The Short Version

University at Albany

Quick insights for busy people. We're helping you understand the world 15 minutes at a time. Recorded in Albany, New York, at the University at Albany, one of the most diverse public research institutions in the United States.

  1. Decoding dementia: Learning the brain’s electric language

    6D AGO

    Decoding dementia: Learning the brain’s electric language

    The longer version  Annalisa’s lab is working to understand how the brain processes spatial awareness — both to inform medical advances for dementia research and to advance technologies seeking to mimic the efficiency of the human brain. Here’s a look into how her team uses mouse models to answer these questions. AS: Genetically, mice are surprisingly similar to humans. In our studies, we allow them to navigate through space, and we have them run on a treadmill that has different cues that indicate different environments. For example, there are portions with grass, there are portions with different textures or different colors. As the mice move, we record the electrical activity of cells within the hippocampus called “place cells” that encode cues that tell us where we are. This allows us to monitor how place cell formations change in mouse models with different diseases.  One thing that we have found is that allowing neurotransmitters (chemicals used by the brain to communicate) to travel further in the brain tissue is a key mechanism that facilitates our perception of space. If changes in brain structure like those seen in Alzheimer’s disease block or prevent neurotransmitters from travelling where they need to go, this affects our ability to perceive where we are. How do you know that what you see in mice can accurately be mapped onto a human brain and connected to neurodegenerative diseases? AS: We never know that for sure; it’s more of an inference than a certainty. It's difficult because we cannot do these types of studies in healthy versus unhealthy human volunteers. Clinical trials are limited in how many people can be involved and they take a very long time. Instead, we can use mice to repeat these experiments across a larger population, which we can follow through time in healthy and diseased states and make predictions. In the future, clinicians could see whether our predictions are accurate or not.  Studies like these are really important for informing new ways to manage dementia. If we can find therapies, either pharmacological or behavioral, that can delay the progression of the disease and keep the patients in a clear state of mind for longer— if I could achieve that in my lifetime, that would be a huge success. What do you think it will take to answer these questions? AS: Right now, everyone is talking about artificial intelligence and how AI could help us solve this sort of question. While AI is booming, it's also environmentally and energetically hungry. At this pace, we can't sustain the developments, so what can we do? The solution is to go back to the brain to learn how it allows us to be so intellectually complex at the energetic cost of a dim light bulb. It can be easy to think that there's no hope, but we have to overcome that. When I was a kid, there was an environmental concern about how much light we were using and then LEDs were developed. But oftentimes, when you think that there's no solution, the solution is there and it's innovation. Go deeper Look inside Annalisa’s lab to see how her team is building novel tools to study how the brain works and how it is affected by neurodegenerative disease.  Learn more about the biology of Alzheimer’s and how the disease takes hold in this Q&A.  Annalisa’s work was among six projects to recently receive funding as part of the SUNY Brain Institute. Learn more in this Times Union coverage about SUNY’s $10 million, cross-campus investment in neuroscience, featuring insights from Annalisa.  Episode credits Audio editing and production by Scott Freedman  Photo by Zach Durocher  Hosted and written by Erin Frick The Short Version is produced by the Office of Communications and Marketing at the University at Albany, which is part of the State University of New York. Comments, ideas, suggestions?  Send them to mediarelations@albany.edu and be sure to put The Short Version in the subject line.

    16 min
  2. Transactional intelligence: Can banks help stop the spread of nuclear weapons?

    FEB 25

    Transactional intelligence: Can banks help stop the spread of nuclear weapons?

    The longer version: The title of Bryan Early and Togzhan Kassenova’s forthcoming book on the financing and proliferation of weapons of mass destruction is evocative: Banks and The Bomb. The bomb. As in, the atomic bomb. But wait… Is that something we’re still worried about? Is the spread of nuclear weapons still the biggest threat to global peace and security in 2026? Certainly, it’s been in the news a lot following the June 2025 U.S. military strikes on Iranian nuclear facilities and, more recently, the lapse of a major arms-control treaty between the U.S. and Russia that, among other things, capped the number of nuclear warheads in circulation. The answer is complicated, and Bryan did a great job explaining why in a part of our conversation that didn’t make the final edit.  We also asked him if the rise of cryptocurrencies is interfering with the ability of governments and banks to use the financial system to police illicit weapons transactions.  Here’s what he had to say. Without being alarmist, what concerns you most about the technology that's trying to get out and that people are trying to jailbreak these days? BE: I would say nuclear weapons are the technology we're most concerned about because they have the greatest potential destructive impact. Chemical weapons have kind of the lowest threshold for use because there are a lot of dual-use chemicals. I don't know if you've watched Breaking Bad, but he makes phosgene [a poison gas] through his meth-making process. He also — well, I don't want to give away the plot — but he also develops a biological weapon and uses it at the end of the series through his knowledge of chemistry. You can use chemistry to build weapons, but developing sophisticated, dedicated chemical weapons is much harder to do. What I would say I'm more worried about right now from a proliferation perspective are some of these unmanned aerial vehicles or unmanned underwater vehicles. There are a lot of ways that unmanned systems are being weaponized and used in warfare in places like the conflict between Armenia and Azerbaijan, and the conflict between Russia and Ukraine, where we've gained a greater appreciation that civilians using off-the-shelf technology can build pretty dangerous conventional weapons. And you can put a chemical weapon on it; if you have a biological agent, you can put that on it. A nuclear warhead's going to take something bigger. But you can get some pretty dangerous off-the-shelf capabilities that aren't really being regulated very well — or really at all for some of the lower-range aerial systems. And so that's one where if a non-state actor wants to use that and wants to acquire these capabilities, the threshold is pretty low. Are they going to be able to carry off a severe attack directly? No. But if you attack a vulnerable piece of infrastructure at the right place or at the right time, you can do a lot of damage. What happens when transactions move outside the banking system? Does crypto’s existence, and the way it is used, undermine the ability of the financial system to be a watchdog? BE: Crypto has been an amazing boon for countries subject to economic sanctions, like North Korea, because it has provided them with a way to operate outside of the traditional financial system and to engage in large-scale financial transactions that are by design meant to make it harder for governments to track the parties involved. What's been interesting about North Korea from our case research is that crypto is not only a way to move money, it’s a target of fundraising.  The North Koreans are able to steal and hack crypto wallets or the virtual asset service providers that are facilitating transactions. And so North Korea is able to raise millions, and even billions, of dollars through these thefts. Once they have the money, they use the crypto ecosystem to launder those funds. They could take their funds to mixer sites or decentralized exchanges. The decentralized exchanges turn it from Ethereum into Bitcoin. Once it's changed into Bitcoin, they can then take it to a mixer site that mixes the funds through a bunch of different accounts, and then they're transferred on to other wallets. So they're able to steal funds within this ecosystem, then launder the funds.  There are ways at the other side of the system, when they actually try to cash out, that you can use financial systems that are being regulated, or crypto asset providers that are being regulated similar to financial institutions, to employ due diligence to scrutinize transactions. But this has been one of the real big challenges over the last five- to 10 years — that proliferators are able to use these channels to raise funds and move funds. Go deeper Learn more the Project on International Security, Commerce, and Economic Statecraft. Read about its work across the globe. Bryan’s previous book, Busted Sanctions: Explaining Why Economic Sanctions Fail, was published in 2015. Episode credits  Research by Maggie Hartley  Audio editing and production by Scott Freedman  Photos by Mario Sotomayor Written and hosted by Jordan Carleo-Evangelist  The Short Version is produced by the Office of Communications and Marketing at the University at Albany, which is part of the State University of New York. Comments, ideas, suggestions?  Send them to mediarelations@albany.edu and be sure to put The Short Version in the subject line.

