A high throughput workflow environment for cosmological simulations. - Brandon M. S. Erickson; Raminderjeet Singh; August E. Evrard; Matthew R. Becker; Michael T. Busha; Andrey V. Kravtsov; Suresh Marru; Marlon E. Pierce; Risa H. Wechsler (XSEDE, 2012)

Enabling dark energy survey science analysis with simulations on XSEDE resources. - Brandon M. S. Erickson; Raminderjeet Singh; August E. Evrard (XSEDE, 2013)

Persistent, Global Identity for Scientists via ORCID. - August E. Evrard; Christopher Erdmann; Jane Holmquist; James Damon; Dianne Dietrich (CoRR, 2015)

Crowdsourcing quality control for Dark Energy Survey images. - Peter Melchior; Erin Sheldon; Alex Drlica-Wagner; Eli S. Rykoff; Timothy M. C. Abbott; Filipe B. Abdalla; Sahar Allam; Aurélien Benoit-Lévy; David D. Brooks; Elizabeth Buckley-Geer; Aurelio Carnero Rosell; Matias Carrasco Kind; et al. (Astron. Comput., 2016)

DES science portal: Computing photometric redshifts. - Julia Gschwend; A. Carnero Rossel; Ricardo Ogando; Angelo Fausti Neto; Marcio A. G. Maia; Luiz Nicolaci da Costa; Marcos Lima; Paulo S. S. Pellegrini; Riccardo Campisano; C. Singulani; C. Adean; Christophe O. Benoist; et al. (Astron. Comput., 2018)

DES science portal: Creating science-ready catalogs. - Angelo Fausti Neto; Luiz Nicolaci da Costa; Aurelio Carnero Rosell; Julia Gschwend; R. L. C. Ogando; Flavia Sobreira; Marcio A. G. Maia; Basillio X. Santiago; Rogério Rosenfeld; C. Singulani; C. Adean; L. D. P. Nunes; et al. (Astron. Comput., 2018)

Differential Assessment, Differential Benefit: Four-year Problem Roulette Analysis of STEM Practice Study. - Noah Weaverdyck; Dhayaa Anbajagane; August E. Evrard (L@S, 2020)

A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. - Sunil Mucesh; William G. Hartley; Antonella Palmese; Ofer Lahav; L. Whiteway; A. Amon; Keith C. Bechtol; Gary M. Bernstein; Aurelio Carnero Rosell; Matias Carrasco Kind; A. Choi; K. Eckert; et al. (CoRR, 2020)

How Did You Get that A? Selectivity's Role in Rising Undergraduate Grades at a Large Public University. - August E. Evrard; Kyle Schulz; Caitlin Hayward (LAK, 2021)

Identifying the Computing Education Needs of Liberal Arts and Sciences Students (Discussion Paper). - Mark Guzdial; August E. Evrard (Koli Calling, 2023)

Innovating at Campus Scale: The Case of Michigan's Atlas. - August E. Evrard; Rebecca Matz; Erin Murray; Ben Hayward; Mark Mills; Caitlin Hayward (L@S, 2023)

From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries. - Hugh Van Deventer; Mark Mills; August E. Evrard (CoRR, 2024)