Generic Clearance for Decision Science Data Collections

The core mission of the National Institute of Standards and Technology (NIST) is to promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. NIST’s operating units increasingly recognize that the built environment is meant to serve social and economic functions. With this in mind, NIST proposes to conduct a number of data collection efforts directly related to decision-making across individuals, institutions, and communities relevant to key research areas of the agency. The use of decision and information science is critical to further the mission of NIST to promote U.S. innovation and industrial competitiveness. NIST proposes to conduct a number of data collection efforts in decision and information science to include: decision analysis, risk analysis, cost-benefit and cost-effectiveness analysis, constrained optimization, simulation modeling, and application of perception, information processing, and decision models and theories; and drawing on parts of operations research, microeconomics, statistical inference, management control, cognitive and social psychology, and computer science. By focusing on decisions as the unit of analysis, decision science provides a unique framework for understanding interactions across technologies, socio-economic networks, organizations (e.g., institutions, firms), elements of the built environment, and a range of ecological problems and perceptions that influence these decisions. Data may be collected through a variety of modes, including but not limited to electronic or social media, direct or indirect observation (i.e., in-person, video and audio collections), interviews, structured questionnaires, observational study designs, and focus groups.

The latest form for Generic Clearance for Decision Science Data Collections expires 2028-01-31 and can be found here.

Measurement of Risk Preferences and Perception for Experts in Community Resilience Planning Fields

Federal Enterprise Architecture: General Science and Innovation - Scientific and Technological Research and Innovation