How can artificial intelligence, machine learning, simulation, agent based modelling and other leading data science techniques contribute to better understanding of trade and investment patterns?

Background

DIT is committed to using evidence and analysis to maximise the economic value of our programme of bilateral and multilateral trade agreements. Methods, modelling and measurement of trade agreements is an evolving area of research, while future evidence may include investigation into impacts of new and modernising provisions in trade agreements.

The data, statistics and measurement questions on trade agreements are:

Next steps

Get in touch with ari.comment@go-science.gov.uk

Source

This question was published as part of the set of ARIs in this document:

DIT Areas of research interest 2020 to 2021 GOVUK

Related UKRI funded projects


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    The project specifically addresses the question by using machine learning techniques to evaluate the effects of trade agreements and their provisions on trade flows.

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  • MultiLateral Thinking - Coriolis Technologies

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  • Aggregation in Gravity-Based Estimation: Theory, Evidence and Policy Implications

    International trade forms a vital part of modern economies. Likewise, many aspects of government policy are directed towards influencing international trade. For instance, governments may join trade agreements, enter cur...

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  • UK in a Changing Europe Fellowship

    What types of trade agreements should the UK join post-Brexit? The world trading system, comprised of multilateral, mega-regional, and bilateral trade agreements offers multiple paths forward for the future of UK trade. ...

    Funded by: ESRC

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    Why might this be relevant?

    The project addresses the impact of trade agreements on firms' decisions, global trade flows, and welfare, providing valuable guidance to policymakers.

  • Ulster University "NISRA BDR Programme"

    This project will form part of the beta testing of the NISRA de-identified Business Data for Research (BDR) database in advance of the data being made available for wider use by approved researchers within the Administra...

    Funded by: ESRC

    Lead research organisation: University of Ulster

  • The Economic Impacts of Post-Brexit Trade Options

    The UK's exit from the European Union presents policymakers with an unprecedented set of challenges, risks and opportunities. Perhaps nowhere are these more significant than in the decisions that the UK will have to make...

    Funded by: ESRC

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