    18 min
  3. Chasing WIMPs: Inside the hunt for dark matter with astroparticle physicist Cecilia Levy

    FEB 18

    Chasing WIMPs: Inside the hunt for dark matter with astroparticle physicist Cecilia Levy

    The longer version: Lately, Cecilia Levy’s contributions to LUX-ZEPLIN’s hunt for direct evidence of dark matter come in the form of computational physics — that is, the extraordinarily complex analysis of the data coming out of the dark matter detector. (As a postdoc, Levy also contributed to its assembly and commissioning.) Cecilia's data analysis work begs a more fundamental question: How would we know dark matter if we found it? What would the data say about a thing we cannot see?  We got deep into these cosmic weeds in a portion of our conversation that did not make the final edit but is nonetheless fascinating. One programming note: You’re going to read a lot about xenon below. If you’ve heard of it before, you probably know that xenon is considered a noble gas — an element that does not chemically interact with much. It’s used inside LUX-ZEPLIN as a liquid, in part because it’s very dense and helps shield the inside of the detector from cosmic interference. Here’s how Cecilia explained what happens next: When you're looking at the data that comes out of the detector, what are you seeing that makes you say, “Aha! A WIMP just crashed into our xenon!”? What does that look like? CL: The data analysis on something like this is absurdly difficult. Please understand that it's not just like, “Oh, boom, there was a little spike on an oscilloscope,” and we know we just detected the WIMP. It doesn't work that way at all.  You cannot actually detect the WIMP itself. What you detect is its interaction with the xenon nucleus. Imagine a billiard ball collision. One ball is dark matter; the other is a xenon nucleus. So you're playing pool, and the dark matter interacts with the xenon and then goes on its merry way. It's gone. But because it's deposited some energy into the xenon, the xenon has recoiled. And with this recoil, you get light, and then you get a little bit of electrical charge.  We look at this light, and then this charge, and we move it up into our xenon and make it interact again with other xenon atoms to get secondary light. What we're looking at is really the light that is being produced in our detectors. The xenon is what we call our target material. It's not the actual detector. The detector is all the light sensors around it. So the target material is what's going to say, “Hey, boom, there was an interaction.” And then all the light detectors say, “Okay, was there a flash of light in here? That's how we know. Annoying question.  CL: Go ahead. Why is that direct evidence and not indirect evidence? Because you're detecting the light, right? Light is an indicator of an interaction in a place so quiet that it almost certainly had to be dark matter. But you didn’t see the dark matter. You saw the light produced by its crash.  CL: Because you can’t see it! Because it’s dark matter. Right, you can’t. That's the whole conundrum here. If we could see it, we wouldn't have to do all this. And this is something that's really important to understand in physics. There are a lot of indirect things like that. Because very seldom do you actually see exactly what you’re looking for. [gestures to her eyeglasses] OK. Right now my glasses are on the table. You see them, you think immediately in your mind, “This is a direct detection of my glasses on the table,” correct? Yes. CL: Okay, well, I'm going to turn that argument against you. I'm going to say, “Actually, you do not see my glasses. What you see is the light from my glasses arriving into your eyes, which are the detector.” Okay. CL: Same thing. We call this direct [detection of dark matter] because what we are looking at is a direct interaction of a dark matter particle with our xenon nucleus. In our case, it's direct because there is a direct collision And you can see the light. CL: And I can see the light. The same way that you can look at my glasses because you see the light from my glasses. Go deeper Read about the latest results from UAlbany’s contributions to the LUX-ZEPLIN experiment Check out this video from the Sanford Underground Research Facility to see what the LZ detector looks like and how they got it a mile deep into the mine.  There are more photos here from the Department of Energy’s Lawrence Berkeley National Laboratory, which is leading the project. Episode credits  Audio editing and production by Scott Freedman  Photos by Patrick Dodson  Written and hosted by Jordan Carleo-Evangelist  The Short Version is produced by the Office of Communications and Marketing at the University at Albany, which is part of the State University of New York. Comments, ideas, suggestions?  Send them to mediarelations@albany.edu and be sure to put The Short Version in the subject line.

    17 min
  4. Playing it safe: How turning disaster prep into a game can save lives

    FEB 11

    Playing it safe: How turning disaster prep into a game can save lives

    The longer version  Beyond her research on emergency management and technology, DeeDee also works on enhancing climate resiliency in coastal regions.  In 2023, DeeDee was selected by the National Science Foundation (NSF) to serve as Ocean Decade Champion, which led her to attend the 2024 IOC/UNESCO Ocean Decade Conference in Barcelona. The summit spotlighted research that integrates natural, social and technological disciplines toward a shared mission of building coastal resilience.  We asked DeeDee about takeaways from this experience. DBG: "The experience was invaluable. I've noticed a growing divide between STEM and social sciences when tackling complex problems. While we often call for data-driven, STEM-focused solutions, many questions, like why people behave as they do or how to drive change, require qualitative, social science perspectives.  Solving complex problems, like climate change, poverty, or expanding STEM education, requires more than one discipline. Funding mechanisms should reflect this and support truly inclusive, community-engaged research." In addition to being a respected scholar in disaster preparedness, DeeDee is one of many UAlbany faculty members focused on ensuring that what she learns in her lab is translated to the real world, where that knowledge can help people. DeeDee’s research on individual and household emergency preparedness shows that organizations struggle to teach the public how to deal with disasters in part because there are not enough opportunities to practice in immersive ways. To address this, her startup company Almanta developed a game called “All Hazards.” Played using a VR headset, the game allows the user to roleplay their way through a disaster scenario. The result, she says, is not just building tech for agencies, but building more prepared and resilient communities, one household at a time. Almanta won runner up in the UAlbany Innovation Center’s Research and Innovators Startup Exchange (RISE) pitch competition in Fall 2025, winning $15,000 in seed funding.  Go deeper Discover the work DeeDee is undertaking with her team at the Extreme Events, Social Equity, and Technology Lab. Learn more about DeeDee’s experience testifying before the U.S. Senate Special Committee on Aging about emergency preparedness and response. Watch a video that captured DeeDee’s team as they tested their wearable VR tech with test users in Brooklyn, N.Y.  Episode credits Hosted and written by Erin FrickInterview, research and additional writing by Mike NolanAudio editing and production by Scott Freedman Photo by Brian Busher  The Short Version is produced by the Office of Communications and Marketing at the University at Albany, which is part of the State University of New York. Comments, ideas, suggestions?  Send them to mediarelations@albany.edu and be sure to put The Short Version in the subject line.

    16 min
  5. Space to thrive: How colleges are cultivating belonging amid an epidemic of American loneliness

    FEB 4

    Space to thrive: How colleges are cultivating belonging amid an epidemic of American loneliness

