof of concept that demonstrates the recycle-first approach.

“We don’t want to say we solved all the problems with this material,” Cho says. “Our battery performance was not fantastic because we used only this material as the entire electrolyte for the paper, but what we’re picturing is using this material as one layer in the battery electrolyte. It doesn’t have to be the entire electrolyte to kick off the recycling process.”

Cho also sees a lot of room for optimizing the material’s performance with further experiments.

Now, the researchers are exploring ways to integrate these kinds of materials into existing battery designs as well as implementing the ideas into new battery chemistries.

“It’s very challenging to convince existing vendors to do something very differently,” Cho says. “But with new battery materials that may come out in five or 10 years, it could be easier to integrate this into new designs in the beginning.”

Cho also believes the approach could help reshore lithium supplies by reusing materials from batteries that are already in the U.S.

“People are starting to realize how important this is,” Cho says. “If we can start to recycle lithium-ion batteries from battery waste at scale, it’ll have the same effect as opening lithium mines in the U.S. Also, each battery requires a certain amount of lithium, so extrapolating out the growth of electric vehicles, we need to reuse this material to avoid massive lithium price spikes.”

The work was supported, in part, by the National Science Foundation and the U.S. Department of Energy.

Nature Climate Change, Published online: 28 August 2025; doi:10.1038/s41558-025-02412-z

IPCC assessments are of limited use to the UNFCCC policy process due to misalignment and lack of relevance, with the situation further exacerbated by the UNFCCC’s weak scientific uptake mechanisms. The interface between the IPCC and the UNFCCC urgently needs to be reformed to facilitate a more effective science–policy connection.

Nature Climate Change, Published online: 28 August 2025; doi:10.1038/s41558-025-02413-y

How much methane will be emitted from the boreal-Arctic region under climate change is not well constrained. Here the authors show that accounting for distinct wetland and lake classes leads to lower estimates of current methane loss as some classes emit low amounts of methane.

In World War II, Britain was fighting for its survival against German aerial bombardment. Yet Britain was importing dyes from Germany at the same time. This sounds curious, to put it mildly. How can two countries at war with each other also be trading goods?

Examples of this abound, actually. Britain also traded with its enemies for almost all of World War I. India and Pakistan conducted trade with each other during the First Kashmir War, from 1947 to 1949, and during the India-Pakistan War of 1965. Croatia and then-Yugoslavia traded with each other while fighting in 1992.

“States do in fact trade with their enemies during wars,” says MIT political scientist Mariya Grinberg. “There is a lot of variation in which products get traded, and in which wars, and there are differences in how long trade lasts into a war. But it does happen.”

Indeed, as Grinberg has found, state leaders tend to calculate whether trade can give them an advantage by boosting their own economies while not supplying their enemies with anything too useful in the near term.

“At its heart, wartime trade is all about the tradeoff between military benefits and economic costs,” Grinberg says. “Severing trade denies the enemy access to your products that could increase their military capabilities, but it also incurs a cost to you because you’re losing trade and neutral states could take over your long-term market share.” Therefore, many countries try trading with their wartime foes.

Grinberg explores this topic in a groundbreaking new book, the first one on the subject, “Trade in War: Economic Cooperation Across Enemy Lines,” published this month by Cornell University Press. It is also the first book by Grinberg, an assistant professor of political science at MIT.

Calculating time and utility

“Trade in War” has its roots in research Grinberg started as a doctoral student at the University of Chicago, where she noticed that wartime trade was a phenomenon not yet incorporated into theories of state behavior.

Grinberg wanted to learn about it comprehensively, so, as she quips, “I did what academics usually do: I went to the work of historians and said, ‘Historians, what have you got for me?’”

Modern wartime trading began during the Crimean War, which pitted Russia against France, Britain, the Ottoman Empire, and other allies. Before the war’s start in 1854, France had paid for many Russian goods that could not be shipped because ice in the Baltic Sea was late to thaw. To rescue its produce, France then persuaded Britain and Russia to adopt “neutral rights,” codified in the 1856 Declaration of Paris, which formalized the idea that goods in wartime could be shipped via neutral parties (sometimes acting as intermediaries for warring countries).

“This mental image that everyone has, that we don’t trade with our enemies during war, is actually an artifact of the world without any neutral rights,” Grinberg says. “Once we develop neutral rights, all bets are off, and now we have wartime trade.”

Overall, Grinberg’s systematic analysis of wartime trade shows that it needs to be understood on the level of particular goods. During wartime, states calculate how much it would hurt their own economies to stop trade of certain items; how useful specific products would be to enemies during war, and in what time frame; and how long a war is going to last.

