ADVERTISEMENT RETURN TO ARTICLES ASAPPREVViewpointNEXTFostering Convergence: Strategies for Designing a Graduate Training Program at the Intersection of Environmental Engineering and Computational SciencesFangqiong Ling*Fangqiong LingDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States*[email protected]More by Fangqiong Linghttps://orcid.org/0000-0003-1546-5647, Daniel E. GiammarDaniel E. GiammarDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United StatesWashington University Center for the Environment, St. Louis, Missouri 63130, United StatesMore by Daniel E. Giammarhttps://orcid.org/0000-0002-4634-5640, Kimberly M. ParkerKimberly M. ParkerDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United StatesMore by Kimberly M. Parkerhttps://orcid.org/0000-0002-5380-8893, Jay R. TurnerJay R. TurnerDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United StatesMore by Jay R. Turner, and William YeohWilliam YeohDepartment of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United StatesMore by William YeohCite this: Environ. Sci. Technol. 2024, XXXX, XXX, XXX-XXXPublication Date (Web):March 1, 2024Publication History Received12 December 2023Published online1 March 2024https://doi.org/10.1021/acs.est.3c10491© 2024 The Authors. Published by American Chemical Society. This publication is licensed under CC-BY-NC-ND 4.0. License Summary*You are free to share (copy and redistribute) this article in any medium or format within the parameters below:Creative Commons (CC): This is a Creative Commons license.Attribution (BY): Credit must be given to the creator.Non-Commercial (NC): Only non-commercial uses of the work are permitted. No Derivatives (ND): Derivative works may be created for non-commercial purposes, but sharing is prohibited. View full license*DisclaimerThis summary highlights only some of the key features and terms of the actual license. It is not a license and has no legal value. Carefully review the actual license before using these materials. This publication is Open Access under the license indicated. Learn MoreArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (3 MB) Get e-AlertscloseSUBJECTS:Environmental modeling,Environmental science,Graduate education,Machine learning,Students Get e-Alerts
No takes yet. Share an insight, caveat, or question.
Ling et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: