| The library study at Fresno State HD Delcore, J Mullooly, M Scroggins, K Arnold, E Franco, J Gaspar Fresno, CA: Institute of Public Anthropology, California State University …, 2009 | 54 | 2009 |
| Labor Out of Place: On the Varieties and Valences of (In)visible Labor in Data-Intensive Science MJ Scroggins, IV Pasquetto Engaging Science, Technology, and Society 6 (2020), 111-132, 2020 | 26 | 2020 |
| The meanings of production (s): Showbiz and deep plays in finance and DIYbiology D Souleles, M Scroggins Economy and Society 46 (1), 82-102, 2017 | 12 | 2017 |
| Once FITS, always FITS? Astronomical infrastructure in transition M Scroggins, BM Boscoe IEEE Annals of the History of Computing 42 (2), 42-54, 2020 | 10 | 2020 |
| Culture of poverty: critique H Varenne, M Scroggins International Encyclopedia of the Social & Behavioral Sciences (Second …, 2015 | 10 | 2015 |
| Thorny Problems in Data (-Intensive) Science MJ Scroggins, IV Pasquetto, RS Geiger, BM Boscoe, PT Darch, ... | 7 | 2019 |
| Ignoring Ignorance: Notes on Pedagogical Relationships in Citizen Science M Scroggins Engaging Science, Technology, and Society 3 (2017), 206-223, 2017 | 6 | 2017 |
| This Is a New Thing in the World”: Design and Discontent in the Making of a “Garage Lab MJ Scroggins Columbia University, 2017 | 6 | 2017 |
| Designing, Animating, and Repairing a Suitable Do-It-Yourself Biology Lab M Scroggins, H Varenne Educating in Life, 49-62, 2019 | 5 | 2019 |
| Poverty and the savage slot MJ Scroggins Diaspora, Indigenous, and Minority Education 14 (2), 70-74, 2020 | 4 | 2020 |
| Collaborative ethnography at scale: Reflections on 20 years of data integration CL Borgman, MF Wofford, MS Golshan, PT Darch, MJ Scroggins | 4 | 2020 |
| The allure of prizes: How contests trap us in competitive relationships M Scroggins, D Souleles Competition. What It Is and Why It Happens, 147-161, 2021 | 3 | 2021 |
| A feral science? Dangers and disruptions between DIYbio and the FBI M Scroggins Critique of Anthropology 43 (1), 84-105, 2023 | 2 | 2023 |
| How Should Innovation Work? M Scroggins People Before Markets, 408-426, 2022 | | 2022 |
| What the Knowledge in Knowledge Infrastructures Does M Scroggins | | 2020 |
| Maintaining FITS! Some lessons from (and perils of) successful long-term software maintenance MJ Scroggins, BM Boscoe | | 2019 |
| Labor Out of Place: On the Varieties and Valences of (In) visible Labor in Data-Intensive M Scroggins, I Pasquetto | | 2019 |
| Designing, Animating, and Repairing a Suitable Do-it-Yourself Biology Lab H Scroggins, Michael and Varenne Educating in Life: Educational Theory and the Emergence of New Normals, 2019 | | 2019 |
| The FAIR Money Collective M Scroggins Applied Anthropology Unexpected Spaces, Topics and Methods, 65-78, 2015 | | 2015 |
| Thorny Problems in Data (-Intensive) Science Data scientists face challenges spanning academic and non-academic institutions. CL Borgman, MJ Scroggins, IV Pasquetto, RS Geiger, BM Boscoe, ... | | |
Irene V. Pasquetto, Ph.D.Assistant Professor - University of MarylandVerified email at umd.edu
