Decisions under uncertainty arise in many disciplines, including engineering, economics, public policy, medicine, biological conservation, homeland security and so on. In these disciplines one uses data and models to formulate and evaluate designs and plans.

Info-gap theory is a method for analysis, planning, decision and design under uncertainty. The future may differ from the past, so our models may err in ways we cannot know. Our data may lack evidence about surprises: catastrophes or windfalls. Our scientific and technical understanding may be incomplete. These are info-gaps: incomplete understanding of the system being managed. Info-gap theory provides decision-support tools for modelling and managing severe uncertainty. Info-gap theory has been applied by scholars around the world to engineering, biological conservation, financial and monetary economics, project management, medicine and homeland security, and more.

This workshop is devoted to learning the methodology of info-gap analysis and its integration with other decision tools.

The Instructor

Professor Yakov Ben-Haim has lectured at universities, medical and technological research institutions and central banks throughout the world and has been a visiting scholar in more than 10 different countries. He has developed info-gap theory and has published 4 books (the 5th will appear shortly) and more than 80 articles. He holds the Yitzhak Moda'i Chair in Technology and Economics at the Technion--Israel Institute of Technology.

He will visit the UK in April to June this year, visiting the universities of Bristol and Sheffield in April, followed by visits to the University of Newcastle and to Durham University as Grey College Fellow. The visit is made possible in part by support of a Royal Academy of Engineering Distinguished Visiting Fellowship.

The Participants

This course is intended for decision analysts of all sorts: engineers, economists, policy analysts, biological conservationists, applied mathematicians, and so on. Participants will need access to personal computers for implementation of the mini-projects.

Time and Place

Monday-Thursday, 17-20 May 2010.
Department of Mathematical Sciences, Durham University, Durham, U.K.