Research

ARC is a laboratory for research and innovation in the application of advanced computational and data-intensive research methods, working in partnership with academics from all fields across UCL.

**Case study**: Our HPC clusters are providing UCL astrophysicists with the computing firepower they need to help pinpoint exoplanets capable of supporting alien lifeforms. Read more.

**Case Study:** Buying into part of one of our high performance computing clusters has helped Professor Andrew Phillips to enhance HIV research by deploying computer simulation models of HIV infection, progression, resistance, and treatment with antiretroviral therapies. Read more

**Case Study:** We collaborated with Professor David Balding of the UCL Genetics Institute on the development of LikeLTD: a forensic DNA analysis package, used to assess the weight of evidence from partial DNA samples. Read more

**Case Study:** The Research Data Storage Service is bringing real benefits to a flagship project aiming to preserve and publicise the writings of one of Britain’s most iconic philosophers. Read more

**Case Study:** The Research Software Development Group was brought in to help identify and fix a problem with HemeLB: an open-source computational suite for fluid dynamics simulations of blood flow. Read more

**Case study:** UCL Consultants use IRIS, the one stop shop for information about research at UCL, to search for academic experts who may be interested in taking on consultancy projects with external organisations. Read more

In ARC, UCL seeks to establish a globally leading platform for digital research.

ARC will be a laboratory for research and innovation in the application of advanced computational and data-intensive research methods, working in partnership with academics from all fields across UCL and beyond, producing high-quality research outputs - software packages, data sets, and research platforms - as well as traditional papers.

We operate through a pool of permanent staff scientists and digital research professionals: research software engineers, data scientists, data stewards, informaticians, HPC systems engineers, and research associates and fellows. We are proudly 'middle author scientists': working as part of research teams to deliver computational and data-intensive capabilities. UCL academics looking to develop research proposals that could benefit from these teams should get in touch.

We also lead our own research in the methods of digital scholarship. This includes the development and maintenance of key software packages for digital research, reproducibility and verification for parallel simulation software, resilience and failure tolerance at the exascale, the use of natural language processing methodologies for largescale textual corpora, the combination of HPC and streaming telemetry data for digital twins, or the development of new methods for safely handling sensitive and confidential data.

To support this vision, ARC will operate an ambitious programme of international community events, workshops, and visiting researcher opportunities to strengthen our collaboration opportunities.