Qualitative, comparative, and collaborative research at large scale: An introduction to GENNOVATE
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Date Issued
2018Language
enType
Journal ArticleReview status
Peer ReviewISI journal
Accessibility
Open AccessUsage rights
CC-BY-NC-ND-2.0Metadata
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Badstue, L.; Petesch, P.; Feldman, S.; Prain, G.; Elias, M.; Kantor, P. (2018). Qualitative, comparative, and collaborative research at large scale: An introduction to GENNOVATE. Journal of Gender, Agriculture and Food Security 3(1) p. 1-27 ISSN: 2413-922X
Permanent link to cite or share this item: https://hdl.handle.net/10568/99066
Abstract/Description
What is the relationship between gender norms, agency, and agricultural innovation? How might we undertake and what can we learn from a comparative approach to this question? GENNOVATE—a comparative and collaborative research project—addresses these questions using contextually embedded qualitative analyses that also allow for comparison and extrapolation of patterns across multiple locations. This paper provides an overview of the conceptual approach and the methodological strategy that informed GENNOVATE's twin objectives and research design. The conceptual framework underlying this original research initiative is introduced and the challenges and opportunities faced when combining inductive and deductive analytic approaches are discussed. The empirical and methodological issues are explored and the broad relevance of GENNOVATE’s research approach beyond the field of agricultural development is reflected upon.
CGIAR Author ORCID iDs
Lone Badstuehttps://orcid.org/0000-0001-8848-7498
Patti Peteschhttps://orcid.org/0000-0001-6444-9032
Other CGIAR Affiliations
AGROVOC Keywords
Subjects
GENDER; AGRICULTURE;Organizations Affiliated to the Authors
International Maize and Wheat Improvement Center; Cornell University; International Potato Center; Bioversity InternationalInvestors/sponsors
Bill & Melinda Gates FoundationCollections
- Bioversity Journal Articles [1060]
- CIP Journal Articles [1044]
- GENNOVATE [62]
- Productive and Resilient Farms, Forests and Landscapes [521]

