I'm pleased to announce a special issue of JRSS A on Data Science for Society: Challenges, Developments and Applications. This covers a number of areas, including:
* Researcher access to data while preserving privacy and maintaining confidentiality,
* Understanding quality and sources of bias in data derived from multiple sources, and
* Handling the complexity and high-dimensionality of large, longitudinal and high velocity data sources.
Further details are available here<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.statslife.org.uk%2Fmembers-area%2Flatest-call-outs-to-members%2F4183-call-for-a-specially-themed-issue-of-jrss-series-a&data=02%7C01%7Ck.harron%40ucl.ac.uk%7C6e4b758265d34c01ef6908d6ee4d5b14%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C636958415000566367&sdata=Ux77zMRIgNRtSAthMST8mGXOPJNIo17nwzxSROmSuVQ%3D&reserved=0>, with a deadline for submissions in November 2019.
The focus is on the development and/or evaluation of innovative methodology that is directly motivated by, and substantially increases our understanding of, real world data problems in social and medical settings. Purely technical contributions will not be suitable, and authors are encouraged to contact the guest editors prior to submission: Dr Pia Hardelid ([log in to unmask]<mailto:[log in to unmask]>) and Prof Peter Christen ([log in to unmask]<mailto:[log in to unmask]>).
Dr Katie Harron<http://www.ucl.ac.uk/ich/research/population-policy-practice/People/harron-katie>
Senior Lecturer, Sir Henry Wellcome Fellow
Child Health Informatics Group<https://www.ucl.ac.uk/child-health/research/population-policy-and-practice/child-health-informatics-group>
University College London Great Ormond Street Institute of Child Health / Institute of Health Informatics
0207 905 2141 (UCL GOS ICH) / 0203 549 5576 (UCL-IHI)
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