Should I use AI to help draft my science job application?

In the penultimate episode of this six-part podcast series about hiring and getting hired in science, Julie Gould investigates how artificial intelligence (AI) is being used by recruiters to draft job ads, process applications and shortlist candidates. She also asks how recruiters feel about jobseekers using it in their applications, and whether or not they can even tell.

Jen Heemstra, a chemistry researcher and lab leader at Washington University in St. Louis, warns of a mismatch when a candidate submits a thoughtful and reflective application, but these qualities aren’t evident at interview. Fatimah Williams, an executive careers coach at Professional Pathways, based in Pittsburgh, Pennsylvania, recommends using it as a “thinking partner” by giving it appropriate prompts to help with documentation and identify career goals. Holly Prescott, a careers transition specialist based in Birmingham, UK, suggests that candidates who are looking to move, say, from academia to industry, could use AI to explain jargon in a job ad.


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I had to fight to stay in science. Perseverance should be valued

From ScienceMag:

When I interviewed for my current tenure-track job, I had a stellar training background and solid publications over my 20-year career. But I was unemployed. I didn’t mention that fact, but my CV had other gaps shaped by events beyond my control: shifting politics, economic crises, a mentor relationship that turned bad, and COVID-19. I had stayed on the academic path—if only barely—through sheer determination. The interviewers were friendly and I felt good about my performance, but I wasn’t expecting the offer I received a month later. To my surprise, I later learned the committee had valued a factor rarely considered in an academic world obsessed with publications and impact factors: my resilience.

Growing up in Puerto Rico prepared me well for life’s challenges. I witnessed my parents working hard to provide for our family, despite the ongoing economic turmoil that plagued the island. My mother, an elementary school teacher, taught me to believe in myself and offered unwavering support. The rigors of graduate school and the responsibility of becoming a father at a young age also helped build my resilience—which has turned out to be the defining feature of my career.

The first test came in 2004, when I was a graduate student in a well-funded lab, conducting research I was passionate about—until suddenly, Congress slashed the National Institutes of Health’s (NIH’s) budget. Our lab had to scale back, and I needed to put in a lot more hours to graduate before my adviser’s grant dried up. Some days, I didn’t see my 4-year-old daughter at all because I got home long after her bedtime.

My wife at the time was in school as well, and my income supported our family. But as I looked for a postdoctoral position in the midst of the NIH budget crunch, most labs told me they had no funds to take on a new trainee. With persistence, I secured a postdoc at the Neurosciences Institute, a place fueled primarily by private donations. For a while, things looked stable.

Then came the 2008 recession. The private donations dried up. Staff were laid off, and several prominent investigators left. Morale plummeted. The writing was on the wall: I had to leave.

Job hunting in 2008 was brutal. I sent out applications, knowing my family depended on me, but opportunities were scarce. Finally, a last-minute interview at a conference led to an offer for a lab in France. It meant uprooting my family and stepping away from the research path I had carefully built, but it was the only way forward. So, we packed up our lives and moved. For a while, things were good, but several years into my project, my relationship with my adviser soured, and I had to leave.

I eventually got a job as a staff scientist at the University of Chicago. I had to prioritize my new lab’s research focus and could only work on my own research in spare moments, but by the end of 2018 my career was gaining traction once again. But the stress took a huge toll on my personal life, and my wife and I split up. Then COVID-19 hit. Labs shut down, slowing research and my own project. When I submitted a grant for review, it was rejected for what the reviewers said was a lack of relevant publications. I found myself once again facing unemployment.

When I finally landed my current position in 2021 it was a huge relief. A couple years later, I learned that one of the committee members had followed a path similar to mine and saw my commitment and perseverance as key factors in my favor.

But not everyone will have such an advocate. I believe we should be asking candidates for academic jobs what challenges they’ve overcome and how they have persevered. Applicants with CVs featuring high-profile labs and prestigious publications tend to be the ones who get jobs. But others of us have taken a slower, bumpier path, and I believe we deserve a closer look. We’re the ones with the resilience to get through tough times.

