UVA School of Data Science

UVA Data Points

A Mathematics , Science and Technology podcast

#19 in Mathematics · 🇮🇹 #40 in Mathematics · 🇺🇸

About the show

UVA Data Points is a data science podcast from the University of Virginia School of Data Science — the nation's first school of data science. Each episode features UVA faculty, researchers, and leading experts in conversation about the topics defining the field: artificial intelligence, machine learning, data ethics, policy, health data, and responsible innovation. Whether you're a student, researcher, or professional, UVA Data Points brings you in-depth perspectives from the people advancing data science — and shaping how it impacts society. Available on Apple Podcasts, Spotify, Amazon Music, and more. Subscribe and join the conversation.

Newest episodes

AI Responsibility and Culpability

Oct 23, 2026 41 min

A self-driving car swerves. Someone is hurt, but who’s to blame? The company? The driver? AI can’t be put on trial. It can’t go to jail, and it can’t feel remorse. So when AI makes a lethal mistake, who answers for it? That question drives Culpability, an Oprah Book Club Selection by Bruce Holsinger, professor of English at the University of Virginia. He’s joined today by David Danks, professor of philosophy and data science, also at the University of Virginia. Listen to a medieval literature expert and an AI ethicist discuss this controversial topic, because long before the age of algorithms, scholars were already asking who is responsible for our choices and what we owe to the things we create. Chapters (00:00:01) - Introduction and Guests(00:00:56) - Culpability: The Novel's Premise(00:03:48) - Complexity of Moral Responsibility(00:06:06) - Can AI Be Held Responsible or Punished?(00:07:08) - The OpenAI Hacking Case(00:09:21) - Rethinking Punishment for AI Systems(00:10:42) - Medieval Roots of 'Culpability' and Shared Guilt(00:12:12) - Distributed Responsibility in AI Development(00:14:19) - Design Blind Spots: Testing AI in the Real World(00:17:15) - Waymo, Safety Stats, and the Jevons Paradox(00:22:37) - Opting Out: Choice and Complicity with AI(00:26:50) - Autonomous Weapons and War(00:32:44) - Surveillance, Power, and Accountability(00:35:03) - Art's Role in Revealing Hidden Systems(00:36:26) - What's Next: New Books and Medieval Theology(00:38:48) - Future of AI: Predictions and Hopes(00:40:56) - Closing Remarks

The Science Behind Lung Cancer Screening

Sep 25, 2026 43 min

Lung cancer remains one of the leading causes of cancer death, in part because it is often detected too late. But deciding who should be screened is more complicated than it might seem. In this episode of UVA Data Points, Jeffrey Blume, interim Stephenson Dean of the University of Virginia School of Data Science, and Melinda Aldrich, a cancer epidemiologist at Vanderbilt University, explore how data science is helping researchers better understand lung cancer risk and improve screening decisions. They discuss the role of smoking history, genetics, and environmental exposures; the risks and benefits of screening; and how emerging tools such as AI, medical imaging, biomarkers, and wearable technology could shape the future of early detection. The conversation also examines a fundamental data science challenge: How do you bring together complex and imperfect data to identify the people most likely to benefit from screening, while avoiding unnecessary tests and their potential harms? Chapters (00:00:02) - Introduction: Who Should Be Screened for Lung Cancer?(00:01:16) - Meet the Experts: Jeffrey Blume and Melinda Aldrich(00:03:51) - Why Lung Cancer Screening Is So Complicated(00:06:51) - The Risks and Benefits of Lung Cancer Screening(00:08:25) - How Data Science Helps Predict Lung Cancer Risk(00:10:34) - Environmental and Occupational Exposures(00:12:33) - Geography, Radon, and Local Risk Factors(00:14:43) - Funding, Grants, and Building Research Teams(00:16:47) - Genetics and Nicotine Metabolism Differences(00:19:49) - Modeling Individual Risk Factors(00:22:25) - Balancing Benefits and Harms of Screening(00:24:39) - Genetic Markers: BRCA Comparison and Biomarkers(00:27:44) - Blood Tests and Imaging Integration(00:28:53) - Imaging Data, AI, and Prediction Models(00:33:19) - International Screening Guidelines Comparison(00:34:40) - Future Directions: Wearables and New Data Sources(00:36:52) - Machine Learning Challenges and Attribution of Risk(00:41:41) - Closing Tho...

The Future With AI: Policies, Ethics, and Governance

Jun 17, 2026 47 min

In this episode, we explore the future of artificial intelligence through the lens of policy, ethics, and governance; examining how this rapidly evolving technology is reshaping society and the responsibilities that come with it. Joining the conversation are Renée Cummings, Professor of Practice in Data Science and a leading voice in AI ethics, and Mona Sloane, Assistant Professor of Data Science and Media Studies, whose work focuses on the intersection of technology and society. Together, they share insights on how we can guide the development of AI in ways that are responsible, equitable, and grounded in the public interest. Stay connected with UVA Data Points and UVA School of Data Science Catch all our latest episodes of UVA Data Points here: https://uvadatapoints.castos.com Learn more about the UVA School of Data Science: https://datascience.virginia.edu Chapters (00:00:50) - When Do You Use AI in Your Work?(00:05:02) - AI and the Epistemic Crisis(00:05:46) - Is ChatGPT the End All Be All of AI?(00:09:06) - AI's Social Infrastructure(00:17:37) - What Can I Do With a Generative AI System?(00:27:43) - The Need for Ethical AI Use(00:28:44) - Policy Conversations About AI(00:33:00) - Hype Around Technological Innovation vs. Reality(00:34:00) - AI's Lifeblood Is Data(00:34:40) - Human Risk vs. Machine Risk(00:38:08) - Looking for a Job in an AI-Mediated World(00:40:39) - How AI Is Affecting Recruitment(00:45:47) - Career Impacts of AI

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All episodes

AI Responsibility and Culpability

Oct 23, 2026 41 min

The Science Behind Lung Cancer Screening

Sep 25, 2026 43 min

The Future With AI: Policies, Ethics, and Governance

Jun 17, 2026 47 min

Forging a Career in Data Science

May 13, 2026 54 min

Interested in what a career in data science can look like? Here, we’re joined by two members of the School of Data Science Advisory Board: Heidi Lanford, co-founder of NavAlytix AI and former Chief Data Officer at Fitch Group, and Kane Geyer, Principal at PwC and most recently the leader of the U.S. and Global Chief Data Office. In conversation with Reggie Leonard from UVA’s School of Data Science, they share perspectives shaped by decades of experience leading data and AI initiatives across global organizations. Our Guests Heidi Lanford is an award-winning global executive with a track record of transformative leadership and operational expertise. She is the co-founder of NavAlytix AI, a technology startup that is focused on the adoption, impact and outcomes of AI. She was most recently the pioneering Chief Data Officer at Fitch Group (parent of Fitch Ratings), a Hearst Company. She joined Fitch from Red Hat (IBM), where she led their enterprise data, analytics and AI strategy. She has earlier executive leadership experience at Avaya, WPP and PwC, across the Americas, Asia, and Europe, in both B2B and B2C companies. Heidi is a frequent keynote speaker on AI strategy and transformation. She holds a BA in mathematics and statistics from the University of Virginia. She is a strategic advisor to Domino Data Labs and several other early-stage AI companies. She was previously an advisor to HearstLab, which provides investment and services to early-stage, women-led technology startups. Kane Geyer is a Principal at PwC where he has spent his career working with clients and internal stakeholders to transform businesses by integrating leading-edge decision-making capabilities and building high impact data and analytics teams. In his current role as leader of the U.S. and Global Chief Data Office, Kane oversees the evolution of the enterprise data and knowledge strategy to design and develop analytical capabilities for commercial and internal purposes. Serving in this ca...

Digital Twins

Apr 3, 2026 58 min

In this episode of UVA Data Points, we explore the rapidly evolving world of digital brain twins; personalized, data-driven models of the brain that could revolutionize medicine and neuroscience. Joining the conversation are two leading experts: Dr. Randy McIntosh, a pioneer in brain network analysis, and Dr. Emiliano Ricciardi, an expert in cognitive neuroscience and neuroimaging. Together, with Jack Van Horn, Professor with the School of Data Science and Department of Psychology, they'll dive into how these digital replicas of the brain could change the way we understand cognition, disease, and treatment. Chapters (00:01:30) - Cognitive Science Podcast(00:02:16) - What Exactly constitutes a Digital Brain Twin?(00:13:12) - What are the computational requirements for a synthetic brain?(00:16:53) - The computational requirements of the Digital Twin(00:28:05) - Do Digital Twins Play a Role in Estimating Brain Age?(00:34:09) - Ethical Implications of Digital Twins(00:38:01) - Ethical Issues of the Digital Twin(00:44:04) - Could a Digital Twin Brain Ever Become Conscious?(00:51:30) - Digital Brain Twins: The Future of Science(00:56:30) - Digital Brain Twins

Defensibility in Human Trafficking

Feb 24, 2026 33 min

Would you be able to recognize the subtle red flags that someone is being controlled, exploited, or groomed? In this conversation, we will dive into the complexities of understanding human trafficking and the role AI is playing to help law enforcement identify traffickers and their victims. Our guests are Kimberly Adams, who leads the strategic architecture of AINA Tech, and Shweta Jain, AINA’s Co-Founder and Technical Architect, whose background in digital forensics and cybersecurity shapes the system’s design. The conversation is led by Adam Tashman, Associate Professor of Data Science at UVA. Together, they discuss designing AI for defensibility, integrity, and institutional trust. Adam Tashman is an associate professor of data science, Director of the Data Science Capstone Program, and former Director of the Online M.S. in Data Science Program. Courses taught include reinforcement learning, distributed computing, programming for data science, mathematical finance, actuarial statistics, probability and statistics, and survival analysis. Research interests include AI in personalized medicine, digital health, computer vision, large language models, and quantitative finance. Kimberly Adams leads the strategic framing and execution architecture of AINA. Her work focuses on building AI systems that can withstand legal and institutional scrutiny, particularly in high-stakes environments such as human trafficking investigations. She has worked alongside DOJ-funded task forces and engaged with federal stakeholders to translate governance, procurement, and evidentiary requirements into system design constraints. Through programs such as NSF I-Corps and collaborations with academic partners, she structures how AINA retires institutional risk before deployment. Shweta Jain leads the technical architecture of AINA, focusing on defensibility, constrained inference, and system integrity. Her background in digital forensics and cybersecurity informs the development of AI...

Data Protection in Humanitarian Action

Dec 16, 2025 41 min

In this episode, we explore data governance in the humanitarian sector. Our guests are Massimo Marelli, Head of the Data Protection Office at the International Committee of the Red Cross, and Ana Beduschi, a Professor of Law and Strategic Lead on the Fair and Inclusive Society at the Institute for Data Science and Artificial Intelligence (IDSAI) at the University of Exeter. The conversation is led by Aaron Martin Assistant Professor of Data Science here at UVA. Together, they discuss topics from the book Data Protection in Humanitarian Action: Responding to Crises in a Data-Driven World. Of note, they share insights on how data regulation is shaping privacy and security for vulnerable communities and the role of international frameworks in addressing these challenges. We're excited to welcome Margaux Jacks as the new host of our podcast. Margaux is the Creative Manager at the UVA School of Data Science, and producer of the podcast. She is thrilled to bring conversations about the world of data science to our listeners. We are incredibly grateful to Monica Manney for her wonderful work on the previous episodes. Chapters (00:00:03) - UVA Data Points: Data Governance in the humanitarian sector(00:00:49) - The Impact of Data Protection in Humanitarian Action(00:02:26) - The Digital Future of the Humanitarian Sector(00:04:56) - Data Protection in the Humanitarian World(00:09:54) - The role of data in the humanitarian sector(00:12:57) - Immunity in the Data Protection Sphere(00:16:07) - The Relationship between Data and Humanitarianism(00:19:53) - Data Protection for the Humanitarian Sector(00:24:59) - The Future of Data Protection in the humanitarian sector(00:29:34) - Regional engagement in data protection law(00:31:45) - Regional networks in the Digital world(00:36:08) - The Future of Data Protection(00:39:24) - On data protection in humanitarian programming

Data Meets Art

Nov 20, 2025 37 min

Here we explore the intersections of data, art, and storytelling. Our guest, Nathalie Miebach, is an internationally-recognized data artist and the School of Data Science’s inaugural Artist-in-Residence. Using materials like reed and paper, she transforms complex datasets into woven sculptures and musical scores, inviting us to view and even hear data in new ways. Joining her is Alex Gates, assistant professor of data science at the University of Virginia research examines how patterns of connection shape creativity, innovation, and discovery. Together, they discuss what happens when data meets art. Chapters (00:00:01) - Data Points: When Art Meets Science(00:00:46) - Ian and Nicole: Introduction(00:06:18) - How Stories Get Made(00:09:59) - Basket Weaving Visualizing Data(00:20:33) - Wonders of the World(00:25:47) - Data and Artist Residency(00:27:50) - Breaking Habits in Creativity(00:30:06) - What is Data Science: Craftsmanship?(00:34:50) - How Art Affects Our Understanding of Data

