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Carvis C. Durr

Adjunct Professor in Social and Decision Science, University of Central Florida
Chapter Member: Florida SSN

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About Carvis

Dr. Durr's research focuses on social inequalities using decision science and medical and public sociology methods. Overarching themes in Durr's writing include public affairs, social wellness, health disparities, food insecurity, early childhood development, workforce development, exercise science (cardiology). Durr serves on nonprofit boards, in consulting roles, on projects, and programs for the inner city.

In the News

Opinion: "The Social Infrastructure of Our Society and Intellectual Freedom," Carvis C. Durr, PA TIMES, April 18, 2025.
Opinion: "Social Capital and Election Integrity," Carvis C. Durr, PA TIMES, November 4, 2024.
Opinion: "Investing in People: Health, Preventative Care, and Wellness," Carvis C. Durr, PA TIMES, May 6, 2024.
Opinion: "Utilizing Artificial Intelligence To Forecast the Outcome of the Upcoming Elections," Carvis C. Durr, PA TIMES, November 13, 2023.
Opinion: "Affordable Housing and Integrated Care," Carvis C. Durr, PA TIMES, October 16, 2023.
Opinion: "Six Paramount Pillars for Communities to Thrive," Carvis C. Durr, PA TIMES, August 13, 2023.
Opinion: "Ramifications of Abolishing Affirmative Action," Carvis C. Durr, PA TIMES, July 17, 2023.
Opinion: "Hurricane Season and Food Insecurity in Florida | Column," Carvis C. Durr, Opinion | Guest Column, The Tampa Bay Times, July 1, 2023.
Opinion: "Education Is Not Indoctrination," Carvis C. Durr, Guest Commentary, Orlando Sentinel, April 15, 2023.

Publications

"Use of AI and Perceived Equity Among College Students in the US" (with Abdul-Akeem Sadiq and Xi Huang). AI Literacy, Workforce Learning, and Human–AI Futures 2, no. 1 (2026).

Examines how college students use artificial intelligence tools and whether they believe access to and benefits from AI are distributed fairly among students. Finds relatively low levels of AI use overall, evidence of perceived inequities in AI access and use, and no significant relationship between AI use and students’ demographic characteristics.

"Food Insecurity Among University Students and the Barriers to Utilizing Food Assistance Programs During and After Hurricane Ian and Nicole" (with Yingru Li). Journal of Poverty (2024): 1–13.

Examines food insecurity among students in a public university in Florida during and after Hurricane Ian and Nicole, aiming to understand the association between students’ utilization of food assistance programs and food insecurity levels. Findings show that 30.7% of surveyed students experienced food insecurity, particularly among socially vulnerable groups.