Datapalooza 2022

Datapalooza is an annual conference hosted by the University of Virginia’s School of Data Science that brings together more than 500 attendees from across higher education, industry, and the greater data science community. First launched in 2015, Datapalooza has evolved from a research exposition to a platform where anyone interested in data science can connect with experts and expand their knowledge and skill sets. Designed for students, faculty, professionals, and friends of data science, Datapalooza aligns with the core values of the School of Data Science—to further discovery, share knowledge, and make a positive impact on society through collaborative, open, and responsible data science research and education. 

Watch Event Recordings

NOTES:

• Only events in the Ballroom will be livestreamed.
• Virtual talks can be accessed through the Zoom links below.
• Pre-event program seating is limited, and all lunch events are on a first-come, first-served basis.

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Pre-Event Program

9:00 a.m.-4:00 p.m.

Registration and Check-In | 3rd Floor Lobby

9:00-9:30 a.m.

Breakfast | Main Lounge

9:30-10:15 a.m.

Welcome by the Dean | South Meeting Room
Growing Data Science at UVA | South Meeting Room

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Program Agenda

10:30-11:30 a.m.

Concurrent Research Lightning Talks

Data for Health Equity | Ballroom

• Examining Health Disparities and Vulnerable Populations Through Analysis of Public Datasets and Medical Record Data Through the National COVID Cohort Collaborative (N3C)
  Suchetha Sharma, Data Scientist, School of Data Science, UVA
• The Disability Community as a Health Disparity Population: Rationales for and Approaches to Engagement
  Rupa Valdez, Associate Professor of Public Health Sciences and Engineering Systems and Environment, UVA
• An International Study of the Prevalence and Structure of Neurobehavioral Symptoms in Individuals with Long COVID
  Paul B. Perrin, Professor of Data Science and Psychology, UVA

Critical Data Studies | South Meeting Room

• Critical Data Science and the Interdisciplinary Imagination 
  Renée Cummings, Assistant Professor of Data Science, UVA
• Critical Data Studies Approaches to the Future of Money and Payment 
  MC Forelle, Assistant Professor of Engineering & Society, UVA
• Data as Representation 
  Rafael Alvarado, Associate Professor of Data Science, UVA

Data in Design | Virtual 
Sponsored by Capital One

• Connected Reality: Visualizing Networks with Interactivity 
  Alexander J. Gates, Assistant Professor of Data Science, UVA
• Learning from Interaction Traces: Representations, Models, and Predictions
  Alvitta Ottley, Assistant Professor of Computer Science and Engineering, Washington University in St. Louis
• Addressing Data Overload with Collaborative and Explainable AI 
  Sara Riggs, Associate Professor of Systems Engineering, UVA

11:30-11:45 a.m.

Break

11:45 a.m.-12:45 p.m.

Concurrent Research Lightning Talks

Data in Sports Science | Ballroom
Sponsored by the Sports Analytics Club Program

• Geometric Data Analysis in Sports
  Stephen Baek, Associate Professor of Data Science, UVA
• Sports & Design: Reframing Sports Science Within the 4+1 Model
  Natalie Kupperman, Assistant Professor of Data Science, UVA
• Lessons Learned (Again) Via Sports Analytics 
  William T. Scherer, Professor and Associate Chair of Engineering Systems and Environment, UVA

Data in Neuroscience | South Meeting Room

• Brain Science is a Data Science 
  John Darrell Van Horn, Professor of Psychology and Data Science, UVA
• Interplay Between Dementia and Seizures 
  Ifrah Zawar, Assistant Professor of Neurology, UVA
• Consequences of Network Thresholding on Graph Theoretic Summaries of Functional Connectivity Data 
  Teague Henry, Assistant Professor of Psychology and Data Science, UVA

Data in Environmental Resilience | Virtual

• Data Science of Hyperspectral Imaging 
  William Basener, Professor of Data Science, UVA
• Observing Air Pollution Inequality in Cities From Space 
  Sally Pusede, Assistant Professor of Environmental Sciences, UVA
• Trustworthy Representation Learning for Fish Identification 
  Sheng Li, Assistant Professor of Data Science, UVA

12:45-1:45 p.m.

Lunch

• Roundtable Discussions | Ballroom
• MSDS Admissions Open House | South Meeting Room
• PhD Admissions Open House | Room 389

1:45-3:00 p.m.

The Future of Academic Data Science | Ballroom
Co-sponsored by the Academic Data Science Alliance

Introduction: 
Jim Ryan, President, University of Virginia

Panel Discussion:

• Phil Bourne, Dean, School of Data Science UVA
• Doug Hague, Executive Director, School of Data Science, UNC-Charlotte
• H.V. Jagadish, Director, Michigan Institute for Data Science, University of Michigan
• Micaela Parker, Executive Director, Academic Data Science Alliance (moderator)

3:00-3:45 p.m.

Careers in Data Science Panel | Ballroom

• Brant Horio, Fellow, Applied Research & Partnerships, LMI
• Kelsey McDonald, Director, Ticket Analytics, Brooklyn Nets, BSE Global
• Miriam Friedel, Senior Director, Machine Learning Engineering, Capital One
• Reggie Leonard, Associate Director for Career Connections and Community Engagement, School of Data Science, UVA (moderator)

3:45-4:00 p.m.

Break

4:00-4:15 p.m.

Data Entrepreneurship Challenge Launch | Ballroom

4:15-5:00 p.m.

Closing Keynote: Cathy O'Neil | Ballroom

5:00-6:00 p.m.

Closing Reception | South Meeting Room

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Keynote Speaker: Cathy O'Neil

This year's keynote speaker is Cathy O'Neil, a data scientist and mathematician who is the author of the New York Times bestseller Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. An algorithm audit consultant, O’Neil partners with Fortune 500 companies, government agencies, and nonprofits to determine whether the algorithms they use for data analysis and day-to-day operations are truly ethical. She is a regular contributor to Bloomberg Opinion and founder of the blog mathbabe.org. Her most recent book is The Shame Machine: Who Profits in the New Age of Humiliation. As a visiting scholar with the School of Data Science, O'Neil will develop and pursue data science projects, programs, and initiatives, collaborating with students and participating in discussions with local and regional communities about her work.  

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