The 2020 cohort comes from 28 universities, and will meet virtually on Oct. 29th-30th to participate in research talk presentations, networking sessions, and mentoring opportunities.
The research talk presentations will take place from 12:00pm – 2:00pm EST each day and are open to the public.
Mentoring session speakers:
- Dr. Jeffrey Fessler, Professor of the Department of Electrical and Computer Engineering, University of Michigan
- Dr. Margaret Levenstein, Director of the Inter-university Consortium for Political and Social Research, University of Michigan
- Dr. Kevin Ward, Professor of Emergency Medicine, University of Michigan
- Dr. Michael Wellman, Professor and Chair of the Department of Computer Science and Engineering, University of Michigan
- Dr. Marybeth Broadbent, Data Scientist at Google
October 30th Schedule
12:00pm – 12:10pm: Opening remarks, Jing Liu (Managing Director, MIDAS)
Presentations
Data Science and the Physical World
| Time | Name | University | Title of Presentation |
| 12:10pm – 12:25pm | Karianne Bergen | Harvard University | Shaking up Earthquake Science in the Age of Big Data |
| 12:25pm – 12:40pm | Roshan Kulkarni | Iowa State University | Modeling for ambiguous SNP calls in allotetraploids |
| 12:40pm – 12:55pm | Chris Powell | Oakland University | PATS: a taxon re-sampling pipeline to test phylogenetic stability in large datasets |
| 12:55pm – 1:10pm | Sameer | Penn State University | Unveiling the nature of the Circumgalactic medium |
| 1:10pm – 1:25pm | Yan Li | University of Minnesota | Physics-guided Energy-efficient Path Selection |
| 1:25pm – 1:40pm | Elham Taghizadeh | Wayne State University | Framework for Effective Resilience Assessment of Deep-Tier Automotive Supply Networks |
Data Science and Human Society
| Time | Name | University | Title of Presentation |
| 12:10pm – 12:25pm | Aviv Landau | Columbia University | Artificial Intelligence-Assisted Identification of Child Abuse and Neglect in Hospital Settings with Implications for Bias Reduction and Future Interventions |
| 12:25pm – 12:40pm | Thibaut Horel | Massachusetts Institute of Technology | The Contagiousness of Police Violence |
| 12:40pm – 12:55pm | Chris Ick | New York University | Robust Sound Event Detection in Urban Environments |
| 12:55pm – 1:10pm | Renhao Cui | Ohio State University | Restricted Paraphrase Generation Model for Commercial Tweets |
| 1:10pm – 1:25pm | Rezvanah Rezapour | University of Illinois at Urbana-Champaign | Text Mining for Social Good; Context-aware Measurement of Social Impact and Effects Using Natural Language Processing |
October 30th Schedule
12:00pm – 12:10pm: Welcome back, Jing Liu (Managing Director, MIDAS)
Presentations
Data Science Theory and Methodology
| Time | Name | University | Title of Presentation |
| 12:10pm – 12:25pm | Paidamoyo Chapfuwa | Duke University | Bringing modern machine learning to survival analysis |
| 12:25pm – 12:40pm | Heakyu Park | Georgia Institute of Technology | Bluff: Interactive Interpretation of Adversarial Attacks on Deep Learning |
| 12:40pm – 12:55pm | Tanima Chaterjee | University of Illinois at Chicago | On the Computational Complexities of Three Privacy Measures for Large Networks Under Active Attack |
| 12:55pm – 1:10pm | Behnaz Moradi | University of Virginia | Introducing retraced non-backtracking random walk (RNBRW) as a tool to uncover the mesoscopic structure of open-source software (OSS) networks |
| 1:10pm – 1:25pm | Sanjeev Kaushik | Florida International University | Securing the IoT Communication |
| 1:25pm – 1:40pm | Arya Farahi | University of Michigan | Towards Trustworthy and Fair Classifiers |
| 1:40pm – 1:55pm | Qi Zhao | University of California, San Diego | Persistence Enhanced Graph Neural Network |
Data Science and Human Health
| Time | Name | University | Title of Presentation |
| 12:10pm – 12:25pm | Sarah Ben Mamaar | Northwestern University | Comprehensive analysis of the reproducibility of RNAseq computational pipelines |
| 12:25pm – 12:40pm | Váleri Vásquez | University of California, Berkeley | Optimizing Genetic-Based Public Health Interventions |
| 12:40pm – 12:55pm | Abby Stevens | University of Chicago | Modeling the Impact of Social Determinants of Health on COVID-19 Transmission and Mortality to Understand Health Inequities |
| 12:55pm – 1:10pm | Sean Kent | University of Wisconsin | Multiple Instance Learning from Distributional Instances |
| 1:10pm – 1:25pm | LaKeithia Glover | Clark Atlanta University | Suicide Rates on African African Youth as it relates to the Influence of Different types of Communication |
| 1:35-1:40pm | Matt Satusky | University of North Carolina at Chapel Hill | BioData Catalyst and Deep Learning: Feature extraction on a full-feature platform |
| 1:40pm – 1:55pm | Juandalyn Burke | University of Washington | Using an Ecological Inference Software Tool to Detect Vote Dilution |
Other Attendees
| Name | University |
| Sandrine Muller | Columbia University |
| Jonathan Proctor | Harvard University |
| Etienne Nzabarushimana | Indiana University |
| Kate Mortensen | Indiana University |
| Zhouhan Chen | New York University |
| Ashley Superson | Oakland University |
| Alex Aguilar | Rice University |
| Adam Anderson | University of California, Berkeley |
| Like Hui | University of California, San Diego |
| Elena Graetz | University of Illinois at Chicago |
| Jayant Gupta | University of Minnesota |
| Aji John | University of Washington |
The 2020 Data Science Consortium is sponsored by
Google Cloud