As an analyst for the Scientific Integrity Program at UCS, Gretchen Goldman researches influences and interference in how science is used in federal government policies.

Dr. Goldman came to UCS from the Georgia Institute of Technology where she was a postdoctoral research fellow working on statistical modeling of urban air pollution for use in epidemiologic studies of acute human health effects. Gretchen has three first-author publications in this area and has presented her research at several international academic conferences.  She has worked at the Northeast Regional Climate Center of the National Oceanic and Atmospheric Administration and interned with National Exposure Research Laboratory at the U.S. Environmental Protection Agency. 

Dr. Goldman holds a Ph.D. and M.S. in Environmental Engineering from the Georgia Institute of Technology and a B.S. in Atmospheric Science from Cornell University. 

Select Publications

Strickland, M; Gass, K; Goldman, G; Mulholland, J. 2013. Effects of ambient air pollution measurement error on health effect estimates in time series studies: A simulation-based analysis. Journal of Exposure Science and Environmental Epidemiology (In press).

Goldman, G; Mulholland, J; Russell, A.; Gass, K; Strickland, M; Klein, M; Tolbert, P. 2012. Characterization of ambient air pollution measurement error in a time-series health study using a geostatistical simulation approach. Atmospheric Environment 57, 101-108.

Goldman, G; Mulholland, J; Russell, A.; Strickland, M; Klein, M; Tolbert, P. Waller, L.; and Edgerton, E. 2011. Impact of exposure measurement error in air pollution epidemiology: Effect of error type in time-series studies. Environmental Health 10:61.

Goldman, G; Mulholland, J; Russell, A.; Srivastava, A.; Strickland, M; Klein, M; Tolbert, P. Waller, L.; and Edgerton, E. Ambient air pollutant measurement error: Characterization and impacts in a time-series epidemiologic study in Atlanta.  Environmental Science & Technology 44 (19) 7692-7698.

Padhye, L; Goldman, G; Szeinbaum, N; Rogers, S; Goktas, R; Kurt, Z. 2009. The online survey: An efficient and effective means of engineering graduate student assessment. Manuscript in conference proceedings of the 116^th Annual Conference of the American Society of Engineering Education, Austin, TX.

See UCS Publications