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 nearly £50 million in research grants.

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新加坡六合彩开奖直播 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.

Research Retreat Report

Geospatial Research Retreat 20th and 21st June

On 20 June twenty academics from departments and research centres across the university with interests in mapping and analysing geographical data travelled to Low Wood Hotel, Ambleside, for a 2-day research retreat organized by the Data Science Institute. The aims of the retreat were twofold:

To get to know each other and identify areas of common interest and expertise
To begin to think about ways we could collaborate in exciting new forms of research by exploiting discipline strengths and interdisciplinary connections.

The retreat began with a keynote presentation from David Bodenhamer (Indiana University) on ‘Connecting Matter, Meaning, and Experience: Data Science, Spatial Humanities, and Deep Maps’. Drawing on his extensive experience as both an academic and leader of a highly influential interdisciplinary research centre, David talked with authority about how geospatial technologies have influenced, and continue to influence, humanities research. His presentation had something for everyone in the room, and many notes were taken!

This was followed by a series of informal ‘getting to know’ activities facilitated by Paul Mahony (Countryscape), leading to the formation of embryonic groups representing different discipline strengths and areas of application. The afternoon session began with a presentation on partnerships and knowledge exchange by Charlotte Stewart (RES) before returning to group work to sketch out initial project ideas. The first day ended with an evening meal and further informal networking as the sun set over the beautiful Low Wood bay.

The second day began with groups ‘walking and talking’ through their project ideas in the grounds of the hotel and along the shores of Windermere. It was liberating to be away from the conference room, flip chart and maker pen, albeit briefly! Mandy Dillon (RES) then gave a presentation on research funding, giving examples of recent and up-and-coming UK and EU calls with an emphasis on geospatial problems or solutions. The remainder of the day was spent working up the detail of the project proposals in readiness for a Dragons’ Den event in which one group member had 2 minutes to pitch the project idea to the assembled dragons – David, Mandy and Charlotte. The tension was palpable, with some groups avoiding the flames whilst others were well and truly singed!

Looking back, there is a lot to be said for getting away from campus, albeit briefly, to get to know colleagues from other departments and research centres and develop new interdisciplinary connections that may ultimately lead to exciting new collaborations. The research retreat has already been a success in this respect.

Over the next 12 months we hope to:

grow the membership of the group
organize a series of events designed to further stimulate the development of exciting multidisciplinary research and scholarship in geospatial data science

If you would like to be part of this group, please do get in touch!

Duncan Whyatt, Lancaster Environment Centre
Patricia Murrieta-Flores, Digital Humanities
Barry Rowlingson, Health and Medicine (CHICAS)

Latest News

Workshop on time-series analysis of noisy data at 新加坡六合彩开奖直播 - 25th to 27th September 2024

Workshop on time-series analysis of noisy data

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 Workshops

All these workshops have now taken place - for the latest news please visit the workshops page

Katie McDonough (DH 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

Jess Bridgen (Mathematical Sciences) 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 (Mathematical Sciences). 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

Paul Smith (Mathematical Sciences), Alex Bush (LEC), Emma Eastoe (Mathematical Sciences) Environmental and Ecological Statistics Group - 1st-3rd July 2024 at 新加坡六合彩开奖直播

Zoe Alker (History) and Esmorie Miller (Sociology), The Technologies of Everyday Bordering, Past, Present and Future - 5th July at The Storey

Barbara Shih (Biomedical and Life Science) & Richard Mort (Biomedical & Life Science) Disentangling the genes contributing to Dalmatian spotting and associated disease - 10th July, 新加坡六合彩开奖直播

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

Upcoming Events

18th Sep

Cyber Leadership Symposium 2024

Wednesday 18 September 2024, 9:00am to Thursday 19 September 2024, 5:00pm

23rd Sep

Bayes新加坡六合彩开奖直播 Workshop

Monday 23 September 2024, 12:30pm to Thursday 26 September 2024, 1:30pm

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Job Opportunity, ELSA Research Associates at The Alan Turing Institute

The Alan Turing Institute is recruiting for a Senior Research Associate and Research Assistant to work on the ELSA, Safe and Ethical 新加坡六合彩开奖直播 Programme.

Please follow this link to find more information and how to apply:

https://cezanneondemand.intervieweb.it/turing/jobs/senior-research-associate-elsa-safe-and-ethical-ai-programme-45299/en/

https://cezanneondemand.intervieweb.it/turing/jobs/research-assistant-elsa-safe-and-ethical-ai-programme-45300/en/

Professor Plamen Angelov at the WCCI conference

Lancaster Professor delivers ground-breaking 新加坡六合彩开奖直播 keynote at prestigious IEEE conference

Professor Plamen Angelov of Lancaster’s School of Computing and Communications recently delivered a keynote presentation on real-time visual classification at the IEEE World Congress on Computational Intelligence in Yokohama, Japan.

Using genetics to help smokers quit

Researchers have identified variants in a gene that influences the likelihood of smokers developing abnormal dreams while taking a medication to help them quit.

Professor of Cyber Security appointed as Co-Director of Security Lancaster

Daniel Prince, Professor of Cyber Security within the School of Computing and Communications has been appointed as Co-Director of Security Lancaster.

Securing Tomorrow: International event addresses the challenges of evolving threats

Global experts are convening in Lancaster at the very first international conference on natural language processing and artificial intelligence for cyber security (NLP新加坡六合彩开奖直播CS 2024).

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