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

Data Science and Decisions - How can MOD harness the benefits of data science? How do we build trust in automated systems? How do we integrate multiple sources of information with differing levels of uncertainty and represent this effectively and efficiently to busy decision makers?

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

Information, big data and autonomy

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.

Data Science and Decisions - How can MOD harness the benefits of data science? How do we build trust in automated systems? How do we integrate multiple sources of information with differing levels of uncertainty and represent this effectively and efficiently to busy decision makers?

In an increasingly connected and complex world, we need to optimise our use of rich and diverse data sets to inform decision makers in a timely manner. As the types and volumes of information available to the commander increase, this will place a greater importance on tools and techniques to collate, synthesise and visualise information in a timely and understandable way so that it can be readily acted upon. Different sources will have different degrees of assurance but combining multiple information sources greatly increases the robustness of the analysis – although we need to be able to show levels of certainty/uncertainty within the analysis.

Contact details

accelerator@dstl.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.