A new book chapter on Qualitative Causal Mapping
Interested in making sense of why things change in complex fields like health services?
Resources
Featured Post
Posts
All
Academic presentations
Case studies
Consultancy packages
Documentation
Features
News
Publications
Theory
Pilot Universal Child Benefit Programme in Kenya | UNICEF Kenya
In response to the COVID-19 pandemic, the Government of the Republic of Kenya piloted a Universal Child Benefit (UCB) Programme with support from UNICEF from December 2021 to December 2022, targeting children aged 0–36 months in Kajiado, Embu and Kisumu Counties. The UCB pilot provided KES 800 per month per child, distributed bi-monthly via M-Pesa to female caregivers, and included complementary services to address malnutrition, negative parenting practices and disability exclusion. A qualitative study assessed the pilot’s implementation, accessibility, impact and sustainability, using interviews and focus groups to inform future policy development and scale-up opportunities. The study uses QuIP methodology and Causal Map. Download.
A workflow for collecting and understanding stories at scale, supported by artificial intelligence
Paper in Evaluation journal
Take responsibility: Another DO and another DON’T when using AI for text analysis.
🤔 Can we solve all or some of our evaluation and research questions by just delegating them to an AI? In this second post in a series of AI Do's and Don'ts, Steve Powell argues how wrong this picture is.
