The Effective Advocacy Project helps advocates inform their strategy with evidence — and act in time. It uses data, machine learning and automation to surface the signals that sharpen communications and public affairs.
Strategic communications
How an issue is framed and argued in public: which messages land, who is shaping the story, and where it is shifting — so teams can focus on the right message, outlet and moment.
- Narrative framing analysis — identify and track frames across news, TV, radio and manifestos. Demonstrated on air pollution in India, the Grand National protest, and animal welfare in European party manifestos.
- Arguments and actors mapping — extract the key claims in a debate, attribute them to actors, and map coalitions. Tested on the EU alternative-proteins debate across 10 years, 21 outlets and 7 languages.
Public affairs
Who stands where, what the potential coalitions are, what happens to each ask, and where the openings are — so no signal slips past, from a vote to a post.
- Actor mapping — who is active on the issue and where they stand
- Activity and messaging — what key players are saying and doing, across votes, speeches, consultations, media and social
- Ask tracking — follow each ask through the process: picked up, reworded, watered down, or dropped
- Live monitoring — consultations, committees and agencies watched continuously
Cause areas include animal welfare, energy transition, AI safety and public health.
