Community-Engaged Environmental Data Science Training
July 9 @ 9:00 am – July 10 @ 5:00 pm
The Community-Engaged Environmental Data Science Training is a two-day intensive course featuring lectures on key concepts in solution-oriented, community environmental health research. Lectures will cover areas ranging from exposure assessment techniques to epidemiologic methods, community engagement practices, health policy applications, data science, and statistical analytic approaches for doing environmental health science that is in partnership with and relevant for improving community health.
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-engaged research, and analytic approaches, such as interaction and mediation.
Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.
Additional Information:
- Prerequisites and Requirements: There are two requirements to attend this training: 1) 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. 2) Each participant is required to have a personal laptop/computer and a free, basic Posit Cloud (formerly RStudio Cloud) account. All lab sessions will be done using Posit Cloud.
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- Email us: ColumbiaSHARP.CEH@gmail.com
- See website for more details
- Capacity is limited. Paid registration is required to attend.