11:15 a.m. | The Graduate
Datapalooza 2019 will feature a series of one-hour panel sessions around a variety of topics to showcase the depth and breadth of data science research opportunities. These panels offer an opportunity to help guide data science research at UVA and beyond.
During the first half of the panel, each speaker will present on their research around the topic, followed by a moderated session including comments and questions from the audience, then a discussion led by the moderator with the panelists. The second half of the panel will be used for a dialog with the audience around key question(s) that will inform future research directions for the School of Data Science. A notetaker will provide a summary that is intended to inform school research direction and be publicly posted after the meeting.
DATA & ETHICS
Ballroom | Ninth Floor
The data revolution has transformed the conduct of some approaches to social science and medical research through the incorporation of data science, but ethical dimensions should not be compromised. For example, social science researchers can repurpose existing administrative and opportunity data without consent or awareness by those providing the data. Even in medical research, where the consent process is highly regulated, data science now makes it possible to repurpose the data for medical discoveries that were not even known to be possible when the data were collected. Discussions about ethics need to be a natural part of every research project, both in terms of research ethics and ethical studies. This panel will discuss various aspects of the necessity of thinking about ethics for data science.
- Stephanie Shipp (moderator), Deputy Director and Professor, Social and Decision Analytics Division, UVA Biocomplexity Institute & Initiative
- Jarrett Zigon, William and Linda Porterfield Chair in Bioethics and Professor, Anthropology, and Director of Bioethics Program, UVA College of Arts & Sciences; Director, Center for Data Ethics and Justice, UVA School of Data Science
- Phillip R. Boyce, JD, Senior Research Program Manager, UVA Center for Diabetes Technology
DATA & SOCIAL SCIENCE
Sheep Dog Cafe | First Floor
All of the social sciences have long traditions of using data to draw conclusions, and while modern research still relies heavily on traditional methods such as hypothesis testing, experimental design, ANOVA, and linear regression, more and more work uses cutting-edge techniques in machine learning and AI. How can the social sciences best use these methods to advance research? And how should the social sciences reconsider methods training and evaluation, and contend with issues regarding data ethics?
- Jon Kropko (moderator), Assistant Professor, UVA School of Data Science
- Ines Levine, Associate Professor, Political Science, UC-Irvine School of Social Sciences
- Hudson Golino, Assistant Professor, Psychology UVA College of Arts & Sciences
DATA & DIGITAL HUMANITIES
Game Room | Second Floor
In this session we will hear from the directors of UVA’s two main digital humanities units, the Institute for Advanced Technologies in the Humanities and the Scholars’ lab, about research and ideas related to the intersection between data science and digital humanities. We will also discuss possible future collaborations between digital humanities and data science in the context of the mandate of the new School of Data Science to be genuinely and broadly interdisciplinary.
- Raf Alvarado (moderator), Program Director and General Faculty, UVA School of Data Science
- Allison Booth, Professor, English, and Academic Director, Scholars' Lab, UVA College of Arts & Sciences
- Worthy Martin, Professor, Computer Science, UVA School of Engineering and Applied Science; Director, Institute for Advanced Technology in the Humanities
DATA & OPEN SCIENCE
Studio A | The Corner Building
This beginner session we introduce the ideas of data, structured data, open data, and FAIR data, Panelists explain what they are, why they matter, and how communities can wrangle data to the mutual benefit of all in the public data commons using the tool OpenRefine.
- Lane Rasberry (moderator), Wikimedian-in-Residence, UVA School of Data Science
- Sherry Lake, Scholarly Repository Librarian, UVA Libraries
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Daniel Mietchen, Data Scientist, School of Data Science