My research is on decision making under deep uncertainty. The questions that I primarily study are methodological: How to support decision making when there are major gaps in our data, knowledge and understanding? What are the trade offs and trade-ons? How to prioritize decision alternatives? What is the value of further information? How to assess the robustness against pernicious uncertainty, as well as the opportuneness from propitious uncertainty? These methodological decision-support questions are especially pertinent for high-consequence decisions in new and changing situations, or when facing new and innovative options that are incompletely understood.
I initiated and developed info-gap decision theory for modeling and managing deep uncertainty. Info-gap theory has impacted the fundamental understanding of uncertainty in human affairs, and is applied by scholars and practitioners around the world in engineering, biological conservation, economics, national security, project management, climate change, natural hazard response, medicine, and other areas. You will find lots of information about info-gap theory and its applications at info-gap.com (equivalently at info-gap.technion.ac.il).