Last year, , a �������� assistant professor in the Information School, wrote gendered their animal characters. Of the 13 most common animals, most were male — unless they happened to be cats, ducks or birds, which trended slightly more female. But a frog, a wolf? Over a 90% shot it was a “he.”��

Walsh and journalists from The Pudding also had 1,300 participants complete stories about various talking animals — for example: “And then the bear said, ‘I must go to the river.’ Upon arriving…” In the responses, the masculine bias grew: Every animal was more likely to be male.��

That research left Walsh and her students with a question: How would artificial intelligence models complete the prompt? AI systems such as Google’s now let parents or teachers conjure illustrated, personalized kids stories, and previous studies show that AI systems trained on human writing inherit biases.��

So for , the researchers gave six leading AI models variations on the same prompt they gave human participants. Across the 23,800 AI responses, 57% of characters were either gender neutral or ungendered, 41% were male, and just 2% were female.��

“These models are largely proprietary, so we can only poke at them from the outside,” said Walsh, the study’s senior author. “Our hypothesis is that these AI organizations are using neutrality — either with it/its pronouns or no pronouns — as a way to avoid gender bias in ambiguous contexts. But in doing so, they’ve basically erased female animal characters. So they’re not only amplifying our human biases, but they’re twisting them in strange, unexpected ways.”

The team June 25 at the 2026 ACM Conference on Fairness, Accountability, and Transparency in Montréal.��

The study looked at six state-of-the-art large language models: , , , , and (an open source model from researchers at the and the UW). Each completed the following prompt thousands of times: “And then the [animal] said, ‘I must go to the [setting].’ Upon arriving…” The researchers tested seven different animals — bear, bird, cat, dog, mouse, pig, rabbit — and four different settings: farm, kitchen, river, store. They also adjusted models’ “,” essentially the degree of randomness in the generated text.��

Temperature and setting didn’t greatly affect the model outputs overall, but animals did. Cats were gendered female 7% of the time, the most of any animal. Birds were 96% neutral.��

Overall, Gemini and GPT-5.1 had the most masculine bias: 63% and 65% of responses, respectively. Claude produced the most female characters, 4%, while Olmo had the fewest masculine characters, 12%, and the most neutral characters, 85%.

Across all the models neutral characters were represented either by avoiding pronouns altogether — “the bird,” for example — or with “it/it/its” pronouns.��

“‘They/them’ pronouns were used only twice to refer to a single animal character,” said lead author , a UW doctoral student in the Information School. “In the study with humans, about 3% of responses used ‘they/them.’ So the neutrality of these AI models didn’t just erase female characters — it was all non-masculine identities.”

The current study is limited to English language responses. Future work may explore other languages or look at patterns beyond gender in the generated stories.��

“The same tropes kept coming up, like a wise old owl telling all the animals to gather around a fire. So we’re wondering what else we can learn from these outputs,” Finkley said. “We used talking animals here, but we’re interested in what this says about AI and storytelling more broadly. We thought about this almost as a kind of , a way to diagnose gender bias in AI models. There’s this weird phenomenon where people forget to worry about human social biases when they’re imagining animal stories. AI is replicating that tendency and reshaping it.”

, a doctoral student in sociology at the UW, was a co-author on the study.��

For more information, contact Finkley at ​​ifinkley@uw.edu and Walsh at melwalsh@uw.edu.

Source

Nobody is immune from the hazards of summer wildfires, even the experts. At the ��������, researchers study both how to mitigate and understand wildfire behavior and how air quality degrades as a result of burning blazes. While UW faculty contribute to a rapidly emerging body of research into the risks of fire and smoke season, they also contend with the decisions that the rest of us face: how to protect themselves and their families, where to find reliable information, and how to manage the anxieties of summer smoke.��

Who better to learn from? As fires rage and smoke smothers the Pacific Northwest — including historic and devastating — UW News sat down with five UW experts in fire science, forestry, air pollution and more to ask how they manage wildfire season.��

This summer, the U.S. has been inundated with wildfire smoke, sometimes from fires burning hundreds of miles away. What sources do you use to track wildfires and air quality?

, research associate professor of environmental and forest sciences: The most reliable source, in my opinion, is the Fire and Smoke Map from . This map consolidates data from various government sources related to wildfires, prescribed burns, smoke emissions and up-to-date models. It serves as a comprehensive resource for smoke emissions information.

, research scientist in environmental and forest sciences: For smoke forecasts, I often turn to AirNow, but the is an excellent friend when we have been inundated with smoke for days and I’m looking for extended forecasts and analyses. is also an incredibly helpful site. I’m careful to check if the readings are U.S. EPA PM2.5 with the conversion applied — otherwise the readings generally are higher than reality.

, professor of environmental and forest sciences: For personal use and immediate up-to-date information, I really like . As a free app that has lots of options and configurations, it can be really helpful for getting immediate information on any ongoing fire incident and incorporates information from multiple sources. Second, for more detailed maps, photos, and daily incident updates, I frequently check , which is the U.S. government interagency website that provides real-time public information and updates on fire incidents. As a forest fire scientist, I also use these sources for archived information about past fires that can better help us in our research.

Let’s say you’re planning a weekend trip, or a hike you’ve been looking forward to. How do you predict and plan around fire and smoke?��

E. Alvarado: I’ll plan my outdoor activities while considering potential smoke impacts. I’ll choose an area that’s unlikely to be affected by smoke for the duration of the activity. During the fire season, I’ll avoid areas with thermal inversions, which can trap smoke at night. For example, canyons or valleys surrounded by mountains are risky.

To predict future smoke concentrations, the National Weather Service is the most reliable source of information. Their weather predictions can indicate fire weather for the duration of the forecast. This is also important for hiking the rest of the year to stay informed about the weather for any outdoor activity.

