Invitation to a Data Science and AI Speed Dating Event University of Rhode Island March 10, 2023, 9:30-noon Hardge Forum Room, Multicultural Center 74 Lower College Road, Kingston, RI 02881 Center for Computational Research, ITS URI Big Data Initiative, URI Library College of Business, Business Analytics and AI URI Division of Research and Economic Development PURPOSE: To support scholars at URI and in the RI region to respond to solicitations that increasingly request interdisciplinary, convergence1, use-inspired2, and data enabled research. APPROACH: This event will provide a means for data enabled scholars and applied, theoretical data science and AI/analysis/management scholars to meet and explore interdisciplinary research collaborations for data and computationally enabled research. Scholars of all disciplines are invited. PROCESS: We will use a structured and timed speed dating approach that will give each scholar short segments of time to exchange their expertise and interests with other participants. Snack and beverages will be available upon arrival. At the end we will provide a grab and go lunch, but all will be welcome to stay and further discuss promising collaborations. Registration at: https://docs.google.com/forms/d/e/1FAIpQLSeMja9lExL--lNRzoUUUix2qIPow_d0ZmcOR6sZqJNj_g3Xgw/viewform?usp=sf_link Deadline (so that we can order food): Friday March 3, 2023
1 Convergence Research (https://beta.nsf.gov/funding/learn/research-types/learn-about-convergence-research): It is driven by a specific and compelling problem, whether that problem arises from deep scientific questions or pressing societal needs. It shows deep integration across disciplines. Convergence research intentionally brings together intellectually diverse researchers to develop effective ways of communicating across disciplines. As experts from different disciplines pursue a common research challenge, their knowledge, theories, methods, data and research communities increasingly intermingle. 2 Use-Inspired Research - From NSF solicitation on AI Institutes – NSF 22502 (https://www.nsf.gov/pubs/2022/nsf22502/nsf22502.htm): We use the phrase "use-inspired" rather than "applied" to emphasize that this solicitation seeks to support work that goes beyond merely applying known techniques and adds new knowledge and understanding in both foundational AI and use-inspired domains. Ideally there is a virtuous cycle between foundational and use-inspired research, where foundational results provide a starting point for use-inspired research, and the results from use-inspired research are generalized and made foundational.