News Story

Data-driven approach to visualise EPSRCs research landscape

Stefan Rueger, Monday 31 Mar 2014

KMi professor Stefan Rueger was invited to an EPSRC network-of-networks meeting on 27 March 2014 in his role as coordinator of the Multimedia Knowledge Management research network to help map out the research challenges within EPSRC’s network portfolio.

One interesting aspect of this workshop was that it did not involve the conventional jotting down of challenges on post-it notes followed by a manual collaborative clustering on a large wall space. Instead, each network submitted beforehand three challenges in form of a title and 50-word abstract, which were projected automatically onto a self-organised hexagon map of keywords that came out of an automated algorithm (Latent Dirichlet Allocation) from existing abstracts of the Grants on the Web on EPSRC’s website. These topic maps were created prior to the meeting with tools from According to EPSRC staff, they provide a different, alternative overview of the current EPSRC Grant portfolio but – as was stressed repeatedly – by no means the only one for EPSRC.

The network-of-networks meeting started off with working groups informed by this  automated, data-driven pre-clustering  of earlier identified research challenges. The thus "semantically related" colleagues then reasoned about their areas in the challenge-map, identifying common and overarching topics such as, for example, data science and engineering, which is something that KMi has a particular stake in.

Network coordinators independently placed unique stickers onto the hexagonal keyword map to indicate areas of interests within their networks thus creating an immediate visualisation of coverage.  As a side effect, this also identified areas in the remit of EPSRC that were not covered by networks. Expressions of interest from different networks in the same areas were taken as promising leads for possible collaboration between research networks, which was then used to structure the remaining networking time.

Even though the data-driven approach to structure the networking workshop was by no means perfect, it seemed to swiftly generate reasonable groupings of interest and promising leads from as little as 50-word abstracts of the challenges put forward by network coordinators. The "ratified" results of this meeting will be published in two weeks time under

KMi News Image 0
Pre-clustered research challenges of EPSRC networks
KMi News Image 1
EPSRCs ITC keyword research map from its Grants on the Web


Latest News

Alexander Mikroyannidis presents SAGE-RAI at the 2024 Intelligent Tutoring Systems conference

Empowering Innovation: Highlights from GenAI & Amazon Bedrock Immersion Day at KMi

KMi Researchers Make Significant Contributions at ESWC 2024 Conference

KMi’s Prof. Fernandez insightful presentation at WEBSCI’24: Tackling Misinformation Spread through Recommendation Algorithms

Who/What/When is After AI? 


RSS iconKnowledge Media institute News RDF

View by


Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support


If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team