About the Authors

Arthur Carvalho (“Sharing Rewards Among Strangers Based on Peer Evaluations”) is a Ph.D. candidate in the Cheriton School of Computer Science at the University of Waterloo. His research interests include crowdsourcing, forecasting, information markets, proper scoring rules, consensus, fair division, game theory, mechanism design, electronic commerce, and decision analysis. Email:[email protected].

Luis C. Dias (“A Note on a Group Preference Axiomatization with Cardinal Utility”) obtained a degree in informatics engineering from the School of Science and Technology at the University of Coimbra in 1992 and a Ph.D. in management/systems sciences in organizations from the University of Coimbra in 2001. He is currently an assistant professor with tenure at the Faculty of Economics at the University of Coimbra (FEUC), which he joined in 1992. He has been teaching courses on decision analysis, operations research, informatics, and related areas. Since 2007, his tasks have involved coordinating the Masters in Management at FEUC and being a member of the Coordination and Management Board of the Energy for Sustainability initiative of the University of Coimbra, with responsibilities for the coordination of the Masters in Energy for Sustainability and the Ph.D. in Sustainable Energy Systems (MIT Portugal Program). He is also a researcher of the INESC Coimbra R&D Institute, where he was part of the board of directors from 2001 to 2007. He has been appointed to the editorial board of the recently created EURO Journal on Decision Processes. His research interests include multicriteria decision analysis, performance assessment, group decision and negotiation support, decision support systems, and applications in the areas of energy and environment. Email:[email protected].

Seth D. Guikema (“Resource Allocation for Homeland Defense: Dealing with the Team Effect”) is an assistant professor in the Systems Analysis, Economics, and Policy Group of the Department of Geography and Environmental Engineering at the Johns Hopkins University (JHU), with joint appointments in civil engineering and earth and planetary sciences at JHU. He is also a professor II (adjunct) in the Department of Industrial Economics, Risk Management, and Planning at the University of Stavanger in Norway; a senior decision analyst with Innovative Decisions, Inc.; and a member of the core faculty in the JHU Systems Institute. His research focuses on risk analysis, statistical learning theory, and multiperson decision problems, particularly for natural disasters, terrorist attacks, and infrastructure systems. He is an associate editor for the American Society of Civil Engineers (ASCE) Journal of Infrastructure Systems and is a member of the editorial boards of Risk Analysis, Reliability Engineering & System Safety, and Journal ofPerformability Engineering. He received his B.S. (Cornell University), M.S. (Stanford University), and M.E. (University of Canterbury, New Zealand) in civil and environmental engineering, and his Ph.D. (Stanford University) in engineering risk and decision analysis. Prior to JHU, he was a postdoctoral researcher at Cornell University and an assistant professor at Texas A&M University. He received the Chauncey Starr Distinguished Young Risk Analyst Award from the Society for Risk Analysis in 2010 and currently serves on the councils of the INFORMS Decision Analysis Society and the Society for Risk Analysis. Email:[email protected].

Jeffrey M. Keisler (“Communicating Analytic Results: A Tutorial for Decision Consultants”) is an associate professor in the Management Science and Information Systems Department at the University of Massachusetts Boston. One of his main research interests is finding ways to make decision analysis more effective in practice, and he recently coedited the book Portfolio Decision Analysis. He received his Ph.D. in decision sciences from Harvard University and his M.B.A. from the University of Chicago. He is a Fellow in the Society of Decision Professionals. Prior to becoming a professor, he worked as a management consultant at Strategic Decisions Group and as a decision analyst with Argonne National Laboratory and General Motors. He currently serves as president-elect of the INFORMS Decision Analysis Society. Email:[email protected].

