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The 2019 joint UNECE/Eurostat Work Session on Statistical Data Confidentiality will be hosted by Statistics Netherlands in The Hague, on 29-31 October 2019.

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The main objectives of the meeting are to facilitate the exchange of experience and identify the best practices in dealing with technical issues related to statistical data confidentiality in statistical offices. The meeting is primarily intended for experts from national and international statistical offices as well as invited academics dealing with statistical disclosure limitation. Statistical disclosure limitation is an important issue influencing public perception of official statistics. Statistical confidentiality and protection of respondents’ privacy is included in the Fundamental Principles of
Official Statistics.

Information Notice 1

Information Notice 2

Templates:

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Comprehensive and other presentations

Organizers: Steering Committee

Presentation

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
1	Romania NIS – Microdata for scientific purposes. Lucian Alexandrescu (National Institute of Statistics of Romania)	Paper	Presentation
2	Joint Safe Center at the Hungarian Academy of Sciences. Beata Dobanyne Nagy, Eszter Regos (Hungarian Central Statistical Office)	Paper	Presentation
3	Access to microdata in the State Statistical Office of the Republic of North Macedonia. Mirjana Bosnjak, Slobodan Malevski *(State Statistical Office of the Republic of North Macedonia)*	Paper	Presentation
4	A more flexible approach to access Statistics Canada microdata. Kelly Cranswick (Statistics Canada)	Paper	Presentation
5	Interoperability Challenges in Access to Microdata. Natalia Volkow (INEGI)	Paper	Presentation
6	Data Confidentiality in ICBS Research Rooms. Julia Vider (CBS, Israel)	Paper	Presentation

Session 3: Risk assessment Session Organizers: : Josep Domingo-Ferrer (Universitat Rovira i Virgili), Krish Muralidhar (University of Oklahoma)
1	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)	Paper	Presentation
2	10 is the safest number that there’s ever been. Felix Ritchie (University of the West of England)	Paper	Presentation
3	The Synthetic Data Challenge. Mark Elliot and Jennifer Taub (University of Manchester)	Paper	Presentation
4	Connecting privacy models and statistical disclosure control methods through bistochastic anonymization. Krish Muralidhar (U.Oklahoma), Nicolas Ruiz (OECD), Josep Domingo-Ferrer (URV)	Paper	Presentation
5	What is the difference. Krish Muralidhar (University of Oklahoma), Rathindra Sarathy (Oklahoma State University)	Paper	Presentation

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

Session Organizers: Eric Schulte Nordholt (Statistics Netherlands)

1

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

Presentation

2

Rosstat

Paper

Presentation

Session 2: Tabular data Session Organizers: Sarah Giessing (Destatis)
1	Draft concepts for generalising tools implementing the cell key method to the case of continuous variables. Sarah Giessing and Reinhard Tent (Destatis)	Paper	Presentation
2	Prodcom disclosure control with non-nested national and european classification. Maël Buron (Insee)	Paper	Presentation
3	Computational experience with stabilized Benders for the cell suppression problem. Daniel Baena, Jordi Castro and Antonio Frangioni (Universitat Politecnica de Catalunya)	Paper	Presentation
4	Releasable inner cell frequencies by post-processing protected tabular data. Øyvind Langsrud (Statistics Norway)	Paper	Presentation
5	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)	Paper	Presentation
6	Algorithmic Matching Attacks on Optimally Suppressed Tabular Data. Kazuhiro Minami (The Institute of Statistical Mathematics, Tokyo)	Paper	Presentation

Session 1.2: Microdata protection Session Organizer: Aleksandra Bujnowska (Eurostat), Janika Tarkoma (Statistics Finland) and Steven Thomas (Statistics Canada)
1	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)	Paper	Presentation
2	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)	Paper	Presentation
3	Synthetic data generation for anonymization purposes. Application on the Norwegian Survey on living conditions/EHIS. Johan Heldal and Diana-Cristina Iancu (Statistics Norway)	Paper	Presentation
4	A practice guide for microdata anonymization. Thijs Benschop and Matthew Welch (World Bank)	Paper	Presentation
5	Training research output checkers. Felix Ritchie (University of the West of England)	Paper	Presentation
6	Creation of synthetic microdata using dummy random variables of high dimension statistics based on big data. Institute of Economic Research, Hitotsubashi University	Paper	Presentation

Session 5: Framework for confidentiality Session Organizer: Aleksandra Bujnowska (Eurostat), Janika Tarkoma (Statistics Finland)
1	Understanding personalities in data access decision-making. Richard Welpton (The Health Foundation)	Paper	Presentation
2	Successes and Challenges in Increasing Accessibility at Statistics Canada. Steven Thomas (Statistics Canada)	Paper	Presentation
3	Evaluation criteria for the selection of the SDC Method. Christiane Seifert, Johannes Rohde (IT.NRW) and Sarah Giessing (Destatis)	Paper	Presentation
4	Crisis management – training, practicing and testing. Janika Tarkoma and Harri Koskinen (Statistics Finland)	Paper	Presentation
5	Statistical confidentiality in the range of measures safeguarding privacy of data subjects. Aleksandra Bujnowska (Eurostat)	Paper	Presentation

Session 4: Emerging issues Session Organizer: Josep Domingo-Ferrer (Universitat Rovira i Virgili)
1	Comparing methods of safely plotting variables on a map. Y. (Sapphire) Han, Peter-Paul de Wolf and Edwin de Jonge (Statistics Netherlands)	Paper	Presentation
2	Private Set Intersection with Analytics. Guiseppe Bruno and Diana Nicoletti (Bank of Italy), Monica Scannapieco and Diego Zardetto (Istat)	Paper	Presentation
3	The Potential of Anonymization Methods for Creating Detailed Geographical Data in Japan. Shinsuke Ito and Masayuki Terada (Chuo University)	Paper	Presentation
4	Protecting consumer privacy in smart metering by randomized response. Josep Domingo-Ferrer, Bastian Stolb, David Sanchez (Universitat Rovira i Virgili)	Paper	Presentation
5	Challenges and experiences in anonymizing and disseminating microdata from agricultural surveys in the context of the FAO AGRISurvey program. Thijs Benschop, Clara Aida Khalil (FAO)	Paper	Presentation

Session 7: Software tools for statistical data confidentiality

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

1

cellKey - consistent perturbation of statistical tables. Bernhard Meindl (Statistics Austria) and Tobias Enderle (Destatis)

Paper

Presentation

2

Microdata.no - Instant Access to Microdata. Johan Heldal, Svein Johansen, Ørnulf Risnes (Statistics Norway)

Paper

Presentation

Link to Workshop's page on the UNECE website

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Schlüssel

The 2019 joint UNECE/Eurostat Work Session on Statistical Data Confidentiality will be hosted by Statistics Netherlands in The Hague, on 29-31 October 2019.

Comprehensive and other presentations

Session 1: Access to microdata

Session 3: Risk assessment

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

Session 2: Tabular data

Session 1.2: Microdata protection

Session 5: Framework for confidentiality

Session 4: Emerging issues

Session 7: Software tools for statistical data confidentiality