Open-source AI for programme evaluation and conflict early warning. 12 years of direct field experience, encoded into tools that work offline.
PRAXIS applies epidemiological surveillance logic to ACLED event data. Analysis of over 100,000 events shows that when individual conflict types occur in isolation, escalation drops to baseline. When two or more specific types co-occur in the same district-week, lethal violence follows within 7 days.
The composite co-occurrence model was validated across 13 countries over 15 years of weekly admin2-level panel data. All results survive Bonferroni correction at p < 0.001.
Read the methodology →Six live tools covering 298 indicators. Every tool runs client-side with zero data transmission, ensuring you can calculate sample sizes or build evaluation matrices even when the internet drops.
Cluster-RCT, stratified designs. Handles ICC and attrition calculations entirely offline.
EQs, judgement criteria, indicators, and methods compiled into one robust, exportable table.
| EQ1 | Relevance | Doc review |
| EQ2 | Effectiveness | Mixed methods |
| EQ3 | Impact | Quasi-exp. |
Visual canvas with drag-drop nodes. Build your programme's logic model visually.
Answer 8 questions about your context and get a recommended evaluation design.
298 indicators across 11 sectors. Search, filter, and export for your evaluation design.
Upload CSV or Excel. Auto-detect types, summarize distributions, flag quality issues.
PRAXIS is grounded in 12 years of programme evaluation across conflict-affected settings including Burkina Faso, Mali, Niger, South Sudan, and Burundi. The methodology draws on epidemiology, econometrics, and applied M&E practice.
Emmanuel Nene Odjidja, Founder and Director. Section Editor, Journal of MultiDisciplinary Evaluation. 29 peer-reviewed publications.
The methodology transfers wherever ACLED operates. Roughly 230 countries. The evaluation tools are MIT licensed and built to be forked, adapted, and extended. This is an open invitation.