    The longer version: Michael Christakis has led UAlbany’s Division for Student Affairs and Enrollment as vice president for 11 years. But he’s been part of the unit for going on 27, and he started in the same way many people do — through Residential Life.  Mike was a graduate hall director at Alumni Quad, which, when it comes to creating a sense of belonging —the topic of this week’s episode — may be one of the most challenging assignments on campus. It’s axiomatic at UAlbany that Res Life is a training ground for some of the best problem solvers you’ll meet, and those problem solvers often later go on to work in many other divisions beyond Student Affairs. But why is that? What is it about being an RA that prepares you for just about anything? We asked Mike that in a part of our conversation that didn’t make the final edit. We sort of joke on campus that anybody in any unit across the campus who's good at getting things done typically started in Res Life. MC: Correct.  And we joke about it, but it's also kind of true. MC: It's so true. You can go down the list of all the people who are in jobs that have nothing to do with Res Life, but who are organized, good project managers, identify a problem, identify resources. I don’t know what it is about Res Life. MC: When you're in Res Life, I mean you're quite literally a Jack of All Trades. Even at certainly a large Residential Life program like we have at UAlbany, you're doing a little bit of everything. You're doing a little bit of programming, you're working with a key shop to cut keys, you're doing room damage assessments, you're doing some conduct and some discipline, you're doing some education outside the classroom, you're doing it all. And invariably in the Student Affairs space in particular, those are usually the largest units, even at small places. The Residential Life staffs are huge given the size of our housing program. So you've also got more people that are engaged in that work. And I would agree with you, I think some of the best tacticians on college campuses often come out of Residential Life. Go deeper Read more about the launch of Thrive UAlbany Check out the full suite of Thrive UAlbany resources and programming Read The U.S. Surgeon General’s 2023 Advisory on the Health Effects of Social Connection and Community  …and The New York Times’ recent reporting on what’s weighing on college students’ minds today. Even deeper: In 2021, UAlbany was among the first universities in the U.S. to sign the Okanagan Charter as a Health Promoting University. Episode credits  Audio editing and production by Scott Freedman  Photos by Brian Busher  Written and hosted by Jordan Carleo-Evangelist  The Short Version is produced by the Office of Communications and Marketing at the University at Albany, which is part of the State University of New York. Comments, ideas, suggestions?  Send them to mediarelations@albany.edu and be sure to put The Short Version in the subject line.

    17 min
  6. What if we're wrong about money? Tally sticks, taxes and what archaeology can teach us about modern economics

    JAN 28

    What if we're wrong about money? Tally sticks, taxes and what archaeology can teach us about modern economics

    Our conversation with Robert Rosenswig was prompted by an article he published last year in the Journal of Economic Issues, “Ancient Tally Sticks Explain the Nature of Modern Government Money.” The journal prioritizes “contributions that examine the political economy of food, healthcare, energy, telecommunications, transportation, education, or recreation provisioning.”  One of the fascinating things about Robert’s work is how it connects his professional contributions as a respected scholar of Mesoamerican cultures (the Maya being one of the tally stick examples his article explores) to political and economic questions that feel very relevant today.  In that spirit, we had to ask him how his argument for the origins of money — that its value is intrinsically tied to demand created by government tax debts — intersects with the rise in the last 15 years of cryptocurrencies, which are often celebrated as means of private exchange free from government intervention. The answer, he said, has a lot to do with what gives people trust that money has any value at all. Here is what he had to say.  OK, you're invited to explain your findings at a crypto conference. Is that ending with standing ovation or are you getting heckled off the stage? Folks who have adopted the ethos of crypto, of how and why it came to be, do you think they would be excited about your argument or…? RR: Carl Menger, who is the father of Austrian economics, has quite a famous paper where he basically says money is a big Ponzi scheme, essentially, and that everyone's just passing off the money until someone figures it out. Crypto is money in the sense that frequent flyer miles are money. I mean, if you take your frequent flyer mile catalog, you probably wouldn't have a very healthy diet, but you probably could live from everything in that catalog and get clothing and food and everything. But you probably wouldn't want your retirement to be denominated in frequent flyer miles, right? I’d get heckled off the stage at the crypto conference because their idea of money is the Carl Menger view: It's all a big Ponzi scheme and the only reason it has value is because people keep using it.  And if they stop, it'd be like a game of musical chairs, and some people are going to be out lots of money. So they would argue, I think, that government money is the same. And what I'm saying is that private money like crypto is very different than government money. Government money is backed by taxation, which creates a demand for it. Private money is not.  In the ancient world, many of the trading organizations were based on religious and ethnic groups, partly because there was an internal trust within those groups of people and a social ramification for violating that kind of trust. Now blockchain in the crypto case is a good accounting measure, an independent accounting measure, and blockchain technology is quite impressive. But there's no inherent value to cryptocurrencies. And so it is an alternative source or an alternative means of exchange or creation of value that is not based on anything. It's based on aspiration or on hope that it will be worthwhile or it will be valuable in the future. So crypto folks wouldn't like this. Go deeper Read more about Robert’s work as an anthropologist, including the Soconusco Archaeological Project, which examines the development of agriculture and social stratification in Mexico’s Chiapas state and neighboring Guatemala. Also check out UAlbany’s Institute for Mesoamerican Studies. Episode credits Research and writing by Michael Parker  Audio editing and production by Scott Freedman  Photos by Patrick Dodson  Written and hosted by Jordan Carleo-Evangelist  The Short Version is produced by the Office of Communications and Marketing at the University at Albany, which is part of the State University of New York. Comments, ideas, suggestions?  Send them to mediarelations@albany.edu and be sure to put The Short Version in the subject line.