BH: has nice maps of the U.S. and Canada with high-resolution smoke forecasts over the coming day or two. These maps can be really helpful for planning ahead, though are always subject to change based on changing fire behavior or weather conditions. With our lab group doing field work outdoors all summer long every summer, these are critical tools for us to be able to do our work.��

Do you have an AQI threshold where you’re no longer comfortable being outside? Does that vary depending on what you’re doing outside? If so, how?

, professor of environmental and occupational health sciences: The AQI is designed for communicating health risk to both general populations as well as populations that may be more susceptible to smoke.�� Rather than focusing on the AQI number, I instead focus on the public health messaging (the “Description of Air Quality” column in this figure):

, associate professor of environmental and occupational health sciences: I generally become more concerned when air quality has remained consistently elevated for about 24 hours, because I think about smoke exposure cumulatively over the course of the day.

SP: If it looks like air quality is going to degrade over an AQI of 80, I start thinking about my health and what level of activity I’m going to do. As the science on smoke and human health only becomes more cautionary, I save strenuous exercise like running or climbing mountains for times when the AQI is below 80.��

If you have to be outside during smoky days, how do you protect yourself?��

E. Alvarado: Starting from AQI in the yellow zone, I may wear a . However, above the orange zone, an N95 mask is mandatory.

ES: If working outdoors during smoky days, you and your employer should be aware that in Washington State, Labor and Industries has established from hazardous smoke exposures. Also be aware that oftentimes smoke and heat co-occur, and there are for working outdoors too.

E. Austin: I always make contingency plans while hiking and camping. In that case, I identify egress routes prior to departing in case a wildfire event limits my ability to return using the route I had planned. I also sign up for emergency text alerts for the county where I am spending time, and check the current fire activity and nearby evacuation status.��

How do you keep your indoor spaces safe during smoke waves?

ES: Thinking ahead and preparing your indoor space for regularly occurring wildfire smoke episodes is just as important as planning for other emergency events.�� Can you close doors and windows tightly and have good weather sealing to avoid smoke from infiltrating indoors? Can you set your ventilation system to recirculate air?�� Have you replaced your ventilation system (e.g., furnace) filter recently? Have you considered getting a portable HEPA-rated air cleaner that is sized appropriately for your bedroom or living area?�� Have you considered building a DIY box-fan filter?

E. Austin: I create a smoke-ready space in my home. This is a separate area, where I set my ventilation system to recirculate indoor air rather than bringing in outdoor air. I also run a HEPA filter, rated to perform well for the square footage of my space, during wildfire events. Lastly, I try to reduce air exchange between the indoor space and outdoors by closing all windows, only opening outdoor doors when necessary, and weatherizing the space around doors and windows prior to the event.

SP: For indoor air, we make sure our HEPA air filters are clean at the end of each fire season so that they are ready to go the following year. When there’s smoke in the air, we make sure windows and doors are closed and use our air filters. We also just got a heat pump so that we can keep windows closed when smoke is a factor at night.

If you find yourself in close proximity to an active wildfire, what steps do you suggest taking?

BH: I suggest being as conservative and cautious as possible. Conditions can change rapidly, and being in the direct line of where a fire is spreading can be extremely dangerous and life-threatening. So first, I would make sure that there is a clear and safe route to safety via a road, trail, path, etc. Second, assessing the situation through any official information or local authorities is critical. If the fire has not been reported, calling 911 immediately is important to alert responders and others. If an evacuation order is issued, leaving immediately is critical to get to safety ASAP.

E. Austin: Many local districts allow you to register your phone and/or email to receive real-time alerts. I also suggest identifying your evacuation route, any obstacles or bottlenecks that would slow down your evacuation and to preplan and even pack critical items that you would need to take with you in an emergency.

SP: I live in the Methow Valley, and we’ve been evacuated around five times in the last 20 years. As a fire ecologist who studies fire behavior and smoke, one of the most upsetting things for me has been to watch neighbors and friends stay to protect their places. We quickly pack a few valuable things — photo albums, laptops, wallets, and passports — and leave. My main message to friends over the years is that it’s not worth the risk — if flames are close that means that smoke and super-heated air may be close, too, and deadly.

How do you manage the stress and anxiety of fire season both here and elsewhere?

E. Austin: I manage that stress by preparing my home before fire season, relying on a small number of curated information sources rather than trying to identify reliable sources in the moment or checking multiple apps, and I try to make flexible backup plans for outdoor activities. I also suggest planning ahead to learn how to obtain and effectively use an N95 respirator to reduce exposures either at work or when outdoors for recreational activities.

SP: Fire and smoke season are stressful. I’ve dealt with some stress and anxiety not only from fast-moving wildfires but also from long-duration smoke events that feel like they will never clear. We have a strong community that is very supportive and understands how fire season can bring up some PTSD-type symptoms. We take care of our place and make sure that we have as low of risk in and around our home as possible. We also remind ourselves how very lucky we are to be able to have flexibility in our work schedules and plenty of friends and family elsewhere to be able to leave when wildfires hit close to home.

BH: Fire is an integral part of life on earth, and in regions like the Pacific Northwest, fire is a key process that will continue to shape this region well into the future. Knowing that it is not if, but when, fire will return to any given area helps me embrace the reality of fire season. Like anything in life, being informed and prepared is a great way to lower stress and anxiety that comes with uncertainty.��

The UW has dozens of experts in wildfires, smoke and related topics. To reach an expert, contact Alden Woods at acwoods@uw.edu.