Right now, I’m anxious about our nation and the future of biomedical research in the United States, but I’m not worrying for myself. If my career has taught me anything, it’s that resilience alone doesn’t guarantee survival. But sometimes, it gives you just enough time to catch the next opportunity before the door closes.

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Salary negotiations: a guide for scientists

Three researchers and a career coach discuss if there as much scope to negotiate salaries in academia as there is in industry.

In either setting, they say, negotiation should not be a battleground. Hiring managers should not take advantage of a beloved future colleague who may have zero experience of negotiating anything, says David Perlmutter, a communications researcher at Texas Tech University in Lubbock, who writes about hiring and salary negotiations.

Nor is it like a car sale, adds Jen Heemstra, a chemistry researcher at Washington University in St. Louis, after which the two sides part company forever. “In an academic negotiation if there’s a winner and a loser, then you’ve really both lost,” she says.

Perlmutter advises early career researchers to build confidence by practicing salary negotiation with a colleague before doing it for real. “No matter what’s going on, try to be respectful, friendly and positive,” he says.

Margot Smit, a plant molecular biologist at Tübingen University, Germany, and Lauren Celano, a careers coach who co-founded Propel Careers, based in Boston, Massachusetts, in 2009, lists non-pay elements to work into a negotiation.

This is the fourth episode in a six-part podcast series about hiring in science.


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As a Ph.D. student with bipolar disorder, I’ve found strength in a perceived weakness

From ScienceMag:

I remember the moment my mentor in medical school told me she wouldn’t be writing me a letter of recommendation for my Ph.D. application—my planned next step. “You’re too sensitive,” she said. As if something at the core of who I was—something I couldn’t change—disqualified me from the future I had worked so hard for. At the time, I was devastated. Honestly, 4 years later, I still am. It felt like a punch to the gut, delivered by someone I respected and trusted. That moment planted a doubt I’ve carried ever since. But it also ignited a spark that led me to realize what others see as a weakness is ultimately a strength, albeit one that comes with daily challenges.

After six intense years of medical school, my mental health had slowly deteriorated without anyone, including myself, noticing. Right after graduating, I jumped into a Ph.D. program abroad, intending to pursue a career that would combine medicine and research, satisfying both my altruistic side and my fascination with human physiology and disease. That period was full of firsts: first time on a plane, first time living away from my family and boyfriend, first time stepping into the unknown of academic research.

Things quickly unraveled. I was anxious, constantly distracted, and overwhelmed by tasks others seemed to do with ease—such as pipetting, or handling animals during experiments. I’d wake up in the middle of the night convinced I’d left the cell incubator open, even though I’d checked it several times. The stress built up until I reached a breaking point. I switched labs, effectively starting over, and finally began to take my mental health seriously. In the second year of my Ph.D., I saw a psychiatrist and received a diagnosis: bipolar II disorder.

Living with bipolar disorder as a Ph.D. student means sensitivity isn’t optional—it’s part of how I move through the world. Science is meant to be thrilling, but for me, every new experiment brought waves of stress and doubt. I’d dive deep into the research, trying to eliminate every unknown—sometimes so much that I’d miss deadlines. People saw this as procrastination, and I kept hearing the same message: “Toughen up.” So, I learned to hide my struggles, even if it meant pretending I was fine when I wasn’t. But once I began treatment, I began to feel I was finding some stability for the first time.

Then, in October 2023, conflict came to Israel, where I was studying. With air raid sirens and drones overhead, I made the hard decision to return home to Serbia. But coming back brought its own pain. As a queer person, I didn’t feel safe or seen in my home country. My newfound stability began to unravel, and I knew I couldn’t stay. I left again, this time for Denmark—to start my Ph.D. anew in a place where I could live more freely.

Since arriving here, I’ve figured out ways to make this journey more sustainable, through trial and error. At the suggestion of a friend, I take pictures and record videos of my experiments, so I don’t have to stress about taking perfect notes. I’ve learned to accept criticism without interpreting it as a personal attack. I take my medication and reach out when I need help. Most of all, I speak up for myself, letting my supervisors know which situations will likely be a challenge for me.