    16 min
  7. In the fly of the beholder: Brains, vision & AI with Max Turner

    JAN 21

    In the fly of the beholder: Brains, vision & AI with Max Turner

    The longer version: Max Turner is among many UAlbany faculty members whose work blends artificial intelligence tools with other scientific disciplines — in his case, fly neurobiology focused on understanding how vision works in the brain.  Max was among more than two-dozen AI-focused faculty members recruited to UAlbany with the help of new state funding several years ago as part of the largest cluster hire in University history to support UAlbany's Al Plus Initiative.  His work uses artificial intelligence to make sense of the enormous amount of complex, multidimensional data collected as his lab watches how individual neurons in fly brains fluoresce in response to visual stimuli in the lab's mini-movie theater — and how the flies react physically by moving across a fly-sized treadmill.  It's not actually a treadmill so much as it's a tiny foam ball suspended by a stream of air and marked in such a way that a camera can record the ball's movement and correlate those movements with what the fly saw. You can watch it for yourself in this brief clip.   For all this data to make sense, Max and his students need to know what the fly was reacting to. What did it see? How do we know what flies see? Are they shown big, color photos of over-ripe bananas? (No.) We asked Max this in a portion of our conversation that didn't make the final cut.  How do you decide what those visual inputs look like? It seems to me have you have to know, sort of, what a predator looks like to a fruit fly in order to simulate that. MT: "I think it starts by thinking about what natural fly behavior looks like. What do flies do with their visual systems? We don’t show flies human-inspired visual stimuli. They don’t watch movies or read books. We don’t show them those things. We show them things that we think flies use their vision for, and practically speaking it helps in designing stimuli to know that flies have pretty bad spatial resolution, meaning they have kind of chunky, pixelated vision. They’re really fast. They have really fast vision but very low spatial acuity. So we don’t need super high-resolution images of a very realistic-looking predator. You could just show a big dark spot that gets bigger at the right trajectory, at the right speed, and they’ll think, ‘Oh God, that’s a dragonfly or whatever, let’s get out of here.’”  As Max noted in our conversation, other common model species for scientists studying vision are mice, monkeys and Zebrafish. But what sets Drosophila melanogaster apart, he said, is that we have a full connectome — that is, a complete wiring diagram of the brain.  Why are you a fly guy and not a Zebrafish guy? MT: “I’m a fly guy because I like getting into the biological mechanisms — the genes, the neuron types. We have a connectome. For a neuron that I’m interested in, I can find all that neuron’s inputs, all of its outputs. I have the genetic tools to record activity in that neuron, activate that neuron, silence that neuron in a way that’s just not possible in any other model species." Not even Zebrafish? MT: Not even Zebrafish. Go deeper Learn more about Turner Vision Lab.  If you want a deep dive into why Drosophila melanogaster became such a widely used model species in science, this article in the International Journal of Molecular Sciences is a great place to start. Episode credits Research by Erin Frick Audio editing and production by Scott Freedman  Photos by Patrick Dodson  Written and hosted by Jordan Carleo-Evangelist  The Short Version is produced by the Office of Communications and Marketing at the University at Albany, which is part of the State University of New York. Comments, ideas, suggestions?  Send them to mediarelations@albany.edu and be sure to put The Short Version in the subject line.

