NTTS 2027

The New Techniques and Technologies for Statistics (NTTS) conference is an international scientific event held every two years and organized by Eurostat. It focuses on innovative methods and technologies for official statistics, exploring how emerging tools and digital advancements shape data collection, production, and dissemination systems.

The conference serves as a platform for presenting findings from ongoing research and innovation projects in official statistics, while also fostering the development of new initiatives aimed at improving the quality, efficiency, and relevance of statistical information.

The NTTS conference series was initially triennial, and with the conference taking place in 1992 (Bonn), 1995 (Bonn), 1998 (Sorrento) and 2001 (Hersonissos, Crete). After a break of 8 years, the conference was re-launched on a biannual basis, and took place in Brussels in  2009, 2011, 2013, 2015  2017 and 2019. NTTS 2021 was fully virtual, whereas NTTS 2023 and NTTS 2025 took place in Brussels. 

NTTS 2027 will be hosted again in Brussels in the Charlemagne Building.

Key dates are still in progress:

Call for abstracts will open on 1 June 2026

Deadline for submission of abstracts: 15 October 2026

 Notification of acceptance: 16 November 2026 

Deadline for registrations: 15 February 2027 

Alvaro Diez is Head of Unit at Eurostat, the statistical office of the European Union, where he oversees the unit in charge of innovation and digital transformation. With a background in computer engineering, he previously held various leadership roles in Eurostat’s unit dedicated to digitalisation and science and technology statistics and before that on the IT units dedicated to statistical production. Prior to joining the European Commission in 2011, he worked for several years in the private IT sector.

Daniela Andrén is an Associate Professor of Economics at Örebro University School of Business, Sweden, with a PhD in Economics from Göteborg University, Sweden, and a Master's degree in economic cybernetics from the Academy of Economic Studies, Bucharest, Romania. Her research is characterized by a strong interest in exploring new data sources and developing innovative methods to strengthen research designs for effect estimation. She has over 25 years of experience working with Swedish administrative register data, with a focus on estimating the effects of public policy. Her research on individual well-being has used biomarkers, and she has pioneered the use of well-being valuation approaches to assess the impact of health conditions on individuals and their networks of family and friends in Sweden. She has published in peer-reviewed international journals on economics, health and social sciences, with particular emphasis on methodological approaches to evaluating public interventions. She teaches causal inference for economists and normative ethics in informatics, with a focus on the ethical dimensions of algorithms, information systems, and cybersecurity.

Mojca Bavdaž (University of Ljubljana)

Mojca Bavdaž is Associate Professor at the School of Economics and Business, University of Ljubljana. She is a member of the Methodological and Statistical Councils at the Slovenian National Statistical Institute and a former member of the EMOS Board. Her main research areas include measurement in economics and related data collection. She is also interested in dissemination, visualization and use of official statistics data.

Annamaria Bianchi (University of Bergamo)

Annamaria Bianchi is Associate Professor in Economic Statistics at the University of Bergamo. She completed her double PhD in Mathematics and Statistics for Computational Sciences at the University of Milan and in Sciences Mathématiques at the University Paris 6 in 2007. She is a survey statistician with interests in non-probabilistic methods for data collection and inference, the use of digital trace data to enhance survey research, adaptive survey designs, representativity indicators, and online panels and web surveys. From 2023 till 2025 she has been member of the Executive Committee of the International Association of Survey Statisticians (IASS) of the International Statistical Institute (ISI) and since 2024 she is Elected Member of the ISI. Since 2024 she is member of the Board of the European Master in Official Statistics (EMOS).

Ana-Maria Ciuhu (Romanian National Institute of Statistics)
She is a statistician at the Romanian National Institute of Statistics and a senior researcher at the Institute of National Economy of the Romanian Academy. She is working on survey methodology and on integrating open-source tools—particularly R—into statistical production. She has been involved in methodological and applied studies that successfully introduced the use of R within Romanian official statistics. She continues to apply R extensively in her research and in methodological processes such as sampling, calibration, imputation, and the development of modern workflows that promote the adoption of open-source solutions in official statistics. 

