Better Policy: How can Emergent Digital Technologies (EDTs) be harnessed to ensure transparency, fairness, and inclusivity in informing, shaping, and improving policy-making processes?

Current projects:
PREDICT – Predictive algorithm for assessing external validity and identifying contextual tailored interventions
Leveraging large language models for predictive insights in food policy and behavioural interventions.​
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PREDICT II – Extending predictive algorithms to food and energy interventions
Cross-domain generalisation, model benchmarking and system evaluation for real-world policy use.
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On preferring people to algorithms
​Cross-national evidence on attitudes toward algorithmic versus human decision-making.
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IMPACT-AI – Interpretable model for predicting AI cognitive tendencies
​Toward a multi-factor theory of bias in large language models.
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Scaling behavioural interventions with LLMs
Using large language models to estimate the contextual scalability of behavioural policies.
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Collaborations:​
Do LLM architecture and prompt parsimony drive alignment between synthetic and human responses?
​Evaluating LLMs as proxies for public opinion on institutional trust and nudge approval.
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SCAIA – Scale of confidence and aversion in AI applications
Developing and validating a measurement instrument for algorithm aversion and appreciation.
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Get Involved:
Currently Recruiting
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