Extreme Physics

Oct 22, 2025 31 min

In this episode, we explore how data science is helping researchers simulate and understand some of the most extreme physical events on Earth, from floods in Texas to hypersonic flight. Our guests are Stephen Baek, a leading expert in geometric deep learning and associate professor of data science at the University of Virginia, and Jack Beerman, a Ph.D. student whose work is already shaping real-world applications. Together, they discuss how AI is transforming fields like weather forecasting, materials design, sports performance, and military innovation—and why graduate researchers like Jack are essential to moving this work forward.

Trustworthy AI

Sep 19, 2025 26 min

Here we dive into one of the most timely and important topics in tech: Trustworthy AI. What does it really mean for artificial intelligence to be “trustworthy”? And why should it matter to you? To help us unpack these questions, we’re joined by Farhana Faruqe, a data scientist, researcher, and entrepreneur, specializing in research related to Trustworthy AI, and Dr. Larry Medsker, a leading expert in AI ethics and policy. With experience in neural networks, AI systems, and policy-making, the two bring a wealth of insight into how we can, and must, develop artificial intelligence that is safe, ethical, and accountable.

Brain Organoids: Unlocking Mysteries of Neuroscience

Aug 18, 2025 48 min

In this episode, we’re diving into a fascinating intersection of cutting-edge science and data innovation. As technology continues to evolve, researchers are increasingly turning to brain organoids, (miniature, lab-grown models of the human brain) to unravel some of the most complex mysteries of neuroscience. We’re joined by three brain organoid experts: Thomas Hartung, Professor of Environmental Health and Engineering at Johns Hopkins University; Jack Van Horn, Professor of Data Science and Psychology at the University of Virginia; and Lulu Jiang, Assistant Professor of Neuroscience, also at the University of Virginia. Together, they’ll shed light on how brain organoid technology is reshaping our understanding of the brain, and how data science is playing a crucial role in unlocking its secrets. Chapters (00:00:51) - Brain Organizations(00:05:54) - Brain Organoids for drug discovery and immunology(00:13:53) - Alzheimer's disease in the organoid system(00:15:49) - What are the standards in the field of brain organoids?(00:22:44) - Big Data and Intelligence in the Brain(00:26:50) - Alzheimer's disease, the human brain(00:30:39) - The computational twin of the brain(00:37:23) - The quest for precision medicine in the brain(00:42:17) - The human brain in an organoid(00:43:21) - Will Brain Derived Organoids Replace Animal Models in Neurodegener

Venture Meets Mission: A Conversation with Arun Gupta

Jun 17, 2025 57 min

Explore how entrepreneurship and innovation can intersect with public service to drive meaningful impact. Join Dean Philip Bourne and the UVA School of Data Science community for an inspiring conversation with Arun Gupta, CEO of the NobleReach Foundation and author of Venture Meets Mission. Drawing from his extensive experience, Gupta will share insights on creating ventures with a mission-driven focus, discuss trends shaping the future of public service innovation, and offer practical advice for students aspiring to make a difference in this space. Whether you're passionate about social impact, curious about launching your own venture, or exploring career paths that combine innovation and public good, this conversation is not to be missed.

Women in Data Science, Charlottesville

May 20, 2025 1 hr 2 min

In this episode, we welcome you to the 2025 Women in Data Science Charlottesville event hosted at the University of Virginia School of Data Science. WiDS Charlottesville seeks to increase the participation of women in data science and feature outstanding women doing outstanding work. Leading the conversation is Lisa Bowers, a former executive with Genentech/Roche and current director of UVA’s Enterprise Studio. She is joined by our keynote speaker Lexi Reese, CEO and Co-Founder of Lanai Software and UVA alumna, who brings experience spanning tech giants like Google and Gusto. Drawing from their wealth of knowledge at the intersection of innovation and enterprise, Reese and Bowers share their unique perspectives on how data science is shaping the future of work and innovation. From empowering the next generation of data scientists to the real-world impact of AI, this fireside chat dives deep into what it means to build meaningful, transformative careers in data science.