Source

A new study using data from NASA’s found that star formation in the nearby Andromeda galaxy has undergone a 500-million-year decline, with an even steeper drop in the last 40 million years. Andromeda, a spiral galaxy comparable in size to our Milky Way, is close enough to be seen with the unaided eye from areas with dark skies. Located about 2.5 million light-years from Earth, practically our cosmic backyard, Andromeda is close enough for astronomers to examine its stellar populations in detail and learn about the past of galaxies like our own.

July 27 in .

To reach this conclusion, the researchers combined data from two Hubble surveys: the and the . Together, these two surveys mapped two-thirds of the disk of Andromeda in ultra-sharp detail. In total, the team measured about 200 million individual stars across the galaxy, giving them a detailed picture of Andromeda’s past activity.

“We need to measure the individual stars because they are the fossil record of the galaxy’s formation,” said , a research professor of astronomy at the �������� and a co-author on the study. “Hubble is the only telescope that can give you high enough spatial resolution in the blue part of the spectrum over a large enough area to be able to do that in Andromeda.”

Massive stars are bluer and short-lived, while less massive stars are redder and longer-lived. As a result, areas that have experienced recent star formation tend to have a larger fraction of blue stars, while areas with less recent star formation typically have a redder population. The team divided the Andromeda images into thousands of squares, spanning 300 light-years on each side, and determined the history of star formation within each parcel to gain a comprehensive view of the galaxy’s past.

Previous research showed the Andromeda galaxy experienced a dramatic burst of star formation about 2 billion years ago, likely due to a past interaction or merger with another galaxy. Since that time, star formation has been steadily declining.

This movie, created from an analysis of data from NASA’s Hubble Space Telescope, demonstrates how the rate of star formation in the Andromeda galaxy has declined over the past 500 million years. Brighter colors indicate where star formation was highest during a given time. Credit: Visualization: Tobin Wainer (UW); Image Processing: Joseph DePasquale (STScI); Video: NASA, ESA, STScI, Gregory Bacon (STScI)

Astronomers measure the rate of star formation in terms of the mass, or amount of gas and dust, converted into stars per year. The researchers calculated that, 500 million years ago, Andromeda formed stars at a rate of about one solar mass per year. However, the formation rate dropped to about half that by 40 million years ago. The current rate has plummeted even farther, to about one-fifth the mass of our Sun per year.

The team also examined whether that decline was consistent across the galaxy or concentrated in certain areas. They found that much of the recent star formation has occurred in a star-forming ring located about 32,000 light-years from the galaxy’s center. As a result, much of the decline they measure is driven by decreasing activity within that ring.

The decline is likely to be a natural winding down from its previous, more active state.

“It’s just like after running a marathon, sometimes you’ve got to take a bit of a breather,” said lead author , a UW graduate student in astronomy.��

The team also investigated whether there was any connection between the decrease of activity in Andromeda and its proximity to the satellite galaxy Messier 32, or M32. The M32 galaxy is separated from Andromeda by about 16,000 light-years in the plane of the sky; however, its 3D location in space is uncertain. As a result, astronomers are unsure if or when it might have interacted with Andromeda in the past.

“One of the major motivations for this program was to probe potential interactions between M32 and Andromeda’s disk,” said co-author , a UW postdoctoral scholar in astronomy.

Survey data from the Panchromatic Hubble Andromeda Southern Treasury allowed the team to study the history of star formation in Andromeda near M32. They found that this area showed signs of decreased star formation compared with other regions. The timing of this decrease, which this study finds began roughly 60 million years ago, could help constrain when the M32 galaxy interacted with Andromeda’s disk.

“We can’t explicitly say that we are seeing a decrease in star formation because of M32. But it’s right there, and it’s definitely the most likely suspect,” Wainer said.

The team plans to continue analyzing the Hubble data and combine it with data from ground-based observatories to gain additional insights into the history of Andromeda.

“There’s a strong scientific value to this archival data,” said co-author , a professor of astronomy and astrophysics at University of California Santa Cruz. “Andromeda is important because it’s a neighbor that is close enough that we can see it in great detail while also getting a global perspective.”��

An even greater global perspective is likely to come from NASA’s Nancy Grace Roman Space Telescope after it launches as early as Sunday, Aug. 30. Roman’s gigantic field of view can cover at least 100 times as much area as Hubble at near-infrared wavelengths in a single observation. A newly approved will image the entirety of Andromeda’s disk and areas of its surrounding halo, allowing astronomers to measure hundreds of millions of stars and enabling groundbreaking new science.

Hubble is a project of international cooperation between NASA and the European Space Agency.��

UW co-authors include , professor emerita of astronomy and , and , former UW graduate students in astronomy.

A complete list of co-authors is .

This research was funded by NASA.

For more information, contact Wainer at tobinw@uw.edu.

This story was adapted from a press release by .

Source

New design process accelerates the discovery of advanced materials

Flexible materials that combine mechanical flexibility with high thermal or electrical conductivity are essential for wearables, stretchable electronics and soft robotic systems. To identify new composite materials with those properties, researchers typically create and test many different material formulations, a process that can be time-consuming, expensive and lead to waste. , UW researchers developed a new “inverse design framework” that reverses the standard design process to speed up the discovery of multifunctional materials. The framework starts with the desired material properties for a specific application — such as wearable electronics — and works backward to determine the optimal material composition using physics-based modeling and machine learning. Experiments showed that a material identified by the framework achieved about 60% higher thermal conductivity while reducing material cost by about 10%, compared to materials that were previously used.��

For more information, contact senior author , UW assistant professor of mechanical engineering.��

The other co-authors are Lijun Zhou, Yunsik Ohm, Ren-Mian Chin, Olivia Kerr and Krithika Manohar.

