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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: Approach to Multi-Mode and Mixed Source Collection: Navigating Challenges and Leveraging Advantages
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   
Use of non-survey data in production of official statistics - Roger Jensen (Statistics Norway) PDF  
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  
Data donation of personal physical activity trackers - Maaike Kompier, Anne Elevelt, Annemieke Luiten, Joris Mulder, Barry Schouten and Vera Toepoel (Statistics Netherlands) PDF  
Investigating paradata for one of the largest surveys in Sweden - Andreea Bolos, Viktor Dahl and Sofia Holsendahl (Statistics Sweden) PDF  
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  
SORS Case: Performance Indicators in Population and Agricultural Censuses - Marija Hinda and Nebojsa Tolic (Statistical Office of the Republic of Serbia) PDF  
Designing a multichannel assistance service integrated with AI solutions for respondents - Paola Bosso, Silvana Curatolo, Gabriella Fazzi and Paolo Francescangeli (ISTAT, Italy) 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 - Maria Teresa Santoro, Lorenzo Cavallo and Silvia Di Sante (ISTAT, Italy) PDF  
Tourism Data: Integrated Information System (S2S), sharing data and Official Statistics - Rui Martins, Sofia Rodrigues, Maria Jordão and Carla Braga (INE Portugal) PDF  
Reforming Travel & Tourism Statistics - Tracy Davies and Dean Fletcher (ONS, UK) 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  
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  
Session 2: Alternative Data Sources and Process Automation 
Moderators: Pasquale Papa (Istat, Italy) and Ian O’Sullivan (ONS, UK)
Polish experiences in statistical data collection including the use of mixed and multi-mode approaches - Janusz Dygaszewicz and Marcin Szymkowiak (Statistics Poland) PDF  
Successes and challenges of moving from a paper, to an online, based data collection mode for business surveys - Kate Thorsteinsson (ONS, UK) PDF  
Optimizing Collection Strategy- Labor Force Survey - Cindy Ubartas and Sylvie Cyr (Statistics Canada) PDF  
Implementing an Adaptive Survey Design (ASD) for the Transformed Labour Force Survey (TLFS) - Michalina Siemiatkowska and Maria Tortoriello (ONS, UK) 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  
Data collection of the environmental survey in cities: data validation - Domenico Adamo, Gianpiero Bianchi, Lucia Mongelli and Paolo Francescangeli (ISTAT, Italy) PDF  
Quality of Survey and Administrative Data: Two New Applications of Representativity-Indicators - Ella Williams Davies, Kim Warne, Chelsea-Rhianne McGuire and Nina Sommerland (ONS, UK) PDF  
Working towards a business-centered vision on data collection - Anita Vaasen-Otten and Leanne Houben (Statistics Netherlands) PDF  
ONS business-centred approach to research recruitment methods to understand business engagement needs – challenges and successes - Inara Dorsett and Kate Thorsteinsson (ONS, UK) PDF  
First assessments of advantages deriving from use of e-invoicing data in short term business statistics - Salvatore Filiberti (ISTAT, Italy) PDF  
Redesigning the Dutch Holiday Survey into a smartphone friendly questionnaire - Rachel Vis-Visschers (Statistics Netherlands) PDF  
Use the Blaise 5 system to implement multi-mode surveys - Gina Cheung (Statistics Netherlands) 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  
Make it easy to refuse - Marie Fuglsang and Bo Bilde (Statistics Denmark) PDF  
Three experimental insights for strengthening response rates - Viktor Dahl, Sofia Holsendahl and Andreea Bolos (Statistics Sweden) PDF  
10 years of communication experiments at Statistics Netherlands - Jelmer de Groot (Statistics Netherlands) 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  
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  
Developments in Interviewing at Statistics Netherlands: The Challenges for Personal Interviewing in a Targeted Approach - Jack Mommers and Jacky Deneer (Statistics Netherlands) PDF  
Australia's Data Collection Modernisation - Jodie Stevenson (Australian Bureau of Statistics) 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» - Pietropaoli S., De Cicco F., Liani S., Rottino F.M. and Stanco A. (ISTAT, Italy) PDF  
Developments to Automate and Streamline Data Collection and Support Customers’ Needs - Epp Karus (Statistics Estonia) PDF  
Smart Surveys: How to Implement Smart Data Collection in Official Statistics? - Jelmer de Groot (Statistics Netherlands) PDF  
A Fresh Start: Redesigning Our Field Operation – Including Roles, Contracts, and Casework Allocations – at the ONS - Dulcie Wyatt (ONS UK) PDF  
Applying Workforce Management Principles to Personal Interview Modes - Jack Mommers and Martijn van de Riet (Statistics Netherlands) PDF