Summer School on Decision Making in Large Systems
Funded by the National Science Foundation
Ali Abbas - Director of the Neely Center, University of Southern California
Ali E. Abbas is Professor of Industrial and Systems Engineering and Professor of Public Policy at the University of Southern California and a leading authority in the field of decision and risk analysis. Read More.
Venue: University of Southern California
Date: June 24th – 29th, 2018
The University of Southern California's Neely Center, with funding support from the National Science Foundation, will be hosting a six-day Summer School in June 2018 that will introduce graduate students to the foundations of decision making in large systems.
This summer school is developed in direct response to needs expressed through various NSF-sponsored workshops. The school will provide an intensive and interactive educational experience to graduate students who are interested in studying decision making in the context of engineering design and systems engineering. It is specifically intended to provide educational opportunities for students from graduate programs that do not have appropriate coursework in this area. The summer school will cover theoretical and practical issues. It will provide students with foundational understanding about how to conduct research in decision making in design and systems engineering; create a network of peers who are studying these issues, and advance community research standards.
Objectives of the Summer School
- To provide graduate students with the foundations needed to enable them to conduct formal research in decision making.
- To provide online resources through a web site that will compile a list of papers, references, and lecture material for graduate students around the nation.
- To develop a cohort and a network of graduate students exposed to formal decision making methods in systems engineering and design.
- To provide graduate students with the opportunity to meet with other academics and industry experts.
Topics covered include
- Characterizing uncertainty in a systems engineering and design environment
- Building Preference – Value – Utility models for systems engineering and design
- Introducing the basic axioms of decision making, and methods to analyze flawed methods of decision making
- Research methodologies for decision making in systems engineering and design
- Future research directions
- Practical applications of decision making in systems engineering featuring guest speakers from industry and academia