Sociocultural Behavior Sensemaking: State of the Art in Understanding the Operational Environment

January 2015
Topics: Social Behavior, Human Computer Interaction, International Relations, Psychology, Collaborative Computing
Dr. Jill D. Egeth, The MITRE Corporation
Dr. Gary L. Klein, The MITRE Corporation
Dr. Dylan Schmorrow, Soar Technology
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The past several years have seen significant advances in research and development across the human social culture behavior modeling domain. In order to document and share these advances, The MITRE Corporation has produced Sociocultural Behavior Sensemaking: State of the Art in Understanding the Operational Environment. This edited volume features chapters authored by experts in sociocultural behavior sensemaking across four operational capability areas: Sociocultural Understanding, Detection, Forecasting, and Mitigation. Each of the four sections dedicated to an operational capability area contains four chapters that focus on Data Processing, Computational Modeling, Visualization, and Training. These chapters highlight examples of recent advances, discuss the science and technology gaps, and propose strategies for incorporating recent advances into operational use for each of the capability areas.

This book raises awareness about emerging technical capabilities for operational communities. In doing so, it also provides the research and development funding community with a map of technology gaps that call for future investments to transition these capabilities to the field.

Readers may download the entire book or select specific chapters.

Section One: Understanding

  1. Sociocultural approaches to understand human interaction: A discussion of new theoretical frameworks, issues, and modern communication technology
  2. Modeling cognitions, networks, strategic games, and ecologies
  3. Visualization for sociocultural understanding
  4. Training for sociocultural behavior understanding in operational environments

Section Two: Detecting

  1. Transforming data into information: Enabling detection and discovery for sociocultural analysis
  2. Current trends in the detection of sociocultural signatures: Data-driven models
  3. Visualization for sociocultural signature detection
  4. Cross-cultural training and education for detection

Section Three: Forecasting

  1. Data processing for applications of dynamics-based models to forecasting
  2. Computational sociocultural models used for forecasting
  3. Making sense of social radar: V-SAFT as an intelligent machine
  4. Training for sociocultural forecasting: Current status and science and technology gaps

Section Four: Mitigation

  1. Data interfaces for mitigation modeling: Supporting exchanges between models
  2. Methods and tools to analyze responding to, counteracting, and utilizing sociocultural behaviors
  3. Interactive data visualization for mitigation planning: Comparing and contrasting options
  4. Education and training for mitigation: Fully exploiting technology to shape potential futures
Download PDF (20.39 MB)

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