Key research themes
1. How can expert systems and job exposure matrices improve accuracy and scalability in occupational exposure assessment?
This research area addresses the challenge of accurately assessing individual occupational exposures across diverse jobs and tasks while maintaining feasibility for large epidemiological studies. It investigates the development and application of expert systems, combined with job exposure matrices (JEMs), to generate reliable, scalable, and specific exposure estimates. These innovations aim to overcome limitations of self-reports, generic job title classifications, and costly direct measurements, thereby facilitating better exposure characterization and risk evaluation.
2. What are the methodological advances and challenges in exposure measurement and modeling to support occupational exposure assessment and risk characterization?
This theme focuses on the development, validation, and application of empirical measurement methods and exposure modeling tools to quantify worker exposures accurately under varying industrial and environmental conditions. It includes evaluations of measurement technologies, model conservatism, data scarcity challenges, and the translation of exposure data into probabilistic risk characterizations. The integration of exposure data with risk assessment frameworks enhances occupational health decision-making.
3. How can occupational exposure registries and data collection practices be optimized to improve surveillance, epidemiology, and risk management?
This theme investigates the design, implementation, and utilization of occupational exposure registries and database systems to systematically collect and store worker exposure data. It explores strengths and limitations of voluntary vs. mandatory registrations, data standardization challenges, and the use of datasets held by workers' compensation insurers. Optimizing these practices can augment occupational exposure surveillance, facilitate research, and inform policy and preventive interventions.