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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.

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 - 16.10.2019

Preliminary Agenda - 21.10.2019

Templates:

MS Word template

Latex template


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Comprehensive and other presentations

Organizers: Steering Committee




Presentation

High-Level Group for the Modernisation of Official Statistics. Taeke Gjaltema (UNECE)


Presentation

Session: Microdata access facilities (topic 1: Access to microdata)

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

1

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

Paper

Presentation

2

Joint Safe Centre of the Hungarian Central Statistical Office and the Hungarian Academy of Sciences. Zoltán Vereczkei (Hungarian Central Statistical Office), János Köllő (Hungarian Academy of Sciences)

PaperPresentation
3Access 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)PaperPresentation
4

Virtual data labs - A more flexible approach to access Statistics Canada microdata. Kelly Cranswick (Statistics Canada)

PaperPresentation
5

Harnessing the potentiality of microdata access risk management model. Natalia Volkow (INEGI)

PaperPresentation
6

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

abstractPresentation
7

Accessing Data in the ONS Secure Research Service: A Certification Regime for Remote Connectivity. Andrew Engeli (ONS, UK)

PaperPresentation

Session: Risk assessment (topic 3)

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

1

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

PaperPresentation
2

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

PaperPresentation
310 is the safest number that there’s ever been. Felix Ritchie (University of the West of England)PaperPresentation
4

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

PaperPresentation
5

Privacy, confidentiality, disclosure: What is the difference ? Krish Muralidhar (University of Oklahoma), Rathindra Sarathy (Oklahoma State University)

PaperPresentation
6

Assessing the re-identification potential of health care data for people with statutory health insurance in Germany (preliminary results).

Hannah Lobert (German Institute of Medical Documentation and Information (DIMDI))
PaperPresentation

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

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)

PaperPresentation
2

Ensuring data confidentiality of All-Russian Population Census 2020. Anna Troitskaya (Rosstat)

Paper

Presentation

Session: Tabular data (topic 2)

Session Organizers: Sarah Giessing (Destatis)

1

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

PaperPresentation
2Prodcom disclosure control with non-nested national and european classification. Maxime Beauté, Maël Buron (Insee)PaperPresentation
3

Using a stabilized Benders algorithm for cell suppression. Daniel Baena, Jordi Castro and Antonio Frangioni (Universitat Politecnica de Catalunya)

PaperPresentation
4

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

PaperPresentation
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)

PaperPresentation
6

Algorithmic Matching Attacks on Optimally Suppressed Tabular Data. Kazuhiro Minami (The Institute of Statistical Mathematics, Tokyo)

PaperPresentation
7

ABS perturbation methodology through the lens of Differential Privacy.  Joseph Chien (ABS)

Paper Presentation

Session: Microdata protection  (topic 1: access to microdata)

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

1Synthetic data generation for anonymization purposes. Application on the Norwegian Survey on living conditions/EHIS. Johan Heldal and Diana-Cristina Iancu (Statistics Norway)PaperPresentation
2

Statistical Disclosure Control for outputs:  A HandbookRichard Welpton and Arne Wolters (The Health Foundation), Emily Griffiths (University of Manchester), James Scott and Christine Woods (University of Essex)

Paper

Presentation


SDC Handbook and Data Awareness Training. Richard Welpton (The Health Foundation)
Presentation
3

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

abstractPresentation
4

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

PaperPresentation
5

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

abstractPresentation

Session: Framework for confidentiality (topic 5)

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

1

Understanding personalities in data access decision-making. Richard Welpton (The Health Foundation)

PaperPresentation
2

Successes and Challenges in Increasing Accessibility at Statistics Canada. Steven Thomas (Statistics Canada)

PaperPresentation
3

Evaluation criteria for the selection of a SDC Method. Christiane Seifert, Johannes Rohde (IT.NRW) and Sarah Giessing (Destatis)

PaperPresentation
4

Crisis management – training, practicing and testing. Janika Tarkoma and Harri Koskinen (Statistics Finland)

PaperPresentation
5

Data protection laws and methods in official statistics. Aleksandra Bujnowska (Eurostat)

PaperPresentation

Session: Emerging issues (topic 4)

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)

PaperPresentation
2

Privacy Preserving Set Intersection. Guiseppe Bruno and Diana Nicoletti (Bank of Italy), Monica Scannapieco and Diego Zardetto (Istat)

PaperPresentation
3

The Potential of Anonymization Methods for Creating Detailed Geographical Data in Japan. Shinsuke Ito (Chuo University, Japan) and Masayuki Terada (NTT DOCOMO, INC, Japan)

PaperPresentation
4

Protecting consumer privacy in smart metering by randomized response. Bastian Stölb and Josep Domingo-Ferrer (Universitat Rovira i Virgili)

PaperPresentation
5

Statistical confidentiality of agricultural surveys in the context of the AGRISurvey program. Thijs Benschop, Clara Aida Khalil (FAO)

PaperPresentation

Session: Software tools for statistical data confidentiality (topic 7)

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

1

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

PaperPresentation
2

Microdata.no - Safe Access to Register Microdata. Johan Heldal and Svein Johansen (Statistics Norway), Ørnulf Risnes (Norwegian Centre for Research Data)

PaperPresentation


Link to Workshop's page on the UNECE website



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