Exploring the Protein Universe via AI

Apr 23, 2025 30 min

Here we explore how data science is revolutionizing our understanding of protein structures, with a special focus on the exciting developments in protein folding and evolution. We’re joined by two experts in the field: Philip Bourne, the founding dean of the UVA School of Data Science, and Cam Mura, a biomolecular data scientist. From new tools like DeepUrfold to the future of biomedical applications, Bourne and Mura provide a unique look into how cutting-edge technology is transforming the world of molecular biology.

The Transformative Role of AI in the Credit Industry

Mar 18, 2025 42 min

UVA School of Data Science graduates pursue many career paths, including government, health care, technology, retail, and... finance. In this episode, we hear from two UVA data science alumni who put their data science degrees to work every day in their roles at Octus, a financial services company that uses data to provide insights to its clients in banking and legal services. They discuss the integration of AI into various industries, the challenges of information overload, and the role of human expertise.We welcome Charu Rawat and Yihnew Eshetu, who earned their M.S. in Data Science degrees from UVA in 2019 and 2021, respectively, and Ben Rogers, vice president of AI and advanced analytics at Permira.

Surviving the Data Deluge

Feb 20, 2025 36 min

One of the most pressing challenges in our increasingly data-driven world is the Data Deluge—the overwhelming flood of information that we generate and record every single day. With us are three experts from the University of Virginia’s School of Data Science. Phil Bourne, a professor of biomedical engineering and the founding dean of the school of data science, is joined by Terence Johnson and Alex Gates, both assistant professors of data science. Together, they have been exploring innovative methods to make sense of the vast oceans of data we’re all swimming in. This episode unpacks the challenges of the data deluge—what it means for businesses, researchers, and society at large—and explore the strategies we can use to navigate it. How do we make sense of so much information? How do we ensure the ethical use of this data? And what opportunities does this overwhelming flood of data open up for the future?

Transforming Spotify Data Into Art

Jan 21, 2025 43 min

Many of us look forward to our Spotify wrapped at the end of the year. It's fun to see your whole year in music reflected back to you in the form of auras and moods and, of course, ranked lists, all powered by the cold, hard data of our listening habits. But there's so much more data available to visualize as art. That's what our guest, Pete Cybriwsky does. Pete is an entrepreneur and an award winning artist building at the intersection of data and art. In this podcast, you'll hear him in conversation with Lane Rasberry wikimedian in residence at the UVA School of data science. If you want to learn more about Pete's work, check out his new app Day By Data. To turn your spotify data into art, visit ngenart.com.

Misinformation and Image Manipulation in a Polarized America

Dec 20, 2024 46 min

In recent elections, the rise of misleading content—ranging from manipulated images to false narratives—has sparked growing concerns about misinformation and disinformation. How does this wave of deceptive content deepen political divides, shape voter perceptions, and erode trust? And what does it mean for our access to reliable information? Last month, the UVA Karsh Institute of Democracy and the School of Data Science co-hosted an in-depth discussion to ask these pressing questions and uncover the challenges at the intersection of truth, trust, and democracy. Guests included Mona Kasra, associate professor of digital media design at the University of Virginia; Francesca Tripodi, associate professor at the University of North Carolina Chapel Hill and David Nemer, assistant professor in media studies at the University of Virginia. If you would like to learn more about the Karsh Institute of Democracy or the School of Data Science, please visit karshinstitute.virginia.edu or datascience.virginia.edu.

¡Viva la Ciencia de Datos en UVA!

Nov 14, 2024 49 min

Data science is an incredibly diverse and global field of study and practice. In order to tackle some of our most challenging issues ranging from climate change to cognition, we need data and data scientists from all over the world to make advances in research, technology and innovation. To talk about their research interests and the importance of having diverse, global perspectives in the field of data science, this episode of UVA Data Points features a conversation by Javier Rasero, Assistant Professor of Data Science, and two University of Virginia data science students: Marco Gutiérrez Chavezis a first-year Ph.D. student from Peru and Mercedes Mora-Figueroa de Liñán is an M.S. in Data Science student from Spain.

