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UNECE Expert Meeting on Statistical Data Collection and Sources 2024

UNECE Expert Meeting on Statistical Data Collection and Sources 2024

22 - 24 May 2024
Geneva Switzerland

About the meeting

The expert meeting will explore crucial themes in statistical data collection encompassing multimode/mixed source collection, alternative data sources, and the evolving landscape of interview modes. In the dynamic shifts in our socioeconomic landscape, the imperative for innovative solutions has never been more pressing. Therefore, anchored within these critical themes, the meeting will also cover the transformative role of innovative approaches such as generative AI, serving as a force multiplier to enhance the efficiency and reliability of contemporary data collection practices. By fostering the discourse on these fundamental themes, the meeting’s aim is to stimulate collaborative endeavors, share invaluable experiences, and chart a course toward a more robust and adaptive framework for statistical data collection.

Document Title Documents Paper  Presentations
ENG ENG
Information Notice 1 PDF -
Information Notice 2 (logistic information) PDF -
Timetable PDF -
Workshops and Small Group Discussions PDF  
Session 1: Alternative Data Sources and Process Automation  
Moderators: Paulo Saraiva (INE Portugal) and Rock Lemay (Statistics Canada)
Tapping into web data for European statistics – challenges and experiences of the ESSnet Web Intelligence Network - Klaudia Peszat and Dominika Nowak (Statistics Poland) PDF   PDF
Use of non-survey data in production of official statistics - Roger Jensen (Statistics Norway) PDF

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System-to-System Data Collection in business surveys applied to an agricultural survey: small-scale pilot results - Ger Snijkers, Tim de Jong, Chris Lam and Cath van Meurs (Statistics Netherlands) PDF

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Data donation of personal physical activity trackers - Maaike Kompier, Anne Elevelt, Annemieke Luiten, Joris Mulder, Barry Schouten and Vera Toepoel (Statistics Netherlands) PDF

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Investigating paradata for one of the largest surveys in Sweden - Andreea Bolos, Viktor Dahl and Sofia Holsendahl (Statistics Sweden) PDF

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Citizen-generated data and machine learning: an innovative method to study violence against women - Claudia Villante, Gianpiero Bianchi, Alessandra Capobianchi and Maria Giuseppina Muratore (ISTAT, Italy) PDF PDF
SORS Case: Performance Indicators in Population and Agricultural Censuses - Marija Hinda and Nebojsa Tolic (Statistical Office of the Republic of Serbia) PDF

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Revision of the UN Handbooks on Household Surveys: seeking input from the ECE region – Haoyi Chen (Inter-Secretariat Working Group on Household Surveys)    PDF
Use of A.I. to use Linkedin as a new source of data - Simona Cafieri, Gerardo Masiello, Emanuele Amoruso and Michele Iannone (ISTAT, Italy) PDF  
Mobile Phone Data for Enhanced Tourism Statistics in Italy: Insights from Vodafone-Istat Project Foundation - Lorenzo Cavallo, Maria Teresa Santoro and Silvia Di Sante (ISTAT, Italy) PDF PDF
Tourism Data: Integrated Information System (S2S), sharing data and Official Statistics - Rui Martins, Sofia Rodrigues, Maria Jordão and Carla Braga (INE Portugal) PDF PDF
Reforming Travel & Tourism Statistics - Tracy Davies and Dean Fletcher (ONS, UK) PDF PDF
Designing a multichannel assistance service integrated with AI solutions for respondents - Paola Bosso, Silvana Curatolo, Gabriella Fazzi and Paolo Francescangeli (ISTAT, Italy) PDF PDF
Smart manufacturing and opportunities for Official statistics, a focus on SMEs - Pasquale Papa, Paola Bosso, Giovanni Gualberto Di Paolo and Diego Distefano (ISTAT, Italy) PDF PDF
Session 2: Approach to Multi-Mode and Mixed Source Collection: Navigating Challenges and Leveraging Advantages 
Moderators: Pasquale Papa (Istat, Italy), Ian O’Sullivan (ONS, UK), Önder Değirmenci (Turkstat, Türkiye)
Polish experiences in statistical data collection including the use of mixed and multi-mode approaches - Janusz Dygaszewicz and Marcin Szymkowiak (Statistics Poland) PDF PDF
Successes and challenges of moving from a paper, to an online, based data collection mode for business surveys - Kate Thorsteinsson (ONS, UK) PDF PDF
Optimizing Collection Strategy- Labor Force Survey - Cindy Ubartas and Sylvie Cyr (Statistics Canada) PDF PDF
Implementing an Adaptive Survey Design (ASD) for the Transformed Labour Force Survey (TLFS) - Michalina Siemiatkowska and Maria Tortoriello (ONS, UK) PDF PDF
Conflation of Maps for the Integration of Geospatial Data and Enhancement of Building Registry Quality - Gianluigi Salvucci, Damiano Abbatini, Daniela Ichim, Juri Corradi and Stefania Lucchetti (ISTAT, Italy) PDF PDF
Data collection of the environmental survey in cities: data validation - Domenico Adamo, Gianpiero Bianchi, Lucia Mongelli and Paolo Francescangeli (ISTAT, Italy) PDF PDF
Quality of Survey and Administrative Data: Two New Applications of Representativity-Indicators - Nina Sommerland, Ella Williams Davies, Kim Warne and Chelsea-Rhianne McGuire  (ONS, UK) PDF PDF
Working towards a business-centered vision on data collection - Anita Vaasen-Otten and Leanne Houben (Statistics Netherlands) PDF

