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.

PREDICT II – Extending predictive algorithms to food and energy interventions

Cross-domain generalisation, model benchmarking and system evaluation for real-world policy use.

On preferring people to algorithms

Cross-national evidence on attitudes toward algorithmic versus human decision-making.

IMPACT-AI – Interpretable model for predicting AI cognitive tendencies

Toward a multi-factor theory of bias in large language models.

Scaling behavioural interventions with LLMs

Using large language models to estimate the contextual scalability of behavioural policies.

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.

SCAIA – Scale of confidence and aversion in AI applications

Developing and validating a measurement instrument for algorithm aversion and appreciation.

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