Data Science Institute

We aim to set the global standard for a truly interdisciplinary approach to contemporary data-driven research challenges. Established in 2015, the Data Science Institute (DSI) has over 300 members and has raised over £40 million in research grants.

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About us

We are working to create a world-class Data Science Institute at 六合彩开奖结果 (DSI@六合彩开奖结果) that sets the global standard for a truly interdisciplinary approach to contemporary data-driven research challenges. DSI@六合彩开奖结果 aims to have an internationally recognised and distinctive strength in being able to provide an end-to-end interdisciplinary research capability - from infrastructure and fundamentals through to globally relevant problem domains and the social, legal and ethical issues raised by the use of Data Science.

The Institute is initially focusing on the fundamentals of Data Science including security and privacy together with cross-cutting theme areas consisting of environment, resilience and sustainability;health and ageing, data and society and creating a world-leading institute with over 300 affiliated academics, researchers, and students.

Our data science, health data science and business analytics programmes have launched the careers of hundreds of data professionals over the last 10 years. Students from our programmes have progressed to data science roles at Amazon, PWC, Ernst & Young, Hawaiian Airlines, eBay, Zurich Insurance, the Co-operative Group, N Brown, the NHS and many others - please look at our Education pages for further details of the courses on offer.

Advancing Geospatial Data Science at 六合彩开奖结果

A Vision for the Data Science Institute Geospatial Group

This activity is led by Duncan Whyatt, Patricia Murrieta-Flores, Emanuele Giorgi and Amber Leeson

The Geospatial Program at 六合彩开奖结果's Data Science Institute embodies a transformative vision for geospatial data science, interweaving research, education, and community engagement into its core mission. This program is dedicated to promoting geospatial research and teaching within the university. The program's mission transcends traditional academic boundaries, aiming to drive innovation and expand the frontiers of geospatial data science, from the Humanities to the Sciences. By identifying novel interdisciplinary research opportunities and leveraging the university’s strong academic disciplines, the program aspires to keep 六合彩开奖结果 at the forefront of this evolving field. Recognising the importance of nurturing the next generation of geospatial experts, the program also aims to actively support postgraduate research. This fosters an environment conducive to research and collaboration, empowering aspiring geospatial scientists. Furthermore, the program aims to enhance geospatial education across the institution, ensuring students and staff have access to the latest research and training. The program's influence aims to extend beyond the university, engaging the broader community through eventual initiatives like summer schools, events, dedicated interdisciplinary workshops and retreats. This outreach aims to disseminate knowledge but also to foster collaboration with external stakeholders, centring 六合彩开奖结果's as a hub for geospatial data science excellence.

See leadershp page for further details about the activity leads

Please get in touch with Data Science if you woudl like to know any more.

Latest 六合彩开奖结果

DSI Distinguished Speaker - Adrian Jonas - Chief Analyst for the North West Region, NHS England

Talk Title: Navigating through the “inferno” of NHS data and analytics maturity towards a future “paradise” of a secure data environment to drive real-world-evidence generation for 7.4 million citizens.

Refreshments will be provided

Please sign up via

Adrian is also a member of the University council


The North West region covers a population of approximately 7.4million across three large forming Integrated Care Systems (ICSs) – Lancashire and South Cumbria; Cheshire and Merseyside; and Greater Manchester. Each ICS currently has a series of disparate offerings to make data available for research and analysis. These offerings are at differing levels of maturity across the region but we know better use of data can directly support patient care, drive service improvement and enable research and innovation to improve health outcomes. There are data accessibility and quality challenges across the region. Analysts’ abilities are also often potentially wasted on the trivial reporting of day-to-day pressures. The North West Secure Data Environment (SDE) programme intends to:

  • develop a unified offering across the NW,
  • improve long term patient outcomes and reduce health inequalities,
  • maximise income generated by regional Life Sciences sector, and
  • upskill local talent in digital capabilities that will be of paramount importance in an NHS that is becoming increasingly digitised.

Our eco-system approach places knowledge and skills of people at the heart of digital transformation. The talk invites an opportunity to reflect and debate what is your piece in the jigsaw and how could/should you be involved.