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ONS business-centred approach to research recruitment methods to understand business engagement needs – challenges and successes - Inara Dorsett and Kate Thorsteinsson (ONS, UK) PDF PDF
Use and Role of Administrative Records/Data In The Modern Turkish Official Statistics Production Process - Önder Değirmenci and Hasan Ali Kozan (Turkstat, Türkiye) PDF PDF
Redesigning the Dutch Holiday Survey into a smartphone friendly questionnaire - Rachel Vis-Visschers (Statistics Netherlands) PDF

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Use the Blaise 5 system to implement multi-mode surveys - Gina Cheung (Statistics Netherlands) PDF PDF
Mixing data collection modes to achieve response rates above 70% - Results of a mixed-mode experiment at the Hungarian Central Statistical Office - Mátyás Gerencsér, Mária Zanatyné Fodor, Linda Mohay, Ferenc Mújdricza and Rozália Kalácska (Statistics Hungary) PDF PDF
Make it easy to refuse - Marie Fuglsang and Bo Bilde (Statistics Denmark) PDF PDF
Three experimental insights for strengthening response rates - Viktor Dahl, Sofia Holsendahl and Andreea Bolos (Statistics Sweden) PDF

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10 years of communication experiments at Statistics Netherlands - Jelmer de Groot (Statistics Netherlands) PDF PDF
Session 3: Future of Interview Modes and Interviewers 
Moderators: Susan Oudshoorn and Leonne Hollanders (Statistics Netherlands)
Experience on Multimode Data Collection in the NSI Spain. Challenges and Opportunities - Francisco Hernández Jiménez (INE, Spain) PDF PDF
INS Romania's Experience with CAPI Data Collection for Household Statistical Surveys using Survey Solutions Platform - Ana-Maria Ciuhu and Silvia Pisică (INS, Romania) PDF

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Developments in Interviewing at Statistics Netherlands: The Challenges for Personal Interviewing in a Targeted Approach - Jack Mommers and Jacky Deneer (Statistics Netherlands) PDF PDF
Australia's Data Collection Modernisation - Jodie Stevenson (Australian Bureau of Statistics) PDF PDF
New Modes of Data Collection for Gaining Cooperation from Young People: The Case of the Survey «Children and Young People: Behavior, Attitudes, and Future Projects» - Samanta Pietropaoli, Federico De Cicco, Serena Liani, Fabio Massimo Rottino and Andrea Stanco (ISTAT, Italy) PDF

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Developments to Automate and Streamline Data Collection and Support Customers’ Needs - Epp Karus (Statistics Estonia) PDF PDF
Smart Surveys: How to Implement Smart Data Collection in Official Statistics? - Jelmer de Groot (Statistics Netherlands) PDF PDF
A Fresh Start: Redesigning Our Field Operation – Including Roles, Contracts, and Casework Allocations – at the ONS - Dulcie Wyatt (ONS UK) PDF PDF
Applying Workforce Management Principles to Personal Interview Modes - Jack Mommers and Martijn van de Riet (Statistics Netherlands) PDF