Administrative and Research Translation Core

2024 Apr 22

MEMCARE-SRC Executive Committee Mtg

Repeats on the third Monday of March, May, June, September, October, November, December until Mon Jun 17 2024 . Also includes Mon Jan 22 2024, Mon Feb 26 2024, Mon Apr 22 2024.
2:30pm

Location: 

HSPH-1 Room 1302 and via Zoom

Harvard T.H. Chan School of Public Health

Our Center is based that the Harvard T.H. Chan School of Public Health where the labs of Marc Weisskopf and David Christiani (Project 1), Quan Lu (Project 2), and Tamarra James-Todd (Community Engagement Core) are located in the Department of Environmental Health. The Research Experience and Training Cordination Core (Susan Korrick) and the Administrative (Quan Lu) and Research Translation Core (Trina von Stackelberg) are also based in the Department of Environmental Health. Brent Coull and Xihong Lin's groups (Data Management and Analysis Core) are in the Department of Biostatistics.

Quan Lu

Quan Lu

Principal Investigator and Superfund Research Center Director, and Project 2 Leader
Professor of Environmental Genetics and Physiology, Harvard T.H. Chan School of Public Health
Katherine von Stackelberg and Pamela RD Williams. 4/2021. “Evolving Science and Practice of Risk Assessment.” Risk Anal, 41, 4, Pp. 571-583. Publisher's VersionAbstract
Managing public health risks from environmental contaminants has historically relied on a risk assessment process defined by the regulatory context in which these risks are assessed. Risk assessment guidance follows a straightforward, chemical-by-chemical approach to inform regulatory decisions around the question "what is the risk-based concentration protective of human and ecological health outcomes?" Here we briefly summarize regulatory risk assessment in the context of innovative risk assessment approaches based on an evolving understanding of the underlying scientific disciplines that support risk analysis more broadly. We discuss scientific versus regulatory tensions in the application of these approaches for future risk assessments, and challenges in translating our improved understanding of the underlying scientific complexity to the regulatory landscape to better inform decision making that extends beyond conventional regulatory mandates.
PMID: 33295028; PMCID: PMC8257268 (available on 2022-04-01); DOI: 10.1111/risa.13647