Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop (2017)
Chapter: Appendix B: Workshop Agenda
B
Workshop Agenda
JUNE 8, 2016
| 8:30 a.m. | Welcome and Overview |
| Introductions from the Co-Chairs Michael Daniels, University of Texas at Austin Alfred Hero, University of Michigan |
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| Perspectives from Stakeholders Michelle Dunn, National Institutes of Health Nandini Kannan, National Science Foundation, Division of Mathematical Sciences |
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| Overview of the Workshop Michael Daniels, University of Texas at Austin |
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| 9:40 | Break |
| 10:00 | Session I - Inference About Discoveries Based on Integration of Diverse Data Sets |
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Presenter: Alfred Hero, University of Michigan, to speak about integrating and drawing inferences from multimodal data |
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Discussant: Andrew Nobel, University of North Carolina at Chapel Hill |
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| Q&A | |
| 11:45 | Lunch |
| 12:45 p.m. | Session I, continued |
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Presenter: Genevera Allen, Rice University, to speak about statistical methods using medical/health case studies Discussant: Jeffrey S. Morris, MD Anderson Cancer Center |
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| Q&A | |
| 2:10 | Break |
| 2:30 | Session II - Inference About Causal Discoveries Driven by Large Observational Data |
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Presenter: Joseph Hogan, Brown University, to speak about causal inference and decision making with health record data using a case study on HIV in Kenya Discussant: Elizabeth Stuart, Johns Hopkins University |
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| Q&A | |
| 3:55 | Break |
| 4:15 | Session II, continued |
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Presenter: Sebastien Haneuse, Harvard University, to discuss comparative effectiveness research using electronic health records Discussant: Dylan Small, University of Pennsylvania |
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| Q&A | |
| 5:40 | Adjourn Day 1 |
JUNE 9, 2016
| 8:30 a.m. | Opening Perspectives from Stakeholders |
| Chaitan Baru, National Science Foundation, Computer and Information Science and Engineering | |
| 8:40 | Session III - Inference When Regularization Is Used to Simplify Fitting of High-Dimensional Models |
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Presenter: Daniela Witten, University of Washington, to discuss network reconstruction from high-dimensional ordinary differential equations Discussant: Michael Kosorok, University of North Carolina at Chapel Hill |
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| Q&A | |
| 10:00 | Break |
| 10:20 | Session III, continued |
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Presenter: Emery Brown, Massachusetts Institute of Technology, to speak about using different recording methods with high-dimensional time series Discussant: Xihong Lin, Harvard University |
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| Q&A | |
| Technical/Methodological Presenter Jonathan Taylor, Stanford University |
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| Q&A | |
| 12:30 p.m. | Lunch |
| 1:00 | Concluding Panel Discussion |
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Moderator: Robert Kass, Carnegie Mellon University |
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Panelists: Alfred Hero, University of Michigan Bin Yu, University of California, Berkeley Cosma Shalizi, Carnegie Mellon University Andrew Nobel, University of North Carolina at Chapel Hill |
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| 3:00 | Adjourn Workshop |
