The Decision Analysis Society (DAS) is hosted a joint webinar with the Society of Decision Professionals (SDP) and the Society for Risk Analysis (SRA):
"Sensitivity Analysis for Decision Making: From Decision Trees to Artificial Intelligence"
Featuring: Emanuele Borgonovo (Bocconi University)
Moderated by: Robin Dillon-Merrill (DAS-INFORMS)
Location: Online
Click here to register
Abstract:
Sensitivity Analysis is an essential part of the Decision Analysis Cycle. It plays a central role in making decision support models more transparent. In parallel with the transformation of the models we use to support decisions, sensitivity analysis methods are rapidly evolving. Starting from the notion of information value, we will move through old and new techniques. For variable importance we will go from Tornado Diagrams to Global Methods through Shapley Values, for direction of change we will compare the familiar Spiderplots with the machine learning Partial Dependence Plots. We provide practical examples and analyze their use in applications. We will focus on how sensitivity analysis helps decision makers to interrogate models, and analysts to make clearer recommendations to decision makers.
Meet the Speaker:
Emanuele Borgonovo
Head, Department of Decision Sciences, Bocconi University
Research Affiliate, Massachusetts Institute of Technology, Department of Nuclear Science and Engineering
Emanuele Borgonovo is Full Professor and Director at the Department of Decision Sciences of Bocconi University and Research Affiliate at MIT NSE. He is co-editor-in-chief of the European Journal of Operational Research, advisor to the Springer International Series in Operations Research and Management Science, Co-Chair of the Uncertainty Analysis Committee of the Safety and Reliability Association. He has been President of the INFORMS Decision Analysis Society from 2020-2022. He is the recipient of several national and international awards. He is also a member of the editorial boards of numerous journals among which Risk Analysis, Decision Analysis, etc.. He has published over 100 scientific papers and worked in international research projects with companies and national labs. His technique, the Differential Importance Measure, has been inserted in NASA's Guide for Risk Managers and Practitioners. He is author of the book: "Sensitivity Analysis: An Introduction for the Management Scientist", http://www.springer.com/gp/book/9783319522579.
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Robin Dillon-Merrill
Professor
Georgetown University
Washington DC
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