Data Science Week 2020

From 29th June - 3rd July the IDSAI showcased and celebrated the best of data science and AI at Exeter through a series of seminars, workshops, presentations and training opportunities.  

The event brought the IDSAI community and colleages from across the University to enrich the understanding of data science and its research applications, and inspire colleagues to consider new ways to look at data. 

Event Recordings

If you missed a session or would like see the presentations again, please click on any of the days below and the recording links are provided with the details of each session.

If you have any questions about the Data Science Week or want to know how to get in touch with any of our speakers then please do contact us.

 Monday 29th June 
09:30-10.30

IDSAI Introduces Data Science at Exeter: IDSAI Director, Professor Richard Everson, shares an introduction to the breadth and application of data science and AI research at Exeter, with contributions from colleagues across the University.

View the recordings here.

Richard will provide an insight in to the AI and Data Science Research that takes place at Exeter and its growing importance in a post-Covid research environment.

12:30-13:30 

In Conversation with Professor Dame Wendy Hall DBE, FRS, FREng: Join Professor Susan Banducci as she chairs a Q&A session with Professor Dame Wendy Hall, one of the world’s foremost computer scientists.

View the recording here.

Professor Dame Wendy Hall is the UK’s first AI Skills Champion and Regius Professor of Computer Science at the University of Southampton, where she is also Executive Director of the Web Science Institute. Dame Wendy began a three year term as Chair of the Ada Lovelace Institute on 1st June 2020.

15:00-16:00

1:1 Data Discussions with the IDSAI Research Fellows: Book a time to discuss your data ideas, questions and challenges with an IDSAI Research Fellow.

Book your appointment here.

Wondering what to do next with your data set? Keen to understand what methods might work? Would you like the opportunity to discuss your data ideas, challenges and questions with an IDSAI research fellow?

In this session you can book a 20 minute appointment with Dr Oliver Stoner or Dr Dmitry Kangin who will be available to discuss your ideas and questions.

Dmitry Kangin’s research interests lie on the intersection between machine vision and machine learning. His work is focused on reinforcement learning as well as on generative models for spatiotemporal signal prediction. He has also worked on visual object tracking.

Oliver Stoner is an applied statistical data modeller. This means using statistical models as a tool for solving problems in the real world. This can involve answering questions about processes we have data for, or making better decisions under uncertainty.

 Tuesday 30th June
09:30-10:30

Taster training: An introduction to Bayesian Modelling with IDSAI research fellow Dr Oliver Stoner

View the recording here.

14:00-15:00

Data Sets in Action: Professors Peter Challenor and Tim Dodwell discuss their approaches to Uncertainty Quantification in conversation with Professor Richard Everson.

View the recording here.

Peter Challenor is a Professor in the Statistical Science Group in the Department of Maths at Exeter. 
In order to understand the world we use models. These may be derived from the laws of physics and involve the use of partial differential equations or they may be empirical and based on the analysis of data. Such models are increasingly used in aid in decision making in the real world. Such models are never perfect and this needs to be taken into account when they are used in decision making. Peter’s research is concerned with the development of methods to quantify the uncertainty in such circumstances.


Tim Dodwell is a Professor in Computational Mechanics in the Department of Engineering at Exeter. He currently holds a prestigious 5 year Turing AI Fellowship with the Alan Turing Institute and is the Romberg Visiting Professorship at Heidelberg in Scientific Computing. Tim works at the dynamic interface between engineering, applied mathematics and high performance scientific computing. His research interests in modelling complex materials for industry-motivated problems, integrating understanding of engineering materials, mathematical models, numerical and Bayesian methods and their implementation across massive computer architectures.

15:30-16:30

Research Data Management Group at Exeter: Find out more about research management at Exeter, now and in the future, with James Anthony-Edwards.

View the recording here.

James Anthony-Edwards is Head of Library and Chair of the Research Data Management Group at Exeter. In this session James will share an update on the work of the Group, discuss research data management now and in the future at Exeter and invite feedback on the Group's work to-date.

 Wednesday 1st July 
09:30-10:30

IDSAI Introduces Data Science for understanding Human Behaviour: Dr. Federico Botta discusses how the recent explosion in the availability of data documenting our collective behaviour offers new opportunities to gain insights into our society.

View the recording here.

Being able to better understand and measure what is happening in the world is of great importance for a range of stakeholders, including policy makers. The recent explosion in the availability of data documenting our collective behaviour offers new opportunities to gain insights into our society. In this talk, Dr Federico Botta will focus on a series of case studies to demonstrate how new forms of data, such as social media and smart phones, may be used to help us better understand human behaviour at different scales.

