'Data linkage and anonymisation: setting the agenda'

Workshop theme

The opening workshop sets the agenda for the Data Linkage and Anonymisation programme. It will bring together a diverse range of participants, including mathematical scientists from statistics and computer science as well as researchers and data users from other disciplines and domains of application. Viewing data linkage and anonymisation as fields of methodological research in the mathematical sciences, the objectives of the workshop are:

to introduce the programme topics to participants with varied degrees of familiarity with these fields, including induction of junior researchers, and promotion of communication between participants working in different methodological/disciplinary traditions;
to identify key challenges which these research fields address; to map out and discuss recent developments and research frontiers; to clarify connections between different areas of research;
to activate participants to identify common interests with a view to initiating further discussion and to potential collaboration and to develop a future timetable of events to facilitate collaboration.

At the end of the workshop, participants will be able to identify other participants with common interests, organise themselves into informal working groups and collaborate on research activities, seminars, etc. as the programme continues.

Applications for this workshop are now closed

The Institute kindly requests that any papers published as a result of this programme’s activities are credited as such. Please acknowledge the support of the Institute in your paper using the following text:

The author(s) would like to thank the Isaac Newton Institute for Mathematical Sciences, Cambridge, for support and hospitality during the programme 'Data linkage and anonymisation: setting the agenda', where work on this paper was undertaken. This work was supported by EPSRC grant EP/K032208/1.

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Timetable

Tuesday 5th July 2016
08:00 to 18:00	DLAW01 - Tutorial Day	No Room Required
08:30 to 08:50	Tutorial Day Registration	Room 1
08:50 to 09:00	Tutorial Day Welcome from Christie Marr (INI Deputy Director) and David Hand (Organiser)	Room 1
09:00 to 10:30	Peter Christen Australian National University Tutorial 1: Data Linkage – Introduction, Recent Advances, and Privacy Issues	Room 1
10:30 to 11:00	Morning Coffee	No Room Required
11:00 to 12:30	Peter Christen Australian National University Tutorial 1: Data Linkage – Introduction, Recent Advances, and Privacy Issues	Room 1
12:30 to 13:30	Lunch @ Wolfson Court	No Room Required
13:30 to 15:00	Adam Smith Pennsylvania State University Tutorial 2: Defining ‘privacy’ for statistical databases	Room 1
15:00 to 15:30	Afternoon Tea	No Room Required
15:30 to 17:00	Adam Smith Pennsylvania State University Tutorial 2: Defining ‘privacy’ for statistical databases	Room 1
17:00 to 18:00	Tutorial Day Wine Reception	No Room Required

Wednesday 6th July 2016
09:00 to 09:50	Main Registration	Room 1
09:50 to 10:00	Welcome from John Toland (INI Director)	No Room Required
10:00 to 11:00	Adam Smith Pennsylvania State University tba	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Jerry Reiter Duke University Data Dissemination: A Survey of Recent Approaches, Challenges, and Connections to Data Linkage	Room 1
12:30 to 13:30	Lunch @ Wolfson Court	No Room Required
13:30 to 14:30	Cynthia Dwork Microsoft (UK) Marginals and Malice	Room 1
14:30 to 15:30	John Abowd U.S. Census Bureau; Cornell University The Challenge of Privacy Protection for Statistical Agencies	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 17:00	Peter Christen Australian National University Recent developments and research challenges in data linkage	Room 1
17:00 to 17:30	Wrap-up	No Room Required
17:30 to 18:30	Welcome Wine Reception	No Room Required
19:30 to 22:00	Formal Dinner at Trinity College	No Room Required

Thursday 7th July 2016
10:00 to 11:00	Christine O'Keefe CSIRO Mathematics, Informatics and Statistics Measuring risk and utility in remote analysis and online data centres – why isn’t this problem already solved?	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Josep Domingo-Ferrer New Directions in Anonymization: Permutation Paradigm, Verifiability by Subjects and Intruders, Transparency to Users	Room 1
12:30 to 13:30	Lunch @ Wolfson Court	No Room Required
13:30 to 15:30	Christopher Dibben University of St Andrews ; Natalie Shlomo University of Manchester Perspectives on user needs for academic, government and commercial data	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 17:00	Rebecca Steorts Duke University Modern Bayesian Record Linkage: Some Recent Developments and Open Challenges	Room 1
17:00 to 17:30	Wrap-up	No Room Required

Friday 8th July 2016
10:00 to 11:00	Harvey Goldstein University of Bristol; University College London Probabilistic anonymisation of microdatasets and models for analysis	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Ray Chambers University of Wollongong Statistical Modelling using Linked Data - Issues and Opportunities	Room 1
12:30 to 13:30	Lunch @ Wolfson Court	No Room Required
13:30 to 14:30	Aaron Roth University of Pennsylvania Using Differential Privacy to Control False Discovery in Adaptive Data Analysis	Room 1
14:30 to 15:30	Jared Murray Carnegie Mellon University Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 17:30	Future Planning	Room 1