How Does and Should Tort Liability Affect High-Consequence Life Sciences Research?
In this report, the authors explain the effect of tort liability on safety incentives for life sciences researchers and research institutions
In this report, the authors explain the effect of tort liability on safety incentives for life sciences researchers and research institutions
This policy brief is one of a series that focuses on OSH challenges and opportunities related to climate change and crises
This policy brief is one of a series that focuses on OSH challenges and opportunities related to climate change and crises
This policy brief is one of a series that focuses on OSH challenges and opportunities related to climate change and crises
This foresight study explores the indirect and cascading impacts of climate change on occupational safety and health and the future of work in Europe over the next 10 to 25 years
The WEST ROOK wargame examines how defense and civil authorities can better coordinate and allocate scarce resources during large-scale domestic emergencies
This paper describes a systematic framework for evaluating when and how to deploy AI systems for knowledge tasks
The purpose of this research is to assess the sustainability and effectiveness of California's Medical-Legal system with a focus on the role of Qualified Medical Evaluators in the system
Evaluates a single-session web intervention added to driver education for adolescents in Colorado. WebCHAT participants showed lower perceived peer alcohol and cannabis use norms at 6 months. Both groups reduced substance use and perceived impaired driving as riskier
This paper details how our team collected qualitative data about how chiropractic patients perceived pain chronicity, and how we used these findings to inform a national quantitative study
Since 2002, the State of Minnesota has provided health care coverage for its employees and their dependents using a tiered cost-sharing approach. This brief synthesizes findings from four studies examining the design and outcomes of this system
Open-weight AI models (OWMs) introduce distinct risk factors for which existing evaluation practices, largely designed for closed-weight model deployment, fail to account. The authors propose proportional evaluation approaches for OWMs