About the Authors

Ali E. Abbas (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis”) is an associate professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana–Champaign. He received an M.S. in electrical engineering (1998), an M.S. in engineering economic systems and operations research (2001), a Ph.D. in management science and engineering (2003), and a Ph.D. (minor) in electrical engineering, all from Stanford University. He worked as a lecturer in the Department of Management Science and Engineering at Stanford and in Schlumberger Oilfield Services, where he held several international positions in wireline logging, operations management, and international training. He has also worked on several consulting projects for mergers and acquisitions in California, and cotaught several executive seminars on decision analysis at Strategic Decisions Group in Menlo Park, California. His research interests include utility theory, decision making with incomplete information and preferences, dynamic programming, and information theory. Dr. Abbas is a senior member of the IEEE and a member of the Institute for Operations Research and the Management Sciences (INFORMS). He is also an associate editor for the Decision Analysis and Operations Research journals of INFORMS. Address: Department of Industrial and Enterprise Systems Engineering, College of Engineering, University of Illinois at Urbana–Champaign, 117 Transportation Building, MC-238, 104 South Mathews Avenue, Urbana, IL 61801; e-mail: [email protected].

J. Eric Bickel (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis”) is an assistant professor in both the Graduate Program in Operations Research (Department of Mechanical Engineering) and the Department of Petroleum and Geosystems Engineering at the University of Texas at Austin. In addition, Professor Bickel is a fellow in both the Center for International Energy and Environmental Policy and the Center for Petroleum Asset Risk Management. He holds an M.S. and Ph.D. from the Department of Engineering–Economic Systems at Stanford University and a B.S. in mechanical engineering with a minor in economics from New Mexico State University. His research interests include the theory and practice of decision analysis and its application in the energy and climate-change arenas. His research has addressed the modeling of probabilistic dependence, value of information, scoring rules, calibration, risk preference, education, decision making in sports, and climate engineering as a response to climate change. Prior to returning to academia, Eric was a senior engagement manager for Strategic Decisions Group. He has consulted around the world in a range of industries, including oil and gas, electricity generation/transmission/delivery, energy trading and marketing, commodity and specialty chemicals, life sciences, financial services, and metals and mining. Address: Graduate Program in Operations Research, University of Texas at Austin, 1 University Station, C2200, Austin, TX 78712-0292; e-mail: [email protected].

Vicki M. Bier (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis” and “Target-Hardening Decisions Based on Uncertain Multiattribute Terrorist Utility”) is a full professor in the Department of Industrial and Systems Engineering at the University of Wisconsin–Madison, where she is currently department chair and also directs the Center for Human Performance and Risk Analysis. She is also the president of the Decision Analysis Society. Her research interests include applications of operations research, risk analysis, and decision analysis to problems of homeland security and critical infrastructure protection. Address: Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Mechanical Engineering Building, Room 3270A, 1513 University Avenue, Madison, WI 53706; e-mail: [email protected].

David V. Budescu (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis”) is the Anne Anastasi Professor of Psychometrics and Quantitative Psychology at Fordham University. He held positions at the University of Illinois and the University of Haifa, and visiting positions at Carnegie Mellon University, University of Gotheborg, the Kellogg School of Management at Northwestern University, the Hebrew University, and the Israel Institute of Technology (Technion). His research is in the areas of human judgment, individual and group decision making under uncertainty and with incomplete and vague information, and statistics for the behavioral and social sciences. He is on the editorial boards of Applied Psychological Measurement; Decision Analysis; Journal of Behavioral Decision Making; Journal of Mathematical Psychology; Journal of Experimental Psychology: Learning, Memory & Cognition (2000–2003); Multivariate Behavioral Research; Organizational Behavior and Human Decision Processes (1992–2002); and Psychological Methods (1996–2000). He is past president of the Society for Judgment and Decision Making (2000–2001), fellow of the Association for Psychological Science, and an elected member of the Society of Multivariate Experimental Psychologists. Address: Department of Psychology, Fordham University, Bronx, New York, NY 10458; e-mail: [email protected].

John C. Butler (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis”) is a clinical associate professor of finance and the academic director of the Energy Management and Innovation Center in the McCombs School of Business at the University of Texas at Austin, and he is the secretary/treasurer of the INFORMS Decision Analysis Society. Butler received his Ph.D. in management science and information systems from the University of Texas at Austin in 1998. His research interests involve the use of decision science models to support decision making, with a particular emphasis on decision and risk analysis models with multiple performance criteria. Butler has consulted with a number of organizations regarding the application of decision analysis tools to a variety of practical problems. Most of his consulting projects involve use of Visual Basic for Applications and Excel to implement complex decision science models in a user friendly format. Address: Energy Management and Innovation Center, McCombs School of Business, University of Texas at Austin, Austin, TX 78712-1178; e-mail: [email protected].

