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Announcing Durham@ATI

We’re proud to announce that we have been named among the first-ever successful applicants to The Alan Turing Institute’s Network Development Awards, in recognition of our proven research excellence. The award will enable us to significantly build on our expertise in Data Science, AI, and benefit from active involvement with the Alan Turing Institute (ATI).
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Research and Impact

We are a rapidly growing department with around 50 staff. This has increased from around 30 staff at the end of 2020 and our intention is to have around 60 staff by 2027. We have a new building and a vibrant research environment. Our research spans both the theory and practice of Computer Science, has strong interactions with a range of leading industrial companies, and forms part of cross-disciplinary activities and projects with collaborators within the University and around the world. We also have an active portfolio of impact activities and Knowledge Transfer Partnerships (KTPs) as well as a thriving postgraduate research community.

 

 

  • Research Groups

    Researchers in Computer Science are organised into cognate research groups. A research group provides a platform to support its members to both work together and with others and to develop and sustain an overall profile within the research area.
  • Engagement, Impact and Outreach

    Impact is promoted, embedded and engendered within our research culture and we maintain a dynamic portfolio of potential impact opportunities.

Research Groups

Researchers in Computer Science are organised into cognate research groups. A research group provides a platform to support its members to both work together and with others and to develop and sustain an overall profile within the research area.

Engagement, Impact and Outreach

Impact is promoted, embedded and engendered within our research culture and we maintain a dynamic portfolio of potential impact opportunities.

Our Impact Vision

Our vision for impact is to have impact creation embedded within all aspects of our research, the promotion of a strong impact culture, a diverse portfolio of impact activities, and the involvement of many staff in impact creation.

Our vision for the entire of Computer Science is to have well-formed and sustainable groups of researchers working together and producing excellent research so that these groups cover areas of research across the Computer Science research spectrum, interact with researchers and/or application domains within the Department, the University and beyond, and produce research that helps to shape the discipline of Computer Science and/or benefit wider society at both a national and global level.
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Our Research Vision

Our vision for Computer Science research at Durham is to have well-formed and sustainable groups of researchers working together and producing excellent research so that these groups cover areas of research across the Computer Science research spectrum, interact with researchers and/or application domains within the Department, the University and beyond, and produce research and impact that helps to shape the discipline of Computer Science and/or benefit wider society at both a national and global level.

Our strategies are:

  • to retain critical mass in core areas of research, establish critical mass in emergent areas of research, and build new areas of research so that researchers within a group can work together to produce excellent research and also so that researchers within different groups can collaborate on intra-group research
  • to develop more research collaborations both within Computer Science and also of a cross-disciplinary and industrial nature so that the research produces academic impact within Computer Science and/or impact on societal and environmental challenges
  • to build a vibrant, dynamic, diverse and inclusive research community within which there is a varied range of research activities, that engages with research and researchers on both a national and an international level, and that is conducive to cross-discipline collaborative activities, with research excellence pervasive throughout.

 

 

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Research Themes

Our research groups build on our strengths and include emerging areas such as Artificial Intelligence and Digital Humanities, Algorithms and Complexity, Artificial Intelligence and Human Systems, Network Engineering, Science and Theory, Scientific Computing, and Vision, Imaging and Visualization.

More about our Research Groups

Like to Know More?

Staff in Computer Science actively engage with a range of Durham's multi-disciplinary research institutes including:

  • Institute for Data Science
  • Biophysical Sciences Institute
  • Durham Energy Institute
  • Institute for Computational Cosmology
  • Institute of Medieval and Early Modern Studies
  • Wolfson Research Institute for Health and Wellbeing
  • Institute for Data Science

    IDAS – the Institute for Data Science - is Durham University’s multidisciplinary platform for new ideas in Data Science, cutting across the silos of subject-specific knowledge and aiming to transform our view of the world surrounding us – nature, society, and culture.
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  • Durham University Women in Tech

    We are working hard to make Durham the number one destination for women Computer Science undergraduates and have recently formed DUWiT (Durham University Women in Tech), a group that holds events and brings in inspiring external speakers.
    DUWIT - Durham University Women in Tech group photo

Institute for Data Science

IDAS – the Institute for Data Science - is Durham University’s multidisciplinary platform for new ideas in Data Science, cutting across the silos of subject-specific knowledge and aiming to transform our view of the world surrounding us – nature, society, and culture.
smaller

Durham University Women in Tech

We are working hard to make Durham the number one destination for women Computer Science undergraduates and have recently formed DUWiT (Durham University Women in Tech), a group that holds events and brings in inspiring external speakers.
DUWIT - Durham University Women in Tech group photo