Chief Executive Officer
Email: Henrion [at] Lumina.com
Max Henrion has 30 years of experience as a researcher, educator, software designer, consultant, and entrepreneur, specializing in the design and effective use of decision technologies. He is the Founder and CEO of Lumina Decision Systems, which develops and publishes decision software and provides consulting and training in decision analysis. He is the lead designer of Lumina’s flagship product line, Analytica -— the software about which PC Week said “Everything that’s wrong with the common spreadsheet is fixed in Analytica”. At Ask Jeeves, he was Vice President for Decision Technology, where he led the division that created the Jeeves Advisor, offering online consumer advice, based on technology acquired from Lumina. His work on decommissioning offshore oil platforms won the 2014 Decision Analysis Practice Award from the Society of Decision Professionals and the INFORMS Decision Analysis Society.
He has led teams that have created decision-support tools in a wide variety of applications, including environment and energy, R&D management, healthcare, telecommunications, aerospace, security, and consumer choice. He was the founding President of the Association for Uncertainty and Artificial Intelligence. He was Consulting Professor at Stanford University. He is Adjunct Professor at Carnegie Mellon University, where he was previously Associate Professor in the Departments of Engineering and Public Policy, and Social and Decision Science. He has an MA in Natural Sciences from Cambridge University, Master of Design from the Royal College of Art, London, and a PhD from Carnegie Mellon.
Max has published three books, and over seventy peer-reviewed articles. Here is a selection:
- "Scientific Uncertainty in Environmental Risk Assessment", Morgan, M. Henrion, S.C. Morris, & D.A.L. Amaral, Environmental Science and Technology, Vol 19, No 18, August 1985, pp. 662-667.
- Uncertainty in Artificial Intelligence 5, M. Henrion & R. Shachter (eds.), Machine Intelligence and Pattern Recognition, Volume 10, Elsevier, North Holland: Amsterdam, 1990.
- Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis, M. Granger Morgan and Max Henrion, Cambridge University Press: New York, 1990.
- "Decision Analysis and Expert Systems", Max Henrion, Jack S. Breese, and Eric Horvitz, Artificial Intelligence Magazine, Vol 12, No 4, Winter1991, pp64-91.
- "Divide and Conquer? The effects of decomposition on the accuracy and calibration of subjective probabilities", M. Henrion, G. W. Fischer & T. Mullin, Organizational Behavior and Human Decision Processes, Vol 55, 207-227, 1993.
- “The sensitivity of belief networks to imprecise probabilities: An experimental investigation”, Pradhan, M., Henrion, M., Provan, G., Del Favero, B., and Huang, K., Artificial Intelligence Journal, Vol: 84, Issue: 1-2, Jul 1996, pp. 357.
- “Uncertainty”, M. Henrion, MIT Encyclopedia of Cognitive Science, MIT Press, 1999, pp848-850.
- "Assessing Uncertainty in Physical Constants", M. Henrion & B. Fischhoff, American Journal of Physics, 54, (9), September, 1986, pp. 791-798. Reprinted in Heuristics and Biases: The Psychology of Intuitive Judgment, Edited by Thomas Gilovich, Dale W Griffin, Daniel Kahneman, Cambridge UP, 2006.
- “Open-Source Policy Modeling”, M. Henrion, I/S, A Journal of Law and Policy for the Information Society, fall, 2008.
Best practice approaches for characterizing, communicating, and incorporating scientific uncertainty in Climate Decision Making, M. Granger Morgan, Hadi Dowlatabadi, Max Henrion, Report by the US Climate Change Science Program, Subcommittee on Global Change Research, Washington DC, Jan 2009.
Low-Carbon Development: Opportunities for Nigeria, Editors: Raffaello Cervigni, John Allen Rogers, and Max Henrion, No 15812 in World Bank Publications, January 2013. 186p.
"A Multi-attribute Decision Analysis for Decommissioning Offshore Oil and Gas Platforms", Max Henrion, Brock Bernstein, Surya Swamy, International Environmental Assessment and Management (in press).