The Great Hall, Swansea University Bay Campus, Wales, United kingdom

Keynote Speakers

About The Conference

Linking Data - Improving Lives

‘Big Data’ and its potential to improve health and society is much discussed across the world. Linking disparate population-scaled datasets together is a key technique in the production of powerful new data resources that can illuminate, evaluate and steer policy and practice right across society.

However, with this work comes the responsibility to build trustworthy and well-governed approaches that safeguard privacy at all times. Opportunities for new infrastructures and architectures present themselves, new analytical techniques are needed, and a cadre of people equipped with a new blend of skills is required.

This unique conference is designed to provide researchers, policy makers, practitioners, administrators, regulators, and data guardians opportunities to learn more about the cutting edge work that is underway across the world, together with a chance to showcase their own achievements, and listen to talks from international leaders in the field.

It is a great pleasure to be able to host this important international event in Wales this year, as part of its bi-annual journey around the world. We hope you will take the opportunity to join us either by submitting an abstract of your work, or by attending as a delegate.

Conference Sub-Themes

  • Analytical approaches to distributed data
  • Data and linkage quality
  • Advanced analytics
  • Privacy, regulation & governance
  • Applied projects
  • Linking to emerging data types
  • Public engagement
  • Capacity building
  • Delivering and measuring impact

Who Should Attend?

Data Analysts who use large linked datasets to help understand society, human health, and well-being, such as:

  • Researchers and analysts in Universities, the private sector, non-for profit and community organisations
  • Public policy makers in local and national governments

Those who enable the use of linked data, including:

  • Technical experts working on linking, merging and preparing large complex datasets
  • Technologists and statisticians developing new analytic methods
  • Privacy, Information Governance and regulatory experts

Users of the results of linked data analyses, including:

  • Leaders of organisations interested in social policy, health and human development
  • Leaders in industry that develop products and knowledge in these areas

Students aspiring to work with linked data.

Key Dates

  • Registration open
    30 NOVEMBER 2015
  • Abstracts submission opens
    30 NOVEMBER 2015
  • Abstracts submission deadline
    04 MARCH 2016
  • Registration open for pre-conference workshops (including PhD / ECR workshops)
    19 APRIL 2016
  • Registration closed for all-inclusive package with gala dinner
    30 JUNE 2016
View Rates Register Now

WHAT HAPPENED AT THE LAST CONFERENCE?

Watch the video below to find out what 2014’s participants thought of their conference experience, or click here to go to the previous conference’s website to see more.


In Collaboration With

The Farr Institute of Health Informatics Research Administrative Data Research Network

Conference Proceedings Published By

International Journal of Population Data Science

Key Dates

  • Registration open
    30 NOVEMBER 2015
  • Abstracts submission opens
    30 NOVEMBER 2015
  • Pre-conference workshops application opens
    09 FEBRUARY 2016
  • Pre-conference workshops application closes
    23 FEBRUARY 2016
  • Abstracts submission deadline
    04 MARCH 2016
  • Registration open for pre-conference workshops (including PhD / ECR workshops)
    19 APRIL 2016
  • Registration closed for all-inclusive package with gala dinner
    30 JUNE 2016

Latest News

Sponsors

Platinum Sponsor

The Farr Institute of Health Informatics Research - CIPHER

Bronze Sponsor

ICES

Prizes Sponsor*

Royal Statistical Society

Session Sponsor

CHERISH-DE - Challenging Human Environments and Research Impact for a Sustainable and Healthy Digital Economy



*The Royal Statistical Society does not endorse the statistical content of the prize winners presentations.