*The 2026 CEEDS Training is a hybrid setup with an in-person training taking place at the University of Washington in Seattle, WA and simultaneously livestreamed for remote attendees*
This two-day training will provide environmental health scientists with training in community environmental health research. The training’s multi-disciplinary approach will cover the steps involved in conducting informed, effective, and solution-driven community environmental health research. Our team consists of scientists with over 30 years of combined research in the fields of environmental health, sociology, epidemiology, health policy, community engagement, and biostatistics. Lectures will cover key concepts, frameworks, and methods for conducting community environmental health research. We will then build on this knowledge with hands-on learning experiences from case studies that allow participants to apply real-world datasets to address key research questions in environmental health and community health using exposure assessment techniques, epidemiologic methods, community-based participatory research, and analytic approaches, such as interaction and mediation.
By the end of the training, participants will be familiar with the following topics:
- Sociological constructs and theories relevant to environmental health
- Epidemiologic conceptual framework
- Study design advantages and challenges
- Data collection, questionnaire design, and measurement error
- Data analysis: basics of interaction and mediation
- Emerging topics and methods in community environmental health research
Audience and Requirements
Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. There are two requirements to attend this training:
- Basic familiarity with R is recommended to get the most out of the training. If you have not used this platform before or need a refresher, step through the tutorials outlined below so you have the basic skills needed for success.
- Each participant is required to have a personal laptop/computer and a free, basic Posit Cloud (formerly RStudio Cloud) account. Lab sessions will be done using Posit Cloud.
Additional Information
Capacity is limited. Paid registration is required to attend.