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