This new Center aims to unify programs and curricula in data science with an initial emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., sociology and government), the economics/computer science interface, the aspects of digital agriculture in the production and management of agriculture, digital platforms supporting urban infrastructure (e.g., the sharing economy), and as a theme that is cross-cutting in many of these areas, the corresponding issues of privacy, security, and fairness; more generally, the Center will enhance other programmatic areas associated with data science in an entrepreneurial and opportunistic fashion.
Our Capacity to Help Government
The areas spanned by the Center capture trends in data science for which there is tremendous current Cornell strength; leveraging this, the Center should play a leading role in
- Coordinating faculty renewal (especially cross-unit hires, focusing on tenured appointments in Statistics and Data Sciences (SDS), Operations Research and Information Engineering (ORIE), Information Science (IS), Computer Science (CS), Electrical and Computer Engineering (ECE), Economics, and Mathematics);
- Administering an Assistant Research Professorship program;
- Coordinating internal proposal-driven thematic boot camps (off-term);
- Coordinating and playing a lead role in responding to inter- and intra-institutional external funding opportunities (e.g., the multi-institution TRIPODS NSF Data Science Institute, and outreach to foundations such as the Simons Foundation);
- Coordinating the engagement of industrial and government partners in data science;
- Coordinating the development of a Ph.D. field of Data Science, initially focusing on a Ph.D. minor;
- Coordinating with Center for Advanced Computing (CAC) to address issues of data archiving and research computing;
- Interfacing with the data-infused aspects of other radical collaborations (primarily digital agriculture, genome biology, sustainability, and infection biology).
Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.
- September 27
Conference on Reproducibility and Replicability in Economics and Social Sciences. Session 1: Institutional support: Should journals verify reproducibility?
- September 30 – Sunday, October 2
Cornell Engineering Innovations in Medicine Kick Off Symposium
- October 6-7
Text as Data (TADA 2022) Conference
In the News
- Pittsburgh Tribune – David Shmoys: Utilizing the power of algorithm modeling for fairer elections
- CBC News – How testing helped Cornell University become a model of COVID-19 prevention
- ABC News – Cornell University gives exclusive look at how it has contained COVID-19
DS Research at Cornell
- Collaboration to infuse human behavior into epidemiological models
- Modeling for COVID-19 College Reopening
Decisions: Cornell, A Case Study
- Ranked choice, multimember districts blunts gerrymandering
- The unsung engineering behind Cornell’s fall 2020 schedule
- “Fairmandering” draws fair districts using data science
- New center will foster data science research
- Smart intersections could reduce autonomous car congestion
- Cornell co-leads effort to use big data to combat catastrophes
- Crowdsourcing app aims to fill gaps in coronavirus data