Alan Turing Institute Summer Programme Launched

The ATI Summer Programme is the first major research-focused activity coordinated at the Alan Turing Institute, with activities taking place from May to August 2016. Internship placements have been arranged for 12 PhD students, with data science projects sourced from Faculty Fellows. 40 researchers are visiting in small groups to work on focused, short-term activities, including bringing international collaborations in to the Institute. A series of multi-day workshops have been organised, each centred on a highly focused topic and bringing together national and international researchers and industry representatives. Further tie-in events have been put together, including a 50 person ‘hackathon’ in August and special trips for the interns. In total over 250 people will be taking part in these activities over the summer. The programme is part of our wider efforts to bring researchers from different disciplines together to create new ground-breaking research, and to engage broadly with the data science community in the UK and beyond.


Our summer workshop series features a number of focused events on specific research topics. They aim to bring researchers and industry representatives together to share knowledge and explore new areas of work. Full details of our summer workshop series:  
Visiting Research Groups

Small research groups are gathering at the Alan Turing Institute over the summer to work on fixed time research projects. These are self-organised research groups focused on a specific topic, including multi-disciplinary and international work. Typically these small groups consist of 2-6 existing collaborations advancing on-going research projects or developing the foundation for a new project.  Visiting groups will be working on the following topics at the ATI:
  • Linking hidden Markov models with intractable likelihoods
  • Development of Theory and Algorithms for Monte Carlo Quadrature
  • Rough Paths
  • Stochastic Interacting Particle Systems
  • Multilevel Monte Carlo for Computational Statistics and Machine Learning
  • Inference and Diagnostics in Big Statistical Models via Stein’s Method
  • How Data Collection Habits Affect the Presence of Data
  • Sketching via expander graphs and learning low rank projections
  • Discontinuity and Long Memory in Adaptive Procedures

The interns will be working in groups on the following projects:

Machine Classifiers and Neural Similarity Measures
This project aims to understand how the brain codes information states by determining what makes two brain states similar, using neural data gathered from brain scans.

Estimating Causality in Big Data Imaging from the UK Biobank
Students will use data from the UK Biobank to test the possibility of inferring causality of the effects of modifiable risk factors on quantified brain measurements.

YouthNet /
A project working with Youthnet, a non-profit helping young people needing advice and support. The interns will work on correlating call volumes with external events to predict social work and volunteer staffing needs, and consider the ethical issues around the processing of such data.

Cloudy with a Chance of Pain
The interns will develop and test methods to identify a statistical model to forecast pain severity in patients with arthritis and other chronic pain, and to investigate the link between pain symptoms and weather.

For more information, visit

Alan Turing Institute Fellowships

This is a unique opportunity for early career researchers to join The Alan Turing Institute. The Alan Turing Institute (ATI) is the UK’s new national institute for data science, established to bring together world-leading expertise to provide leadership in the emerging field of data science. The Institute has been founded by the universities of Cambridge, Edinburgh, Oxford, UCL and Warwick and the EPSRC.

This is a targeted call, by which we intend to recruit researchers in subjects currently underrepresented by our fellowship cohort. Fellowships are available for 3 years with the potential for an additional 2 years of support following interim review. Fellows will pursue research based at the Institute hub in the British Library, London. Fellowships will be awarded to individual candidates and fellows will be employed by a joint venture partner university (Cambridge, Edinburgh, Oxford, UCL or Warwick).

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The Alan Turing Institute YouTube Channel

The Alan Turing Institute YouTube Channel is now home to eight full-length lectures on a broad range of topics, from Data Security to the Data Science of Politics. In our most recent video, Amazon's Ralph Herbrich discusses "Learning Real-World Probabilistic Models with Approximate Message Passing".

Visit the channel HERE and subscribe to keep up with all future video content from the institute.

Ralph Herbrich - Amazon
"Learning Real-World Probabilistic Models with Approximate Message Passing"

Professor Luciano Floridi  Oxford Internet Institute, University of Oxford
"Ethics in the Age of Information"

Professor Stéphane Mallat – Ecole Polytechnique
"High-Dimensional Learning and Deep Neural Networks"

Professor Mark Newman – University of Michigan
"Epidemics, Erdos numbers, and the Internet: The Form and Function of Networks"

Professor Gareth Roberts – University of Warwick
"New challenges in Computational Statistics"

Professor Bin Yu – University of California, Berkeley
"Unveiling the Mysteries in Spatial Gene Expression"

Professor Helen Margetts  Director, Oxford Internet Institute, University of Oxford
"The Data Science of Politics"
Upcoming Events 2016
Head of Training
The Institute is seeking an outstanding Head of Training to lead and develop the training activities of the Institute.
Read More >
Strategic Partner Director - Intel
The Institute is seeking an outstanding data scientist to lead its strategic partnership with Intel. Read More >

Alan Turing Institute Fellowships

This is a unique opportunity for early career researchers to join The Alan Turing Institute. Read More >
The Alan Turing Institute is the UK's National Institute for Data Science

The Institute’s mission is to: undertake data science research at the intersection of computer science, mathematics, statistics and systems engineering; provide technically informed advice to policy makers on the wider implications of algorithms; enable researchers from industry and academia to work together to undertake research with practical applications; and act as a magnet for leaders in academia and industry from around the world to engage with the UK in data science and its applications.

To find out more, visit us at
Copyright © 2016 The Alan Turing Institute, All rights reserved.

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