Florian Dumpert heads a unit in the Federal Statistical Office of Germany (Destatis) that develops methodological and technological solutions and architectures for statistical production. The unit works on topics related to metadata, quality, digitisation, standardisation and automation of official statistics. His research interests include in particular machine learning, statistical data processing and imputation.

Anita Harmina is a Senior Adviser in the Statistics Area of the Croatian National Bank, where she leads the development and dissemination of experimental statistics on climate change-related risks, household wealth, and distributional inequalities. In this role, she also contributes to several expert groups within the ESCB and the OECD, supporting international efforts to advance statistical development and close data gaps. Her interests include innovative approaches to official and experimental statistics, the integration of survey, administrative and new data sources, composite indicator methodology and multidimensional measurement, and applied econometrics. She is an elected member of the ISI and a member of the IAOS and IASS.

Francesca Kay (NSO, Ireland)

Francesca joined the Office for National Statistics (ONS) in 2011, where she was the Director of both the Economics Statistics and Census and Data Collection Transformation programmes and was appointed as interim Director General for Data Capability at the ONS in 2019, covering technology, data, methodology and data science. Francesca moved to the Central Statistics Office in Ireland in 2020, where her current role is Chief Information Office with responsibility for technology, methodology, data science as well as population and vital statistics. She is also leading a EU consortium for the creation of a One-Stop-Shop for AI/ML in Official Statistics.

Svilen Kolev, PhD, is a Deputy President of the National Statistical Institute of Republic of Bulgaria, responsible for the Macroeconomic Statistics. He took the role in July 2022 after longstanding career in the banking sector. His research interests are in the field of Monetary theory and monetary policy, Unconventional monetary policy, Central banking, Capital markets, Bank management, Macroeconomics, Statistics, Econometrics, International financial organisations.

Alexander Kowarik (Statistics Austria)

Dr Alexander Kowarik is head of the methods unit at Statistics Austria with more than 15 years of experience working at an NSI. He is an active contributor to the R open-source community with a focus on official statistics application and participating in several international projects related to the usage of new data sources for the production of official statistics.

Christophe Ley (University of Luxembourg)

He is Professor of Applied Statistics at the University of Luxembourg and co-founder of GrewIA, a company offering comprehensive tailor-made training and innovative consulting solutions in Artificial Intelligence and Data Science. He is also the Chair of Applied Statistics in Actuarial Sciences at the University of Luxembourg and Editor-in-Chief of the Journal of Sports Analytics. Among his main achievements are the Bernoulli Prize in 2024, a Teaching Award at the University of Luxembourg in 2024, and the 2014 Marie-Jeanne Laurent-Duhamel Prize for the best PhD thesis in statistics among all french-speaking universities worldwide over a period of three years.

Michael Reusens is the head of the Data Science Center at the National Bank of Belgium.  He  holds a Masters degree in Computer Science Engineering and a PhD in Business Economics from KU Leuven, Belgium. Michael has over 10 years of experience in the domain of data science and artificial intelligence. Michael has worked as a researcher, hands-on data scientist and now as data science lead focusing on public sector organizations

Serena Signorelli works as project officer at the Joint Research Centre (JRC) of the European Commission, specializing in the analysis of digital and industrial ecosystems, strategic technologies, and their economic impacts. Her previous roles focused on the topic of data governance and on the use of big data for official statistics. 

 

Anna Smyk (INSEE)

Time series methodologist at Insee (French INS).

Working on Seasonal Adjustment tools and methods, and mainly on JDemetra+ software, providing methodological support and training on seasonal adjustment and assistance in building production processes of seasonally adjusted data. Currently, in charge of the production of JDemetra+ v3.x online user documentation.

Mark Van der Loo (Eurostat, University of Leiden) 

Dr Mark van der Loo is a Statistical Officer working in the area of data, metadata and classifications and a research fellow at the Leiden Institute for Advanced Computer Science. Before taking his post at Eurostat Mark worked as Senior methodologist at Statistics Netherlands (CBS). His research interests cover a broad range of topics in the areas of methodology and statistical computing.