Search
10 results
Filter search resultsUsing Mobile Data for Development
This guide, written by Ed Naef, Philipp Muelbert, Syed Raza, Raquel Frederick, Jake Kendall and Nirant Gupta for Cartesian and theResourceTechnology for Evaluation in Fragile and Conflict Affected States: An Introduction for the Digital Immigrant Evaluator
This paper aims to help evaluators working in fragile and conflict affected states (FCAS) to determine which technology may be useful in various phases of an evaluation.ResourcePoimapper
Poimapper mobile data collection solution is designed for monitoring the status and progress of field work in any specific area.ResourceDiscussion Paper: Innovations in Monitoring and Evaluation
This discussion paper produced by the United Nations Development Programme discusses various innovations that are occurring in M&E, and the advantages and disadvantages of these methods.ResourceBig data for development: challenges & opportunities
This white paper by UN Global Pulse examines the use of Big Data in development contexts.ResourceEvaluation, valuation, negotiation: some reflections towards a culture of evaluation
This article, "Evaluation, valuation, negotiation: some reflections towards a culture of evaluation" explores the issues of developing standards for an evaluation, when these have not previously been agreed, in a rural development program iResourceMachine 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.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