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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山ּ us

We are working to create a world-class Data Science Institute at Lancaster (DSI@Lancaster) that sets the global standard for a truly interdisciplinary approach to contemporary data-driven research challenges. DSI@Lancaster 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 山ּ

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 山ּ'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 山ּ 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 山ּ'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 News

Distinguished Speaker - David J. Bodenhamer

Title : Connecting Matter, Meaning, and Experience:Data Science, Spatial Humanities, and Deep Maps

19th June at 3pm - This talk will be in the LEC Building , Biology Lecture Theatre 1

Abstract: This presentation explores what we have learned from our application of geospatial technologies to problems of interest to humanists. It also suggests an agenda for the future of this work, which increasingly will witness the convergence of technologies within new formats, such as virtual reality. One result is likely to be deep mapping, an innovative form with an emphasis on experiential knowledge that will open scholarship to non-expert audiences. The goal is not to sacrifice the rational, logical, and empirical approach to knowledge that has been the hallmark of the humanities since the Enlightenment, but rather to complement it with different ways of discovery.

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Presenter: David J. Bodenhamer Professor of History and Informatics Emeritus Executive Director Emeritus, The Polis Center, Indiana University, Indianapolis, USA Biographical Sketch: David Bodenhamer is (founding) Executive Director Emeritus of The Polis Center and Professor of History and Informatics Emeritus at Indiana University, Indianapolis.

During his tenure (1989- 2022), the Polis Center developed over 1000 projects and a wide array of local, national, and international partnerships, with grant and contract funding of $100 million. He has served as strategic and organizational consultant to universities, government agencies, and not-for-profit organizations across the U.S. and in Europe. An active researcher,

Bodenhamer is author or editor of fifteen books and has published over fifty-five journal articles and chapters in books. He has made over one hundred presentations to audiences on four continents on topics ranging from legal and constitutional history to the use of GIS and advanced information technologies in academic and community-based research.

Books in spatial humanities include The Spatial Humanities: GIS and the Future of Humanities Scholarship (Indiana University Press, 2010), Deep Maps and Spatial Narratives (Indiana University Press, 2015), Making Deep Maps: Foundations, Approaches, and Methods (Routledge, 2021), and The Oxford Handbook of Spatial Humanities (Oxford University Press, forthcoming 2025), all with John Corrigan and Trevor Harris. He serves as co-general editor of the Routledge Series on Spatial Humanities (previously with Indiana University Press, 2008- 2020) and was co-editor of IJHAC: A Journal of the Digital Humanities (formerly The International Journal of Humanities and Arts Computing) for Edinburgh University Press from 2005-2020. Web sites include The Digital Atlas of American Religion (https://religionatlas.org), Encyclopedia of Indianapolis (https://indyencyclopedia.org), and SAVI Community Information System (https://savi.org). Bodenhamer is also co-director of the Virtual Center for Spatial Humanities, an institutional partnership among Florida State University, West Virginia University, and Indiana University, Indianapolis, to advance the field of spatial humanities

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

On the 29th C 30th July 2024, 山ּ is hosting the first international conference on Natural Language Processing and Artificial Intelligence for Cyber Security.

This is the very first event of its kind and it could not come at a more critical time. In today’s digital age, cyber security has emerged as a heightened priority for both individual users and organisations. With the surge in online information, new innovative solutions are required to address the challenge of tradition security measures falling short against evolving threats.

The conference will also have a special theme track with the goal of stimulating discussion on the future of cyber security in the era of Large Language Models (LLMs) and generative AI. Delegates will examine the challenges, risks and safety issues associated with employing these models in everyday tasks, focusing on aspects including fairness, ethics, and responsibility.

Lancaster staff and students who want to attend, please contact Julia Carradus

For more information on the conference, submissions, and to book your place, please see the or email info@nlpaics.com.

NLPAICS 2024 will bring researchers, academics, and business industry leaders together as they hear the latest solutions to address risks in processing digital information. It will explore a range of themes around the employment of NLP and AI for cyber security training including:

  • Societal and human security and safety
  • Anomaly detection and threat intelligence
  • Systems and infrastructure security
  • Ethics, bias, and legislation in cyber security

For more information on the conference, submissions, and to book your place,please see the or email info@nlpaics.com

The event is being organised by the 山ּ UCREL NLP research group, the Data Science Institute and Security Lancaster

Lancaster staff and students who want to attend, please contact Julia Carradus

NLPAICS logo

Workshop on time-series analysis of noisy data at 山ּ - 25th to 27th September 2024

Workshop on time-series analysis of noisy data at 山ּ -25th to 27th September 2024

The aim of the workshop is to review recent progress in discerning cyclic processes in noisy background, focusing especially on the widespread case of oscillations with time-varying frequencies.

This topic will be discussed in the context of linear, stationary, non-stationary, nonlinear, chaotic, stochastic, autonomous and non-autonomous processes and systems. Practical problems in all areas of human endeavour where data are being collected will be addressed. These include, but are not limited to, living systems, medicine, neuroscience, chronobiology, ecology, climate, economics, space science, astrophysics, lasers, optics and photonics, semiconductors, battery lifecycles, classical and quantum turbulence, engineering and oceanography.

More details can be find on the conference website:

DSI Workshop Funding Announcement

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

Taken place

Katie McDonough (History) & Daniel Wilson (Turing Institute) Advertising Machines - 21st & 22nd March 2024

Elisa Rubegni, PhD (SCC) & Kate Cain (Psychology) Empowering Tomorrow: Bridging Disciplines for Inclusive Child-Tech - 2nd & 3rd May 2024

Kate Cain (Psychology) and Anastasia Ushakova (CHICAS/FHM) T-READS Tracking Reading and Educational Attainment through Data Science - 3rd & 4th June

Up coming

Jess Bridgen (Maths & Stats) and Jon Read (Lancaster Medical School) Real-time Modelling of Nosocomial Transmission: the unanswered Questions - 11th June 2024

David Parkes (LEC), Luke Rhodes-Leader (Management Science), Paul Cureton (LICA), Eduard Campillo-Funollet (Maths and Stats). Calibration and validation for complex system modelling - 11th & 12th June

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

Zoe Ackler (History) and Esmorie Miller (Sociology), The Technologies of Everyday Bordering, Past, Present and Future5th July at The Storey

Barbara Shih (Biomedical & Life Science) & Richard Mort (Biomedical & Life Science) Disentangling the genes contributing to Dalmatian spotting and associated disease - 10th July

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

DSI ECR Showcase Talks

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.

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

If you are interested in giving a talk, please email David Parkes (d.parkes@lancaster.ac.uk) to discuss dates.

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

Research Themes

Data Science at Lancaster was founded in 2015 on Lancaster’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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