[Talk] ML Tlachac — Bots and Bias: Technology Acceptance and Digital Depression Datasets

When: Friday, October 9, 1:00 PM Where: Tyler 106 AbstractAs AI chatbots are increasingly being used in education contexts and digital modalities are increasingly being used in depression assessment research, it is important to understand human perspectives and bias. My research started in two main areas: exploring AI chatbot acceptability at Bryant University and comparing […]

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[Talk] Katherine Kinnaird: Music, Data Science, Meal Planning, and Topology connect us all

When: Friday, October 2, 1:00 PM Where: Tyler 106 AbstractData science seems to be everywhere these days. This talk will discuss examples of data science being applied to music and meal planning, as well as introducing publicly available resources for exploring culturally motivated data. This talk will delve deeply into the multidisciplinary field of Music […]

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[Talk] Naitee Ting: Dose-Response Modeling for Phase II Decision-Making

When: Friday, September 25, 1:00 PMWhere: Tyler 108 AbstractIn the process of medicine discovery and development, understanding the dose-response relationship is one of the most important and challenging tasks. It is critical to identify the right range of doses in early stages of medicine development so that Phase III trials can be properly designed to […]

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URI CS Connect Day — A full day of connection, insight, and career preparation

When: Friday, September 18, 2026 8:30am to 5:00pmWhere: Memorial Union Ballroom The URI CS Connect Day brings students, alumni, faculty, and industry partners together for conversations about computing careers, emerging technologies, recruiting, and the evolving role of AI in the workplace. Join us to discuss workplace readiness and explore career pathways in the computer science […]

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[Talk] MEDFORD: A human- and machine-readable metadata markup language

When: Friday, September 18, 1:00 PMWhere: Tyler 108 Abstract Reproducibility of research is essential for science. However, in the way modern computational biology research is done, it is easy to lose track of small, but extremely critical, details. Key details, such as the specific version of a software used or iteration of a genome can […]

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[Talk] Ed Lamagna: From Punched Cards to Quantum Cryptography: A Personal Retrospective on 50 Years of Computer Science

When: Friday, April 24, 3:30 PMWhere: Beaupre 105 Abstract:Ed Lamagna, Professor of Computer Science at URI, has served on the URI faculty for 50 years, arriving in the Fall of 1976. His professional interests lie at the intersection of computer science and mathematics. In particular, Ed contributes to the fields of computer algebra and the […]

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[Talk] Suzanne Mello-Stark: Election Security After 2020: Systems Held, Trust Didn’t

When: Friday, April 24, 3:30 PMWhere: Beaupre 105 Abstract:This talk argues that the biggest threat to elections today is not hacking, but doubt. Since 2020, election systems have become more secure. Paper ballots, risk-limiting audits, and improved coordination have made large-scale tampering with votes extremely difficult. But while the systems held, confidence in them did […]

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[Talk] Hoon Cho: Enabling Collaborative Genomic Studies with Privacy

When: Friday, April 17, 3:00 PMWhere: Tyler 055 AbstractThe sensitive nature of genomic data poses major challenges for data sharing and collaboration in biomedicine. Traditional safeguards often lead to fragmentation across data silos, hindering large-scale analysis. I will describe our recent work on secure federated (SF) algorithms, which combine cryptography and distributed computation to enable […]

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[Talk] Anny-Claude Joseph: Causal Inference under Spatial Interference

When: Friday, April 10, 3:00 PMWhere: Tyler 055 AbstractEnvironmental epidemiologists are increasingly interested in establishing causality between exposures and health outcomes. A popular model for causal inference is the Rubin Causal Model (RCM). An important assumption under RCM is no interference, that is, the potential outcomes of one unit in the study are not affected […]

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