Center for Explanatory Research and Scientific Prediction – CERSP
To Explain the Future
The Challenge
To make decisions, we need to be able to make predictions.
We have no framework to accurately predict under uncertainty.
We need to reshape the theoretical basis of prediction to build models and systems that can predict and explain in a fast-changing world.
The Solution
Foundational theoretical architecture
- Based on causal explanatory models, predictive data science, counterfactual reasoning, and data source quality. It is transformative. It is revolutionary
- It is how we design decision-making
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Programs
YAI
YAI: Artificial intelligence (AI) has become pervasive, and it is embedded in every aspect of our life.
WINDS
Winds: Women have made significant contributions to the development of machine learning and AI.
Predict to Explain
Predict to explain: A fundamental divide persists between Social Science, which prioritizes explanation.
Democracy in the Future
We are in poly-crisis. Elections, economic performance, public health, and geopolitical stability have all become.
Europe-Asia
EU-China: Europe-Asia relations are pivotal in shaping global politics, economics, and security amidst rising geopolitical.
Global and Far-Right Populism
EU-China: Europe-Asia relations are pivotal in shaping global politics, economics, and
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Upcoming Events and Presentations
Join CERSP co-Directors for a panel at the European Political Science Society 2026 Annual Conference in Belfast on the future of explanation in the social sciences.
https://epssnet.org/belfast-2026/