All attendees receive free access to the INFORMS 2020 TutORials in Operations Research online content concurrently with the meeting. Registrants of the 2020 INFORMS Annual Meeting have online access to the 2020 chapters, written by select presenters, beginning on November 8, 2020. Access this content using the link provided to all attendees by email or, if you are a 2020 member, simply login to INFORMS PubsOnLine.

The TutORials in Operations Research series is published annually by INFORMS as an introduction to emerging and classical subfields of operations research and management science. These chapters are designed to be accessible for all constituents of the INFORMS community, including current students, practitioners, faculty, and researchers. The publication allows readers to keep pace with new developments in the field and serves as augmenting material for a selection of the tutorial presentations offered at the INFORMS Annual Meetings.

A Framework for the Management of Innovation

Author: Stelios Kavadias; Jeremy Hutchison-Krupat

AI and Algorithmic Bias: Source, Detection, Mitigation and Implications 

Author: Yan Huang; Param Vir Singh, Runshan Fu

Analytical OppORtunities in Tax Administration 

Author: Ron Hodge, IRS

Diversity, Equity and Inclusion in the Decision Sciences: A Research Agenda for Scholarship, Practice and Service 

Author: Michael Johnson, University of Massachusetts Boston

Fairness Driven Machine Learning in Health Care

Author: Margrét Bjarnadóttir, University of Maryland

Information Design in Operations

Author: Ozan Candogan, University of Chicago

Military Operations Research: A Career’s Worth of Opportunities in the United States Army

Author: Andrew Hall, West Point

Operations Research and Public Education

Authors: Karen Smilowitz, Northwestern University; Samantha Keppler

Risk Management  Challenges in Novel Payment and Clearing Systems

Author: Andreea Minca; Hamed Amini

Stochastic Market Microstructure Models of Limit Order Books

Author: Costis Maglaris, Columbia University; Rama Cont 

Wine Analytics

Author: Burak Kazaz, Syracuse University