Jason Anastasopoulos

Associate Professor of Public Administration and Statistics (by courtesy)
Faculty Fellow, Institute of Artificial Intelligence
Faculty Fellow, Center for International Trade and Security

His work has been published at the  American Political Science Review, Political Analysis, the Public Administration Review, the Journal of Public Administration Research and Theory, Electoral Studies and  American Politics Research.

He has received several awards and grants for his solo-authored and co-authored work including the John L. Knight Foundation Freedom of the Press Award, the Institute for Humane Studies Hayek Fund Scholarship, the APSA Paul A. Volcker Junior Scholar Research Grant, a Facebook Integrity Research Grant, and a Peter G. Peterson Foundation U.S. 2050 Grant.

Dr. Anastasopoulos has held visiting appointments at Princeton, Emory, UC Berkeley and Harvard.

Education:

Ph.D., University of California, Berkeley (Political Science) 2014
Awards: National Science Foundation IGERT Fellowship, Berkeley Empirical Legal Studies Fellowship. M.A., University of California, Berkeley (Political Science) 2010

M.A., Harvard University (Statistics) 2005

B.S., Cornell University (Industrial and Labor Relations) 2003

Research Interests:
  • Political economy of technology
  • Public administration and governance
  • Computational social science
  • Machine learning and causal inference
Of note:

LATEST RESEARCH

“Behavioral artificial intelligence and administrative decision-making.” Jason Anastasopoulos. Working paper.

“Rawls in the Machine: Algorithmic Bias Under the Veil of Ignorance.” Jason Anastasopoulos. Working paper.

“Ethical Issues in Decision-making and Governing with Artificial Intelligence.” Jason Anastasopoulos and Andrew Whitford. Working paper.

“Why you shouldn’t use deep learning (unless you really have to).” Jason Anastasopoulos. Working paper.

“Principled estimation of regression discontinuity designs.” Jason Anastasopoulos. Working paper.

“Racial Justice, Representation and Algorithmic Bias.” Jason Anastasopoulos, Micah Gell-Redman and Andrew B. Whitford. Working paper.

Sarah Wright

Professor, Department of Philosophy
Director of Graduate Studies, Department of Philosophy

Sarah Wright (PhD University of Arizona) focuses on epistemology with investigations into the normative aspects of epistemology as well as human reasoning about probability and preferences, and the limits that we as humans might face in such reasoning.

Education:
  • Ph.D, University of Arizona, Philosophy
  • M.A, Brown University, Philosophy
  • B.A, University of Colorado at Boulder, Philosophy
Research Interests:
  • Epistemology
  • Environmental Ethics
Selected Publications:

Selected Publications:

“Virtue Responsibilism” forthcoming in the Oxford Handbook of Virtue, Oxford University Press.

“Epistemic Authority, Epistemic Preemption, and the Intellectual Virtues.” Episteme, forthcoming.

“The Stoic Epistemic Virtues of Groups.” in Essays in Collective Epistemology, ed. Jennifer Lackey, Oxford University Press, 2014

“The Norms of Assertion and the Aims of Belief.” in Epistemic Norms: New Essays on Action, Belief, and Assertion, eds.Clayton Littlejohn and John Turri, Oxford University Press, 2014

“A Neo-Stoic Approach to Epistemic Agency.” Philosophical Issues (2013)

“Wisdom, Truth and the Stoics: How Boots Befooled The King.” Acta Analytica (2012)

“Hume on Testimony: A Virtue-Theoretic Defense,” History of Philosophy Quarterly (2011)

“Invasive Species and the Loss of Beta Diversity,” Ethics and the Environment (2011)

“Knowledge and Social Roles: A Virtue Approach,” Episteme (2011)

“Internalist Virtues and Knowledge,” Acta Analytica (2010)

“Virtue Epistemology and Contextualism,” Metaphilosophy Special Issue, Virtue and Vice: Moral and Intellectual (2010)

“The Proper Structure of the Intellectual Virtues,” Southern Journal of Philosophy (2009)

Adam Goodie

Professor, Behavioral and Brain Sciences Program
Associate Dean, Franklin College of Arts and Sciences
Director, Georgia Gambling and Decision Lab

Adam Goodie is a Professor of Psychology whose research and teaching center on judgment and decision making—a convergence of social and cognitive psychology. He directs the Georgia Gambling and Decision Lab, which investigates gaming and gambling behaviors, related problems, and decision making under uncertainty. His current interests include perceived control in decision making, cognitive distortions in problem gambling, personality and individual differences in risky choice, and Bayesian reasoning and base-rate neglect under direct experience.

Goodie has authored more than 50 peer-reviewed publications, including work in Nature and the Journal of Behavioral Decision Making, with support from the NIH, NSF, and other agencies. He serves as liaison for the fine and performing arts and for the social and behavioral sciences (including Anthropology, Art, Communication Studies, Dance, Geography, Music, Psychology, Sociology, and Theater & Film Studies), oversees faculty affairs functions in the college, and supports faculty leadership development. He earned his Ph.D. from the University of California, San Diego, and has been a member of the Franklin College and Psychology faculty since 1998.

Education:
  • Ph.D. University of California, San Diego, 1997
Research Interests:
  • Perceived control in decision making (including risky choice)
  • Cognitive distortions in gambling and problem gambling
  • Development, maintenance, and recovery in problem gambling
  • Personality/individual differences in decision making and gambling
  • Bayesian reasoning and base-rate neglect under direct experience
  • Teamwork and leadership

Frederick Maier

Associate Director for Academic Programs, Institute for AI
Academic Professional

Dr. Maier is the Associate Director for Academic Programs of UGA's Institute for Artificial Intelligence, with a research focus in logic and artificial intelligence, particularly knowledge representation and nonclassical reasoning. Before earning a MS in artificial intelligence and a PhD in computer science, he studied philosophy at Tulane University in New Orleans.
 

Education:
  • Doctor of Philosophy in Computer Science. The University of Georgia.
  • Master of Science in Artificial Intelligence. The University of Georgia.
  • Master of Arts in Philosophy. Tulane University.
  • Bachelor of Arts in Philosophysumma cum laude. Spring Hill College.
Research Interests:
  • Logic-based artificial intelligence
  • Knowledge representation and reasoning
  • Semantic web technologies
  • Applied machine learning in scientific domains
  • Intelligent decision support systems

Khaled Rasheed

Professor, School of Computing

Dr. Khaled Rasheed is a Professor in the School of Computing at the University of Georgia, where he directs the Evolutionary Computation and Machine Learning Laboratory. He is also affiliated with the Georgia Informatics Institutes and the Institute for Integrative Precision Agriculture.

His research focuses on artificial intelligence methods—including genetic algorithms, evolutionary computation, data mining, and machine learning—and their applications across domains such as engineering design, agriculture, public health, and bioinformatics. Dr. Rasheed’s work integrates computational intelligence with real-world problem solving in diverse scientific and engineering contexts.

Education:
  • Ph.D. Computer Science, Rutgers University, 1998
  • M.S. Computer Science, Rutgers University, 1995
  • B.S. Computer Science, Alexandria University, 1990
Research Interests:
  • Artificial intelligence and machine learning
  • Genetic algorithms and evolutionary computation
  • Data mining and computational intelligence
  • AI applications in engineering, agriculture, and public health
  • Bioinformatics and health informatics