Projects per year
Personal profile
Research interests
- Machine learning
- Artificial intelligence
- Reinforcement learning
- Bounded rationality
- Network science
Education/Academic qualification
Computer Science, Doctor of Philosophy, University of Massachusetts
Award Date: 1 Sep 2008
Computer Science, Master in Science, University of Massachusetts
Award Date: 1 Sep 2004
Industrial Engineering and Operations Research, Master in Science, University of Massachusetts
Award Date: 1 Sep 1997
Fingerprint
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots or
Projects
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KTP with IoMosaic international Ltd
Şimşek, Ö., Chew, J. & Perera, S.
1/11/20 → 30/04/23
Project: Central government, health and local authorities
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DETI - EC3 - Automated Data Curation
Şimşek, Ö., Campbell, N. & Fincham Haines, T.
West of England Combined Authority
1/08/20 → 31/07/22
Project: Central government, health and local authorities
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IAA - LettUs Grow IMI collaboration
Engineering and Physical Sciences Research Council
1/04/19 → 30/04/19
Project: Research council
Research output
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Classification in the Wild: The Science and Art of Transparent Decision Making
Katsikopoulos, K., Şimşek, Ö., Buckmann, M. & Gigerenzer, G., Feb 2021, MIT Press. 208 p.Research output: Book/Report › Book
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Lexicographic decision rule
Şimşek, Ö., 2 Mar 2021, Oxford Research Encyclopedia of Politics. Redlawsk, D. P. (ed.). Oxford University PressResearch output: Chapter in Book/Report/Conference proceeding › Chapter
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Transparent modeling of influenza incidence: Big data or a single data point from psychological theory?
Katsikopoulos, K., Şimşek, Ö., Buckmann, M. & Gigerenzer, G., 28 Jan 2021, In: International Journal of Forecasting.Research output: Contribution to journal › Article › peer-review
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Bounded Rationality for Artificial Intelligence
Şimşek, Ö., 20 Dec 2020, Routledge Handbook of Bounded Rationality. Viale, R. (ed.). Routledge, p. 338-348 11 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach
Bluwstein, K., Buckmann, M., Joseph, A., Kang, M., Kapadia, S. & Şimşek, Ö., 31 Jan 2020, Bank of England, 65 p.Research output: Working paper