CGIAR GENDER Platform innovation grants

Permanent URI for this collectionhttps://hdl.handle.net/10568/111038

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    Feminist research in agriculture: moving beyond gender-transformative approaches
    (Book Chapter, 2024) Cole, S.M.; Rajaratnam, S.; Liani, M.; Joshi, D.; Basnet, S.; Bisht, M.; Shijagurumayum, M.S.; Jain, M.; Kumar, P.; Fischer, K.; Puozaa, D.K.; Reyes, A.; Velasco, H.
    Feminist research approaches in agriculture are considerably underutilized. In this chapter, we suggest a few key reasons to help explain their lack of use in agriculture. We also provide background on what constitutes feminist research in agriculture through a review of the literature. Using a case study approach, we highlight the important and unique characteristics that define feminist research approaches in agriculture. The case studies provide examples of how researchers working in agriculture can gradually adopt key feminist research principles. We argue that to transform agrifood systems to be more inclusive, equitable, and sustainable, feminist approaches must be used in all research in agriculture. The chapter concludes by discussing what is needed to increase the use of feminist research approaches in agriculture, recognizing that resistance to change is inevitable and requires commitment at the top to spearhead efforts to institutionalize feminist approaches within agricultural research organizations.
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    Estimating gender inequalities in labor-market outcomes using mobile phone data
    (Blog Post, 2023-11-29) Seymour, Greg; Follett, Lendie; Henderson, Heath
    Mobile phone data holds promise for contributing to slow-filling gaps about women and men’s labor. We generated gender-specific predictions of three labor market indicators (employment, unemployment and underemployment) using machine learning models that analyzed digital trace data and geospatial data. While the models correctly predict mobile phone users’ gender in most cases, they predict users’ labor market status much less accurately. With further refinement, we believe the methodology still shows prospects for filling gender data gaps in individual-level labor market statistics.
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    How do couples in rural Tanzania make decisions? Findings from a novel mixed-methods approach for understanding intrahousehold decision-making
    (Working Paper, 2023-12-15) Cole, Steven M.; Ferguson, Nathaniel; Heckert, Jessica; Mwakanyamale, Devis F.; Seymour, Greg; Feleke, S.; Fischer, Gundula; John, Innocensia; Lija, Z.; Nyaa, M.; Zacharia, H.
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    Digital ethnography? Our experiences in the use of SenseMaker for understanding gendered climate vulnerabilities amongst marginalized agrarian communities
    (Journal Article, 2023-04-26) Joshi, Deepa; Panagiotou, A.; Bisht, Meera; Udalagama, Upandha; Schindler, Alexandra
    Digital innovations and interventions can potentially revolutionize agri-food systems, especially in coping with climate challenges. On a similar note, digital research tools and methods are increasingly popular for the efficient collection and analysis of real-time, large-scale data. It is claimed that these methods can also minimize subjective biases that are prevalent in traditional qualitative research. However, given the digital divide, especially affecting women and marginalized communities, these innovations could potentially introduce further disparities. To assess these contradictions, we piloted SenseMaker, a digital ethnography tool designed to capture individual, embodied experiences, biases, and perceptions to map vulnerabilities and resilience to climate impacts in the Gaya District in Bihar. Our research shows that this digital tool allows for a systematic co-design of the research framework, allows for the collection of large volumes of data in a relatively short time, and a co-analysis of the research data by the researchers and the researched. This process allowed us to map and capture the complexities of intersectional inequalities in relation to climate change vulnerability. However, we also noted that the application of the tool is influenced by the prior exposure to technology (digital devices) of both the enumerators and researched groups and requires significant resources when implemented in contexts where there is a need to translate the data from local dialects and languages to more dominant languages (English). Most importantly, perceptions, positionalities, and biases of researchers can significantly impact the design of the tool’s signification framework, reiterating the fact that researcher bias persists regardless of technological innovations in research methodology.
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    A process guide for the development of a mixed-methods research tool for measuring and understanding intra-household decision making
    (Working Paper, 2023-02-11) Mwakanyamale, Devis F.; Cole, Steven M.; Heckert, Jessica; John, Innocensia; Fischer, Gundula; Seymour, Greg; Feleke, Shiferaw
    Numerous approaches have been developed by researchers for measuring intra-household decision making. Most use quantitative surveys that often rely on a standard set of questions that inquire about who contributes to key household decisions or women’s abilities to participate in these decisions. Such questions have been criticized for focusing too much on the identity of the decision maker and less on understanding why and how decisions get made within the household and on the multiple facets of women’s roles in decision-making processes1. To address the shortcomings of current approaches, we (an interdisciplinary group of applied gender and agriculture researchers) developed a transdisciplinary and mixed-methods approach that can be adapted across livelihoods and geographies to measure intra-household decision making and shed light on the “who,” “why,” and “how” of important household decisions. This guide describes the transdisciplinary process that was used to develop the mixed-methods research tool for understanding and measuring intra-household decision making. In our approach, we focus on measuring who makes which decisions, how, and why and how this influences food, nutrition, and economic security outcomes. This guide, therefore, provides a base for other researchers and development practitioners to develop a context-specific mixed-methods tool for understanding and measuring intra-household decision making.