Federico is Lecturer in data science in the department of computer science at the University of Exeter.

11:30-12:30

Data Ethics in Research: Join a panel of colleagues from the IDSAI, chaired by Professor Sabina Leonelli, for an opportunity to consider and discuss the ethical implications when undertaking AI and data science research.

View the recording here.

The focus of this discussion will be on providing practical guidance on how and when researchers should consider the ethical implications of their research, what form those implications could take, and how the research should be designed to take account of potential implications. There will be plenty of opportunity for questions from attendees.

Panel members will include:

  • Professor Sabina Leonelli (Chair) - Professor of Philosophy and History of Science and IDSAI theme lead for Data Governance, Algorithms and Values
  • Dr Miriam Koschate-Reis - Senior Lecturer in Social and Organisational Psychology and IDSAI theme lead for Politics and Policy
  • Professor Ronaldo Menezes - Professor of Data and Network Science and Head of the Department of Computer Science
  • Dr Danny Williamson - Senior Lecturer in Statistics and IDSAI theme lead for Foundations of Data Science
  • Dr Niccolo Tempini – is a Senior Lecturer in Data Studies in the Department of Sociology, Philosophy and Anthropology and a member of the Alan Turing Institute Ethics Advisory Board.
14:00-15:30

Data Science Lab: take part in an interactive live lab session with Dr. David Lopez to learn about the applications of data science for Management.

View the recording here (link includes access to the slideset and the code used during the session)

It is also possible to access the code online here and even run it yourself in the cloud at no cost here.


In this session Dr David Lopez will lead a data science lab for colleagues to learn more about how the application of data science such as topic modelling, sentiment analysis, text classification and video analysis can be used in Management research.

Dr David Lopez is Lecturer in Digital Economy at the University of Exeter Business School and adjunct Professor in operations and technology at IE Business School. David's research interests lie primarily in AI and data science as enablers of innovation in business and society

15:30-16:30

Taster Training: An introduction to Computer Vision with IDSAI Research Fellow Dr. Dmitry Kangin.

Unfortunately due to sound issues with this session, we were unable to obtain a clean recording.  However, we do plan to run this training again in the autumn and if you are itnerested in attending then please contact us and we will make sure to keep you updated.

 Thursday 2nd July
09:30-10:30

1:1 Data Discussions with the IDSAI Research Fellows: Book a time to discuss your data ideas, questions and challenges with an IDSAI Research Fellow.

Book your appointment here.

Wondering what to do next with your data set? Keen to understand what methods might work? Would you like the opportunity to discuss your data ideas, challenges and questions with an IDSAI research fellow?

In this session you can book a 20 minute appointment with Dr Oliver Stoner or Dr Dmitry Kangin who will be available to discuss your ideas and questions.

Dmitry Kangin’s research interests lie on the intersection between machine vision and machine learning. His work is focused on reinforcement learning as well as on generative models for spatiotemporal signal prediction. He has also worked on visual object tracking.

Oliver Stoner is an applied statistical data modeller. This means using statistical models as a tool for solving problems in the real world. This can involve answering questions about processes we have data for, or making better decisions under uncertainty.

14:00-15:00

IDSAI Introduces Data Science in Social Science – the INDEX exampleProfessor Alan Brown and Dr. Zena Wood discuss their work at INDEX – the Initiative in the Digital Economy at Exeter.

View the recording here.

Alan W. Brown is Professor in Digital Economy at the University of Exeter’s Business School. Alan’s research is focused on agile approaches to business transformation, and the relationship between technology innovation and business innovation in today’s rapidly-evolving digital economy.

Zena Wood is a Senior Research Fellow at INDEX. Her research lies within Geographic Information Science, focusing on collective behaviour and movement pattern analysis with applications in Smart Cities, transportation and urban planning. Many of her projects involve collaborations with experts from geography, psychology and business.

15:30-16:30

Turing @ Exeter: learn more about working with the Turing Institute and the opportunities available for colleagues at Exeter with Dr Katie Finch and contributions from Exeter’s Turing Fellows.

Dr Katie Finch is Manager of the IDSAI and the Turing University Liaison Manager for Exeter.

View the recording here.

 Friday 3rd July
09:30-10:30

Data Sets in Action: Professor Tom Monks, Dr Mike Allen and Dr. Charlotte James discuss their use of Data Science in Stroke Patient Data Sets.

View the recording here.


Tom Monks is an Associate Professor of Health Data Science. He holds a joint position between the Medical School and the IDSAI. He is a Fellow at the Alan Turing Institute and an Honorary Senior Research Fellow at the Clinical Operational Research Unit, Department of Mathematics, UCL. Tom is a methodologist with expertise is in applying computer simulation methods, optimisation and machine learning in health service delivery. His work aims to translate Data Science and Operational Research tools improve the quality and safety of health and social care.


Dr Mike Allen is a senior modeller in the University’s Medical School. Mike’s research interest are in the application of computer simulations (especially Discrete Event Simulation and Systems Dynamics) to improving delivery of healthcare. Mike also have an interest in the application of process improvement methodologies, such as Lean, Six Sigma and Theory of Constraints, to healthcare.


Dr Charlotte James is a Research Fellow in Data Science in the Medical School.

11:00-12:00

Taster Training: An Introduction to Optimisation with Dr George De Ath, Research Fellow in the department of Computer Science.

View the recording here.

13:00-14:00

The Turing Way: Join Dr Kirstie Whitaker, Turing Programme Lead for Tools, Practices and Systems as she discusses ‘The Turing Way’- a handbook for reproducible data science.

View the recording here.

Kirstie has also provided a number of links to useful resources for The Turing Way which are available below and also under our Resources page

• The book: https://the-turing-way.netlify.com
• Github repository: https://github.com/alan-turing-institute/the-turing-way
• Contributing guidelines: https://github.com/alan-turing-institute/the-turing-way/blob/master/CONTRIBUTING.md
• Online Collaboration Cafe outline and schedule: https://github.com/alan-turing-institute/the-turing-way/blob/master/project_management/online-collaboration-cafe.md
• Gitter chat room: https://gitter.im/alan-turing-institute/the-turing-way
• Twitter: https://twitter.com/turingway
• Mailing list: https://tinyletter.com/TuringWay


Reproducible research is work that can be independently verified. In practice, it means sharing the data and code that were used to generate published results - yet this is often easier said than done. 'The Turing Way' is a guide to reproducible data science that will support students and academics as they develop their code, with the aim of helping them produce work that will be regarded as gold-standard examples of trustworthy and reusable research.

Kirstie Whitaker discovered the wonder of brain imaging at the University of British Columbia during a masters degree in Medical Physics. She completed a PhD in Neuroscience at the University of California, Berkeley in 2012 and joins the Turing Institute from a postdoctoral fellowship at the University of Cambridge in the Department of Psychiatry. She is an Fulbright scholarship alumna and 2016/17 Mozilla Fellow for Science. Kirstie was named, with her collaborator Petra Vertes, as a 2016 Global Thinker by Foreign Policy magazine.

15:30-16:30

Data Journeys in the Sciences Book Launch: Join us for the official launch of the Springer Open Access volume Data Journeys in the Sciences, edited by Sabina Leonelli and Niccolo Tempini.

View the recording here (Exeter staff and students)

View the recording here (colleagues external to Exeter)


This event features the official launch of the Springer Open Access volume Data Journeys in the Sciences, edited by Sabina Leonelli and Niccolo Tempini and appearing in July 2020. The volume is a key output of the ERC project DATA_SCIENCE (led by Sabina Leonelli from 2014 to 2019, see www.datastudies.eu) and brings together leading thinkers in the history, philosophy and social studies of science to reflect on the challenges and conditions for mobilizing and (re)using research data.

The volume provides an opportunity to compare in-depth, qualitative analyses of data practices across space, time and fields as different as epidemiology, particle physics, astronomy, climate science, economics, biology, oceanography, history of art and biomedicine. This work informs strategic thinking about the production and use of Big and Open Data, particularly at such a transformative time for academia and the world. It is also an opportunity to celebrate the end of the DATA_SCIENCE project, the many contributions made by colleagues from around the university, and the continuing work of the Egenis research theme dedicated to Data Studies and its intersections with the theme strand on Data Governance, Algorithms and Values of the Institute for Data Science and Artificial Intelligence.


Schedule

  • 15:30 Introduction to the DATA_SCIENCE project: Prof. Sabina Leonelli
  • 15:35 Introduction to the Data Journeys volume: Dr. Niccolò Tempini
  • 15:40 Comments from authors: Prof. David Teira (UNED, Madrid), Prof. Staffan Müller-Wille (University of Cambridge), Prof. Brian Rappert (University of Exeter)
  • 15:55 Comments from DATA_SCIENCE collaborators at the University of Exeter: Prof. Lora Fleming, Dr. Ernesto Schwarz, Dr. Kirsten Walsh, Dr. Adrian Currie
  • 16:15 Panel discussion and Q&A