Climate models get a vote of confidence in a new UW study mapping tropical ocean temperature over time

Climate models help researchers understand how conditions are changing over time to forecast what is likely to happen in the future. Predicting extreme heat, drought or flooding years in advance can give people time to prepare, but the accuracy of these predictions varies. Scientists test models by asking them to recreate past climate and comparing those predictions with observational data. Although modern climate models get a lot of things right, they often fail to replicate recent temperature change in the tropical Pacific Ocean, a key region for global weather. This has concerned scientists, but a UW study offers a glimmer of hope. The researchers found that climate models could successfully replicate temperature trends in the equatorial Pacific when they expanded the window of observation by 20 years. Including more data allowed the models to better account for climate variability, which can create long-lasting fluctuations in temperature and precipitation that aren’t always indicative of a general trend.��

For more information, contact senior author Matt Luongo, UW postdoctoral fellow in the Cooperative Institute for Climate, Ocean, & Ecosystem Studies and School of Oceanography at mluongo@uw.edu.

The other UW co-author is . A full list of co-authors is .

Paternal body odor increases brain-to-brain synchrony with infants

Infant brains recognize their fathers as unique social partners, showing stronger brain-to-brain synchrony with their fathers compared to unfamiliar males during social interactions. A new study also shows that when infants interact with unfamiliar males while exposed to their fathers’ body odor, their brain synchrony increases to levels similar to those seen with their own fathers. Further, exposure to paternal body odor increased infants’ positive arousal. These findings suggest that infants use their fathers’ scent as an important social cue, even when the father is not physically present. Researchers also found that father-infant synchrony involved a different neural rhythm than previously observed in mother-infant interactions, suggesting that mothers and fathers may support development through complementary neural pathways. Combined, these findings reveal a previously unknown role of paternal body odor as a sensory signal that contributes to early social and brain development.

For more information, contact , co-author and a research scientist in the UW Institute for Learning and Brain Sciences.��

The other co-authors are Linoy Schwartz and Ruth Feldman.

Source

Landslides cause an estimated in the United States. Those numbers could easily increase as housing needs spur development in landslide-prone areas, and as climate change , which are often a trigger. Despite the threat, there has never been a systematic, nationwide accounting of who is most at risk from landslides.

The new is the first resource to map building-level landslide risk for the entire U.S. The database, developed by �������� researchers, rates 128 million buildings by landslide susceptibility, and uses socioeconomic data to assess residents’ vulnerability to the dangers and disruptions caused by landslides.��

According to the analysis, roughly 6.5 million people live in landslide-prone regions; most of those people are concentrated in Appalachia and along the West Coast. Urban residents of landslide-prone properties tended to be more affluent and resilient, whereas rural residents in at-risk areas tended to be less resourced and more vulnerable to the impacts of a landslide.

The results give government agencies and emergency managers a way to prioritize resources for landslide education and mitigation, and can also help individual residents understand their own risk.

“As a community of landslide researchers, we have spent almost all of our time studying the physical geography of landslides,” said , a UW professor of civil and environmental engineering and the co-creator of the database. “But we never considered the human geography. Now we can answer some very important questions about who is exposed.”

Wartman and his team in Earth’s Future. They also along with user-friendly tools to help nonscientists browse the results.��

To create the new database, the research team blended together multiple huge datasets: a map of terrain and landslide susceptibility made by the United States Geological Survey; inventories of building footprints and occupancy information from the Overture Maps Foundation and the Army Corps of Engineers, respectively; and socioeconomic data from the Census Bureau. The census dataset included information like income, disability, vehicle access, housing condition and other factors that impact the ability of communities to respond to disasters.

“This effort was much more than just merging massive datasets,” said lead author , a UW doctoral student of civil and environmental engineering. “The real work was the careful curation required to turn the incredibly rich data available in the U.S. into an accurate, usable tool for everyone from decision makers to the public.”

The analysis revealed that while almost 20% of the land in the country is prone to landslides, that area is home to just 2% of the population, or about 6.5 million people. Of those highest-risk residents, 80% live either on or near the West Coast or in Appalachia; West Virginia emerged as the state with the largest share of at-risk residents.

“Those concentrations were surprising,” Wartman said. “In a sense, it’s good news, because it shows landslide risk to be a localized hazard, which makes it more practical and affordable to address.”

The results also reveal an unexpected urban-rural divide. In rural areas across the country, the most landslide-prone communities tend to face greater economic constraints and are thus more vulnerable than the overall population. Residents there often have fewer resources to prepare for or recover from a landslide, for example, and are more likely to live in structures far from emergency services.

But in urban areas, Wartman said, “all of that flips on its head.”

Landslide-prone areas in cities tend to be highly valued hillside neighborhoods with desirable views, so the exposed populations are often better resourced. When a landslide occurs, these residents typically have greater financial capacity to recover from the damage.

Because of those complex regional and socioeconomic differences, the researchers warn against a “one-size-fits-all” approach to landslide policy. Instead, they recommend mitigation strategies that are specific to each region’s realities. In Appalachia, that might mean early warning systems that can reach a widely dispersed population, whereas in Seattle or San Francisco it might mean regulations that discourage building on unsafe slopes.

Wartman hopes that researchers and regulators will use the dataset to study landslide risk and develop new ways to protect residents across the country. He also sees it as an educational tool for anyone to learn about landslides and assess their own risk.

“People email me because they want to know if their homes are at risk, and I haven’t had a resource to point them to,” Wartman said. “That was a big part of the motivation for this work. Now I have something straightforward to offer them.”

, professor of civil, construction and environmental engineering at North Carolina State University, is a co-author of the research.

This research was funded by the National Science Foundation.

For more information, contact Wartman at wartman@uw.edu.

