| Title | Labor Out of Place: On the Varieties and Valences of (In)visible Labor in Data-Intensive Science |
| Publication Type | Journal Article |
| Authors | Scroggins, Michael J., and Irene V. Pasquetto |
| Journal | Engaging Science, Technology, and Society |
| Volume | 6 |
| Pagination | 111-132 |
| ISSN | 2413-8053 |
| Abstract | We apply the concept of invisible labor, as developed by labor scholars over the last forty years, to data-intensive science. Drawing on a fifteen-year corpus of research into multiple domains of data-intensive science, we use a series of ethnographic vignettes to offer a snapshot of the varieties and valences of labor in data-intensive science. We conceptualize data-intensive science as an evolving field and set of practices and highlight parallels between the labor literature and Science and Technology Studies. Further, we note where data-intensive science intersects and overlaps with broader trends in the 21st century economy. In closing, we argue for further research that takes scientific work and labor as its starting point. |
| URL | https://estsjournal.org/index.php/ests/article/view/341 |
| DOI | 10.17351/ests2020.341 |
| Short Title | Labor Out of Place |
