2017-07-19T17:03:55Z Copyright (c) 2017, The RAND Corporation RAND Corporation https://www.rand.org/topics/decisionmaking.html Dwayne M. Butler; Angelena Bohman; Christina Bartol Burnett; Julia A. Thompson; Amanda Kadlec; Larry Hanauer https://www.rand.org/pubs/research_reports/RR1930.html Jun 21, 2017 Jun 21, 2017

To help the Department of State mature its enterprisewide lessons-learned capabilities, this report explores best practices across fields of organizational theory and within both public and private organizations.

Frank Camm; John Matsumura; Lauren A. Mayer; Kyle Siler-Evans https://www.rand.org/pubs/research_reports/RR1664.html Jun 13, 2017 Jun 13, 2017

This document explains how to apply guidance on project evaluation to product support business case analyses in a way that allows senior Department of Defense decisionmakers to use net present value to compare courses of action.

RAND Corporation https://www.rand.org/giving/donor-profiles/kendall.html Jun 8, 2017 Jun 8, 2017

Alexander and Elizabeth Kendall joined the RAND Policy Circle because they wanted to make a difference, and saw their support of RAND as an investment in the search for facts over factions.

RAND Corporation https://www.rand.org/pubs/corporate_pubs/CP883.html May 31, 2017 May 31, 2017

This publication highlights recent RAND social and economic policy research projects that have produced important new policies, framed issues in new ways, balanced multiple priorities and difficult trade-offs, and prompted meaningful change.

Osonde A. Osoba; William Welser IV https://www.rand.org/pubs/research_reports/RR1744.html Apr 6, 2017 Apr 6, 2017

Machine learning algorithms and artificial intelligence (AI) influence many aspects of life today. These agents are not exempt from errors or bias because they are designed, built, and taught by humans. While AI has great promise, using it introduces a new level of risk and complexity in policy.

Sarah Nowak; Luke Joseph Matthews; Andrew Parker https://www.rand.org/pubs/research_reports/RR1768.html Mar 31, 2017 Mar 31, 2017

This report describes a general agent-based model (ABM) for studying social learning, and uses that general ABM to explore the relationship between micro-influence and macro-dynamics for broad classes of problems.

Megan McKernan; Nancy Young Moore; Kathryn Connor; Mary E. Chenoweth; Jeffrey A. Drezner; James Dryden; Clifford A. Grammich; Judith D. Mele; Walter T. Nelson; Rebeca Orrie; Douglas Shontz; Anita Szafran https://www.rand.org/pubs/research_reports/RR1534.html Mar 27, 2017 Mar 27, 2017

This report examines Department of Defense acquisition data and the information systems where it resides and offers insights into improving the management, availability, and usefulness of this information.

Min Gong; Robert J. Lempert; Andrew Parker; Lauren A. Mayer; Jordan R. Fischbach; Matthew Sisco; Zhimin Mao; David H. Krantz; Howard Kunreuther https://www.rand.org/pubs/external_publications/EP67012.html Mar 16, 2017 Mar 16, 2017

Decision support tools are known to influence and facilitate decisionmaking through the thoughtful construction of the decision environment. However, little research has empirically evaluated the effects of using scenarios and forecasts.

David Groves; Debra Knopman; James Syme; Nidhi Kalra; Zhimin Mao https://www.rand.org/pubs/research_reports/RR1682.html Mar 9, 2017 Mar 9, 2017

RAND evaluated potential effects of uncertain projections of demand and climate change on the ability of the Jinan Municipal Water Resources Bureau to meet its long-term water resources goals for Shandong Province's capital city.

Michael D. Rich https://www.rand.org/pubs/corporate_pubs/CP401-2016.html Jan 19, 2017 Jan 19, 2017

RAND President and CEO Michael Rich offers a year-end assessment of RAND's impact, highlighting ways in which the organization's findings and recommendations are helping to improve the health, security, and prosperity of individuals and communities throughout the world. This Year in Review reflects on RAND's achievements in 2016.

Debra Knopman; Robert J. Lempert https://www.rand.org/pubs/research_reports/RR1144.html Dec 7, 2016 Dec 7, 2016

More than 80 percent of the U.S. population lives in urban areas. Thus, cities lie at the epicenter of America's response to climate change. Analysis can inform how cities choose strategies and allocate resources.

JoNell Strough; Wandi Bruine de Bruin; Andrew Parker; Tara Karns; Philip Lemaster; Nipat Pichayayothin; Rebecca Delaney; Rachel Stoiko https://www.rand.org/pubs/external_publications/EP66649.html Sep 29, 2016 Sep 29, 2016

Our findings offer new information about the introspective processes associated with an intervention to reduce sunk-cost bias in a decision about project completion.

Paul K. Davis https://www.rand.org/pubs/research_reports/RR1469.html Sep 12, 2016 Sep 12, 2016

This report stems from a congressional request for an independent report about the U.S. Department of Defense's capabilities for joint analysis and ways to improve them.

David Groves; Robert J. Lempert; Deborah W. May; James R. Leek; James Syme https://www.rand.org/pubs/conf_proceedings/CF339.html Aug 25, 2016 Aug 25, 2016

Researchers from RAND and the Lawrence Livermore National Laboratory used high-performance computer simulations to stress-test several water management strategies over many plausible future scenarios in near real time.

RAND Corporation https://www.rand.org/news/press/2016/08/25.html Aug 25, 2016 Aug 25, 2016

A workshop demonstrated how RAND's innovative analytic methods supported by Lawrence Livermore National Laboratory's advanced computing capabilities can improve decision and policymaking for particularly complex issues like water resource management.

Celine Miani; Catriona Manville; Peter Burge; Sonja Marjanovic; Joanna Chataway https://www.rand.org/pubs/research_reports/RR263.html Aug 19, 2016 Aug 19, 2016

A study investigating the decisionmaking process undertaken by physicians when prescribing treatment for Hepatitis C and the comparative influence and importance of specific factors and combinations of factors.

RAND Corporation https://www.rand.org/congress/activities/2016/08/03-4.html Aug 3, 2016 Aug 3, 2016

In this public policy analysis workshop led by Jeffrey Wasserman, director of RAND Health, participants learn about policy analysis tools and techniques—and gain an understanding of how they can be used to improve the quality of public policy decisionmaking. [Washington, DC]

Greg D. Sacks; Aaron J. Dawes; Susan L. Ettner; Robert H. Brook; Craig Fox; Melinda Maggard Gibbons; Clifford Y. Ko; Marcia M. Russell https://www.rand.org/pubs/external_publications/EP66567.html Jul 25, 2016 Jul 25, 2016

When presented with four common clinical scenarios, surgeons' perceptions of treatment risks and benefits vary widely.

Greg D. Sacks; Aaron J. Dawes; Susan L. Ettner; Robert H. Brook; Craig Fox; Marcia M. Russell; Clifford Y. Ko; Melinda Maggard Gibbons https://www.rand.org/pubs/external_publications/EP66562.html Jul 25, 2016 Jul 25, 2016

A surgical risk calculator could help surgeons make more accurate judgments of operative risks.

David Manheim; Margaret Chamberlin; Osonde A. Osoba; Raffaele Vardavas; Melinda Moore https://www.rand.org/pubs/research_reports/RR1576.html Jul 12, 2016 Jul 12, 2016

This report provides an overview of decision-support tools, including models and nonmodeling approaches, for policymakers and modelers and provides recommendations for using the tools to inform real-world infectious disease-related policy questions.