Goals and ObjectivesThe goal of this inter-disciplinary research area is to quantitatively model and predict human behavior in a networked society, and to investigate new (networked) mechanisms and incentives that elicit change in that behavior (or disrupt it). Proposals at the interface of Computer Science, Social Science and Economics are encouraged. | ![]() |
Overview
Description:
Observing, mining, modeling and predicting human behavior over communication networks.
- Measurement based models of human behavior.
- Data Minining and Statistical Methods to analyze large and diverse datasets.
- Models of social networks and their dynamics, and their impact on the network.
- Analysis of cultural, geographic, economic and demographic variations in behavioral patterns.
RFP: Demographic Variation in Technology Use - Detection of behavioral anomalies based on observed patterns/models, and spatial/temporal correlations.
New communication mechanisms to induce as well as adapt to desired behavioral changes.
- Mechanism design.
- Socially aware design of networked systems: from communication technologies to user interfaces.
- Cultural, geographic, economic and demographic impact.
Towards building better networked societies
- Reputation systems and their impact on social design.
- Incentives and mechanisms to elicit online participation and collaboration.
- Building distributed virtual environments and their positive impact on society.
Privacy and Anonymity issues
- Privacy preserving mining algorithms.
- Protecting/Anonmyzing user identity.
Related Material
- Measurement and models of human behavior:
http://www.nature.com/nature/journal/v453/n7196/full/nature06958.html
http://crawdad.cs.dartmouth.edu/
- Reputation systems:
http://www.si.umich.edu/~presnick/papers/cacm00/reputations.pdf
http://bokardo.com/archives/social-design-patterns-for-reputation-systems-one/



