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

  • Machine Learning in International Trade Research - Evaluating the Impact of Trade Agreements

    International trade is of vital importance for modern economies, and governments around the world try to shape their countries' exports and imports through numerous interventions. Given the problems facing trade negotiat...

    Funded by: ESRC

    Why might this be relevant?

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

  • Data and Analytics for Real-time Trade modelling (DART)

    "**Need** - UK government wishes to support SMEs to increase trade. To assess trade and supply chain impacts of policy changes and political/economic events like Brexit, politicians, trade negotiators and businesses...

    Funded by: Innovate UK

    Why might this be relevant?

    The project focuses on providing real-time trade data and analytics to better understand trade patterns, meeting the criteria fully.

  • MultiLateral Thinking - Coriolis Technologies

    **Vision** - COVID-19 will change the nature of trade and impact the UK's economic performance, trade strategy/policy and global position. WTO forecasts global trade will fall 30% due to COVID-19\. COVID-19 places unique...

    Funded by: Innovate UK

    Why might this be relevant?

    The project aims to combine validated trade models and real-time data to understand the impact of COVID-19 on trade, aligning with the question.

  • 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...

    Funded by: ESRC

  • 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

    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

  • 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

Similar ARIs from other organisations

International How can we decompose the drivers in trends in trade volumes and prices, split by goods/services, exports/imports and trade with the EU/others? HMT, 2024
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