Bridging Research and Practice Through Conversation: Reflecting on Our Experience
August 25, 2024 Β· Declared Dead Β· π Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
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Authors
Mayra Russo, Mackenzie Jorgensen, Kristen M. Scott, Wendy Xu, Di H. Nguyen, Jessie Finocchiaro, Matthew Olckers
arXiv ID
2409.05880
Category
cs.HC: Human-Computer Interaction
Citations
6
Venue
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
Last Checked
4 months ago
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.
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