Date: June 29-July 1, 2026
Location: Duke University Campus
Attendees: Graduate students interested in Superfund sites
Registration: If you would like to attend the workshop, please sign up on this Google Form by Monday, June 1: https://docs.google.com/forms/d/e/1FAIpQLSddFQMGEKkxNE70DsHESIffhnr4DrfsDzGATZhCVKgJDmpDow/viewform?usp=publish-editor
Space is limited to 20 trainees. There will be two 1-hour sessions each of the three days (exact times and classrooms TBD).
Summary: The workshops will demonstrate how to use cutting-edge computational tools and public databases to assess chemical risk: skills that will likely be useful for many trainees in their research, and also for getting jobs afterwards. This is a dream team of experts—they were all part of EPA’s computational toxicology group.
We will provide hands-on exercises (RMarkdown format) stepping through how to identify risk-relevant information for a list of chemicals. Participants would leave with the script to perform the analysis and gain experience in understanding each step. Short lectures, followed by walkthroughs, would cover obtaining information on 1) Traditional hazard, 2) New approach methods (NAMs) for hazard, 3) Toxicokinetics and route of exposure, 4) Environmental occurrence, 5) Exposure modeling, and 6) Risk-based prioritization. Each section will have 25 min of lecture followed by 25 minutes of questions/hands-on walkthrough.
Materials: Laptop with internet connectivity
Topics:
SSA Consumer products (Stanfield et al, 2025)
Traditional hazard (Chelsea Weitekamp)
- Chemical Data Landscape
- Review of legal requirements for chemical safety testing
- Traditional Approach Methods Database
Database Calibrated Assessment Product (https://doi.org/10.23645/epacomptox.28021040)
Bioactivity data (Katie Paul Friedman)
- Chemical Data Landscape
- ToxCast/Tox21
- In Vitro Points of Departure (PODs)
- Quantitative Structure-Property Relationship (QSPR) Models
Human Equivalent Doses
Dosimetry (John Wambaugh)
- Chemical Data Landscape
- High Throughput Toxicokinetics (HTTK)
- Evaluating HTTK Predictions (CvTdb/invivoPKfit)
A Decision Tree for Applying HTTK in Risk Assessment
Chemical Use, Release, and Environmental Occurrence (Kristin Isaacs)
- Chemical exposure data landscape from source to receptor
- ChemExpo / Chemicals and Products Database (CPDat)
- Environmental Release and Media Occurrence
Biomonitoring / NHANES
Exposure Modeling (Kristin Isaacs)
- High Throughput Exposure Models
- High Throughput Stochastic Human Exposure Dose Simulator (SHEDS-HT)
- Systematic Empirical Evaluation of Models (SEEM)
Quantitative Structure-Use Models (QSURs)
Public Health Risk Tools (John Wambaugh)
- Bioactivity:Exposure Ratio
Case studies
- APCRA (Paul Friedman et al., 2020)
- SSA Biomonitoring (Phillips et al, 2024)