“There are two conditions under which we can see wartime trade,” Grinberg says. “Trade is permitted when it does not help the enemy win the war, and it’s permitted when ending it would damage the state’s long-term economic security, beyond the current war.”

Therefore a state might export diamonds, knowing an adversary would need to resell such products over time to finance any military activities. Conversely, states will not trade products that can quickly convert into military use.

“The tradeoff is not the same for all products,” Grinberg says. “All products can be converted into something of military utility, but they vary in how long that takes. If I’m expecting to fight a short war, things that take a long time for my opponent to convert into military capabilities won’t help them win the current war, so they’re safer to trade.” Moreover, she adds, “States tend to prioritize maintaining their long-term economic stability, as long as the stakes don’t hit too close to home.”

This calculus helps explain some seemingly inexplicable wartime trade decisions. In 1917, three years into World War I, Germany started trading dyes to Britain. As it happens, dyes have military uses, for example as coatings for equipment. And World War I, infamously, was lasting far beyond initial expectations. But as of 1917, German planners thought the introduction of unrestricted submarine warfare would bring the war to a halt in their favor within a few months, so they approved the dye exports. That calculation was wrong, but it fits the framework Grinberg has developed.

States: Usually wrong about the length of wars

“Trade in War” has received praise from other scholars in the field. Michael Mastanduno of Dartmouth College has said the book “is a masterful contribution to our understanding of how states manage trade-offs across economics and security in foreign policy.”

For her part, Grinberg notes that her work holds multiple implications for international relations — one being that trade relationships do not prevent hostilities from unfolding, as some have theorized.

“We can’t expect even strong trade relations to deter a conflict,” Grinberg says. “On the other hand, when we learn our assumptions about the world are not necessarily correct, we can try to find different levers to deter war.”

Grinberg has also observed that states are not good, by any measure, at projecting how long they will be at war.

“States very infrequently get forecasts about the length of war right,” Grinberg says. That fact has formed the basis of a second, ongoing Grinberg book project.

“Now I’m studying why states go to war unprepared, why they think their wars are going to end quickly,” Grinberg says. “If people just read history, they will learn almost all of human history works against this assumption.”

At the same time, Grinberg thinks there is much more that scholars could learn specifically about trade and economic relations among warring countries — and hopes her book will spur additional work on the subject.

“I’m almost certain that I’ve only just begun to scratch the surface with this book,” she says. 

Our cells produce a variety of proteins, each with a specific role that, in many cases, means that they need to be in a particular part of the cell where that role is needed. One of the ways that cells ensure certain proteins end up in the right location at the right time is through localized translation, a process that ensures that proteins are made — or translated — close to where they will be needed. MIT professor of biology and Whitehead Institute for Biomedical Research member Jonathan Weissman and colleagues have studied localized translation in order to understand how it affects cell functions and allows cells to quickly respond to changing conditions.

Now, Weissman, who is also a Howard Hughes Medical Institute Investigator, and postdoc in his lab Jingchuan Luo have expanded our knowledge of localized translation at mitochondria, structures that generate energy for the cell. In an open-access paper published today in Cell, they share a new tool, LOCL-TL, for studying localized translation in close detail, and describe the discoveries it enabled about two classes of proteins that are locally translated at mitochondria.

The importance of localized translation at mitochondria relates to their unusual origin. Mitochondria were once bacteria that lived within our ancestors’ cells. Over time, the bacteria lost their autonomy and became part of the larger cells, which included migrating most of their genes into the larger cell’s genome in the nucleus. Cells evolved processes to ensure that proteins needed by mitochondria that are encoded in genes in the larger cell’s genome get transported to the mitochondria. Mitochondria retain a few genes in their own genome, so production of proteins from the mitochondrial genome and that of the larger cell’s genome must be coordinated to avoid mismatched production of mitochondrial parts. Localized translation may help cells to manage the interplay between mitochondrial and nuclear protein production — among other purposes.

How to detect local protein production

For a protein to be made, genetic code stored in DNA is read into RNA, and then the RNA is read or translated by a ribosome, a cellular machine that builds a protein according to the RNA code. Weissman’s lab previously developed a method to study localized translation by tagging ribosomes near a structure of interest, and then capturing the tagged ribosomes in action and observing the proteins they are making. This approach, called proximity-specific ribosome profiling, allows researchers to see what proteins are being made where in the cell. The challenge that Luo faced was how to tweak this method to capture only ribosomes at work near mitochondria.

Ribosomes work quickly, so a ribosome that gets tagged while making a protein at the mitochondria can move on to making other proteins elsewhere in the cell in a matter of minutes. The only way researchers can guarantee that the ribosomes they capture are still working on proteins made near the mitochondria is if the experiment happens very quickly.

Weissman and colleagues had previously solved this time sensitivity problem in yeast cells with a ribosome-tagging tool called BirA that is activated by the presence of the molecule biotin. BirA is fused to the cellular structure of interest, and tags ribosomes it can touch — but only once activated. Researchers keep the cell depleted of biotin until they are ready to capture the ribosomes, to limit the time when tagging occurs. However, this approach does not work with mitochondria in mammalian cells because they need biotin to function normally, so it cannot be depleted.

Luo and Weissman adapted the existing tool to respond to blue light instead of biotin. The new tool, LOV-BirA, is fused to the mitochondrion’s outer membrane. Cells are kept in the dark until the researchers are ready. Then they expose the cells to blue light, activating LOV-BirA to tag ribosomes. They give it a few minutes and then quickly extract the ribosomes. This approach proved very accurate at capturing only ribosomes working at mitochondria.

The researchers then used a method originally developed by the Weissman lab to extract the sections of RNA inside of the ribosomes. This allows them to see exactly how far along in the process of making a protein the ribosome is when captured, which can reveal whether the entire protein is made at the mitochondria, or whether it is partly produced elsewhere and only gets completed at the mitochondria.

“One advantage of our tool is the granularity it provides,” Luo says. “Being able to see what section of the protein is locally translated helps us understand more about how localized translation is regulated, which can then allow us to understand its dysregulation in disease and to control localized translation in future studies.”

Two protein groups are made at mitochondria

Using these approaches, the researchers found that about 20 percent of the genes needed in mitochondria that are located in the main cellular genome are locally translated at mitochondria. These proteins can be divided into two distinct groups with different evolutionary histories and mechanisms for localized translation.

One group consists of relatively long proteins, each containing more than 400 amino acids or protein building blocks. These proteins tend to be of bacterial origin — present in the ancestor of mitochondria — and they are locally translated in both mammalian and yeast cells, suggesting that their localized translation has been maintained through a long evolutionary history.

Like many mitochondrial proteins encoded in the nucleus, these proteins contain a mitochondrial targeting sequence (MTS), a ZIP code that tells the cell where to bring them. The researchers discovered that most proteins containing an MTS also contain a nearby inhibitory sequence that prevents transportation until they are done being made. This group of locally translated proteins lacks the inhibitory sequence, so they are brought to the mitochondria during their production.

Production of these longer proteins begins anywhere in the cell, and then after approximately the first 250 amino acids are made, they get transported to the mitochondria. While the rest of the protein gets made, it is simultaneously fed into a channel that brings it inside the mitochondrion. This ties up the channel for a long time, limiting import of other proteins, so cells can only afford to do this simultaneous production and import for select proteins. The researchers hypothesize that these bacterial-origin proteins are given priority as an ancient mechanism to ensure that they are accurately produced and placed within mitochondria.

The second locally translated group consists of short proteins, each less than 200 amino acids long. These proteins are more recently evolved, and correspondingly, the researchers found that the mechanism for their localized translation is not shared by yeast. Their mitochondrial recruitment happens at the RNA level. Two sequences within regulatory sections of each RNA molecule that do not encode the final protein instead code for the cell’s machinery to recruit the RNAs to the mitochondria.

The researchers searched for molecules that might be involved in this recruitment, and identified the RNA binding protein AKAP1, which exists at mitochondria. When they eliminated AKAP1, the short proteins were translated indiscriminately around the cell. This provided an opportunity to learn more about the effects of localized translation, by seeing what happens in its absence. When the short proteins were not locally translated, this led to the loss of various mitochondrial proteins, including those involved in oxidative phosphorylation, our cells’ main energy generation pathway.

In future research, Weissman and Luo will delve deeper into how localized translation affects mitochondrial function and dysfunction in disease. The researchers also intend to use LOCL-TL to study localized translation in other cellular processes, including in relation to embryonic development, neural plasticity, and disease.

“This approach should be broadly applicable to different cellular structures and cell types, providing many opportunities to understand how localized translation contributes to biological processes,” Weissman says. “We’re particularly interested in what we can learn about the roles it may play in diseases including neurodegeneration, cardiovascular diseases, and cancers.”