Leveraging AI to Balance Analytical Rigor and Efficiency in Qualitative Analysis and Storytelling

Master Class | Online

Sobre o evento

This session will present the lessons learned by CMS in efficiently and effectively using AI for rigorous qualitative research and storytelling to demonstrate how to streamline and incorporate them into qualitative analysis workflows. It will discuss how to ensure methodological and analytical rigour for using AI in complex, multidimensional interventions where rapid results and feedback are required. Methods covered will include the creation of transcripts from audio recordings, analysis of qualitative data, and preparation of rich presentations.

Orador/a

Nome Título Biography
Ritika Gupta Portfolio Manager - Evidence for Change, Catalyst Management Services Pvt. Ltd. Ritika leads the Evidence for Change unit at CMS, with 12+ years in research, evaluation, and stakeholder engagement. A finance post-graduate with a CS background, she focuses on data-driven impact, working across SHG ecosystems with government, donors, multilaterals, and nonprofits.
Nikita Deshpande Internal Project Manager - Evidence for Change, Catalyst Management Services Pvt. Ltd. Nikita Deshpande is a rural management post-graduate with 7+ years in the social sector across NGOs, government, and consulting. She specializes in program evaluation, survey design, field research, data analysis (STATA), and reporting across agriculture, livelihoods, climate, energy, and health.
Pranav Mysore Nagendran Senior Research Associate - Evidence for Change, Catalyst Management Services Pvt. Ltd. Pranav Mysore Nagendran is a data analyst and economics researcher skilled in Python, SQL, Stata, and Excel. He specializes in large-scale data analysis and has co-authored research on credit, labour, and climate. He holds a Master’s in Economics and supports data-driven policymaking.

Tópicos e Temas

Avaliadores VOPEs / Redes de avaliação Acadêmicos Estudantes Outro Tema anual: Avaliação, Evidências e Confiança na Era da IA

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