Date: Friday, 5 June 2026
Time: 10:00–11:00 CEST (11:00–12:00 EEST)
Organiser: data.europa academy

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We invite our members and all data enthusiasts to register for the upcoming webinar hosted by the data.europa academy — your knowledge hub for open data.

About the Webinar

As part of the webinar series Open Data, Academia, and Ethics, this session explores how emerging technologies are reshaping research practices, scientific integrity, and public trust.

In this second episode, the focus turns to the responsible use of AI-generated and synthetic data in research. While these data sources create new opportunities for innovation, they also raise important questions around reliability, bias, transparency, and ethical use.

Speakers

Thomas Lampert — Professor and former Chair of Artificial Intelligence and Data Science, University of Strasbourg
Thomas will introduce synthetic and AI-generated data from a technical and analytical perspective, explaining how these forms of data are created and used in practice. Drawing on examples from medical imaging and remote sensing, he will highlight both the opportunities and the challenges these technologies present for research and decision-making.

Ella Hafermalz — Associate Professor of Work and Technology, KIN, Vrije Universiteit Amsterdam
Ella will examine how researchers and institutions can distinguish between real and synthetic data, and how responsible practices can help prevent misuse while supporting transparency and trust in research.

The webinar will conclude with an interactive Q&A session, offering participants the opportunity to engage directly with both speakers.

Practical Information

• After registering, you will receive an email with a calendar invite and webinar link.
• This webinar is part of the Measuring the Impact of Open Data course offered by the data.europa academy.
• The session will be recorded and made available for future access.
• The webinar is open to everyone passionate about data — feel free to share it with your network.

→ Register Now

Your knowledge hub for open data

Webinar: "Reusing energy data: working towards a smarter and greener Europe"

Dear open data enthusiast,

Register now for our upcoming webinar!

What?

• Understand how energy data supports a more sustainable and resilient European energy system
• Learn how the European Commission promotes energy data exchange
• Explore an innovative use case from the COSMIC energy project

When?

• Friday, 22 May 2026
• 10:00 to 11:00 CEST

Register

Programme

How can secondary use of energy data help address challenges facing the European energy ecosystem? In view of the energy crisis and the EU’s Green Deal commitments, Europe’s energy infrastructure needs to become smarter and more sustainable. This webinar explores the importance of the reuse of energy data in this context and how it can promote resource efficiency and a better integration of renewable energy into the grid.

The session will open with a policy perspective on energy data reuse for grid resilience, presented by Andries de Brouwer, Policy Officer at DG ENER. He will explain how sharing data across sectors can advance Europe’s energy and climate objectives. To provide a practical use case, Adrián Carrasco Revilla, Lead data scientist at Inetum, will showcase the European energy project COSMIC. His presentation will highlight how COSMIC employs data- and AI-enabled tools in pilots across Europe to optimise energy use and resource management. The webinar will conclude with an interactive Q&A, giving participants the opportunity to engage directly with the speakers.

After registering, you will receive a confirmation email with a calendar invite and webinar link. This session is part of the "Measuring the impact of open data" course by the data.europa academy and will be recorded for future access.

This webinar is open to everyone passionate about data – feel free to share it with your network!

The 9th Conference on Survey Sampling in Economic and Social Research will be held online on December 3-4, 2024. This event is organized by the Department of Statistics, Econometrics, and Mathematics at the University of Economics in Katowice.

For more details, please visit the conference website: https://web.ue.katowice.pl/metoda/

This online conference is free of charge, but registration is required. We encourage you to share this announcement with your colleagues and coworkers to help spread the word about this exciting opportunity.

We welcome you to the

11th Tartu Conference on Multivariate Statistics

June 25-28 2024, Tartu, Estonia

Dedicated to the memory of C.R. Rao

More info and registration/abstract submission: https://tartumvs2024.ut.ee/

Abstract submission deadline: March 15th, 2024

Conference subject areas include various theoretical and applied topics related to multivariate statistics in general (multivariate inference, multivariate models, multivariate distributions and copulas, statistical learning ang methodology for high-dimensional data, robust statistics, etc. – see the full list on the webpage).