Stephen P. Chambal (“A Practical Procedure for Customizable One-Way Sensitivity Analysis in Additive Value Models”) earned a Ph.D. from Arizona State University in industrial engineering and is vice president for the Perduco Group responsible for strategic business development for federal services. The Perduco Group provides high-end operations research and business intelligence support to the Department of Defense. Dr. Chambal recently retired from the U.S. Air Force after more than 24 years of honorable service. Most recently, he served as the director of Operational Analysis for the Air Force Institute of Technology. Dr. Chambal enlisted in the Air Force in 1986 and obtained his commission from the Air Force Academy in 1993. He held various assignments within the scientific analysis career field, including test, space, and special programs and has authored or coauthored numerous articles, white papers, and conference presentations. Address: 256 Earlsgate Road, Dayton, OH 45440; e-mail: [email protected].

Philippe Delquié (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis”) is an associate professor of decision sciences at the George Washington University and holds a Ph.D. from the Massachusetts Institute of Technology. Professor Delquié's teaching and research are in decision, risk, and multicriteria analysis. His work addresses behavioral and normative issues in preference assessment, value of information, nonexpected utility models of choice under risk, and risk measures. Prior to joining the George Washington University, Delquié held academic appointments at INSEAD, École Normale Supérieure, France, and the University of Texas at Austin, and visiting appointments at Duke University's Fuqua School of Business. Address: Department of Decision Sciences, The George Washington University, Funger Hall, Suite 415, Washington, DC 20052; e-mail: [email protected].

Alex J. Gutman (“A Practical Procedure for Customizable One-Way Sensitivity Analysis in Additive Value Models”) is a research associate for the Air Force Institute of Technology's (AFIT) Center for Operational Analysis. He holds an M.S. and B.S. in mathematics from Wright State University and is currently a Ph.D. student at AFIT. His research interests include decision analysis, algorithm design, and design of experiments. He is a member of the Institute for Operations Research and the Management Sciences (INFORMS), the Military Operations Research Society (MORS), and the International Test and Evaluation Association (ITEA). Address: Department of Operational Sciences, Air Force Institute of Technology, Dayton, OH 45433; e-mail: [email protected].

David J. Johnstone (“Tailored Scoring Rules for Probabilities”) is the National Australia Bank Professor of Finance at the University of Sydney. He holds a Ph.D. from the University of Sydney. His research is primarily in the statistical foundations of financial markets and financial decisions. His professional activities involve more conventional subjects in finance, particularly business valuation and capital budgeting. Address: Discipline of Finance H69, University of Sydney Business School, Sydney NSW 2006, Australia; e-mail: [email protected].

Victor Richmond R. Jose (“Tailored Scoring Rules for Probabilities”) is an assistant professor of Operations and Information Management in the McDonough School of Business at Georgetown University. His main research interests lie in decision analysis and the use of Bayesian statistical methods in management science, operations research, and risk analysis. Address: Operations and Information Management Department, McDonough School of Business, Georgetown University, Washington, DC 20057; e-mail: [email protected].

Yucel R. Kahraman (“A Practical Procedure for Customizable One-Way Sensitivity Analysis in Additive Value Models”) is a recent graduate of the Air Force Institute of Technology, where he received his M.Sc. in operations research. He graduated from ISIKLAR Military High School in Bursa in 1985 and entered the Turkish Air Force Academy in Istanbul. He graduated in 1993 with a bachelor's degree in aeronautical engineering. He completed pilot training at Laughlin AFB in Del Rio, Texas, and has flown fighter aircraft for the Turkish Air Force for 10 years. Address: Department of Operational Sciences, Air Force Institute of Technology, 2950 Hobson Way, WPAFB, Ohio 45433-7765; e-mail: [email protected].

L. Robin Keller (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis”) 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 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. Address: Merage School of Business, University of California, Irvine, Irvine, CA 92697-3125; e-mail: [email protected].

Kenneth C. Lichtendahl Jr. (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis”) is an assistant professor who teaches quantitative analysis courses in Darden's MBA program at the University of Virginia. His research focuses on eliciting, evaluating, and combining expert probability forecasts for use in dynamic decision situations. His current research projects include the performance of inference in Bayesian models of dynamic expert forecasts and the formulation optimal strategies in forecasting competitions. Lichtendahl joined the Darden faculty in 2006. Previously, he served as a visiting instructor in the economics department at Duke University. Currently, he also serves as a business consultant and director for the Tradewinds Beverage Company, which he cofounded in 1992. Address: Darden School of Business, University of Virginia, 100 Darden Boulevard, Charlottesville, VA 22903; e-mail: [email protected].

Jason R. W. Merrick (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis”) is a professor in the Department of Statistical Sciences and Operations Research at Virginia Commonwealth University. He has a D.Sc. in operations research from George Washington University. He teaches courses in decision analysis, risk analysis, and simulation. His research is primarily in the area of decision analysis and Bayesian statistics. He has worked on projects ranging from assessing maritime oil transportation and ferry system safety, the environmental health of watersheds, and optimal replacement policies for rail tracks and machine tools. He has received grants from the National Science Foundation, the Federal Aviation Administration, the U.S. Coast Guard, the American Bureau of Shipping, British Petroleum, and Booz-Allen-Hamilton, among others. He has also performed training for Infineon Technologies, Wyeth Pharmaceuticals, and Capital One Services. He is an associate editor for Decision Analysis and Operations Research. He is the information officer for the Decision Analysis Society. Address: Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VA 23284; e-mail: [email protected].

