Priority Challenges for Social and Behavioral Research and Its Modeling

Abstract

In the years ahead, social-behavioral (SB) modeling (i.e., modeling that reflects behavior of individuals and social entities) should help us (1) understand certain classes of SB phenomena with national significance; (2) anticipate how those phenomena may plausibly unfold; (3) estimate potential desirable and undesirable effects of additional events in the world or of possible U.S. or adversary interventions; and (4) inform decision making. The phenomena of interest span a broad gamut that includes radicalization for terrorism, the weakening of democracy and national cohesion by foreign information operations campaigns, improving prospects for stability after international interventions, managing behaviors of populations after natural disasters, and dealing with opioid or obesity epidemics. Each such topic would be a good national challenge, as discussed later. Each has complex multi-dimensional social phenomena that are difficult to analyze without the unique power of modeling. In other domains, such modeling helps planners to strategize, plan, design, and adapt. It helps to avoid blunders and bad side effects of policy interventions. Todays SB modeling and related analysis is contributing far less to the study of such national issues than it could. Major advances are needed. But in what? In this report we summarize the primary current shortcomings and obstaclessome inherent and some due to current methods and practices. We identified these obstacles through a review of recent trends and previous research in social-behavioral modeling and simulation, and through discussions and one-on-one conversations with leading experts in this area at RAND workshops and other conferences. In this report we then identify and discuss steps that deserve priority attention. Some of our suggestions build on earlier studies; some are newer and more radical.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2018
Accession Number
AD1085858

Entities

People

  • Angela O'Mahony
  • Katharine Sieck
  • Osonde A. Osoba
  • Paul K. Davis
  • Timothy R. Gulden

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Cyber
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Climate Change
  • Cognitive Systems Engineering
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Data Mining
  • Geography
  • Information Science
  • International Relations
  • Mathematical Models
  • National Security
  • Recreation
  • Social Media
  • Software Development
  • Terrorism

Readers

  • Strategic Security Studies
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.