2022 Conference

 

17 May 2022

Register for the conference!

UPDATE: The deadline for Early Bird ticket packages is now 1 July 2022.

You can now buy tickets for this year's conference! There are several ticket packages currently available:

 

You'll need to sign up to Crowd to purchase a ticket. Crowd is a new platform designed to facilitate networking and collaboration among data science researchers and analysts around the world. Joining Crowd will not only mean you can purchase tickets for this year's conference but also get to know and converse with your fellow attendees ahead of Edinburgh.

 

Once you have created a profile make sure you join the IPDLN community by clicking "Groups" in the left-hand side menu and then selecting the IPDLN group. You can then view the ticket package options and purchase them via the registration link in the "Featured" section of the group. Joining the IPDLN group on Crowd is the best way to receive all future conference updates and news.

 

The deadline to purchase the discounted early bird rate packages is 1 July 2022. The deadline for group rate ticket packages is 5 June 2022. The deadline for all other packages is 29 August 2022.

 

Further day rate packages will be announced later in the year.

 

The main conference venues are part of the University of Edinburgh and are located close to the Old Town. If you wish to book accommodation you can contact the Edinburgh First reservations teams on bed.breakfast@ed.ac.uk or (+44) 0131 651 2189. Edinburgh First has year-round hotels close by to the conference venue. Further information is available on their website.

 

If you have questions regarding any aspect of the submissions process, or the conference in general, please email hub@adruk.org

 

The deadline for submitting presentation abstracts, workshop proposals, and expert panel applications has ended. 

Congratulations to all successful candidates. We look forward to hearing your presentations in person!

Important links:

Sign-up to Crowd to buy Conference tickets.

Find out more about the 2022 Conference Scientific Committee.

 

Conference theme: Data linkage research: informing policy and practice 

 

Sub-themes (in bold):

 

  • Data linkage, methods, systems and technology: methodological developments, including:
    • Improving data and linkage quality
    • Software development
    • Artificial Intelligence approaches
    • Privacy enhancing techniques
    • Developing and improving data services
  • Research using real-world data: research outcomes utilising linked datasets, incorporating:
    • Health data linkage research
    • Crime, justice and policing data linkage research
    • Education outcomes data linkage research
    • Understanding households & use of Census data in data linkage research
    • Research to support Covid-19 related insights
  • Multi-sector data linkage:
    • Overcoming challenges and sensitivities of cross-sectoral and cross-jurisdictional data linkage
    • Linking to other emerging data types
  • Linking data to produce Official Statistics:
    • The creation and use of new data linkages to produce or improve Official Statistics
    • Opportunities for collaborations between government and external researchers
  • Ethics, law and social implications:
    • Ethical, Legal and Social aspects of population data use including collection, use, sharing and ownership, as well as who gets to make these decisions
    • implications of ethical, legal and social aspects of data use for emerging applications like AI
  • Public engagement and involvement in population data research:
    • Embedding public engagement and involvement into the development and delivery of data linkage and research

 

Keynote speakers:

 

Dr Maurício L. Barreto is a Senior Investigator at Fiocruz and an Emeritus Professor at the Federal University of Bahia, Brazil. His research in epidemiology and public health focuses on the social and environmental determinants of health, health inequalities, and the impact of social interventions on health. He is co-founder and has directed the Centre for Data and Knowledge Integration for Health (CIDACS) in Salvador, Brazil since 2016. His current major project is focused on the impact of social protection policies on health using the 100 million Brazilian Cohort. 

Professor Stefan Bender is Head of the Research Data and Service Centre of the Deutsche Bundesbank and an Honorary Professor at the School of Social Sciences, University Mannheim. His research interests are data access, data quality, merging administrative survey data and/or big data, record linkage, management quality and establishment data. He has published over 100 articles in journals including the American Economic Review and the Quarterly Journal of Economics.

Professor Linnet Taylor is Professor of International Data Governance at the Tilburg Institute for Law, Technology, and Society in the Netherlands. Her research focuses on digital data, representation, and democracy, with particular attention to transnational governance issues. Her work on group privacy and data justice is used in discussions of technology governance in countries around the world. Linnet leads the European Research Council (ERC)-funded Global Data Justice project, which aims to develop a social-justice-informed framework for governance of data technologies on the global level. She is also a member of the Dutch Young Academy (De Jonge Akademie) and a co-chair of the Dutch Research Council (NWO)’s Social Science roundtable advisory group.

Professor Sir Ian Diamond became the United Kingdom’s National Statistician on 22 October 2019. This role is a Crown appointment as the Authority’s and the Government’s principal adviser on official statistics. Sir Ian previously served as a non-executive member of the UK Statistics Authority Board from June 2018 to August 2019 and was Principal and Vice-Chancellor of the University of Aberdeen from 2010 to 2018.

Hans-Erik G. Aronson is the National Digital Research Infrastructure Director of Health Data Research UK (HDR UK). He leads the UK trusted and connected Data and Analytics Research Environments programme (DARE UK), which aims to design and deliver a national data research infrastructure for cross-domain analysis of sensitive public sector data. He previously was Vice President, Information Technology and Chief Information Officer of Cold Spring Harbor Laboratory and Vice President of the Association of Independent Research Institutes from before joining HDR UK in July 2021.

Rachel Plachcinski’s interest in perinatal health research started when she trained as an antenatal teacher with the National Childbirth Trust, the UK’s largest birth and parenting charity, after having her own babies. She went on to study psychology (BSc) and Psychological Approaches to Health (MSc) at the University of Leeds. Her current projects involve being lay co-lead for parent, patient and public involvement at the Policy Research Unit in Maternal and Neonatal Health and Care at NPEU, University of Oxford, and leading on PPPI for MuMPreDiCT, University of Birmingham, and Birth Timing 2 at City, University of London. She was one of the original members of the HDR-UK Public Advisory Board and is a member of the Cochrane Consumer Network Executive and Editorial Board.