Teaching
In teaching. my main focus is on methodological courses in the Applied Social Analysis Master program. I am the main responsible for the following courses of that program:
4SO438 - Introduction: explanation in the social sciences
4XA110 - Quantitative methods in Social Science
4SO441 - Quantitative methods II
4SO456 - Experimental Methods
Research
I am a member of the Computational Social Science group at the center for Data Intensive Sciences and Applications (DISA). In general, I am interested in the application of computer based methods to study a broad set of social phenomena. My publications span the following areas:
Cooperation in social dilemmas
Uncertainty in decision making
Computational Social Sciences in general (Agent-based modeling, Social Network Analysis, online experiments)
Statistics, machine learning and data mining in general
Publications
Article in journal (Refereed)
- Bravo, G., Farjam, M., Moreno, F.G., Birukou, A., Squazzoni, F. (2018). Hidden connections : Network effects on editorial decisions in four computer science journals. Journal of Informetrics. 12. 101-112.
- Farjam, M., Kirchkamp, O. (2018). Bubbles in hybrid markets : How expectations about algorithmic trading affect human trading. Journal of Economic Behavior and Organization. 146. 248-269.
- Farjam, M., Nikolaychuk, O., Bravo, G. (2018). Does risk communication really decrease cooperation in climate change mitigation?. Climatic Change. 149. 147-158.
- Bravo, G., Farjam, M. (2017). Prospects and Challenges for the Computational Social Sciences. Journal of universal computer science (Online). 23. 1057-1069.
- Farjam, M., Mill, W., Panganiban, M. (2016). Ignorance Is Bliss, But for Whom? The Persistent Effect of Good Will on Cooperation. Games. 7.
- Farjam, M., Faillo, M., Sprinkhuizen-Kuyper, I., Haselager, P. (2015). Punishment Mechanisms and Their Effect on Cooperation: A Simulation Study. JASSS : Journal of Artificial Societies and Social Simulation. 18.
Conference paper (Refereed)
- Farjam, M., Haselager, W., Sprinkhuizen-Kuyper, I. (2012). Greed, Envy, Jealousy A Tool for more efficient Resource Management. Proceedings of BNAIC, the 24th Benelux Conference on Artificial Intelligence. 99-107.