    15 min
  8. The weather machine: Kara Sulia on what AI can (and can't) tell us about weather

    12/03/2025

    The weather machine: Kara Sulia on what AI can (and can't) tell us about weather

    The longer version: For many people drawn to careers in atmospheric science, their curiosity is kindled by a formative weather event during their youth — a blizzard or flood that leaves such an impression that they spend their adult lives chasing the mysteries in the clouds and wind. But for Kara, it was as much about the math. “I knew I liked math. I knew I liked science. And I thought, ‘Meteorology seems cool,’” she reflected on her decision to pursue it as an undergraduate major. “I thought I was going to be a forecaster, but then I realized I didn’t like forecasting. But I always really liked the fundamental math, the calculus.” As she pursued her PhD in meteorology, Kara also quickly recognized the centrality of computer science to the work she hoped to do. “The coding and the computer programming was always my most favorite part of graduate school and anything I did in undergrad — writing software or writing programs. When I got my job here at UAlbany, I knew I wanted to spend more time learning the best ways to write code.  I still understand the fundamental physics, but I also just loved the programming part of it. Because I wanted to do all those things and develop software and take all this interesting data and do something with it, I started taking computer science classes. This past May, I actually earned my bachelor’s degree in computer science from UAlbany and, right before our conversation, I just came from my first master's-level class. So I’ve really been developing a robust background in computer science and seeing how I can use computer science as a tool — and AI as a tool —to enhance my research and the research of those in my center. I really like the mixture of the two, and I also realize that a lot of my peers, especially when I was an undergrad, and now a lot of students, kind of struggle with the computer science component because it wasn’t built into the curriculum. We weren’t taught coding. But literally every single thing we do, every project we have — unless you’re out there counting raindrops on leaves — you are doing some level of computer programming. And it’s not just our field. It’s any scientific field or beyond.” Kara is uniquely suited to run ASRC’s AI/machine learning lab because she understands the fundamentals of both the atmospheric and computer science at work. “You don’t want the computer model making predictions that aren’t grounded in reality,” she said. “You want the actual predictions to be tied to the laws of physics.”  Go deeper Learn more about Kara’s research interests and UAlbany's Atmospheric Sciences Research Center Go inside UAlbany’s xCITE Lab Read how Carly Sutter, a graduate student in Kara’s lab, used machine learning to analyze road conditions based on traffic camera images Explore ASRC’s history on top of Whiteface Mountain And watch a daily time-lapse video from ASRC's perch on the roof of New York Campus news Dozens of UAlbany Researchers Among World’s Top 2% of ScientistsThe Princeton Review Names UAlbany to Mental Health Honor Roll for Second YearChemistry Professor Honored with Prestigious American Chemical Society AwardUpcoming events 12/9: Holiday Greeting Card Unveiling & Community Coffee Hour12/10:Build-a-Budget Workshop with Thrive UAlbany12/13: Women’s Basketball vs. Boston UniversityExplore everything happening on campus with the University at Albany Events Calendar Episode credits Research and interview by Mike Nolan Headlines by Erin Frick Audio editing and production by Scott Freedman  Photos by Patrick Dodson  Written and hosted by Jordan Carleo-Evangelist  The Short Version is produced by the Office of Communications and Marketing at the University at Albany, which is part of the State University of New York. Comments, ideas, suggestions?  Send them to mediarelations@albany.edu and be sure to put The Short Version in the subject line.

    14 min

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Quick insights for busy people. We're helping you understand the world 15 minutes at a time. Recorded in Albany, New York, at the University at Albany, one of the most diverse public research institutions in the United States.