Programme

Click here for the programme

Click here for posters

The easiest way to access the most up-to-date programme during the conference is to scan this QR code below on your mobile device.  No QR reader?  No problem.  Just type this link into your mobile browser (you do not need to download the application): teamup.com/ksd29khpnk6o2k73mt

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Keynotes & Invited Speakers

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Dr. Michael Schull, Opening Keynote

President, CEO, and Senior Scientist at the Institute for Clinical Evaluative Sciences, and Professor in the Department of Medicine at the University of Toronto

“Social License and Health Research in the Era of Mass Market Data Science: Will the Public Rebel or Shrug?”

What are the implications for health services researchers, data stewards, and data science of an era when personal data is generated at a dizzying pace and is increasingly treated as a commodity, and where data analytics are widespread and potentially used to manipulate purchases and gain power? Are these trends causing the public to worry, or are they being greeted with a collective shrug? How might both of these scenarios threaten trust and social license?

Bio—Michael Schull is President, CEO and Senior Scientist at the Institute for Clinical Evaluative Sciences, and Professor in the Department of Medicine at the University of Toronto. His research focuses on health service utilization, quality of care, health system integration and patient outcomes, and the evaluation of health policy. His studies use administrative health datasets and linkages with clinical data, and he works closely with health system decision and policy makers. Dr. Schull practices as an Emergency Medicine specialist at Sunnybrook Health Sciences Centre in Toronto.


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Anna Vignoles, Day 2 Keynote

Professor of Education at the Faculty of Education, University of Cambridge and ESRC Council Member

“The Future of Administrative Data Research in the UK – an ESRC Perspective”

Professor Vignoles will reflect on ESRC’s commitment to administrative data research to date and future aspirations.  The establishment of UK Research Innovation in April 2018 as the national funding agency investing in science and research in the UK is creating new opportunities for ADR to flourish and to realise its full potential.  Professor Vignoles will set out how researchers should respond to the new opportunities now emerging.

Bio—Anna Vignoles is Professor of Education at the Faculty of Education, University of Cambridge and is representing the ESRC in her capacity as ESRC Council member and advisor on ESRC’s data infrastructure strategy. Anna has extensive experience of using large scale administrative data to study factors relating to pupil achievement and students’ outcomes from education.


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Peter Christen,                       Invited Speaker, day 1

Professor at the Australian National University (ANU) Research School of Computer Science

“Linking administrative databases – Recent developments and research challenges”

Data linkage has been an active field of research in various domains over the past five decades. While traditionally applied in the health domain and national censuses, more recently there has been increasing interest in the social sciences and by governments and businesses to integrate large administrative databases with the aim to generate linked population databases that can be analysed for a variety of purposes.

Linking large administrative data collections incurs various technical challenges, including different data formats, data quality, scalability of the linkage process, automating the linkage process, and privacy and confidentiality issues because the databases to be linked are commonly about people alive today. Furthermore, there are organisational issues such as how to store linked data sets, how to deal with uncertainties in linked data, access to confidential databases across organisations, the use of appropriate linkage methods, evaluating linkage quality and completeness, and disseminating linkage results to the end user. An end-to-end linkage framework is required.

In this talk we provide a brief introduction to traditional data linkage methods, describe some recent developments in novel linkage algorithms and techniques, and highlight technical research challenges that need to be solved in order to facilitate automated linkage of large administrative databases.

Bio—Peter Christen is a Professor at the Australian National University (ANU) Research School of Computer Science. He received his Diploma in Computer Science Engineering from ETH Zurich in 1995, and graduated with a PhD in Computer Science from the University of Basel in 1999. His research interests are in data linkage and data mining, with a focus on privacy and machine learning aspects of data linkage. He has published over 140 articles in these areas, including in 2012 the monograph “Data Matching” published by Springer.

ADDITIONAL PRE-CONFERENCE WORKSHOPS

On Wednesday, June 20th—the day before our 2-day conference—there are two FREE workshops offered in Belfast.  Follow the links for location, times, and registration forms.

Generating synthetic data with synthpop package for R from 1PM-5PM at Queen’s University Belfast.

and

Engaging with the Public: A Workshop for Researchers from 2-5pm at Ulster University, Belfast Campus