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9-11 Dec 2019 - 4th International Conference on Administrative Data Research

Event Date: 
2019-12-09

What: 4th International Conference on Administrative Data Research - Conference Theme - Public Data for Public Good

Where: The Royal Welsh College of Music and Drama, Castle Grounds, Cathays Park, Cardiff, CF10 3ER

When: 9-11 December 2019

The use of administrative data and the ability to link records to an individual level to produce empirically based insights, serves to effect positive change for public good through evidence based policy making. The increasing availability of government data for research is an important trend enabling population data science to penetrate deeper than ever before into social and economic issues. However, the use of these vast data resources is still in its infancy with considerable challenges to overcome. This year, the 4th International ADR Conference aims to address such challenges towards lessening the gap between theory and practice.

The conference programme will include a range of presentations across the following topic areas to share new knowledge, generate discussion and promote collaboration opportunities:

  • Applied research: work that has contributed new knowledge, using data linkage or population data sciences approaches. Research that is either complete or will have significant findings by the conference date

  • Case studies and concepts: research study protocols; local/case-specific technical developments; proof of concept studies; concept dictionaries; data resource descriptions; capacity building

  • Ethical, Legal and Social Implications: regulatory and governance challenges and solutions; confidentiality; data security; public and other stakeholder engagement; ethical issues; social acceptability

  • Evidence to support policy making: work generating evidence to inform policy making; engaging with policy makers; demonstrating and measuring impact

  • Methodological and analytical advances: dealing with large scale, complex and messy data; data linkage and quality; emerging data types; data visualisation; data interoperability;

To read more and to register click here.