The Games, Decisions, Risk and Reliability program will be the only year-long program for 2019-2020. It will include game theory and adversarial risk analysis topics, relate these to decision theory, and also apply decision theory to risk analysis. An exciting aspect of the program will be to address non-standard utility functions that take account of the cost of memory, computation, and human effort to set up the analysis—these considerations are directly relevant to issues that arise in machine learning and data science.
Program Working Groups
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- Working Group I: Reliability for Infrastructure and Transportation, (Leaders: Fabrizio Ruggeri and Melike Baykal-Gursoy)
- Working Group II: Cybersecurity, (Leaders: David Rios Insua and Vicky Bier)
- Working Group III: National Security, (Leaders: Jun Zhuang and Alyson Wilson)
- Working Group IV: Games and Decisions in Finance Risk Management, (Leaders: Tao Pang and Nalini Ravishanker)
- Working Group V: Healthcare Risk Assessment (e.g., frauds), (Leaders: Tahir Ekin)
- Working Group VI: Computational Methods (stochastic and optimization) in Games and Decisions, (Leaders: Refik Soyer and Andrew Belmonte)
- Working Group VII: Adversarial Risk Analysis, (Leaders: David Banks and David Rios Insua)
- Working Group VIII: Machine Learning in Risk Analysis, (Leaders: Ernest Fokoue and Bowei Xi )
- Working Group IX: Computational Advertising, (Leader: David Banks)
Questions: email [email protected]