First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS 2024)

29th & 30th July at 六合彩开奖结果

In today’s digital age, Cyber Security is a crucial concern due to the surge in online information. Traditional security measures fall short against evolving threats, necessitating innovative solutions. NLP and AI in Cyber Security have significant potential to improve threat detection and mitigation through advanced real-time systems.

The First International Conference on NLP and AI for Cyber Security (NLPAICS 2024) is a gathering for researchers presenting the latest solutions to address risks in processing digital information.

六合彩开奖结果 staff and students who want to attend, please contact Julia Carradus

DSI Workshop Funding Announcement

We are delighted to announce our workshops for 2024. Further details will follow in the DSI newsletter.

Katie McDonough (History) & Daniel Wilson (Turing Institute) Advertising Machines - March 2024

Jess Bridgen (Maths & Stats) and Jon Read (六合彩开奖结果 Medical School) Real-time Modelling of Nosocomial Transmission: the unanswered Questions - June 2024

Paul Rayson (SCC), Jo Knight (CHICAS/FHM) , Daisy Harvey and Nick King HealTAC 2024 Healthcare Text Analysis Conference 12th - 14th June 2024

Barbara Shih (Biomedical & Life Science) & Richard Mort (Biomedical & Life Science) Disentangling the genes contributing to Dalmatian spotting and associated disease - Dates TBC

Paul Smith (Maths & Stats), Alex Bush (LEC) , Emma Eastoe (Maths & Stats) Environmental and Ecological Statistics Group - First week of July 2024

Kate Cain (Psychology) and Anastasia Ushakova (CHICAS/FHM) T-READS Tracking Reading and Educational Attainment through Data Science - April- May activity

David Parkes (Maths & Stats/LEC), Luke Rhodes-Leader (Maths & Stats), Paul Cureton (LICA) Calibrations and validation for complex system modelling - Dates TBC

Elisa Rubegni, PhD (SCC) & Kate Cain (Psychology) Empowering Tomorrow: Bridging Disciplines for Inclusive Child-Tech - Dates TBC

DSI ECR Showcase Talks

Thanks you to all who came to our 2023 talks, we will restart in January 2024.

These talks are to showcase the incredible research our ECR community is involved in, it also gives speakers the opportunity to practice for conference presentations and get feedback on unpublished research.

If you are interested in giving a talk, please email David Parkes ( to discuss dates.

Get in touch with any questions - we can do these talks in the Lent term too - always happy to talk about your research and how to showcase your work.

Research Themes

Data Science at 六合彩开奖结果 was founded in 2015 on 六合彩开奖结果’s historic research strengths in Computer Science, Statistics and Operational Research. The environment is further enriched by a broad community of data-driven researchers in a variety of other disciplines including the environmental sciences, health and medicine, sociology and the creative arts.

  • Foundations

    Foundations research sits at the interface of methods and application: with an aim to develop novel methodology inspired by the real-world challenge. These could be studies about the transportation of people, goods & services, energy consumption and the impact of changes to global weather patterns.

  • Health

    The Health theme has a wide scope. Current areas of strength include spatial and spatiotemporal methods in global public health, design and analysis of clinical trials, epidemic forecasting and demographic modelling, health informatics and genetics.

  • Society

    Data Science has brought new approaches to understanding long-standing social problems concerning energy use, climate change, crime, migration, the knowledge economy, ecologies of media, design and communication in everyday life, or the distribution of wealth in financialised economies.

  • Environment

    The focus of the environment theme has been to seek methodological innovations that can transform our understanding and management of the natural environment. Data Science will help us understand how the environment has evolved to its current state and how it might change in the future.

  • Data Engineering

    The Data Engineering theme aims to explore how we can utilise digital technologies to accelerate and enhance our research processes across the University.

Research Software Engineering

Within the Data Science Institute, our aim is to improve the reproducibility and replicability of research by improving the reusability, sustainability and quality of research software developed across the University. We are currently funded by the N8CIR, and work closely with our partner institutions across N8 Research.

Research Software Engineering

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