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Cambridge Big Data
Cambridge Big Data

Statistical, mathematical and underpinning computer-science theoretical methods and tools, algorithms and analytics

This Theme covers the fundamental aspects of being able to derive useful information from Big Data datasets. It covers areas such as compressed sensing, statistics and machine learning.

Data management, processing and energy efficiency

Within Cambridge several research areas, such as astronomy and genomics, are facing or considering exa-scale data volume challenges and the need to develop scalable computing approaches. Their work informs the Big Data discussion in topics such as data management and processing.

Access to and impact of Big Data

Big Data is increasingly used as an umbrella term that includes the connected societal, ethical and legal issues that are arising as ever increasing amounts of data are collected and analysed by society. This theme also touches upon the industrial and economic drivers and impacts.

Big Data in Imaging

Many application areas produce datasets that need to be visualised to be useful. Mathematical imaging offers rigorous and efficient methodologies for retrieving meaningful information from (Big) Data – covering noise removal, segmentation, recognition and inpainting. It also enables useful approaches such as Visual Analytics to become possible.

Making Big Data really work

Research into the framework of how to use heterogeneous and complex data to real benefit in a wide range of problems spanning industry to the social sciences

Research Domains

Within the University there are many cross-cutting application areas and domains of research that fit under one or more of our Big Data Themes:

Life Sciences

Genomics, imaging and medical imaging

Physical Sciences

Astronomy and high energy physics

Data Provenance

Towards forensic analysis and reproducible computing

Simulations and Modelling

Management and Commerce

Engineering Design and Product Engineering

Manufacturing and Process Industry


Social Sciences

Big Data linkages across economic, social and education data including social networks

Highlight events

  • 16Dec
    IMA Conference on the Mathematical Challenges of Big Data

    Big Data is one of the main science and technology challenges of today. While this is multifaceted, mathematics is at the very core of the challenge. This event will highlight current challenges in mathematical methodology alongside new mathematical problems arising from Big Data applications. Papers will be accepted for the conference based on a 300-500 word abstract for oral or poster presentation. Abstracts should be submitted by Friday 3 October 2014.

  • 27Oct
    IEEE BigData 2014

    In recent years, Big Data has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. The IEEE International Conference on Big Data 2014 (IEEE BigData 2014) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Application.

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Latest news

Even SMEs need big data

Failing to jump aboard the Big Data train will leave businesses in the dust of newer, smarter start-ups, says Prof. Andy Neely

Alan Turing Institute to be set up to research Big Data

An institute named after computer pioneer and code-breaker Alan Turing is to be set up, the chancellor announced in his Budget speech on Wednesday.

Super fast super green HPC

A super energy-efficient high-performance computer, with a performance equivalent to 4,000 desktop machines running at once, will enable researchers to handle the Big Data challenges of the future - not least the design of a system to support the world's largest telescope.

Project to improve radiotherapy planning

A collaborative project between physicists, oncologists and computer scientists at Oxford and Cambridge Universities, launched last month, will develop improved tools for the planning of high precision radiotherapy. Accel-RT will also help overcome time constraints that currently limit the use of complex radiotherapy treatment.

Getting schooled in the 'noise': learning about learning using Big Data

Brits notoriously love bureaucracy, so it’s perhaps unsurprising that the UK is a world leader in administrative data. With the digital era heralding a data revolution unlike anything in human history, education researchers such as Anna Vignoles are in a unique position to take advantage of this country’s data deluge.

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