Rebroadcast | Future Home of the UVA School of Data Science

Apr 19, 2024 37 min

The UVA School of Data Science was formed in September 2019 and has since grown in its collaborations, partnerships, program offerings, and teaching and research personnel. We are now constructing a new facility that will house the School of Data Science at the University of Virginia. The new building is in the first phase of development and, once complete, will link the University's Central Grounds with the athletic fields and North Grounds. The 60,000-square-foot building is the future home of the UVA School of Data Science and will serve as the gateway to the new Emmet-Ivy Corridor and the Discovery Nexus. This bonus episode is a conversation between UVA architect Alice Raucher and Mike Taylor, a principal with Hopkins Architects. Both Alice and Mike have been instrumental in the building’s design. Alice has also played a key role in the development of the Ivy Corridor. Mike and Alice take a deep dive into the thought process behind the building’s design, its relationship to the University and its history, the land's unique topography, and its significance to future projects along the Ivy Corridor. Links: Hopkins Architects School of Data Science New Building Website

The AI Playbook | A Conversation with Eric Siegel

Feb 6, 2024 1 hr 12 min

In his new book, The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, Eric Siegel offers a detailed playbook for how business professionals can launch machine learning projects, providing both success stories where private industry got it right as well as cautionary tales others can learn from. Siegel laid out the key findings of his book in our latest episode during a wide-ranging conversation with Marc Ruggiano, director of the University of Virginia’s Collaboratory for Applied Data Science in Business, and Michael Albert, an assistant professor of business administration at UVA's Darden School. The discussion, featuring three experts in business analytics, takes an in-depth look at the intersection of artificial intelligence, machine learning, business, and leadership. http://www.bizML.com https://www.darden.virginia.edu/faculty-research/centers-initiatives/data-analytics/bodily-professor https://pubsonline.informs.org/do/10.1287/LYTX.2023.03.10/full/ https://www.kdnuggets.com/survey-machine-learning-projects-still-routinely-fail-to-deploy CRISPDM: https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining CRM: https://en.wikipedia.org/wiki/Customer_relationship_management

The Future of Data Science Education | Live from Datapalooza

Jan 8, 2024 1 hr 1 min

This panel delves into how the faculty at UVA's School of Data Science are actively working to craft a liberal arts curriculum suitable for the digital age, one that not only adapts to but embraces changes in technology and practice. The panel discusses the future of data science education, including in K-12, the school’s guiding philosophy for its undergraduate and graduate programs (minor, B.S., online and residential M.S., Ph.D.), and the merits as well as challenges that arise when constructing a new educational curriculum for a new discipline.

Rebroadcast | Advances in Sports Analytics

Dec 21, 2023 54 min

Because of advances in machine learning, wearable technology, and computer vision, the field of sport analytics is a whole new game. This episode gets into the details on what is new, the impact of analytics and technology on athletes and sports, as well as the ethics surrounding its implementation. Three experts from the University of Virginia School of Data Science met to discuss this exciting topic: Natalie Kupperman, Stephen Baek, and Don Brown. On behalf of everyone here at the School of Data Science, thank you and we’ll see you next year

The Future Impact of AI on Society Panel | Live from Datapalooza

Dec 1, 2023 58 min

Artificial intelligence has the potential to change our societies, economies, and political systems in both intentional and unintended ways. While it is difficult to understand the full extent of what the long-term impacts may be, we have enough shared knowledge and expertise to predict the likely shapes that these changes may take—both for better and for worse. More importantly, we should ask ourselves what kind of future we want AI to help us create: what we want from the future of AI should ultimately determine the future of AI. This panel will bring together experts to discuss the intersection of AI and society and offer suggestions for how AI might work within a just, inclusive, sustainable, and fair digital future. Panelist Farhana Faruqe, Assistant Professor of Data Science Sarah Lebovitz, Assistant Professor of Commerce Larry Medsker, Research Professor, George Washington University Mar Hicks, Associate Professor of Data Science (moderator)

A View From Space | How LiDAR and Hyperspectral Imaging are Changing Science

Nov 2, 2023 41 min

The latest episode of UVA Data Points features Don Brown, the senior associate dean for research at the School of Data Science, and professor Bill Basener as they discuss remote sensing, which is the process of collecting data about an object without contacting it. The discussion traces the history of remote sensing, its many applications, and the challenges involved in gathering accurate information. The two take an in-depth look at Basener’s research, including his work with LiDAR and hyperspectral imaging. Basener also explains the one aspect of this burgeoning technology that keeps him up at night.

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AI Responsibility and Culpability

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Podcast details

Created by: UVA School of Data Science
Status: Active
Latest episode: Oct 23, 2026
Episodes: 25
Release period: Monthly
Avg. episode length: 46 min
Explicit: No
Language: English

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