Rapid Response Data Science

The COVID-19 pandemic has surfaced a spectrum of data science challenges and opportunities. Despite demonstrating strengths in generating new data, models, and outputs, the community has found itself insufficiently prepared to contribute in a coordinated fashion to the broader effort, across regional, national, and global scales. There is a pressing need for a convergence of agility and coordinated capacity, with academia, government, industry, and community organizations, each bringing complementary resources to bear.

A networked approach means standing up shared infrastructure, preparedness training, teams that act interoperably with swift coordination

This joint session of the ADSA Annual Meeting and the Data Science Leadership Summit will act as a launching point for partnership commitments and future coordination to establish the foundation and strategic path toward a data science rapid response to crises.

Meet our panelists

Lara Campbell

Lara Campbell

Dr. Lara Campbell is a Program Director for the NSF Convergence Accelerator Program in the Office of Integrative Activities at the U.S. National Science Foundation (NSF). The Convergence Accelerator is a new organizational structure and activity within the NSF, designed to accelerate the transition of use-inspired, convergence research into practice in areas of national importance. Prior to joining the Convergence Accelerator, Lara was a Program Officer in the NSF Office of International Science and Engineering, where her primary responsibility was to facilitate engagement by NSF and US researchers with Africa and the Middle East. Prior to joining NSF, Lara served as Director of the nonprofit CUBRC Center for International Science and Technology Advancement, where she developed, managed and supported international cooperative research activities primarily funded by the U.S. government (including USAID, the Dept. of State, and the Dept. of Defense).

Ran Canetti

Ran Canetti is a professor of Computer Science at Boston University and the director of the center for Reliable Information System and Cyber Security. He is also a Fellow of the International Association for Cryptologic Research and an associate editor of the Journal of Cryptology and Information and Computation. Canetti graduated from the Weizmann Institute of Science, was a researcher at IBM Watson Research Center, a research scientist at MIT and a professor at Tel Aviv University. Canetti’s research interests span multiple aspects of cryptography and information security, with emphasis on the design, analysis and use of cryptographic protocols.

Nicollette Louissaint

Nicollette Louissaint

Dr. Nicolette Louissaint serves as the Executive Director of Healthcare Ready, where she works to meet the most pressing patient needs before, during and after natural disasters, disease outbreaks and catastrophic events. Prior to joining Healthcare Ready, Nicolette was the Senior Advisor to the State Department’s Special Coordinator for Ebola during the height of the Ebola Epidemic of 2014. Nicolette holds Bachelors of Science degrees in Chemical Engineering and Biological Sciences from Carnegie Mellon University, a Ph.D. in Pharmacology and Molecular Sciences from Johns Hopkins University School of Medicine, and an M.B.A from the University of Baltimore.

Emma Spiro

Dr. Emma S. Spiro is an Associate Professor at the University of Washington Information School. She recently co-founded the Center for an Informed Public (CIP) at UW; the CIP is a collaborative, multi-disciplinary effort that brings together faculty, staff, students and community partners in service of a core mission aiming to resist strategic misinformation and strengthen democratic discourse. Dr. Spiro earned her Ph.D. in Sociology from the University of California, Irvine. She also holds a B.A. in Applied Mathematics and a B.A. in Science, Technology, and Society from Pomona College, as well as an M.A. from the Institute for Mathematical Behavioral Sciences at the University of California, Irvine.

Session Organizers and Moderators

Eric Kolaczyk

Eric Kolaczyk

Eric Kolaczyk is a Professor of Statistics, in the Department of Mathematics and Statistics, a founding member of the Faculty of Computing and Data Sciences, and Director of the Hariri Institute for Computing at Boston University. He is also affiliated with the Division of Systems Engineering, the Programs in Bioinformatics and in Computational Neuroscience, and the BU URBAN program.   His research is focused at the point where statistical theory and methods support human endeavors enabled by computing and engineered systems, frequently from a network-based perspective of systems science.  He develops novel methodologies for design, representation, modeling, inference, prediction, and uncertainty quantification foundational to new paradigms for data measurement and analysis.  He has published nearly 100 articles, including several books on the topic of network analysis. As an associate editor, he has served on the boards of JASA and JRSS-B in statistics, IEEE IP and TNSE in engineering, and SIMODS in mathematics.  He formerly served as co-chair of the NAS Roundtable on Data Science Education. He is an elected fellow of the AAAS, ASA, and IMS, an elected senior member of the IEEE, and an elected member of the ISI.

Meredith Lee 

Meredith Lee

Meredith Lee is the Executive Director and Co-PI of the West Big Data Innovation Hub, one of four regional hubs launched by the National Science Foundation to build and strengthen data science partnerships across academia, industry, nonprofits, and government. Before joining UC Berkeley’s Division of Computing, Data Science, and Society, Dr. Lee led the White House Innovation for Disaster Response & Recovery Initiative under the Obama Administration and focused on multi-agency collaborations with data.gov, challenge.gov, and the National Science & Technology Council. Meredith completed her Ph.D. in Electrical Engineering at Stanford University, a postdoc at the Canary Center at Stanford for Cancer Early Detection, and an AAAS Science & Technology Policy Fellowship at the Homeland Security Advanced Research Projects Agency.

Jing Liu

Jing Liu

Jing Liu is the Managing Director of Michigan Institute for Data Science at the University of Michigan.  Her focus areas include enabling transformative and reproducible data science in a wide range of research domains, and building academia-industry-government-community collaboration.  She received her PhD in Biology from the California Institute of Technology, and postdoctoral training in Visual Neuroscience at Stanford University.

Resources

Meeting Notes

Readings

  • Kolaczyk, E. (2020). POV: COVID-19 Shows Us We Need Rapid Response Data Science Teams. BU Today. June 10, 2020 http://www.bu.edu/articles/2020/pov-covid-19-rapid-response-data-science-teams [accessed October 2, 2020]
  • Lazer, D. M., Pentland, A., Watts, D. J., Aral, S., Athey, S., Contractor, N., ... & Nelson, A. (2020). Computational social science: Obstacles and opportunities. Science, 369(6507), 1060-1062. [link]
  • Lee, M. M., Johnson, A. D., Yelick, K. A., Chayes, J. T. (2020). The Road for Recovery: Aligning COVID-19 efforts and building a more resilient future. IEEE Data Eng. Bull. 43(2): 133-140. [pdf]
  • McGuire, A. L., Aulisio, M. P., Davis, F. D., Erwin, C., Harter, T. D., Jagsi, R., ... & Wynia, M. (2020). Ethical challenges arising in the COVID-19 pandemic: An overview from the Association of Bioethics Program Directors (ABPD) task force. The American Journal of Bioethics, 1-13. [link]
  • Peek, L., Tobin, J., Adams, R., Wu, H., & Mathews, M. (2020). A framework for convergence research in the hazards and disaster field: The natural hazards engineering research infrastructure CONVERGE facility. Frontiers in Built Environment, 6, 110. [link]