2023 Tour Schedule

2023 Birdsall-Dreiss Lecture Schedule Dr. Kenneth Belitz

Confirmed Dates (as of 3/23/2023)

Date Institution Location Topic
14-Feb-23 Pennsylvania State University College Station, PA Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology
15-Feb-23 Franklyn&Marshall College Lancaster, PA The Quality of Groundwater Used for Public Supply in the Continental United States
16-Feb-23 USGS PA Water Science Center New Cumberland, PA The Quality of Groundwater Used for Public Supply in the Continental United States
17-Feb-23 Binghamton University, SUNY Vestal, NY Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology
21-Feb-23 University at Buffalo, SUNY Buffalo, NY The Quality of Groundwater Used for Public Supply in the Continental United States
22-Feb-23 Syracuse University Syracuse, NY Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology
24-Feb-23 USGS NY Water Science Center Troy, NY Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology
11-Apr-23 University of Minnesota Minneapolis-St.Paul Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology
12-Apr-23 USGS Upper Midwest Water Science Center Madison, WI The Quality of Groundwater Used for Public Supply in the Continental United States
13-Apr-23 University of Wisconsin-Milwaukee Milwaukee, WI The Quality of Groundwater Used for Public Supply in the Continental United States
14-Apr-23 University of Wisconsin-Madison Madison, WI Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology
17-Apr-23 University of Nebraska Lincoln, NE The Quality of Groundwater Used for Public Supply in the Continental United States
19-Apr-23 USGS CO WSC Lakewood, CO The Quality of Groundwater Used for Public Supply in the Continental United States
20-Apr-23 CO School of Mines Golden, CO Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology
26-Apr-23 University of Arizona Tucson, AZ Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology
28-Apr-23 Northern Arizona University Flagstaff, AZ TBD
1-May-23 CSU-Long Beach Long Beach, CA Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology
2-May-23 UC-Riverside Riverside, CA The Quality of Groundwater Used for Public Supply in the Continental United States
3-May-23 San Diego State University San Diego, CA The Quality of Groundwater Used for Public Supply in the Continental United States
16-May-23 UCLA Los Angeles, CA Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology
18-May-23 UC-Davis Davis, CA The Quality of Groundwater Used for Public Supply in the Continental United States
19-May-23 USGS CA WSC and Groundwater Resources Assocation of CA Sacramento, CA Old problems, new approach: Applications of Ensemble-Tree Machine Learning to Hydrogeology