A workflow for collecting and understanding stories at scale, supported by artificial intelligence
Forthcoming paper in Evaluation journal
# Case studies
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Tree Aid: Empowering Communities Through Forest Management in Burkina Faso
Causal Map partnered with Tree Aid to evaluate their Local Governance of Forest Resources (WEOOG PAANI) project in Burkina Faso. Using innovative methods, we assessed the project's impact on forest governance, household and food consumption amongst project beneficiaries in two communes.
Using QuIP and Causal Map in an Evaluation, a WFP interview with DeftEdge
Alexandra Priebe from the World Food Programme, interviewing Ashley Hollister and Sarang Mangi from the DeftEdge on their experience on using QuIP and Causal Map in their evaluation.
Our seamless stories workflow in practice
An evaluation project about gender gaps faced by women pursuing STEM careers at DuocUC.
Thinking together within and beyond Communities of Practice
Papers/publications in which Causal Map was featured or mentioned
An M&E time machine
A proof of concept study about using AI to collect and analyse data in complex systems.
Comparing a Fine-Tuned Model to an Engineered Prompt in the Context of Causal Connections in a Passage of Text
Papers/publications in which Causal Map was featured or mentioned
Partner Ring, ACI, Australia
Papers/publications in which Causal Map was featured or mentioned
