What We're Looking For:
We are looking for students with a foundation in a technical or quantitative area, such as computer science, applied math, physics, economics, statistics, cognitive science, or social psychology. Students should also have knowledge and/or interest in areas such as complexity science, social networks, artificial intelligence, game theory, evolutionary biology, political science and/or behavioral economics. The best candidates will have clearly demonstrated skills in one or more of the following: data science, machine learning, information visualization, behavioral experiments, system implementation, or mathematical modeling.
Here are examples of the methods we use:
- Building and deploying large-scale systems to facilitate new forms of cooperation, building on techniques from crowdsourcing, human computation, machine learning and artificial intelligence;
- Using techniques from data science, statistics, and machine learning to analyze big data sets from online news, social media, sensors, phones, or our own deployed systems;
- Designing and running online or lab-based behavioral experiments to explore social behavior;
- Using mathematical, statistical and simulation modeling to produce deep insights into social phenomena;
- Developing Artificial Intelligence and Machine Learning systems capable of ethical decision-making.
Exceptional students that do not match this description exactly will also be considered.