News Archive
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Emergent and Self Adaptive Systems workshop
As part of DSI’s Fundamentals Theme we held a two-day workshop on Emergent and Adaptive Systems: Theory and Practice.
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International Glaciological Society British Branch Meeting 2017
This year’s IGS British Branch meeting was hosted by Lancaster Environment Centre in association with the Data Science Institute at Lancaster University.
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SITA – Andy Murray Memorial Bursary
SITA have established a bursary of £12,000 for the support of innovative data science projects in memory of their colleague Andy Murray. The projects will be undertaken by Masters students and academic staff in Lancaster University’s Data Science Institute (DSI) working alongside SITA staff.
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Research takes on radical rethink of UK digital infrastructure
Researchers are working with business to revolutionise the infrastructure of the internet in the UK, creating an agile, resilient network capable of meeting the future needs of our rapidly changing society.
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Spatial Statistics 2017: One World: One Health
Around 220 delegates are expected, coming from across the globe to discuss advances in spatial statistical methodology and applications.
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World-leading computing scientist joins Lancaster University
One of the world’s most prominent computing academics has been appointed as a Visiting Professor at Lancaster University.
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Lancaster appoints international expert as new Chair in Digital Health
Lancaster University is strengthening its digital health research capability with the appointment of a global expert to a newly created role.
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Transforming, self-learning software could help save the planet
Artificially intelligent computer software that can learn, adapt and rebuild itself in real-time could help combat climate change.
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Big data and biodiversity prize
A young Lancaster University researcher has won a prestigious international award for using big data methods to predict plant and animal species distributions
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Next generation of statistical tools to be developed for the big data age
Statisticians are developing new ways to interpret the unprecedented amounts of data being generated continuously all around us.