Comprehensive and other presentations

Organizers: Steering Committee

Session 1: Access to microdata

Session Organizers: Aleksandra Bujnowska (Eurostat), Janika Tarkoma (Statistics Finland) and Steven Thomas (Statistics Canada)

Session 1.1: Microdata access facilities

Romania NIS – Microdata for scientific purposes. Lucian Alexandrescu (National Institute of Statistics of Romania)

Presentation

Joint Safe Center at the Hungarian Academy of Sciences. Beata Dobanyne Nagy, Eszter Regos (Hungarian Central Statistical Office)

A more flexible approach to access Statistics Canada microdata. Kelly Cranswick (Statistics Canada)

Interoperability Challenges in Access to Microdata. Natalia Volkow (INEGI)

Data Confidentiality in ICBS Research Rooms. Julia Vider (CBS, Israel)

Session 3: Risk assessment

Session Organizers: : Josep Domingo-Ferrer (Universitat Rovira i Virgili), Krish Muralidhar (University of Oklahoma)

Optimising the Trade-off between Information Utility and Disclosure Risk in a GA Synthetic Data Generator. Yingrui Chen, Jennifer Taub, Mark Elliot (University of Manchester)

10 is the safest number that there’s ever been. Felix Ritchie (University of the West of England)

The Synthetic Data Challenge. Mark Elliot and Jennifer Taub (University of Manchester)

Connecting privacy models and statistical disclosure control methods through bistochastic anonymization. Krish Muralidhar (U.Oklahoma), Nicolas Ruiz (OECD), Josep Domingo-Ferrer (URV)

What is the difference. Krish Muralidhar (University of Oklahoma), Rathindra Sarathy (Oklahoma State University)

Session 6: Confidentiality issues of the Census 2020/2021 round

Session Organizers: Eric Schulte Nordholt (Statistics Netherlands)

A framework for assessing perturbative methods for protection of Census 2021 data at Statistics Portugal. Ines Rodrigues, Paula Campos and Teresa Fragoso (Statistics Portugal)

Paper

Session 2: Tabular data

Session Organizers: Sarah Giessing (Destatis)

Draft concepts for generalising tools implementing the cell key method to the case of continuous variables. Sarah Giessing and Reinhard Tent (Destatis)

Computational experience with stabilized Benders for the cell suppression problem. Daniel Baena, Jordi Castro and Antonio Frangioni (Universitat Politecnica de Catalunya)

Releasable inner cell frequencies by post-processing protected tabular data. Øyvind Langsrud (Statistics Norway)

Primary analysis of disclosure risk in tabular data from a Brazilian economic survey. Samela Batista Arantes and Maysa S. de Magalhaes (Brazilian Institute of Geography and Statistics)

Algorithmic Matching Attacks on Optimally Suppresses Tabular Data. Japan Institute of Statistics

Session 1.2: Microdata protection

Session Organizer: Aleksandra Bujnowska (Eurostat), Janika Tarkoma (Statistics Finland) and Steven Thomas (Statistics Canada)

Promoting Statistical Disclosure Control for novices:  A Handbook. Richard Welpton (The Health Foundation), Arne Wolters (The Health Foundation), Emily Griffiths (University of Manchester), James Scott (University of Essex), Christine Woods (University of Essex)

Access to microdata: Case of household surveys in Bosnia and Herzegovina-current practice and further development. Edin Šabanović (Agency for Statistics of Bosnia and Herzegovina)

Synthetic data generation for anonymization purposes. Application on the Norwegian Survey on living conditions/EHIS. Johan Heldal and Diana-Cristina Iancu (Statistics Norway)

A practice guide for microdata anonymization. Thijs Benschop and Matthew Welch (World Bank)

Training research output checkers. Felix Ritchie (University of the West of England)

Creation of synthetic microdata using dummy random variables of high dimension statistics based on big data. Institute of Economic Research, Hitotsubashi University

Session 5: Framework for confidentiality

Session Organizer: Aleksandra Bujnowska (Eurostat), Janika Tarkoma (Statistics Finland)

Session 4: Emerging issues

Session Organizer: Josep Domingo-Ferrer (Universitat Rovira i Virgili)

Session 7: Software tools for statistical data confidentiality

Session Organizer: Peter-Paul de Wolf (Statistics Netherlands)