UVA Data Points
UVA School of Data Science
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Top 10 UVA Data Points Episodes
Goodpods has curated a list of the 10 best UVA Data Points episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to UVA Data Points for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite UVA Data Points episode by adding your comments to the episode page.
12/01/23 • 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)
1 Listener
06/20/23 • 40 min
In this episode we’re looking at the past, present, and future of artificial intelligence in higher education.
To explore this topics we’re featuring a conversation between Phil Bourne, the dean of the UVA School of Data Science, and Jeffrey Blume, the Associate Dean for Academic and Faculty Affairs, also at UVA Data Science.
Jeffrey and Phil discuss the recent trends in artificial intelligence and they look at how this will impact the student experience, the faculty and staff experience, and the research landscape in higher education.
The Future of Data Science Education | Live from Datapalooza
UVA Data Points
01/08/24 • 61 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.
Brain Science is Data Science
UVA Data Points
03/01/23 • 45 min
This episode explores the intersection of neuroscience and data science with three experts in the field, Drs. John Darrell van Horn, Tanya Evans, and Teague Henry. As we know, the brain is complicated. People have been charting paths through the brain for decades, making breakthroughs and discoveries that have changed the world. In recent years though, new methodologies in brain research have made significant impacts. Advances in computing power, as well as techniques like machine learning, neural networks, and computer vision, have allowed researchers to ask questions and make discoveries that were not possible even ten years ago. Given these new approaches to studying the world’s most complicated organ, one could say that brain science is data science. Our guests make a compelling case.
05/08/23 • 59 min
This episode was recorded during the Miller Center’s 2023 William and Carol Stevenson Conference, U.S. China Tech Competiton: Has Democracy Met its Match?
For more info on this conference, as well as to watch the video versions, follow this link: https://millercenter.org/news-events/events/us-china-tech-competition-has-democracy-met-its-match
This episode features the first panel discussion from the conference entitled:
Apps, platforms, and surveillance
How might apps and other technology platforms play a role in Chinese government data-gathering efforts? What are potential policy responses to the increasingly complex data flows between the United States and China? This panel addresses the long-term stability of U.S. technology infrastructure and related concerns for U.S. national security.
Josh Chin, Kara Frederick, Shanthi Kalathil, Aynne Kokas (moderator)
08/22/23 • 75 min
Advances in Sports Analytics
UVA Data Points
12/01/22 • 57 min
For our exploration of Analytics, we are diving into the world of sports. 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.
Rebroadcast | Advances in Sports Analytics
UVA Data Points
12/21/23 • 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 AI Playbook | A Conversation with Eric Siegel
UVA Data Points
02/06/24 • 72 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
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FAQ
How many episodes does UVA Data Points have?
UVA Data Points currently has 24 episodes available.
What topics does UVA Data Points cover?
The podcast is about Mathematics, Podcasts, Technology and Science.
What is the most popular episode on UVA Data Points?
The episode title 'The Future Impact of AI on Society Panel | Live from Datapalooza' is the most popular.
What is the average episode length on UVA Data Points?
The average episode length on UVA Data Points is 50 minutes.
How often are episodes of UVA Data Points released?
Episodes of UVA Data Points are typically released every 20 days, 5 hours.
When was the first episode of UVA Data Points?
The first episode of UVA Data Points was released on Aug 24, 2022.
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