Science Inventory

Risk Assessment Training Experience (RATE) – University of Iowa Superfund Research Center.

Citation:

Arzuaga, X. AND G. Lehmann. Risk Assessment Training Experience (RATE) – University of Iowa Superfund Research Center. University of Iowa Superfund Research Program, Iowa City, Iowa, October 02, 2017.

Impact/Purpose:

Objective of these lecture is to present RATE modules at the University of Iowa - Superfund Research Center on October 2. Tentative agenda: • Introduction and course goals [15-20 minutes] (Xabier Arzuaga and Geniece Lehmann) • Introduction to risk assessment [60 minutes] (Geniece Lehmann) • Laws and regulatory foundations for risk assessment [60 minutes] (Geniece Lehmann) • Overview of human health risk assessment [60 minutes] (Xabier Arzuaga) • How Toxicology Research Is Used in Human Health Risk Assessment: Study Design and Evaluation [60 minutes] (Geniece Lehmann) • General Concepts of Exposure Assessment [60 minutes] (Xabier Arzuaga) • EPA’s Exposure Factors Interactive Resource for Scenarios Tool [60 minutes] (Xabier Arzuaga)

Description:

These modules will offer hands-on training in the primary areas of risk assessment (i.e., legal background, hazard identification, dose-response assessment, exposure assessment, and risk characterization) at the University of Iowa Superfund Research Program on October 2, 2017. An additional module covering EPA’s Exposure Factors Interactive Resource for Scenarios Tool (or ExpoFIRST) was added to the list of modules and is based on previous presentations by NCEA staff. Goals of the course: Identify the four risk assessment steps, their definitions, and how each contributes to a risk assessment’s overall conclusions; become familiar with risk assessment terminology; learn definitions of reference concentration, reference dose and cancer slope factor; and become familiar with exposure assessment.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:10/02/2017
Record Last Revised:10/06/2017
OMB Category:Other
Record ID: 337807