Bootstrapping the Boundary between Research and Environmental Management
The TMDL as a Point of Engagement between Science and Governance
Bibliographic Data
| ID | 5409239 |
|---|---|
| Authors | Stephen C Slota (0000-0001-6526-8030, Department of Informatics, Donald Bren School of Information and Computer Science, University of California, Irvine, CA, USA, corresponding author) |
| Year | 2022 |
| Volume | 47 |
| Issue | 4 |
| Pages | 750-773 |
| Publication date | 2022-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Science Technology & Human Values (JOURNAL) |
| Journal identifiers | ISSN: 0162-2439 • E-ISSN: 1552-8251 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/01622439211026364 |
| OpenAlex | W3176327379 |
| Language | EN |
| Citations received | 2 |
| References cited | 26 |
Knowledge produced by environmental scientists is often inaccessible, intractable, or otherwise in need of reconfiguration for use in environmental regulation. Similarly, policy knowledge undergoes decontextualization in its address to the community of researchers and data curators whose findings are fundamental to its operation. This paper addresses the development of the total maximum daily load (TMDL) measurement as a means of decontextualizing both scientific and regulatory processes to render the practical results of those processes available as a means of collaboration, coordination, and development of watershed management and regulation. The TMDL measurement serves as a specific type of boundary object, a provisional boundary figure. A provisional boundary figure is a complex, model-derived system that is not fixed but rather an object of ongoing work that enables coordination between policy and research. Thus, the TMDL is deployed to explore the relationship between environmental management and the knowledge workers that enable and support it
Boundary object · Boundary-work · Business · Corporate governance · Environmental resource management · Knowledge management · Operations research · Political science · Sociology · Computer Science · Engineering · Environmental Science · Hydrology and Watershed Management Studies · Law · Sustainability and Climate Change Governance · Water resources management and optimization · Artificial Intelligence
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |