Researchfish Data Science Intern for University of Sussex

About Researchfish and the project:

Researchfish runs an online platform service that collects data on the outcomes of research projects on behalf of funders of research. These include outcomes such as publications, collaborations, awards, facilities used, and so on. This information is used by the funders to create a picture of what the funding is spent on. Some of the data is structured, some is free text. The data covers about 230,000 awards and 5M outcomes. 180 funding organisations use the system (EPSRC, MRC, UKRI, charities, other funders in the UK and funding organisations from 9-10 other countries). Some funders may have just 20 awards in the system, but others will have thousands.

We are interested in analysing this data in order to understand the key patterns and correlations. We would also like to establish the extent to which the analysis of the data can provide evidence for decision-making by the funders.

We are seeking an intern / interns to develop algorithms and visualisation scripts to analyse and visualise the data. Examples of research questions include:

• Can specific characteristics of an award (e.g. funding mechanism, the duration, the size of the award and so on) be associated with an increased rate of particular outputs (publications, impact etc.), or other dependent variable?
• Can a portfolio of grants be classified into groups with similar characteristics for the purposes of decision-making and prioritization?
• Can research institutions be classified into groups according to types of outcomes they produce?
• What are good ways to visualise different aspects of data?
• What relationship does the information in Researchfish have with REF Impact Case Studies?

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