Abstract
While some research fields have a long history of collaborating with domain experts outside academia, many quantitative researchers do not have natural avenues to meet experts in areas where the research is later deployed. We explain how conversations - interviews without a specific research objective - can bridge research and practice. Using collaborative autoethnography, we reflect on our experience of conducting conversations with practitioners from a range of different backgrounds, including refugee rights, conservation, addiction counseling, and municipal data science. Despite these varied backgrounds, common lessons emerged, including the importance of valuing the knowledge of experts, recognizing that academic research and practice have differing objectives and timelines, understanding the limits of quantification, and avoiding data extractivism. We consider the impact of these conversations on our work, the potential roles we can serve as researchers, and the challenges we anticipate as we move forward in these collaborations.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization |
| Subtitle of host publication | EAAMO 2024 |
| Publisher | Association for Computing Machinery, Inc |
| Number of pages | 11 |
| ISBN (Electronic) | 9798400712227 |
| DOIs | |
| Publication status | Published - 29 Oct 2024 |
| Event | 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2024 - San Luis Potosi, Mexico Duration: 29 Oct 2024 → 31 Oct 2024 |
Conference
| Conference | 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2024 |
|---|---|
| Country/Territory | Mexico |
| City | San Luis Potosi |
| Period | 29 Oct 2024 → 31 Oct 2024 |
UN Sustainable Development Goals (SDGs)
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- AI4SG
- collaborative autoethnography
- participatory methods
ASJC Scopus subject areas
- Artificial Intelligence
- Computational Theory and Mathematics
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Information Systems
- Computational Mathematics
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