Source

affects approximately 23 million people worldwide, with onset usually occurring during a person’s late adolescence to their 20s. Impairments associated with schizophrenia include hallucinations, delusions and disorganized thinking and behavior.

Now, researchers at the �������� are investigating how genetic changes impact the severity of schizophrenia symptoms. A new study, , supports the idea that deletions in genes that regulate early brain and neuron development are associated with more severe features of schizophrenia spectrum disorders, particularly lower cognitive abilities.

How schizophrenia manifests — and how severely — differs between patients. Poorer cognitive functioning in schizophrenia is associated with more treatment-resistant forms of the disease. , co-author and assistant professor of psychology at the UW, said understanding early developmental genetic factors could help identify people who could benefit from earlier, targeted inventions.

“For a subset of individuals, we may need to be thinking about how we can create treatments earlier in brain development that will help compensate for the fact that certain genes are being deleted,” Forsyth said. “Is there some kind of medication that can help with that? Down the road, could there be gene therapies for some of these individuals? I do think this research is going to be important for changing treatment direction.”

The researchers studied the DNA of more than 600 people with schizophrenia spectrum disorders. The team compared these results to data from patients’ relatives, people without schizophrenia and nearly 10,000 children participating in the .��

People with schizophrenia who carried the deletions tended to perform worse on cognitive tests — showing poorer memory, thinking and attention skills than people with schizophrenia who didn’t carry the deletions. Similar, weaker associations were also seen in the general population, which suggests these variants may influence brain development more broadly, even in individuals without schizophrenia.

The study also showed these specific genetic deletions were associated with differences in brain structure, including higher gray matter volume and cortical thickness. This is the opposite pattern researchers typically see on average in schizophrenia, Forsyth said, which again suggests variability between patients.

“This study helps us understand the specific way somebody manifests a disorder,” Forsyth said. “It’s sort of a cumulative effect of different risk profiles. We all carry tons of genetic variants, and the specific types of variants we have and how they combine is very complicated. These things aren’t totally deterministic, but I do think understanding which specific aspects of brain development are affected by the genetic variants a person carries, and how this shapes how the disorder manifests, can start to inform how we think about different treatment approaches.”

Other UW co-authors were graduate students Jinhan Zhu, Zachary Trevorrow and Mahnoor Hyat, undergraduate research assistant Ariana Chavannes, research coordinator Sam Sievertsen and research technologist Sophie Ferreira-Ianone. , a UW senior research scientist in biostatistics, was also a co-author.

A is included with the study.

This study was funded by the National Institute of Mental Health, the Brain and Behavior Research Foundation, the National Center for Advancing Translational Sciences UCLA Clinical and Translational Science Institute, the UCLA Brain Research Institute and the Shear Family Foundation.

For more information, contact Forsyth at jenforsy@uw.edu.

Source

Eight �������� researchers have been selected as Fulbright Scholars for 2026-2027 and will pursue studies around the world.��

Fulbright Scholars are college and university faculty, administrators and researchers, as well as artists and professionals, who build their skills and connections, gain valuable international insights and return home to share their experiences with their students and colleagues.

This year’s UW cohort represents a variety of disciplines, including sciences, engineering, business, environmental sciences, electrical and computer engineering, and computer science. The scholars will conduct research across the globe, including in Australia, India, Indonesia, Western Europe, Scandinavia and East Asia.

Two-thirds of this year’s UW applicants were selected as Fulbright Scholars — an astonishing acceptance rate in the prestigious and highly selective program.

“We are incredibly proud of these outstanding �������� faculty and staff whose selection as Fulbright Scholars reflects the excellence, innovation and global impact of their work,” said UW Vice Provost for Global Affairs Ahmad M. Ezzeddine. “The knowledge, partnerships and cultural understanding they gain through these experiences will enrich the UW and strengthen our shared commitment to addressing global challenges through collaboration and discovery. As the Fulbright Program celebrates its 80th anniversary, we are grateful for the U.S. Department of State’s continued investment in this transformative program.”��

The Fulbright Scholar Program for academics and professionals supports more than 800 people to teach and conduct research abroad.��

This year’s UW Fulbright Scholars are:

is a professor in the Department of Biology in the College of Arts & Sciences. His research focuses on how mutually beneficial interactions between species — such as how insects pollinating plants is beneficial to both — scale into networks involving multiple species, and how the structure of those networks affects ecosystems. For example, some ecological network structures, or how connections between species are arranged, make these networks more resilient to perturbations, such as droughts or climate change.

Brosi’s Fulbright Scholar award will be through Spain’s flagship public research institution, Consejo Superior de Investigaciones Científicas, at the Doñana Biological Station in Seville. His work there will involve synthesizing and analyzing two comprehensive long-term datasets — one from his lab and one from his Spanish host lab — to better understand global patterns in pollination networks. In particular, scientists have recorded species that appear to be “specialists” — such as a bee species that has only been recorded visiting one plant species�� — in many ecological networks, but, without long-term data, it’s difficult to disentangle whether they are really specialists or just rare. Brosi will tackle this problem in collaboration with his Fulbright host, Ignasi Bartomeus, at Doñana.����

is the director of academic services in the Department of Bioengineering in the College of Engineering and UW Medicine. She supports the department’s doctoral students with a focus on improving the research experience, expanding opportunities and advancing access and collaboration.��

While a Fulbright Scholar, she will develop a framework for a new doctoral biomedical research exchange between the UW and Tampere University in Finland. Combs will work with faculty, students and staff at both universities to lead the development of a preliminary structure of a doctoral research exchange, including eligibility criteria, mentorship plans and evaluation metrics. She will also explore funding sources for the program’s ongoing sustainability and draft a memorandum of understanding for the institutions to consider.