My mentor’s comment about sensitivity still echoes in my mind when things get hard. Sometimes I wonder whether she was right. But with time I’ve come to see my sensitivity as something other than a weakness. It’s the source of the empathy that compelled me to become a physician in the first place, and it’s what pushes me to do research and learn more about the patients I will one day treat. My own experience with a chronic condition has convinced me that patients need doctors who can combine scientific precision with compassionate practice.

The rigid, high-pressure environment of academia isn’t easy for people like me. But I’m stronger for having learned how to protect my well-being while pursuing my passion. My mental health struggles have forced me to check in with myself, respect my limits, and make space for emotion in an environment that treats it as a liability.

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How to delight your future boss at a science job interview

Should you tailor your job interview style based on the age, gender and cultural background of the person asking the questions?

Margot Smit and Dietmar Hutmacher compare their approaches to hiring and how generational influences might shape how they respond to candidates.

Smit, a plant molecular biologist who became a group leader at Tübingen University Germany, in late 2023, and Hutmacher, a regenerative medicine researcher at Queensland University of Technology in Brisbane, Australia, list what they look for at interview. Coming from different generations, one with a background in industry, do they differ?

This is the third episode in a six-part podcast series about hiring in science.


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As a laid off postdoc, I turned to a side hustle—and found a new career

From ScienceMag:

We came to the end of our regular weekly lab meeting and were about to leave when our principal investigator (PI) announced he had something important to share. “I’m sorry team. We’ve run out of funds, and I have to let you all go.” Looking around the room I saw a mix of confusion and shock on the faces of the other lab members—another postdoc, a lab technician, and a handful of graduate students. As it began to dawn on me that I was being laid off from my postdoc position, I tried not to panic. I told myself that with my Ph.D. and two bachelor’s degrees, surely it wouldn’t be too difficult to find a job. My job search didn’t pan out the way I’d hoped. But luckily, I had an alternate income stream to fall back on—one I’d cultivated during my postdoc.

Three years earlier, I had finished my Ph.D. and moved with my family across the country to start a research position in the PI’s lab. Becoming a postdoc wasn’t exactly what I wanted to do. But I was an international scholar on a visa who didn’t have many career choices open to me, and it felt like a safe choice that would help provide for my family. I also imagined it would help me with the goal I had at the time: to be a teaching professor.

Soon after arriving, though, I realized that although my postdoc salary was twice what I earned as a Ph.D. student, it wasn’t enough to cover rent, food, gas, and other basic expenses in pricey California. I thought I might need to take a second job in retail to keep up. But after searching for ideas online, I discovered freelance writing as an option, which I could do from home at night after my son went to bed.

I found my first gig while browsing Craigslist one day. A local web designer needed someone to write social media and blog content to help her advertise her business. Within a few months, I found other clients and grew this side hustle to about $1200 a month. I enjoyed the work, and it was a huge help with the household budget.

After my postdoc ended, I kept writing. But my goal was to secure a full-time position to support my family, and so I spent most of my time searching for and applying for jobs. I submitted applications for scores of positions I thought I was qualified for inside and outside academia. Most resulted in rejections or no response. About 6 months into the search, I began to feel defeated. Was this what I got for working so hard in grad school? To have nobody even acknowledge my applications? I felt like a complete failure—that with all this education, I was unable to secure an offer for a full-time position.

That’s when I decided to stop applying for jobs and focus on growing my writing business, an option that was open to me because, by then, I was a permanent resident and didn’t need a job to maintain my immigration status. My writing work up to that point was mostly focused on projects that didn’t leverage my scientific training—blog posts for finance websites, sales emails for dermatology practices, for instance. But I thought that perhaps I could find opportunities in science writing specifically.

So, I began to share my thoughts on subjects in the sciences and samples of my writing on LinkedIn. Shortly after I started doing this, health and science companies started to reach out, wanting to work with me. For the first time in more than a year, opportunities were coming to me, a welcome change from the fruitless searching I had been doing. I was able to build my portfolio and gain confidence in my new field, which eventually led me to dip my toes into the job application waters once again. I was ecstatic when, finally, I received an offer for a full-time science writer role at a life science marketing agency.

When I started my journey as a writer, I viewed it simply as a side gig. But it eventually grew into a career that brings me joy. It kept me afloat when I was coping with the grief and loss of purpose I felt as an unemployed Ph.D. graduate. It also showed me that there’s room to think creatively and build new opportunities for yourself. Sometimes good can come from a path redirected.

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I got sick during my Ph.D.—but couldn’t afford treatment. Grad students need better support

From ScienceMag:

I stepped out of the car, travel backpack in hand, returning from winter break rested and rejuvenated by seeing friends. I was feeling optimistic about my health, too. A recent appointment with an ear specialist had offered some hope that doctors would be able to diagnose the cause of the dizziness that had plagued me since nearly the beginning of my Ph.D. and finally treat it effectively. But what I found in my mailbox made my heart race: a stack of medical bills, the latest additions to the pile of unpaid invoices already sitting on my dresser.

When I first arrived in the United States from Brazil to pursue my Ph.D., I felt nothing could stand in my way. But a few months into my studies, a persistent dizziness crept in. Walking to campus, reading papers, and even grocery shopping left me unsteady. I rushed to the university clinic, where the doctor said I had vertigo and recommended rehab. But I had heard countless stories of graduate students paying thousands of dollars out of pocket for treatment of various ailments, and I was hesitant to rack up bills that would certainly outpace my meager stipend. Instead, I turned to YouTube, where I found at-home exercises. For weeks, every night before bed, I moved my head from side to side, then up and down. Eventually, the symptoms disappeared. I thought I was in the clear.

Two years later, the dizziness returned. This time, the exercises failed, and over-the-counter medications offered little relief. With my worsening symptoms making it difficult to keep up with my Ph.D. work, I didn’t see any alternative but to seek medical treatment despite my worries about the cost. I went back to the doctor, who referred me to an ear specialist. I called to book an appointment, only to be told the wait was 4 months. Far from my family, with no clear treatment plan, I felt helpless and frustrated.

Shortly afterward, I traveled out of state for winter break in a larger city, where I secured a last-minute appointment with an ear specialist. After being referred to one medical center, then another, I was given a steroid shot and orders for a brain MRI and more ear tests. No final diagnosis yet, but a clear message: The dizziness would likely return until I found the cause. Still, the steroids brought my first moment of relief in months.

Back home, after collecting the pile of medical bills from my mailbox, I contacted the university’s health insurance office for a cost estimate for the recommended tests. Even with my student insurance, the out-of-pocket amount was far beyond what I could afford. Then came another blow: The referrals from the out-of-state doctors weren’t valid locally. I would still need to wait for the in-state ear specialist appointment. There I was, facing the imminent return of my symptoms, medical bills piling up, and unable to schedule or afford the tests I needed. My stress levels soared.

In the weeks that followed, I began to experience heart palpitations, shortness of breath, and insomnia. After I wore a doctor-ordered heart monitor for 2 days, the diagnosis came back as sinus tachycardia—in other words, stress-induced anxiety. My body was sounding an alarm I could no longer ignore: This situation was unsustainable.

That was 3 months ago. Since then, I finally had my in-state appointment; with it came new referrals and, of course, more bills. This time, however, I have found a stopgap solution: I travel to Brazil yearly to conduct fieldwork, and during those trips I also attend medical checkups. This year, with multiple U.S. medical referrals in hand, I was able to schedule tests that will finally get me closer to a diagnosis. It’s unbelievable to think that, even with travel costs, care can be so much cheaper or even free through Brazil’s public and universal health care system. I know I’m lucky to have this option. Many other students face similar challenges without it.

Medical expenses can be overwhelming, especially for international students whose visas often restrict us from earning income beyond our stipends. No student should have to choose between financial survival and medical care. No student should lose valuable time and mental energy over something as fundamental as health care. Universities must step up and provide more comprehensive health coverage for their students so we can focus on our work.

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Seeking a job in science? How hiring practices across industry and academia compare

Julie Gould compares hiring practices across industry and academia by seeking perspectives from Tina Persson, an organic chemist-turned-careers coach based in Malmö, Sweden, and Lauren Celano, a recruitment consultant who founded Propel Careers, based in Boston, Massachusetts, in 2009.

Persson, whose coaching business is called passage2pro, tells Gould why it typically takes longer to hire scientists in academia. Margot Smit, a plant molecular biologist who now recruits scientists for her lab at Tübingen University in Germany, reflects on her own experiences as an academic jobseeker in 2022. It involved panel interviews, lab tours, team dinners, and, in one case, a symposium where all candidates gave a talk. Now, as someone who recruits scientists to her lab, she involves junior colleagues in hiring decisions.

Jen Heemstra tells a similar tale. Her search for a department chair position in 2022 meant moving not only herself but also her entire chemistry research group to Washington University in St. Louis. She explains how she updated her colleagues and addressed their questions and concerns about the impending move.

Finally, Rachel Howard describes how she hopes to make the process quicker and easier for hiring managers at the Francis Crick Institute in London, where she is head of talent acquisition.


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Digesting scientific papers is hard. Can AI help?

From ScienceMag:

Experimental Error logo
Experimental Error is a column about the quirky, comical, and sometimes bizarre world of scientific training and careers, written by scientist and comedian Adam Ruben. Barmaleeva/Shutterstock, adapted by C. Aycock/Science

One of the most important skills that scientists need—besides patience with failed experiments and the restraint to not initiate Thanksgiving dinner conversations with That One Cousin—is the ability to read and digest large amounts of information from scientific papers. I have many memories, from college to the present, of knowing that my next several hours will be spent sitting with a fat stack of journal articles, reading, absorbing, thinking, falling asleep for a bit, making a list of household chores in the margin, googling dinner recipes, and reading some more.

Most scientists do this, and we do it often. We want to learn the latest developments in our fields, or lead a journal club, or generally not sound like ignorant ding-dongs when encountering collaborators at conferences. At some point during our training, we come to understand and accept that the paradigm of “a teacher tells you all about it” is unsustainable, and we learn to teach ourselves. In fact, learning science by reading papers can feel extremely intellectually rewarding, especially when the “aha” moments lead to “what if” moments, and you not only understand something new, but you learn to think beyond what’s in the paper to the next series of logical questions.

It can also be very, very boring.

As much as we’d like to pretend that reading scientific papers is always an unmitigated delight, nope. This is why scientists will sometimes say they’ve read a paper when in reality they’ve simply read the abstract and skimmed the figures. Or they’ll cite a paper in their own writing with only a 90% certainty, based on the title, that it’s relevant. And although the abstract and title include useful information, what do you do when you want to read all of the information in dozens or hundreds of papers? Is there a shortcut between the page and your brain?

Now, thanks to artificial intelligence (AI), we can triumphantly announce that the answer is, “Sort of!”

One of AI’s strengths, allegedly, is the ability to instantly distill gigantic amounts of information into a little bitty package of highlights, perfect for perusing while sipping a nice espresso. Any time I search the internet for something now, I get a cute little AI-generated summary telling me that, whereas most customers found this cat litter to be a good value for the price, others found its ability to reliably clump somewhat lacking.

But you know this. Unless you’ve spent the past couple years imprisoned by a vengeful sentient robot, you’ve seen how AI has snuck into many of the places that used to require human cognition. You’ve probably also heard of AI’s “hallucinations,” nonsensical responses delivered with complete confidence and self-assurance—which, if you’ve ever graded oral presentations delivered by undergraduates, may not seem too unusual.

So, where does AI land when it comes to something higher stakes than cat litter commerce? Accurate AI-generated summaries of scientific papers could potentially save researchers hours of poring through papers. But if the summaries omit important bits or reach conclusions unsupported by the original papers, they could waste a lot of time and effort by pointing you in the wrong direction.

