Mike Farjam
Associate senior lecturer
Department of Computer Science and Media Technology
Faculty of Technology
+46470708046
Publications
Article in journal (Refereed)
- Farjam, M., de Moor, T., van Weeren, R., Forsman, A., Dehkordi, M.A.E., et al. (2020). Shared Patterns in Long-Term Dynamics of Commons as Institutions for Collective Action. International Journal of the Commons. 14. 78-90.
- Farjam, M. (2020). The bandwagon effect in an online experiment with real political organisations. International journal of public opinion research. 1-19.
- Farjam, M., Nikolaychuk, O., Bravo, G. (2019). Investing into climate change mitigation despite the risk of failure. Climatic Change. 154. 453-460.
- Farjam, M. (2019). On whom would I want to depend; humans or computers?. Journal of Economic Psychology. 72. 219-228.
- Farjam, M., Nikolaychuk, O., Bravo, G. (2019). Experimental evidence of an environmental attitude-behavior gap in high-cost situations. Ecological Economics. 166. 1-12.
- Farjam, M., Nikolaychuk, O., Bravo, G. (2018). Does risk communication really decrease cooperation in climate change mitigation?. Climatic Change. 149. 147-158.
- 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.
- 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.
- 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)
- de Moor, T., Farjam, M., Bravo, G., Dehkordi, M., Forsman, A., et al. (2019). Common paths in long-term institutional dynamics : An analysis of rule changes in British and Dutch commons over seven centuries. Presented at: XVII Biennial IASC Conference, Lima, Peru, July 1-5, 2019.
- Farjam, M., Bravo, G., Forsman, A., de Moor, T., Ghorbani, A., et al. (2019). Eco-evolutionary perspectives on institutional dynamics of historical commons advice about sustainable utilization of shared resources. Presented at: XVII Biennial IASC Conference, Lima, Peru, July 1-5, 2019.
- Farjam, M., Loxbo, K. (2019). Experimental evidence of a bandwagon effect on voting. 6th International Meeting on Experimental and Behavioral Social Sciences (IMEBESS).
- Farjam, M. (2019). Experimental evidence of the bandwagon effect on voting. Presented at: 2019 European ESA Meeting, Dijon, France.
- Ghorbani, A., Dehkordi, M., Bravo, G., Farjam, M., de Moor, T., et al. (2019). Long-term Dynamics of Institutions: An empirically tested model. .
- Farjam, M., Nikolaychuk, O., Bravo, G. (2019). Nonetheless or all the more? Investing into climate change mitigation policies despitea risk of failure. .
- Farjam, M., Nikolaychuk, O., Bravo, G. (2019). Experimental evidence of an attitude-behaviour gap for climate change mitigation in high cost conditions. Presented at 6th International Meeting on Experimental and Behavioral Social Sciences (IMEBESS), Utrecht, May 2-4, 2019..
- Farjam, M., Nikolaychuk, O., Bravo, G. (2018). Does risk communication really decrease cooperation in climate change mitigation?. .
- Bravo, G., Farjam, M., Nikolaychuk, O. (2018). Solving climate dilemmas is a trivial task (on MTurk). .
- 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.
Chapter in book (Refereed)
- Farjam, M., Bravo, G. (2020). Fixing sample biases in experimental data using agent-based modelling. Advances in social simulation: Looking in the mirror. Springer Nature.