Imagine if you could understand exactly why people are angry or scared before they start protesting. This work looks at the 'emotional triggers' behind political frustration to see what turns a grudge into a riot versus a helpful suggestion. It's like a weather map for public mood, helping leaders talk to people in a way that actually calms things down.
Organizations struggle to communicate policies to a public that is increasingly angry and polarized. Traditional communication fails because it ignores the emotional drivers of grievance, leading to institutional distrust.
A common basis for coding, compiling, and tagging emotional data across studies. The project is also building toolkits for NGOs and policy communication guides.
If you are a communication agency dealing with high public hostility toward a client's policy — this project developed tools for emotionally intelligent communication that align messaging with citizens' emotional needs. This helps reduce polarization and improves the efficiency of public outreach.
If you are a polling firm dealing with outdated survey methods that miss the 'why' behind voter anger — this project innovated public opinion research methodologies to assess emotional drivers. This allows for more accurate predictions of political shifts across 11 countries.
If you are a software provider dealing with toxic online forums or civic platforms — this project developed a common basis for coding and tagging data to identify pro-democratic versus anti-democratic expressions. This enables the creation of tools that convert grievance into constructive action.
Based on available project data, no pricing or cost information is provided as this is a research-funded project.
The project tests its tools across 11 countries and 3 major crises, suggesting a design intended for wide-scale application in democratic governance.
Based on available project data, specific licensing terms are not mentioned, though it aims to provide toolkits for NGOs and CSOs.
The project focuses on co-creating tools and practices for policy communication and democratic innovation to improve the efficiency of governance processes.
The project period runs from 2024-02-01 to 2027-01-31.
The consortium is heavily academic, consisting of 12 universities and 1 research organization across 11 countries. With 0 industrial partners and only 2 SMEs, the project is driven by scientific discovery rather than commercial product development, which suggests the outputs will be primarily toolkits, datasets, and policy recommendations.
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