Bridging research and practice through conversation: reflecting on our experience

Mayra Russo, MacKenzie Jorgensen, Kristen M. Scott, Wendy Xu, Di H. Nguyen, Jessie Finocchiaro, Matthew Olckers

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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 languageEnglish
Title of host publicationEAAMO 2024
Subtitle of host publicationProceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages1-11
Number of pages11
ISBN (Electronic)9798400712227
DOIs
Publication statusPublished - 29 Oct 2024
Event4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2024 - San Luis Potosi, Mexico
Duration: 29 Oct 202431 Oct 2024

Conference

Conference4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2024
Country/TerritoryMexico
CitySan Luis Potosi
Period29/10/2431/10/24

Bibliographical note

© 2024 Copyright held by the owner/author(s). Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • AI4SG
  • collaborative autoethnography
  • participatory methods

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