L. Robin Keller (“From the Editors: Copulas, Group Preferences, Multilevel Defenders, Sharing Rewards, and Communicating Analytics”) is a professor of operations and decision technologies in the Merage School of Business at the University of California, Irvine. She received her Ph.D. and M.B.A. in management science and her B.A. in mathematics from the University of California, Los Angeles. She has served as a program director for the Decision, Risk, and Management Science Program of the U.S. National Science Foundation (NSF). Her research is on decision analysis and risk analysis for business and policy decisions and has been funded by NSF and the U.S. Environmental Protection Agency. Her research interests cover multiple attribute decision making, riskiness, fairness, probability judgments, ambiguity of probabilities or outcomes, risk analysis (for terrorism, environmental, health, and safety risks), time preferences, problem structuring, cross-cultural decisions, and medical decision making. She is currently the editor-in-chief of Decision Analysis, published by the Institute for Operations Research and the Management Sciences (INFORMS). She is a Fellow of INFORMS and has held numerous roles in INFORMS, including board member and chair of the INFORMS Decision Analysis Society. She is a recipient of the George F. Kimball Medal from INFORMS. She has served as the decision analyst on three National Academy of Sciences committees. She has been appointed to the editorial board of the new EURO Journal on Decision Processes. Email:[email protected].

Dorota Kurowicka (“Conditionalization of Copula-Based Models”) studied mathematics at the University of Gdańsk, Gdańsk, Poland, and specialized in numerical methods. She performed her Ph.D. research at the Gdynia Maritime Academy and the Delft University of Technology. She received her Ph.D. from Delft University in 2000. Since then, she has been employed at Delft Institute of Applied Mathematics, first as an assistant professor and from 2006 on as an associate professor. Her current research is carried out in the area of uncertainty and risk analysis. Email:[email protected].

Kate Larson (“Sharing Rewards Among Strangers Based on Peer Evaluations”) is an associate professor in the Cheriton School of Computer Science at the University of Waterloo. She received her Ph.D. in computer science from Carnegie Mellon University. She is interested in issues that arise in settings where self-interested agents interact and works with ideas that lie in the intersection of artificial intelligence, game theory, and microeconomics. In particular, she is interested in understanding how computational limitations influence strategic behavior in multiagent systems, as well as developing approaches to overcome such computational issues. Email:[email protected].

Patrick S. Noonan (“Communicating Analytic Results: A Tutorial for Decision Consultants”) is an associate professor in the practice of decision and information analysis at Emory University, where he also serves as associate dean of Management Practice. His coursework and writing spans decision modeling, applications of game theory and strategic decision making, and structured problem solving. He received his Ph.D. in decision sciences from Harvard University. Previously he worked as a management consultant at McKinsey & Company, and as cofounder and director of Planning Technologies Group. He also holds an M.B.A. and B.S. in engineering and applied science from Yale University. He is the author of Decision and Information Analysis, a textbook on analytics (published by McGraw-Hill). Email:[email protected].

Andrew Samuel (“Resource Allocation for Homeland Defense: Dealing with the Team Effect”) is an assistant professor in the Department of Economics at the Sellinger School of Business, Loyola University Maryland. His research focuses on contract theory, game theory, and the economics of incentives. He is especially interested in applying these topics to study the economics of corruption and bribery and has published several articles on the incentives for corruption within organizations. He received a B.A. in economics from Calvin College and an M.A. and Ph.D. in economics from Boston College. Email:[email protected].

Paula Sarabando (“A Note on a Group Preference Axiomatization with Cardinal Utility”) received her B.S. degree in mathematics and M.Sc. degree in information management from the University of Coimbra, Portugal, in 2003 and 2006, respectively. In early 2011, she finished her Ph.D. in management science applied to decisions at the School of Economics of the University of Coimbra, with a thesis on multiattribute decision analysis with ordinal information. She is currently a lecturer at the Escola Superior de Tecnologia de Gestão de Viseu (Polytechnic Institute of Viseu, Portugal) and a researcher at the INESC Coimbra R&D Institute. Her interests include decision analysis, namely, evaluation with multiple criteria, evaluation with multiple actors (group decision and negotiation), and working with qualitative and ordinal information. Email:[email protected].