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2024 journal article
Effect of Community Water Service on Lead in Drinking Water in an Environmental Justice Community
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 58(3), 1441–1451.
2024 article
Research gaps and priorities for quantitative microbial risk assessment (QMRA)
Hamilton, K. A., Harrison, J. C., Mitchell, J., Weir, M., Verhougstraete, M., Haas, C. N., … Rose, J. B. (2024, May 21). RISK ANALYSIS.
2024 article
Shifting power: data democracy in engineering solutions
Cutts, B. B., Osia, U., Bray, L. A., Harris, A. R., Long, H. C., Goins, H., … Schnetzer, A. (2024, October 1). ENVIRONMENTAL RESEARCH LETTERS, Vol. 19.
2023 article
Accelerating Environmental Research to Achieve Sustainable Development Goals
Mihelcic, J. R., Barra, R. O., Brooks, B. W., Diamond, M. L., Eckelman, M. J., Gibson, J. M. D., … Zimmerman, J. B. (2023, November 14). ENVIRONMENTAL SCIENCE & TECHNOLOGY, Vol. 57, pp. 17167–17168.
2023 review
Burden of disease from contaminated drinking water in countries with high access to safely managed water: A systematic review
[Review of ]. WATER RESEARCH, 242.
2023 article
Environmental Research Addressing Sustainable Development Goals
Mihelcic, J. R., Barra, R. O., Brooks, B. W., Diamond, M. L., Eckelman, M. J., Gibson, J. M. D., … Zimmerman, J. B. (2023, February 22). ENVIRONMENTAL SCIENCE & TECHNOLOGY.
2023 article
Environmental Science for the Betterment of All
Gibson, J. M. D., Osman, K. K., Conroy-Ben, O., & Giang, A. (2023, July 27). ENVIRONMENTAL SCIENCE & TECHNOLOGY.
2023 article
Improved Decision Making for Water Lead Testing in US Child Care Facilities Using Machine-Learned Bayesian Networks
Mulhern, R. E., Kondash, A. J., Norman, E., Johnson, J., Levine, K., McWilliams, A., … Redmon, J. H. (2023, March 18). ENVIRONMENTAL SCIENCE & TECHNOLOGY.
2023 article
Predicting Groundwater PFOA Exposure Risks with Bayesian Networks: Empirical Impact of Data Preprocessing on Model Performance
Li, R., & Gibson, J. M. D. (2023, August 18). ENVIRONMENTAL SCIENCE & TECHNOLOGY.
2022 journal article
Predicting the occurrence of short-chain PFAS in groundwater using machine-learned Bayesian networks
FRONTIERS IN ENVIRONMENTAL SCIENCE, 10.
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