When: 10-1130am MDT (12-130p EST) Friday, Oct 30 2020
Where: Virtual VIS 2020
Contact Us:vis4good-org@googlegroups.com
Disclaimer: must be registered for IEEE VIS 2020 to attend (free for general attendees!)
Why a Vis for Social Good Panel?
What role (if any) should data visualization play in effecting positive change in the world?
There is a growing “techlash” that highlights the potential of data science (and data visualization) as tools for reinforcing structures of inequality and injustice.
We envision this panel to function as a way of airing these competing viewpoints and providing guidance on how the visualization community should use their power and responsibilities in the world.
Feel free to also check out our reflection on the 2019 Tutorial.
Catherine D’Ignazio is a hacker mama, scholar, and artist/designer who focuses on feminist technology, data literacy and civic engagement. She has run women’s health hackathons, designed global news recommendation systems, created talking and tweeting water quality sculptures, and led walking data visualizations to envision the future of sea level rise. Her 2020 book from MIT Press, Data Feminism, co-authored with Lauren Klein, charts a course for more ethical and empowering data science practices. D’Ignazio is an assistant professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT where she is the Director of the Data + Feminism Lab.
Ronald Metoyer is an Associate Professor of Computer Science and Engineering at the University of Notre Dame. He earned his B.S. in Computer Science and Engineering at the University of California, Los Angeles (1994) and his Ph.D. in Computer Science from the Georgia Institute of Technology (2002). His primary research interest is in human-computer interaction and information visualization, with a focus on multivariate data visualization, decision making, and narrative. He has published over 60 papers and is the recipient of a 2002 NSF CAREER Award. He also serves as Associate Dean in the College of Engineering at the University of Notre Dame.
Michelle Borkin works on the development of novel visualization techniques and tools to enable new insights and discoveries in data. Her research spans visualization and human-computer interaction with interests across disciplines including astronomy and physics, medical imaging, network visualization, perception and cognition, and accessibility. Michelle Borkin is an Assistant Professor in the Khoury College of Computer Sciences at Northeastern University. She received her Ph.D. in Applied Physics from Harvard’s School of Engineering and Applied Sciences in 2014, as well as an M.S. in Applied Physics and a B.A. in Astronomy \& Physics from Harvard University. She was previously a National Science Foundation graduate research fellow, a National Defense Science and Engineering graduate fellow, and a TED fellow. She is also recipient of a CHI 2020 Best Paper Award for the publication ``Design Study `Lite' Methodology: Expediting Design Studies and Enabling the Synergy of Visualization Pedagogy and Social Good''.
Evan Peck is an Associate Professor of Computer Science at Bucknell University. Evan's research sits at the intersection of HCI and Visualization, broadly exploring how technology can empower diverse groups of people to understand their world through data. Recently, his visualization work interviewing community members in rural Pennsylvania was the recipient of a 2019 CHI Best Paper Award. Evan also acts as an advocate for ethical approaches in core engineering curriculum. His curricular development pairs issues of bias, fairness, and social impact directly with technical content (\url{https://ethicalcs.github.io/}), and has been adopted by universities across the country. Finally, Evan serves as a member of ACM SIGCHI's Research Ethics Committee. He earned his Ph.D. in 2014 in Computer Science from Tufts University.
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Contact
Please contact ombuds@ieeevis.org if you experience, observe, or have knowledge of behavior in violation of the Code of Conduct.
Please contact inclusivity@ieeevis.org with any questions about the Code of Conduct and Inclusivity & Diversity at IEEE VIS.
