Lmst

#fairWorkWeek

We're so pleased to see @peterfugiel did not only write sharing of interview data from his #NSF funded study on the effect of #fairWorkWeek campaigns into his grant: it's right there in the summary!
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2203815&HistoricalAwards=false

Interested in writing QDR into your grant/data management plan? Contact us qdr@syr.edu #qualitativeResearch #qualitativeData

The PI proposes a comparative study of eight jurisdictions where fair workweek campaigns occurred between 2014 and 2021, including cases where legislation was enacted (San Francisco, Seattle, New York City, Oregon, Chicago, and Philadelphia) and where it was rejected (DC and Minneapolis). This study seeks to explain the different outcomes of these campaigns in relation to their institutional context, political coalitions, discursive frames, and mobilizing tactics. It will draw on 80 in-depth interviews (68 newly conducted plus 12 pilot interviews) with policymakers and stakeholders in each jurisdiction. These original data will be supplemented with evidence from legislative proceedings, news reports, social media, and other forms of public discourse related to scheduling standards. (The following sentence is highlighted in yellow.) The PI plans to archive and share these data on the Qualitative Data Repository hosted at Syracuse University.

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Version: 2025.04

Repository: https://github.com/cyevgeniy/lmst