Search
6 results
Filter search resultsUsing AI to disrupt business as usual for evaluation practitioners & firms
In this webinar, Intention 2 Impact, Inc. consultants Nina Sabarre, PhD and Blake Beckmann shared their perspectives about the potential, challenges, and opportunities of using AI for evaluation practice.ResourceMachine learning and meta-ethnography: Seven steps to synthesising 578 evaluations into four themes
This paper documents a case study using machine learning and meta-ethnography techniques to synthesise and draw lessons from 578 evaluations. This paper is part of the BetterEvaluation Innovation Working Paper series.ResourceMachine learning in evaluative synthesis: Lessons from private sector evaluation in the World Bank Group
An exploration of the potential to use machine learning techniques to enhance the efficiency of analyzing, classifying, and synthesizing extensive amounts of text in evaluation research.ResourceAdvanced content analysis: Can artificial intelligence accelerate theory-driven complex program evaluation?
This paper presents the methodology and results of an assessment of the applicability and utility of artificial intelligence for advanced theory-based content analysis.ResourceQuick tips to assess the risks of AI applications in monitoring and evaluation: EvalSDGs Insight #19
This Evaluation Insight from EvalSDGs succinctly lays out risks associated with using artificial intelligence (AI) in monitoring and evaluation (M&E).ResourceLeveraging imagery data in evaluations: Applications of remote-sensing and streetscape imagery analysis
This paper discusses using imagery data in evaluations and the advantages and limitations of relevant methodologies.Resource