In our increasingly globally interconnected world, understanding and appreciating the sociocultural context within which individuals make their decisions is critical to developing successful partnerships. The collection of chapters in this volume illustrates how advances in information and social media technologies, as well as modeling and simulation tools, combined with the social sciences, can be leveraged to better understand how sociocultural context influences decision making. The chapters in this volume were contributed by leading experts from academia, industry, and government and provide: Insights into cross-cultural decision making based on recent international events, with grounding in an historical context Discussions of cutting-edge modeling techniques used today by professionals across multiple organizations and agencies Descriptions of specific cross-cultural decision making tools designed for use by laypeople and professionals Case studies on the role of cross-cultural decision making grounded in current events and (in many cases) military applications.

In our increasingly globally interconnected world, understanding and appreciating the sociocultural context within which individuals make their decisions is critical to developing successful partnerships. The collection of chapters in this volume illustrates how advances in information and social media technologies, as well as modeling and simulation tools, combined with the social sciences, can be leveraged to better understand how sociocultural context influences decision making. The chapters in this volume were contributed by leading experts from academia, industry, and government and provide: Insights into cross-cultural decision making based on recent international events, with grounding in an historical context Discussions of cutting-edge modeling techniques used today by professionals across multiple organizations and agencies Descriptions of specific cross-cultural decision making tools designed for use by laypeople and professionals Case studies on the role of cross-cultural decision making grounded in current events and (in many cases) military applications.

This volume examines the intersections between psychosocial theory provided from the social sciences and methods of computational modeling provided from computer science and mathematics.

This book reports on the latest advances in understanding human cognition and its interplay with various cultural constructs, such as geographical, historical, sociological, and organizational cultures. It addresses researchers, scholars, and industry practitioners from diverse backgrounds, including sociology, linguistics, business, military science, psychology, human factors, neuroscience, and education. The book covers a wealth of topics, such as the analyses of historical events and intercultural competence, commercial applications of social-cultural science, the study of decision-making similarities (and differences) across cultures, Human, Social, Cultural Behavioral (HSCB) modeling and simulation technology, as well as social networks and studies on group communication. It also reports on real-world case studies relevant to cross-cultural decision making. The book aims at combining neurocognitive studies with studies from other relevant disciplines to develop a more holistic understanding of the decisions that people, groups, and societies make to improve the ability to forecast and plan for the future. The book is based on the AHFE 2016 International Conference on Cross-Cultural Decision Making (CCDM), held on July 27-31, 2016, in Walt Disney World®, Florida, USA.

This book reports on the latest advances in understanding cross-cultural decision and human cognition with respect to various cultural constructs, such as geographical, historical, sociological, and organizational cultures. It addresses researchers, scholars, and industry practitioners from diverse fields, including sociology, linguistics, business, military science, psychology, human factors research, neuroscience, and education. The book covers a wealth of topics, including: analyses of historical events and intercultural competence; commercial applications of social-cultural science; the study of decision-making similarities (and differences) across cultures; cultural behavioral modeling and simulation technology; and social networks and studies on group communication alike. It also reports on real-world case studies relevant to cross-cultural decision-making. The book’s main goal is to combine studies from other relevant disciplines such as causal analysis in complex environments, team decision making and social changes to develop a more holistic understanding of the decisions that people, groups, and societies make, so as to improve our ability to forecast and plan for the future. Based on the AHFE 2017 International Conference on Cross-Cultural Decision Making (CCDM), held on July 17–21, 2017, in Los Angeles, California, USA, this book offers a multidisciplinary view on the impact of culture on people’s cognition and behavior, and a timely reference guide to new applications and future challenges.

This volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems