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Past events

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12 January 202314:00

Geological mapping in the age of Artificial Intelligence with Dr Charlie Kirkwood (IDSAI)

200 years since the publication of Britain’s first geological map by William Smith in 1815, our official geological maps - and those of geological surveys around the world - continue to be produced by a process of mental modelling and hand-drawing, in which polygons are drawn around parcels of rock that are deemed sufficiently self-similar to be classed as distinct units.. Full details
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9 January 20239:00

University of Exeter Digital Societies: The future of social media platforms

The University of Exeter’s Digital Societies Growhouse Programme is designed to stimulate creative, mutually beneficial, innovative and impactful partnerships between external organisations and interdisciplinary groups of researchers. The Programme’s aim is to create a space which fosters disruptive, creative, impactful, interdisciplinary collaborations which will forge and inform the fair, justice-focused and ethical digital societies of the future. Full details
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7 December 202214:00

Building a Social Media Belief Observatory by Professor Joshua Introne at School of Information Studies, Syracuse University

There is continuing concern that online problems like toxicity, extremism, misinformation, and polarization are indicators of deeper societal ills, and moreover, that mediating technologies exacerbate these social problems. Research has focused on specific challenges, like detecting, suppressing, and correcting misinformation, or preventing toxicity. However, the various pernicious online phenomena that have drawn research attention are all at some level connected to beliefs, and might be usefully examined as a particular type of belief dynamics. Full details
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2 December 202215:00

BOOK Launch: Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development

This event celebrates the launch of the new volume Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development, edited by Hugh F. Williamson and Sabina Leonelli (Springer, 2022). All are welcome. Full details
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29 November 202213:00

Deep Neural Networks as Dynamical Systems by Dr Andrew Corbett (IDSAI)

Interpretable AI is key to understanding the predictions of machine learning models. Full details
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23 November 202214:00

Variant-level fine-mapping in major depressive disorder: new insights, new questions by Joni Coleman, Lecturer in Statistical Genetics at KCL

The adoption of genome-wide association studies (GWAS) has produced a statistical revolution in psychiatric genetics, identifying hundreds of regions of the genome robustly associated with risk for developing psychiatric disorders. Full details
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17 November 202214:00

Bipartite attitude networks: a Method for Exploring Opinion-Based Groups, Group-Based Opinions, and Social Polarization by Professor Michael Quayle at University of Limerick

I introduce a network-based approach to modelling attitude-based groups as bipartite networks, where people are linked by the attitudes they jointly hold, and attitudes become socially connected when jointly held by people. This structure simultaneously links people into groups and attitudes into meaningful clusters. With examples from opinion-surveys, social-media, and simulations, I show how group structure emerges in this "attitude space", and how people are located in it.. Full details
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9 November 202213:30

Leakage and the Reproducibility Crisis in ML-based Science by Sayash Kapoor, a second year PhD candidate at Princeton University.

The use of machine learning (ML) methods for prediction and forecasting has become widespread across the quantitative sciences. Full details
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2 November 202214:00

Design Thinking On Mars: Architecting New Systems for Collaborative Science on the Martian Surface

Sara Schnadt is an artist, designer and systems architect who works on the Mars 2020 Mission at NASA Jet Propulsion Laboratory. In her 22-year career in software, she has designed tools that provide wide access to civic data sets in the arts, digital journalism, data science for scientific research, and earth-observing and solar system aerospace. Since joining JPL in 2017, Sara has designed a system architecture for mathematical model management for use in mission planning for the Europa Clipper mission. She has also designed and implemented an architecture across the Mars 2020 ground system that, for the first time, formally captures science intent in the science team’s planning and analysis tools.. Full details
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31 October 202215:30

EGENIS seminar: "AI in Medicine: Finding equilibrium in global data capture", Prof Robin Pierce (University of Exeter)

The range of applications of AI in medicine has grown considerably in recent years. The increase in computational capacity has allowed for an array of technologies that can uncover a vast number of correlations that could improve health outcomes or yield scientific knowledge. Increased understanding of the impacts of the social determinants of health, environmental, and other (non-) biological factors on health outcomes would seem to support the drive to amass, aggregate, and integrate different types of data. Yet, even in global data capture, what is absent may be the greater challenge for data governance, possibly affecting explainability, accuracy and, ultimately, health outcomes. Data governance aims to govern data but may have little to say about “absent” data. Using examples of data-intensive technologies, e.g., Deep and Frequent Phenotyping, this paper explores the terrain of finding equilibrium as a regulatory challenge for health research. Full details
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26 October 202214:00

Working with the National Pupil Database in the ONS Secure Research environment by Alexey Bessudnov, Associate Professor (Sociology) at Exeter

In this talk Alexey will describe his experience of working in the ONS Secure Research environment with the data from the National Pupil Database (owned by the Department for Education). Full details
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19 October 202214:00

Causal Inference: Introduction to Partial Identification and Recent Advances by Jakob Zeitler, PhD Candidate in Foundational Artificial Intelligence at the Centre for Doctoral Training in Foundational AI at UCL, London

Abstract: Causal inference provides the fundamental causal reasoning that machine learning is missing to effectively tackle decision making problems. So far, full identification of causal effects has been the focus of the majority of research: Strong and mostly untestable assumptions, such as no unmeasured confounding, yield point estimates of how a sprint will increase my endurance by 2% or how $10k more in savings will get my loan application accepted. Ideally, we would want to make fewer strong assumptions, but still provide informative suggestions.. Full details
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12 October 202214:00

Deep-learning detection of harmful algal blooms by Dr David Moffat, PML

The detrimental effects of harmful algal blooms (HABs) on the marine ecosystem, human health, and shellfish and aquaculture industry are well known. Anthropogenic activities have led to an increase in frequency, extent and magnitude of HAB activity. Full details
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5 October 202214:00

Working with No 10 and ONS data scientists: data science for public policy by Dr Federico Botta

In this talk, I will present my experience of working with data scientists in 10 Downing Street and the Office for National Statistics. Full details
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28 September 202214:00

Using adjoint to accelerate inference in linear systems

As part of this year's IDSAI Research Seminar Series, Richard Wilkinson, Professor of Statistics, Faculty of Science, University of Nottingham will be presenting on using adjoint to accelerate inference in linear systems. Full details
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22 September 202214:00

Using Machine Learning to Create an Early Warning System for Welfare Recipients

Using high-quality nation-wide social security data combined with machine learning tools, we develop predictive models of income support receipt intensities for any payment enrolee in the Australian social security system between 2014 and 2018. Full details
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12 September 202215:30

Seminar: Linking health and social data for research: the CIDACS experience in Brazil

The Centre for Data and Knowledge Integration for Health (CIDACS, Fiocruz) was established in December 2016 in Salvador (Bahia-Brazil). Its main purpose is to conduct interdisciplinary research on populational health, generating scientific knowledge and providing evidence to support public policymaking. The core data come from integrating Brazilian national health and social datasets into two main resources - the 100 Million Brazilian Cohort and the CIDACS birth cohort. CIDACS has been developing and consolidating its data management and governance practices and experimenting with novel methodological approaches for data linkage (Cidacs-RL) and data analysis (quasi-experimental designs).. Full details
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30 June 202218:00

The Ethics of Artificial Intelligence

As Artificial Intelligence continues to impact many areas of our lives, we’re bringing together a world leading group of experts from health, tech, philosophy, and academia to discuss ethical questions that must be confronted. From driverless cars to dementia treatment, how can we ensure machines do the right thing? Will they inherit our own biases and unfairness?. Full details
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27 June - 1 July 20229:00

IDSAI Data Science Week 2022

IDSAI invites you to join in celebrating the best of Data Science and AI at Exeter by hosting a week long series of talks, research project presentations and training opportunities at the Streatham and Penryn Campuses. Full details
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9 June 202214:00

Machine Learning Techniques for Remote Sensing

This talk will present some new machine learning techniques for remote sensing. Full details
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27 April 202211:00

Research Software Engineer Community Social

Are you a Research Software Engineer (RSE), or in a similar role? If so, the RSE Group would like to invite you to their monthly social. Full details
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16 February - 29 April 202214:00

Causality Seminar Series 2022

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1 November 202115:00

Presenting the Turing Fellow Research Projects - Prof Tim Lenton and Prof Gavin Shaddick: Data Science for Sustainable Development: Environment, Climate and Health

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11 October 202115:00

Presenting the Turing Fellow Research Projects - Prof Sabina Leonelli: The Evidence Base of Artificial Intelligence: Supporting Data Fairness to Enhance Research Quality

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28 June - 2 July 20219:30

IDSAI Data Science Week 2021

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14 June 202113:00

University of Exeter Workshop on Media and UK Elections

The British Election Longitudinal News Study 2015-2019 (BELNS) covers campaign coverage relating to three general elections: 2015, 2017, 2019. Full details
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26 May 202115:00

Joint IDSAI / Egenis Seminar - "From blind optimism to complete rejection: Lessons from the UK’s exams algorithm experience"

Join us for this seminar with Ed Humpherson, Head of the UK’s Office for Statistics Regulation. The seminar is hosted by the Institute for Data Science and Artificial Intelligence and Egenis, the Centre for the Study of Life Sciences. Full details
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24 May 202115:00

Presenting the Turing Fellow Research Projects - Prof Peter Challenor: Uncertainty Quantification (UQ) for Black-Box Computational Models with Application to Machine Decisions

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12 April 202114:00

Causality@Exeter: Seminar Series - Individualised Treatment Effect in Educational Interventions

Join us for the final seminar in this series looking at Causality research at Exeter.. Full details
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29 March 202114:00

Causality@Exeter: Seminar Series - Causal Effects in Economics

Join us for the third in this series of seminars looking at Causality research at Exeter.. Full details
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26 March 202114:00

Towards Responsible Plant Data Linkage: Global Challenges for Food Security and Governance - Session 4 & Conclusion: Social challenges of data linkage

The social implications of plant and agricultural biotechnologies have been the focus of much debate in recent decades. Data production, sharing and linkage raise new issues concerning the inclusion of diverse stakeholders and ensuring that data works for them, practically and equitably. Building plural knowledges into plant data infrastructures, through the inclusion of practical and traditional knowledge from farmers and breeders, the recognition of diverse (e.g. gendered, but also professional) expertise and the implementation of multilingual systems, will be an important facet in establishing the relevance of those infrastructures to a wide range of stakeholders. Ensuring that global circulations of plant data are fair as well as FAIR, moreover, requires sustained attention to the distribution of scientific and computing resources that facilitate access to and effective use of data resources. Throughout all of this, ensuring that key subjects of food security and end-users of data. Full details
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19 March 202114:00

Towards Responsible Plant Data Linkage: Global Challenges for Food Security and Governance - Session 3: Governance Challenges of Data Linkage

New flows and intersections of big data from -omics research in plant science, including field-based phenomics as well as genomics, to various types of socioeconomic and environmental data, pose distinct challenges for governance. Data access and ownership for the common good and/or scientific advancement remain areas of considerable contestation, especially given the distinctive intellectual property landscape of plant science, which is marked by the predominance of transnational corporations on the one hand and regimes of national sovereignty on the other. Moreover, longstanding challenges of implementing Access and Benefit Sharing (ABS) schemes in regard to biological materials are renewed by the increasing availability of digital data, while the integration of biological with socioeconomic data raises new questions of privacy. This session will address these and other governmental issues raised by plant data linkage, from open science policy through legal and political regulation. Full details
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15 March 202114:00

Causality@Exeter: Seminar Series - Combining Mendelian randomization with Pharmacogenetics

Join us for the second in this series of seminars looking at Causality research at Exeter.. Full details
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12 March 202114:00

Towards Responsible Plant Data Linkage: Global Challenges for Food Security and Governance - Session 2: Technical Challenges of Data Linkage

Making plant data FAIR (Findable, Accessible, Interoperable, Reusable) has been the subject of much effort. Extensive semantic tools are now available, including the multiple, intersecting ontologies that comprise the Planteome project, as are metadata standards such as the Minimum Information About a Plant Phenotyping Experiment (MIAPPE). Such tools nevertheless require collective work to develop and maintain. Beyond ensuring data themselves are FAIR, actively linking and circulating data poses further challenges. These include finding ways to link biologically, experimentally or geographically related yet heterogeneous datasets consistently, and to make data usable in practice to potential users with divergent aims and resources, not only reusable in theory. This session will address the technical challenges of data linkage, including the development of standards and infrastructures; epistemic issues; and the organizational requirements of this work.. Full details
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5 March 202114:00

Towards Responsible Plant Data Linkage: Global Challenges for Food Security and Governance - Introduction & Session 1: Experiences from The Trenches

How is data managed in practice? To start the workshop, this session will discuss case studies of plant data use and linkage in the context of particular research projects and breeding programs, drawn from contemporary experience as well as historical research. Consideration of these cases will ground the thematic discussion of the following sessions, and provide an opportunity to reflect on the practical dimensions of the various challenges of data linkage and their solutions. This session will also begin with a general introduction to the online workshop goals and format by the organisers. Full details
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1 March 202114:00

Causality@Exeter: Seminar Series - Assessing the impact of violence reduction units.

Join us for the first in this series of seminars looking at Causality research at Exeter.. Full details
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22 February 202115:00

IDSAI Seminar: Using ensemble meteorological datasets to overcome limitations in a Bayesian volcanic ash inverse modelling system

Join Dr Helen Webster, lecturer in Global Systems and Senior Scientist at the Met Office, as she discusses using ensemble meteorological datasets to overcome limitations in a Bayesian volcanic ash inverse modelling system. Full details
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21 January 202115:00

Turning on a DyME: Incorporating time-use and health datasets into a Dynamic Microsimulation Epidemiological model for COVID-19

Speakers: Professor Gavin Shaddick, Chair of Data Science & Statistics Professor Karyn Morrissey, European Centre for Environment & Human Health Dr Fiona Spooner, Research Fellow, IDSAI / ECEHH Dr Jesse Abrams, Research Fellow, IDSAI / GSI. Full details
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17 - 18 December 202013:00

2020 Online Conference on Environmental Intelligence

The University of Exeter and the Met Office invite you to join a national conference on Environmental Intelligence. Full details
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11 December 202013:00

Urban Analytics: Progress and Prospects

Mark will introduce the Urban Analytics programme at Turing and discuss the definition and scope of urban analytics, illustrate its importance using some contemporary and topical examples (including Covid), and highlight some of the main opportunities and challenges for the future. Full details
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23 September 202015:00

IDSAI Seminar: Carly Kind, Director of the Ada Lovelace Institute

Carly Kind leads the delivery of the Ada Lovelace Institute’s ambitious agenda to promote informed public understanding of the impact of AI and data-driven technologies on different groups in society. She was appointed Director of the Institute in July 2019.. Full details
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3 July 202015:30

Book Launch: Data Journeys in the Sciences

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 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. Full details
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29 June - 3 July 20209:30

Data Science Week 2020

From 29th June - 3rd July the IDSAI showcased and celebrated the best of data science and AI at Exeter by hosting a series of seminars, workshops, presentations and training opportunities. Full details
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19 June 202015:30

POSTPONED. EGENIS seminar series / book launch: Prof Sabina Leonelli (University of Exeter)

To be rescheduled. Full details
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18 June 20207:00

Mathematical Modelling for the COVID-19 Pandemic

Professor Alex Cook from the National University of Singapore discusses mathematical modelling and its role in the COVID-19 pandemic. Full details
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10 June 202015:00

IDSAI Seminar: Dr Ana Beduschi - International Migration Management in the Age of AI

Join us for an online seminar from Dr Ana Beduschi, Associate Professor of Law at Exeter. Full details
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4 June 20209:30

Opportunities for Collaboration in Data-Driven Engineering

Applications are invited to attend a half-day virtual workshop to explore opportunities for collaborations between engineering researchers and data scientists.. Full details
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26 May 202015:00

IDSAI Seminar: Professor Deborah Ashby - Florence Nightingale, pigeonholes and mustard seeds: using data to improve health from the time of the Crimea to the time of the coronavirus

Watch the recording of Professor Deborah Ashby's seminar here: Full details
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13 May 202015:00

IDSAI Seminar: Professor Tim Dodwell - Learning to Solve: Scalable Data-Driven Model Order Reduction for Digital Twins

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29 April 202015:00

IDSAI Seminar: Dr. Pier Luigi Buttigieg - The art and science of knowledge representation for Earth and Environmental Science

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22 April 202015:00

IDSAI Seminar: Dr Edmond Awad - The Moral Machine Experiment

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23 March 202013:00

POSTPONED: The ethical implications of AI and data science research

THIS EVENT HAS BEEN POSTPONED Join a panel of colleagues from the Institute for Data Science and AI for an opportunity to consider and discuss the ethical implications when undertaking AI and data science research.. Full details
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17 March 202013:15

Professor Helen Margetts OBE: Re-thinking Government with AI: The Alan Turing Institute Public Policy Programme

The IDSAI are delighted to announce that Professor Helen Margetts OBE will be giving an open talk to Exeter staff and students on Tuesday 17th March.. Full details
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29 January 202015:00

IDSAI Seminar - Dr Adam Sobey: The underrated importance of diversity in Genetic Algorithms

Watch the recording of the seminar from Dr Adam Sobey, lecturer at the University of Southampton.. Full details
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22 January 202015:00

IDSAI Seminar - Sharing your data story: how to get the most impact from your data and research

Watch the recording of the seminar from Dr Sarah Callaghan, Editor-in-Chief, Patterns.. Full details
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19 December 201914:30

IDSAI Seminar and Christmas Reception: Professor Steve Roberts

Please join us for this IDSAI Seminar and Christmas Reception to hear from Professor Steve Roberts, Director of the Oxford-Man Institute and Professor of Information Engineering, plus poetry from special guest Judy Brown. Full details
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16 December 20199:30

"AI between Plant and Agricultural Science: Green Paths towards Environmental Intelligence"

The workshop seeks to bring together experts in the plant and agricultural sciences who are working with computational methods of analyses, the integration of diverse datasets spanning biological and environmental data, and the management of plant data infrastructures, in order to discuss what possibilities might be offered for the field by the Alan Turing Institute, the UK’s National Institute for Data Science and Artificial Intelligence, and the Environmental Intelligence initiative based at the University of Exeter. The Environmental Intelligence initiative seeks to develop new ways to understand complex interactions between climate, ecosystems, and human social and economic systems through the application of data science tools. Full details
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4 December 201916:00

CANCELLED - Digital Humanities Seminar: For Everyone: the Participatory Archive

Postponed due to UCU planned strike action. Read more at Full details
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28 November 201914:30

Programming with Models: Statistical Algorithms for Hierarchical Model Structures using NIMBLE.

This is a talk not to miss for anyone interested in statistical modelling and/or MCMC. Drinks and refreshments will be served from 15:30 after the seminar. Full details
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20 November 201916:00

Digital Humanities Seminar: Visual AI & the Digital Humanities: critical and ethical issues

Digital Humanities Lab seminar series. Dr Giles Bergel (University of Oxford) & University of Exeter Art History and Visual Culture: "Visual AI & the Digital Humanities: critical and ethical issues". Join us for drinks and nibbles following the paper!. Full details
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23 October 201916:00

Digital Humanities Seminar: An introduction to the ‘Living with Machines’ project

Digital Humanities Lab seminar series. Dr Katie McDonough (The Alan Turing Institute) and Prof Jon Lawrence (University of Exeter): "An introduction to the ‘Living with Machines’ project". Join us for drinks and nibbles following the paper!. Full details
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11 October 201915:30

Professor Xiao-Li Meng: AI, Beatles, and Elections - A Nano Tour of Data Science

Professor Xiao-Li Meng is the Whipple V.N. Jones Professor of Statistics at Harvard University and the Editor in Chief of the Harvard Data Science Review. Professor Meng received his BS in mathematics from Fudan University in 1982 and his PhD in statistics from Harvard in 1990. He was on the faculty of the University of Chicago from 1991 to 2001 before returning to Harvard, where he served as the Chair of the Department of Statistics (2004-2012) and the Dean of Graduate School of Arts and Sciences (2012-2017). Full details
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8 October 201915:00

Professor Dong Nguyen: Natural Language Processing (NLP) for computational social science

Professor Dong Nguyen is assistant professor at Utrecht University. She was previously a research fellow at the Turing Institute. She completed her Ph.D. at the University of Twente having received a master's degree from the Language Technologies Institute at Carnegie Mellon University and a bachelor's degree in Computer Science from the University of Twente.. Full details
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23 September 20199:45

IDSAI: Health Data Day

The IDSAI will be hosting a Health Data Day on 23rd September to bring together researchers from across Exeter with interests in health and data science approaches to address health challenges. Full details
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4 September 20199:30

IDSAI Politics and Policy Theme Workshop

The Politics & Policy theme at the IDSAI brings together researchers in the social sciences and computer sciences interested in the use of large-scale data to understand governance, comparative politics, social mobility, (in)equality, social networks, communication, digital services design, public economies, and technologies in the defence and security sector.. Full details
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18 July 201915:00

IDSAI Summer Seminar & Reception: Professor Richard Everson

All University of Exeter staff and students are invited to join the IDSAI for the inaugural seminar by its Director, Professor Richard Everson. The seminar will run from 3-4pm and will be followed by a summer drinks reception. Full details
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16 July 201914:30

Statistical Challenges in Cyber Security

Open to all University of Exeter Staff and Students - tea, coffee and networking available after the seminar. Full details
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16 July 201913:30

Defence & Security at Turing

Professor Briers will provide an overview of the Defence & Security programme at Turing, the partners, current research activities (ranging from security in the cloud, scalable MCMC, to Arabic sentiment analysis), and ways to get involved. There will be an opportunity for tea, coffee and networking after the talk.. Full details
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26 June 201914:00

IDSAI Seminar: Novel Machine Learning Methods for Cancer Research

IDSAI Seminar given by Dr Colin Campbell, Reader in Mathematics for Information Technology at the Intelligent Systems Laboratory, University of Bristol. Full details
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18 - 21 June 20199:00

42nd Research Students’ Conference in Probability and Statistics (RSC 2019)

The University of Exeter is proud and excited to host the 42nd Research Students’ Conference in Probability and Statistics (RSC 2019) on the 18th-21st June 2019 sponsored by the Alan Turing Institute. Full details
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4 June 201913:00

IDSAI: Data Governance, Algorithms and Values Workshop

This IDSAI research theme, led by Professor Sabina Leonelli, addresses the social embedding of data across different settings, from business to policy and government, from biology to health and climate change, and the implications of such embedding brings both for the governance and regulation of data flows and for the technical management and use of data and related analytic tools. Responsible data management, the role of values in algorithms and questions of data ethics are key to this theme. Rather than considering these issues in isolation, we study their role within real-world challenges for - and both current and future applications of - data science and artificial intelligence. All colleagues whose research is concerned with the theme are invited to join this workshop on 4th June to discuss the theme and future research in this area at the University. There will be a budget for the theme and funding opportunities for seed projects and Turing Institute connections.. Full details
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22 May 201910:00

Environmental Intelligence Summit

Our interaction with the natural environment plays a crucial role in all aspects of society: our health, wealth, safety and future development. Environmental Intelligence represents the use of cutting edge Data Science & AI technology to integrate multiple complex data sources, along with Environmental Research outputs, to create transformational research and tools that enable informed decision making. Full details
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15 May 201915:00

IDSAI SEMINAR: Getting to the 2015 US 0.070ppm standard for ozone: The statistician’s story.

Hear from Professor Jim Zidek, Professor Emeritus at the Department of Statistics, University of British Columbia, on the journey to new US ozone standards announced on Monday, October 26, 2015 by the Environmental Protection Agency (EPA), the Agency responsible for monitoring the Nation’s air quality standards under the Clean Air Act of 1970. Jim will talk about his experiences as a member of the EPA’s Clean Air Scientific Advisory Committee (CASAC) for Ozone and his perspectives on the process as well as the results it produced. Full details
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1 - 3 May 20199:00

DPUK Datathon at the University of Exeter

Clinical trials are moving earlier to intervene before the onset of dementia itself. As the amount of data that we have available to us increases rapidly, it is becoming vital to innovate in order to make sense of it and gain new insights. At the Exeter Datathon, you will work with others in the DPUK Data Portal. You will focus on predicting dementia risk; conversion from mild cognitive impairment to dementia; and the potential of transfer learning to facilitate predictions between different datasets.. Full details
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4 April 20198:30

Workshop on Multiple Criteria Decision Making (MCDM)

In many real-world problems, several conflicting criteria need to be optimized simultaneously. Therefore, it is crucial to properly structure and solve the problem with relevant tools for supporting a decision maker. The purpose of the workshop is to provide knowledge and basic concepts, an overview of different methods and tools in solving multiple criteria decision making (MCDM) problems. MCDM methods and tools have been found to be useful in several such applications e.g. health care, education, environment, transportation, business, and production. Full details
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3 April 201916:00

IDSAI Seminar: Estimating Sea Ice Parameters with Satellite Data Synergy

Shiming Xu is currently an associated professor at Department of Earth System Science, Tsinghua University. His major research interests include numerical model development for geophysical fluid dynamics, sea ice parameter retrieval, and polar climate change. His recent works involve the development of physical data synergy methods that utilizes multiple sensor and multiple satellite data for Arctic sea ice. Full details
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