Help us improve by providing feedback or contacting help@jisc.ac.uk
Research Problem
Rationale / Hypothesis
Method
Results
Analysis
Interpretation
Real World Application

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?

Publication type:Research Problem
Published:
Language:English
Licence:
CC BY 4.0
Peer Reviews: (0)
Red flags:

(0)

Actions
Download:
Sign in for more actions
Sections

This problem is a UK government area of research interest (ARI) that was originally posted at https://ari.org.uk/ by a UK government organisation to indicate that they are keen to see research related to this area.

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?

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:

Contact details

ari.comment@go-science.gov.uk

Related UKRI Projects

Funders

No sources of funding have been specified for this Research Problem.

Conflict of interest

This Research Problem does not have any specified conflicts of interest.