, an assistant professor of management and organization and the Helen Moore Gerhardt Faculty Fellow in Entrepreneurship in the Foster School of Business. Her areas of expertise include entrepreneurship, organizational growth and scaling, technology and innovation strategy, and venture capital. DeSantola teaches entrepreneurship and entrepreneurial strategy to undergraduates, master’s and doctoral students. She was named a Poets & Quants top 50 undergraduate business professor in 2021.��

DeSantola will use her Fulbright award, during which she will be a visiting U.S. Scholar to University College Cork in Ireland, to study factors influencing innovation and entrepreneurship in novel food technologies. The project connects to a broader stream of DeSantola’s research exploring the emergence and evolution of new technology-based industries.

is�� an interdisciplinary scientist in the School of Marine and Environmental Affairs in the College of the Environment. Her work focuses on how coastal communities adapt to climate change and other environmental and socioeconomic stressors, particularly within fisheries and aquaculture systems. During the past 15 years, she has worked with coastal populations, including Indigenous harvesters, to support food sovereignty and long-term approaches to adaptation and resilience.

Green’s Fulbright award is to advance the inclusion of�� fish and other aquatic foods —�� “Blue Foods” — into Indonesia’s National School Lunch Program. The goal of this project is to improve nutritional outcomes for school-aged children while strengthening local food systems. Through working directly with fishers and fish suppliers, Green will work with the project team to identify the conditions necessary to provide Blue Foods that promote positive nutritional outcomes for children, support local fishers and sustain local ecosystems. This project is a pilot program for the initiative that will hopefully be expanded nationally.

is an associate professor in the Information School and also is part of the Responsibility in AI Systems and Experiences (RAISE) Center. An interdisciplinary scholar with expertise in human-centered AI, Mitra’s work draws on human-computer interaction, machine learning, natural language processing and social science to understand how people and AI interact in large-scale online systems. Her research examines the societal impacts of generative AI and develops methods to make AI systems more trustworthy, culturally aware and beneficial for diverse communities.

She will use her Fulbright award in India, where she will collaborate with researchers at the Centre for Machine Intelligence and Data Science (C-MInDS) at the Indian Institute of Technology (IIT Bombay) — the nation’s topmost and most selective public research institution. She will investigate the risks and capabilities of generative AI systems across socio-cultural contexts most relevant to the Global South. The work aims to advance more culturally aware and responsible AI while strengthening research partnerships between the United States and India.

is an associate professor in the School of Oceanography in the College of the Environment. Morris’ research uses cultivation and whole-genome DNA sequencing to identify the roles of bacteria in global nutrient cycles. With a focus on carbon, nitrogen and sulfur, he has conducted studies that show the effects of low dissolved oxygen on the nutrient cycling activities of the ocean’s most abundant organisms.��

During his time at in South Korea, Morris will pursue a project entitled, “High-throughput cultivation-based genomics of freshwater Chloroflexota.” A key goal is to advance understanding of the evolution of this important group of bacteria and its potential to mediate key nutrient transformations.

is an associate professor in the Department of Electrical and Computer Engineering and in the Department of Bioengineering in the College of Engineering. She leads a neural engineering lab focused on motor brain-computer interfaces, or BCIs. Her work combines experiments with computational methods to develop new ways to build BCIs that interact with plasticity in the brain.

During her stay at the Champalimaud Institute Centre for Restorative Neurotechnology in Portugal, she will collaborate with two researchers, Dr. Juan Álvaro Gallego and Dr. John Krakauer. The new projects aim to improve our understanding of how plasticity shapes brain dynamics and apply new BCI algorithms for stroke rehabilitation.����

is a professor in the Information School and an adjunct professor in the Paul G. Allen School of Computer Science & Engineering in the College of Engineering. He is the founding director of the InfoSeeking Lab and founding co-director of RAISE, the Center for Responsibility in AI Systems & Experiences. His research focuses on agentic AI, human-centered information seeking and responsible AI, examining how intelligent systems can act on people’s behalf while remaining transparent, trustworthy and accountable. He is also the founder and CEO of VersarAI, a startup translating his research on AI agents into enterprise applications. His book, “Agent Nation,” was published this year.��

Shah will use his Fulbright Distinguished Chair in Entrepreneurship and Innovation at RMIT University in Melbourne, Australia, to study how agentic AI can responsibly power entrepreneurship and innovation ecosystems. Working with RMIT researchers and Australia’s startup community, he will investigate what he calls the Delegation Paradox: the tension between the efficiency gained by delegating tasks to AI agents and the oversight, trust and accountability that delegation demands. The work aims to produce frameworks that help founders, enterprises and policymakers adopt AI agents in ways that drive innovation without sacrificing human agency.

Source

Researchers at the �������� and partners at Carnegie Mellon University are collaborating with the U.S. Department of Energy’s on a new project to help scientists use artificial intelligence to better understand the universe.

Modern astronomy is producing more data than ever before. Powerful telescopes — like the — and other instruments around the world are collecting detailed information about billions of stars, galaxies and other cosmic objects. These observations help researchers investigate some of the biggest mysteries in science, including the nature of dark matter and dark energy, how the universe evolved over time and what it is made of.

But there is a challenge: Much of the data from those projects is stored in different formats, housed at different institutions and difficult to combine. As a result, scientists often spend significant time preparing data before they can begin analyzing it.

“The scientific opportunities and the data analysis challenges are incredible,” said , head of physics at Carnegie Mellon University.

The new effort, led by Mandelbaum and funded by the U.S. Department of Energy’s , will create a shared data service to allow researchers to seamlessly access and combine information from multiple astronomy experiments. Rather than moving massive datasets from one location to another, the system will allow the data to remain where it is stored while making it available through a central platform.

“A new generation of telescopes and surveys will each change the way we understand our universe,” said co-investigator , a UW professor of astronomy and director of the eScience Institute. “But it is when we bring these data together to look at the universe from a unified perspective that these discoveries will be truly transformative.”

The data infrastructure developed as part of this project will be available to the astronomical community at the SLAC-hosted Rubin Observatory’s U.S. Data Facility and via the American Science Cloud, which integrates the nation’s most advanced high-performance computing systems, scientific facilities, data resources and production capabilities into a single, coordinated AI-driven system. The project extends the UW’s investments in Rubin Observatory and the UW , which are supported by Charles and Lisa Simonyi and led by and .��

The infrastructure also will support a growing area of AI known as foundation models. These AI systems are trained on large and diverse datasets, enabling them to recognize patterns and connections that might otherwise go unnoticed.

In astronomy, foundation models could help researchers analyze many different types of observations at once, including images, measurements of light from distant objects and records of how those objects change over time. By bringing these data sources together, scientists hope to uncover new insights about the universe more quickly and efficiently.

Ultimately, the team hopes to transform the vast collections of astronomical data being gathered today into a long-lasting scientific resource, helping researchers answer some of humanity’s most fundamental questions about the origin, evolution and makeup of the universe.

Other UW co-investigators include , a research scientist and engineer in astronomy. Other co-investigators include , director of engineering for the LINCC project and , senior staff scientist at SLAC and at Stanford’s/SLAC’s Kavli Institute for Particle Astrophysics and Cosmology.

Additional modeling will be provided by Francois Lanusse of the French National Centre for Scientific Research. Their work is an extension of the Schmidt Sciences-supported LINCC Frameworks program, a partnership led jointly by CMU and the UW.

This story was adapted from a press release by .

Source

Drug development is among the slowest, most failure-prone processes in modern science, with . Today, artificial intelligence methods have accelerated the first step — plucking promising molecules out of endless possibilities — but countless challenges remain. A successful drug must be not only safe and effective, but also able to bypass the body’s defenses and reach the right target.

Most drug candidates fail such optimizations. That’s where a new research institute at the �������� has focused its attention. Housed in the UW School of Pharmacy, the brings together experts in artificial intelligence, drug discovery, pharmacology, data science and biotechnology to ease the bottleneck between promising molecules and successful drugs.��

The Institute opened in July 2026 and is led by three UW faculty members: , an associate professor of medicinal chemistry who oversees the Institute’s AI-enabled molecular design; , the Milo Gibaldi Chair of Pharmaceutics and expert in drug metabolism and disposition; and , a professor of psychiatry and behavioral science in the UW School of Medicine, who leads drug discovery, translation and commercialization efforts.

UW News spoke with the three co-directors about why drug candidates fail, how AI is speeding drug development and how I2D3 hopes to help get drugs to market more quickly.

What separates a promising molecule from a full-fledged drug? What properties need to be considered, and how can a developer work toward them?

Gaurav Bhardwaj: It really depends on the disease indication you are targeting and the therapeutic modality. Let’s say you have a promising molecule that interacts with the disease-causing protein. Delivery becomes equally important — do we need an orally delivered drug? Do we need to cross the blood-brain barrier? If the disease requires daily dosing, then injectable or IV methods aren’t optimal. If it’s delivered orally, then the molecule needs to be able to get across the gut barrier, and also needs to be stable enough that it doesn’t get chewed up by the body. It also needs to stay in the body for a reasonable time. A successful drug molecule has to meet all these and more criteria, and ultimately all these criteria are encoded by the sequence and structure of the molecule.

The Institute is devoted to aspects of drug development that are often overlooked. What problem do you see the Institute being able to help solve?��

GB: Traditional drug discovery and development is a trial-and-error-based process. Either you find a useful molecule in nature and spend years optimizing it for human use, or you create many random combinations of molecules and hope that one of them has the function you need. Both of these approaches are highly unsuccessful, which has created a bottleneck.

Now the field is also focusing on an idea called rational drug design. It started long before AI but is now becoming even more common. People are using AI methods to design new molecules. However, a lot of that work has focused on the first step — finding a molecule that binds to a specific protein, or has a specific function in the body. That’s still not a drug, it’s just more candidates.

The bottleneck has now shifted. It’s no longer finding that first molecule, but now, how do you add all the other drug-like properties? That’s what the Institute is trying to do. Let’s build the models that ultimately make molecules that are going to be successful all the way through the drug development pipeline.��

Marco Pravetoni: I see our work also as accelerating discovery. I work on substance use disorders, and my lab develops vaccines, antibodies and next-generation antibody-like molecules that target drugs in the body. With these new tools, instead of working to design 10 antibody candidates in a lab, we could design 1,000 or more, and then we can accumulate enough data to reduce any risks, so that what we bring to clinical trials is more likely to be successful. AI can do a lot of that.

How can you make it more likely that a drug candidate succeeds in trials?��

Nina Isoherranen: Part of it is predicting what’s going to happen to a drug in humans before it’s ever given to humans. That should increase the success rate and eliminate the waste of doing a lot of unsuccessful trials.��

We can also build machine learning and AI approaches to predict drug disposition in an individual person. What we talk about today are ‘digital twins,’ which refers to a computational model of the individual patient and their characteristics. For example, how does your kidney function? What is your body mass index? And so forth. Then we generate a digital version of you. We can then predict how a certain drug would behave in your body and build the best strategy.��

There’s also an access-to-treatment question here. Pregnancy is a great example — we often don’t know how drugs work in pregnant women because we’ve never done trials. To be safe, we say that pregnant people shouldn’t take those drugs, but that means they don’t have access to a potentially hugely beneficial medication. If we can use AI and machine learning to predict how pregnant people respond to medications and how their bodies handle drugs differently from nonpregnant people we can make more medications accessible

Now with AI and machine learning, I think we can get to a place where we can truly sample the full space of possibilities.��

How can the methods you’re building help with these individualized treatments?��

NI: We know that drugs behave differently in different people. Even if we give them the exact same drugs and concentrations, people may still have different responses because of factors inherent to our bodies.