The latter is exactly what seems to happen, according to a study published in Royal Society Open Science last month. The researchers prompted 10 different AI engines to summarize the findings in 200 abstracts and 100 papers, then searched the summaries for certain types of potentially misleading generalizations. For example, converting a paper’s finding to the present tense or extrapolating a guiding action—such as changing “patients benefitted from therapy” to “patients benefit from therapy” or “therapy is recommended for patients”—transforms a verifiable trial result to what sounds like a forward-looking prescription or endorsement. In general, the summaries omitted many key details—which, one may think, comes with the territory of any summary. But they also seemed to be tuned to present conclusions as applying more broadly than what the study warranted—a flaw that the machines exhibited five times more frequently than human-generated summaries. Strangely, specifically asking the AI to be more accurate only made it less accurate, the same way that telling my kids to go to bed seems to inspire them to start a bag of microwave popcorn.

Something feels rewarding about a rigorous analysis of AI’s flaws. The conclusion that you can’t beat the good old humans bodes well for the future usefulness of the good old humans.

It reminded me, though, of the last time scientists were up in arms about ready-made summaries. Twenty years ago, when I was in grad school, I remember endless hand wringing about overreliance on a site that would surely herald the downfall of scientific research: Wikipedia.

Many saw this new site as too easy to be valid, too useful to be authentic. My classmate once showed me how he edited the Wikipedia entry for “awesome” to include his own name. Surely, we thought, a repository of human knowledge prone to this kind of adulteration can’t be trusted with anything important.

We were wrong. It quickly grew into a one-stop shop for easy-to-digest synopses of scientific topics, and many of us use it daily—with the ingrained skepticism that comes with the use of any crowdsourced repository of knowledge. In fact, this year marks the 20th anniversary of the famous Nature paper comparing Wikipedia head-to-head against the Encyclopædia Britannica and concluding—to much controversy—that the two had nearly equivalent accuracy. (This led to a scathing response from Encyclopædia Britannica questioning the study’s methodology, and let me tell you, it was a sizzling time indeed in the world of encyclopedia fights.)

Maybe the same will happen with AI. We should be careful trusting the summaries it generates of scientific literature, and we should probably go read (or at least skim) the original papers before planning our next research steps around them or citing them in our own work. But the same study a few years from now might have a different conclusion. And we all might have a better developed sense, at that time, of how to prompt AI to get the accurate results we want.

AI-generated summary of this article: A human scientist who purchases cat litter reports that AI is amazing and that we should all subjugate ourselves to its mastery.

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Trump’s ‘fear factor’: Scientists go silent as funding cuts escalate

From ScienceMag:

In February, shortly after U.S. President Donald Trump was inaugurated, Rebekah Tromble launched a program to advise scientists and journalists targeted for intimidation and harassment. But she announced it quietly, fearing the very kind of attacks the initiative was meant to counter. “We were truly concerned that trying to draw too much attention to our work would jeopardize our funding,” says the George Washington University social scientist. “It’s a bit counterintuitive for a program that is actually trying to reach and help people.”

Tromble’s paradoxical situation is emblematic of the fear and self-censorship coursing through the nation’s scientific establishment today. As the Trump administration fires swaths of government researchers, cancels scientific grants, and targets leading universities with punishing funding freezes, scientists who might once have welcomed public attention for their work or spoken up on issues affecting their field are instead opting for silence.

“The lived experience of a scientist right now is terrifying,” said one prominent health researcher who asked not to be named out of concern their funding would be targeted. “We love getting our research in The New York Times and Science. You can imagine how much fear is involved if we are saying ‘no.’”

Interviews with science advocacy groups and scientists working in a range of disciplines confirm that what Jen Jones, director of the Center for Science and Democracy at the Union of Concerned Scientists, calls “the fear factor” is rampant. Scientists “have been made to feel like they cannot open their mouth for fear of losing whatever they have left,” she says.

Jones sees it as an escalation of tactics already on display before Trump returned to the White House. She points to billionaire Elon Musk, enlisted by Trump to lead a campaign to shrink federal spending, who used his massive following on his social media platform, X, to target midlevel government officials, including scientists who would normally go unnoticed. “Trump and Musk have spent years perfecting their campaign of fear and intimidation,” she says. Well before the election, Tromble conceived her program in response to that mounting threat.

