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

Clase Magistral | En línea

Sobre el 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.

Presentador/a

Nombre Título Biografía
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.
Karthikeyan Elangeshwaran Program Manager - Evidence for Change, Catalyst Management Services Pvt. Ltd. Karthikeyan has 10 years of experience across social impact, CSR, nonprofits, and sustainable development. He uses evidence-based research and field insights to drive value creation, challenges the status quo, and has worked across the UK, Jordan, Oman, UAE, and India.

Temas

Evaluadores VOPEs / Redes de evaluación Académicos Estudiantes Otros Tema anual: Evaluación, evidencia y confianza en la era de la IA

Detalles del evento

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