Ahti Salo (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis”) is a professor of systems analysis in the Department of Mathematics and Systems Analysis at Aalto University. His research interests include topics in portfolio decision analysis, multicriteria decision making, risk management, efficiency analysis, and technology foresight. He is currently president of the Finnish Operations Research Society (FORS) and represents Europe and the Middle East in the INFORMS International Activities Committee. Recently, he has been appointed Editor-in-Chief of the EURO Journal on Decision Processes, launched by the Association of European Operational Research Societies (EURO). Professor Salo has been responsible for the methodological design and implementation of numerous high-impact decision and policy processes, including FinnSight 2015, the national foresight exercise of the Academy of Finland and the National Funding Agency for Technology and Innovations (Tekes). Address: Systems Analysis Laboratory, Aalto University, P.O. Box 11100, 00076 Aalto, Finland; e-mail: [email protected].

Chen Wang (“Target-Hardening Decisions Based on Uncertain Multiattribute Terrorist Utility”) is currently a Ph.D. student in the Department of Industrial and Systems Engineering at the University of Wisconsin–Madison. She holds a master's degree in industrial engineering also from the same department. Chen works as a research assistant in the Center for Human Performance and Risk Analysis, under the supervision of Professor Vicki M. Bier. Her research interests include application of operations research and decision analysis in security problems and critical infrastructure protection. Address: 3239 Mechanical Engineering, University of Wisconsin–Madison, 1513 University Avenue, Madison, WI 53706; e-mail: [email protected].

Jeffery D. Weir (“A Practical Procedure for Customizable One-Way Sensitivity Analysis in Additive Value Models”) is an associate professor in the Department of Operational Sciences at the Air Force Institute of Technology. He has a Ph.D. in industrial and systems engineering from Georgia Tech. He teaches courses in decision analysis, risk analysis, and multiobjective optimization. His research interests are in the areas of decision analysis and transportation modeling. A former officer in the U.S. Air Force, he has worked on a wide variety of projects ranging from scheduling and routing aircraft, determining the value of future intelligence information, assessing the impact of FAA regulation changes to passenger and aircrew safety, and mode selection for multimodal multicommodity distribution networks. He has received grants from the Defense Intelligence Agency, U.S. Transportation Command, Air Force Material Command, the Joint Improvised Explosive Device Defeat Organization, Air Force Research Laboratory, and Pacific Northwest National Laboratory, among others. Address: Department of Operational Sciences, Air Force Institute of Technology, Dayton, OH 45433; e-mail: [email protected].

Robert L. Winkler (“Tailored Scoring Rules for Probabilities”) is James B. Duke Professor in the Fuqua School of Business at Duke University and also holds an appointment in the Department of Statistical Science at Duke. His primary research areas include decision analysis, Bayesian statistics, probability forecasting, competitive decision making, and risk analysis. Address: Fuqua School of Business, Duke University, 100 Fuqua Drive, Box 90120, Durham, NC 27708-0120; e-mail: [email protected].

George Wu (“From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis”) has been on the faculty of the University of Chicago Booth School of Business since September 1997. His degrees include A.B. (applied mathematics, 1985), S.M. (applied mathematics, 1987), and Ph.D. (decision sciences, 1991), all from Harvard University. Prior to joining the faculty at the University of Chicago, Professor Wu was on the faculty at Harvard Business School. Wu worked as a decision analyst at Procter & Gamble prior to starting graduate school. His research interests include descriptive and prescriptive aspects of decision making, in particular, decision making involving risk, cognitive biases in bargaining and negotiation, and managerial and organizational decision making. Professor Wu is a coordinating editor for Theory and Decision, an advisory editor for Journal of Risk and Uncertainty, and an associate editor of Decision Analysis. He is on the editorial board of the Journal of Behavioral Decision Making and is a former department editor of Management Science. Address: Booth School of Business, University of Chicago, 5807 South Woodlawn Avenue, Chicago, IL 60636; e-mail: [email protected].

Alexander Zimper (“Do Bayesians Learn Their Way Out of Ambiguity?”) is a professor in the Department of Economics at the University of Pretoria and holds a Ph.D. in economics from the University of Mannheim. He started out as a specialist on iterative solution concepts for strategic games, but his current research interests concern topics in economic theory in the broadest sense. He does not believe that there is one big truth out there but rather that classical as well as bounded-rationality approaches provide us with structures that may improve—within their respective limits—our understanding of reality. His most recent work is on plausible refinements of Roy Radner's rational expectations equilibrium, existence and uniqueness of an equilibrium price function in a Lucas fruit-tree economy with ambiguous beliefs, overreaction and underreaction in asset markets, and optimal liquidity provision under demand deposit schemes. His work in decision theory mainly concerns dynamically inconsistent behavior arising from ambiguity attitudes and, in particular, Bayesian learning modeled within nonadditive probability spaces. Address: Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa; e-mail: [email protected].