Now, the rhetoric is coupled with control of the vast levers of government, which the new administration has swiftly used to cut funding for specific research projects and institutions. Since Trump’s inauguration, the two premier federal science funding agencies, the National Science Foundation (NSF) and the National Institutes of Health (NIH), have together canceled more than 2000 grants totaling more than $1.5 billion.

White House spokesperson Kush Desai told Science in a statement that “the Trump administration is spending its first few months reviewing the previous administration’s projects, identifying waste, and realigning our research spending to match the American people’s priorities and continue our innovative dominance.” NSF declined to answer questions about whether agency officials have heard from scientists afraid of retribution, or whether they were concerned such fears might affect open discussions about research. NIH did not respond to a request for comment.

Although fields such as climate science and public health faced political attacks before this year, U.S. scientists of many stripes now feel at heightened risk, says Janice Lachance, CEO of the American Geophysical Union (AGU), which has nearly 60,000 members working in earth and space science. Some researchers have asked the organization to scrub their names from its public list of committee volunteers because of concern that being identified for their work might make them vulnerable to retribution. Others have demurred when AGU officials asked to share their stories of funding cuts with congressional staff trying to document impacts on active research projects.

Even scientists accustomed to controversy and the public spotlight acknowledge the fear factor. The threats are “so vast and capricious,” says Gregg Gonsalves, a Yale University epidemiologist and veteran of political struggles around AIDS research going back to the 1980s. “As I’m sitting here talking to you, I realize it’s not without its risks.”

Gonsalves was one of nearly 900 Yale faculty who signed an April letter calling on the university to resist any threats to academic freedom. He says many scientists worry their institutions won’t support them if they speak out. “They are very worried about whether their colleagues, universities, institutions have their back.” Lachance agrees, noting, “Scientists are seeing some major institutions—some very powerful private sector entities—proceeding with caution.”

Several senior scientists who asked not to be named said that even if they could weather any damage, they keep quiet because they worry about the impact of a lost grant on Ph.D. students, laboratory staff, and others. “It’s all the people who depend on you,” said a health science professor who asked not to be named.

There are signs that scientists are starting to feel emboldened. Gonsalves points to Harvard University’s resistance to demands from the Trump administration as a watershed moment. In April, Harvard President Alan Garber sent a letter to administration officials vigorously rejecting a list of demands for federal oversight of university operations. Harvard has since sued to overturn a federal funding freeze on more than $2.2 billion in research grants imposed by the administration—which in turn cut off all future grant funding to the university.

At 62, Gonsalves says he has concluded that any price he pays for speaking out is outweighed by the toll the current administration is taking on the future of scientists and research in the United States. “It’s the next generation we have to protect and care about,” he says. “That’s what keeps me going.”

Scientists might also be realizing that there’s little safety in silence, says Kate Starbird, a University of Washington computer scientist who for years has been targeted by right-wing activists and some Republican members of Congress for her work on digital misinformation. At a recent conference on computer-human interaction hosted by the Association for Computing Machinery, she met scientists whose NSF grants had been canceled even though their research had no obvious connection to conservative hot-button issues. “I just don’t know [that] there’s a lot of wisdom in keeping our heads down anymore,” says Starbird, who has been outspoken for years. “I never had the option of keeping my head down.”

Tromble decided to be more vocal as well after NSF canceled funding for the final year of a 3-year, $5 million grant to study online harassment of experts and design a system to help people who are targeted. “The big risk for us was losing the funding, and now we’ve lost the funding,” Tromble says of her earlier decision to keep a low profile. She is now discussing her research more openly and working to raise philanthropic money to help maintain Expert Voices Together, the program launched in February.

Starbird hopes others will feel emboldened. She fears the scientific community is in danger of missing the chance to shape public perceptions about what the new administration is doing to U.S. research—and she’s taking lessons from her own experience. After the 2020 presidential election, she and fellow researchers were accused of conspiring to censor right-wing claims that the election was stolen from Trump. At first, they decided to ignore the false charges—a missed chance to push back against them before they metastasized, she says. Four years later, she says, “I think we are at risk of missing the golden window.”

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