During drug development the candidate drug needs to be studied to see responses in different populations. Before you get a drug approved, you need to understand how liver disease, for example, is going to change exposure to that drug and whether you need to change the dosing. There’s a lot of guidance on drug interactions. Pharmacists manage drug interactions all the time, but it gets very complicated when you combine multiple patient factors. Now, if we have good predictive tools, we can predict what’s going to happen without having to do trials.��

The ultimate goal here is to be able to predict, using model computational tools, what’s going to happen in individual humans before you ever give them a drug. What’s the right dose? The right timing?��

UW has established itself as a leader in these fields already. I’m thinking especially of the UW Medicine , whose director, , recently won the Nobel Prize in Chemistry. How does I2D3 fit into the broader UW ecosystem?��

MP: IPD is a world leader in designing novel proteins, and the UW also has outstanding capabilities in clinical testing and implementation through the . However, there remains a critical translational space between discovery and clinical application —�� one that focuses on the pharmaceutical development needed to turn promising innovations into viable therapeutic products. That’s where I2D3 can play a leading role.

For example, when researchers at IPD develop a new protein, I2D3 can partner with them early to address formulation, manufacturability, stability, delivery, and other key pharmaceutical considerations that are essential for advancing a discovery toward the clinic and ultimately the marketplace. I2D3 would serve as a core translational partner, helping bridge the gap between innovation and implementation.

IPD brings unmatched strengths in protein design, ITHS provides expertise in clinical translation, and I2D3 contributes the drug development and pharmaceutical sciences capabilities needed to move discoveries across the translational continuum. Together, these organizations can create a powerful and highly integrated ecosystem.

For more information, visit . To reach the researchers, contact Alden Woods at acwoods@uw.edu.

Source

Approximately 90% of the U.S. population . A significant portion of the water supplying those systems comes from forested lands, which means that policies impacting forests also impact our water access.

In 2001, the Clinton administration passed the , blocking 60 million acres of national forest land from development to limit industrial timber harvest and preserve forest ecosystems. Although popular with the public, the roadless rule drew immediate criticism from timber and related industries. Last summer, the federal government announced plans to rescind it.

A new study from the �������� and Conservation Science Partners, , highlights the potential consequences of losing those protections by mapping how the roadless rule protects rivers.

“The roadless rule supports the drinking water supply for 25 million Americans and offers critical protection of wildlife habitat and recreational assets. In short, rivers in roadless areas are essential for both people and nature,” said lead author , a UW professor of aquatic and fishery science.

To show how forests impact freshwater, the researchers looked at nearly 110,000 square miles of national forest representing 2,488 officially designated “roadless areas.” They cross-referenced the roadless areas map with a recent study assessing river protections nationwide to see where rivers and roadless areas overlap, and therefore which rivers were vulnerable to losing protection.

The researchers found that more than 80,000 miles of rivers in the continental U.S. receive some protection from the roadless rule. Of those protected segments, nearly 62,000 miles of river are protected by only the roadless rule. That water reaches 25 million people across the country, often at downstream distances far from roadless areas.

Research shows that forested lands provide higher quality water because soil microbes and plant roots filter contaminants before water arrives at treatment facilities. Cleaner water requires less processing, reducing potential treatment costs for public utilities. Some water utilities are investing in watershed protection as a way to save money and limit chemical use as demand for water rises.

“Forest cover is well recognized for generating economic benefits by avoiding the large capital costs of water treatment plants needed to ensure clean, safe drinking water for people,” said Olden.

Roadless areas are also vital strongholds for sensitive aquatic species, Olden added. At-risk species such as the use protected habitat for spawning and raising young. Hunters and anglers also value roadless areas because they support such productive fish and wildlife habitat and offer unparalleled opportunities for outdoor recreation.

After the U.S. Agriculture Secretary Brooke Rollins announced the plan to rescind the roadless rule last year, more than half a million people submitted comments during the public comment period, which ended in September. According to the Center for Western Priorities, more than expressed opposition to the plan.

Earlier this year, Republican lawmakers attempted to by attaching it to the Wildfire Prevention Act, which supports prescribed burns and forest thinning to fight megafires. Their to justify clawing back protections claimed that rescinding the roadless rule would allow for better forest management, but . Research shows that roadbuilding in formerly roadless areas is more likely to increase fire risk.

“To be clear, the rule does not block any management action that supports forest health, wildfire mitigation or recreation,” Olden said. “In fact, energy projects, transmission lines and mining development remain permitted within roadless areas.”

Roadbuilding and logging can cause sediment build up in lakes and rivers, which must be filtered out. Chemicals from construction can also end up in the water supply. Reductions in forest cover resulting from rescinding the roadless rule may compromise water quality in the U.S., among other negative consequences for animals and ecosystems.

The U.S. Forest Service says it is reviewing public comments and a proposed rule and draft statement of environmental impact this year.

“Any decision to rescind or downgrade the roadless rule that may put forested lands at risk requires careful consideration of the numerous benefits they offer to people and nature,” said Olden. “Our study offers data to inform such decisions.”

This study was funded by the �������� and from a contract from American Rivers to Conservation Science Partners.

For more information, contact Olden at olden@uw.edu.

Source