Social Scientists: How to Compete for Social Science Research at NSF, NIH, and Foundations

Virtual: Zoom

Workshop for social scientists on how to identify and understand which programs within NSF and NIH fund social sciences, what reviewers are typically looking for, and common mistakes to avoid. The webinar will also cover how to identify private foundations that may be interested in funding your social science research. Presented By: Lucy [...]

Coffee with the Cores

Biotechnology Sciences and Engineering Building | 1st Floor, Atrium

Join the UTSA Cores for coffee while discovering the core facilities and resources available to UTSA Research students, faculty, and research partners. You will unlock a world of services tailored to enhance your research experience through one-on-one conversations with directors and a guided tour of facilities. or more information, contact: Ana Stevanovic, KAMC Core Director, [email protected] [...]

Climate RIG Meeting

Faculty Center Small Conference Room JPL 4.04.12D & Virtual: TEAMS

Fall 2024 monthly meeting of the UTSA Climate RIG. View more information

Pursuing Funding in the Humanities and Humanitistic Social Sciences

Virtual: Zoom

Online workshop on the types of funding available to support research in the humanities and humanities-related social sciences and how to compete for them. The webinar focuses on how to compete for grants from the NEH, NEA, and private foundations, and grants to travel to collections and libraries. Presented By: Lucy Deckard, Academic Research Funding […]

SEMINAR – Using machine learning to generate neighborhood definitions: The application of hierarchical clustering and commuting zones at the Census Tract level. – Texas Research Data Center

In-Person

Presented By: Michael C. Lotspeich-Yadao, University of Illinois, Urbana-Champaign Variation in the definitions of spatial units substantially impacts the validation of causal relationships between individual and ecological contexts. Acknowledging this significant influence of neighborhood definition on research outcomes, our study seeks to introduce a scalable methodological innovation by synthesizing Tolbert and Killian’s (1987) proportional flow […]

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