Faculty working in this area
| Faculty | website | |
|---|---|---|
| Jeremy Blackburn | jblackbu@binghamton.edu | |
| Sujoy Sikdar | ssikdar@binghamton.edu |
Highlights in this area
researches a better understanding of how people behave online. He is particularly
interested in “bad” behavior and has studied how cheating spreads like a disease in
a social network of gamers, mis- and disinformation, online extremism and memes. As
part of this broader work, he is building practical tools and systems for large-scale
data collection and analysis with the project.
researches the intersection of computer science, artificial intelligence, economics and social science in understanding individual and group preferences, how preferences are aggregated in systems composed of multiple agents, and designing algorithms to make good decisions for groups of heterogeneous agents. Some examples:
- Designing fair and efficient algorithms for group decision-making problems like fair division and voting.
- Learning and modeling preferences from data.
- Understanding human behavior in a variety of social contexts including in social media streams.