Workshops

If you would like to advertise a population data linkage related workshop, please contact us at info@ipdln.org

There are currently no upcoming workshops.

 

Applying for and using linked data - Applicant workshop, Government of Western Australia, Department of Health, various dates and locations

The Data Linkage Branch now offers a tailored workshop for researchers and other applicants interested in applying for linked data. Both new and experienced researchers can benefit from the workshop.

Data Integration and Applications 2018, Singapore, 17-20 November, 2018

Held in conjunction with ICDM 2018, Singapore, on 17 November 2018

The goal of this workshop is to bring together computer scientists with researchers from other domains and practitioners from businesses and governments to present and discuss current research directions on multi source data integration and its application. The workshop will provide a forum for original high-quality research papers on record linkage, data integration, population informatics, mining techniques of integrated data, and applications, as well as multidisciplinary research opportunities. 

Further information

Introduction to Bayesian Hierarchical Modelling and Computation, University of Southampton, June 11-12, 2018

This first short-course is aimed at applied scientists (with good graduate degrees) who are thinking of using Bayesian methods and would like to receive a gentle introduction with a large practical component using R and WinBuGS.

Oxford Evaluating Linkage Quality for the Analysis of Linked Data, University of Oxford - Said Business School, May 11, 2018

We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) and the Consumer Data Research Centre (CDRC).

Western University, 2018 Summer Workshop Series, London, Ontario, Canada, May 7, 8, 9, and 11

Enhance your research methodology skills with faculty and student leaders from The Department of Epidemiology and Biostatistics as well as representatives of ICES Western and SAS Institute.

New Developments in Data Privacy, Cambridge, United Kingdom, 05 to 06 December 2016

The first day will be titled New Approaches to Anonymisation, the second will be on Engaging People in Data Privacy.  
 
Both days are aimed at a general audience and are likely to be of particular interest to UKAN members. The aim of the symposium is to provide participants with an understanding of the latest developments in data privacy. The symposium will be free to attend and you will be able to register for just one day or both.

Further information

Data Linkage: Techniques, Challenges and Applications, Cambridge, United Kingdom, 12 to 16 September 2016

The overall aim of the programme is to bring together researchers and practitioners from various research disciplines and application domains to foster exchange between different parts of the mathematical sciences where the topics of data linkage and anonymisation are being addressed, as well as between researchers investigating data linkage and privacy protection. Further information

PopInfo'15, Sydney, Australia, 10 August 2015

Co-located with the 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

PopInfo'15 will be an interdisciplinary workshop and we will call for papers on algorithms and techniques for Population Informatics, as well as papers about applications and case studies of Population Informatics in diverse areas of research and practice. Further information

Data Integration and Applications 2015, Atlantic City, USA, 13 November 2015

Held in conjunction with The IEEE International Conference on Data Mining 2015

The goal of this workshop is to bring together computer scientists with researchers from other domains and practitioners from businesses and governments to present and discuss current research directions on multi source data integration and its application. The workshop will provide a forum for original high-quality research papers on record linkage, data integration, mining techniques of integrated data, and applications, as well as multidisciplinary research opportunities. Further information