Confirmed keynote speakers:

• Narayanaswamy Balakrishnan (McMaster University, Ontario, Canada)
• Christian Genest and Johanna G. Nešlehová (Mc Gill University, Canada)
• Rao lecture: Simo Puntanen (University of Tampere, Finland)

Confirmed invited speakers

• Adelchi Azzalini, University of Padova, Italy
• Katarzyna Filipiak, Poznań University of Technology, Poland
• Thomas Mikosch, University of Copenhagen, Denmark
• Solomon W. Harrar, University of Kentucky, USA
• Peter Song, University of Michigan, USA
• Éric Marchand, Université de Sherbrooke, Canada
• Wen Zhou, Colorado State University, USA

The 11th Tartu Conference on Multivariate Statistics aims to bring together statisticians working on various classical or modern fields of multivariate statistics in the broad sense.

The conference is hosted by the Institute of Mathematics and Statistics, University of Tartu, Estonia. Tartu University is among the oldest universities in the Nordic-Baltic area, holding the position as the Estonia’s leading centre of research and training for already more than 350 years. The tradition of Tartu multivariate statistics conferences dates back to 1977, becoming truly international since 1994, where C.R.Rao was one of the keynote speakers.

The conference will take place in the Delta Centre of the University of Tartu. This is the newest building of the University of Tartu, with modern facilities and beautiful views over the river Emajõgi and Tartu old town. July is a beautiful month for visiting Tartu and Estonia, especially as in 2024 Tartu was elected as the European Capital of Culture.

On behalf of the organizing committees,
Krista Fischer
Professor of mathematical statistics, University of Tartu

Join the International Association of Survey Statisticians (IASS). The IASS activities include:

• The Survey Statistician, our IASS newsletter, issued twice a year, including country reports, new and emerging methods, ask the experts, book reviews and upcoming journal articles and conferences.
• A program of short courses prior to each ISI World Statistics Congress as well as a program of invited paper sessions.
• Sponsorship for relevant international conferences on survey statistics and survey methodology.
• A website giving access to past material and up to date information through our monthly newsletters: http://isi-iass.org/home/services/newsletters/
• The monthly IASS Webinar Series showcasing distinguished speakers on the theory and practice of surveys and censuses: http://isi-iass.org/home/events/
• The Cochran-Hansen Prize, awarded every two years for the best paper on survey research methods submitted by a young statistician from a developing country.
• The Hukum Chandra Memorial prize, awarded every year to a mid-career researcher who has made an important contribution in survey research

Our website is: http://isi-iass.org/home
LinkedIn: https://www.linkedin.com/company/international-association-of-survey-statisticians-iass
Facebook https://www.facebook.com/iass.isi
Twitter @iass_isi https://twitter.com/iass_isi

In its annual meeting on 16 March 2022, Latvian Statisticians’ Association condemned in the strongest possible terms the full-scale invasion and the military aggression of the Russian Federation against Ukraine and its sovereignty and independence. Equally we strongly condemn the involvement of Belarus in supporting this aggression.

Latvian Statisticians’ Association stands for internationally endorsed democratic values. We express our solidarity and support to all people of Ukraine. We call for the international community of statisticians, including statisticians from the Russian Federation and Belarus to take a strong stance for peace and to take immediate action on removal ties with the aggressor and its allies. We call for the international statistical community to raise this issue in every international forum.

Ukraine is fighting for all types of freedom, including freedom of speech, academic freedom, and the freedom of research. These are very important fundamental elements of democratic societies. We hope that actions of the international community of statisticians will ensure a prompt and strong response to Russia’s current aggressive policy. Let’s protect freedom!

We are glad to announce the first call for abstracts of the Conference of European Statistics Stakeholders (CESS) 2022, which will be held at the Department of Statistical Sciences of the University of Rome "La Sapienza" (Italy) on October 20-21, 2022.

The scope of the Conference is to enhance the dialogue between European methodologists, producers, and users of European Statistics.

The Conference will be in-presence, but we will allow at-distance attendance (preferably not for the speakers).

No registration fee will be required, but registration is mandatory for all participants (limited attendance – first come, first served and preference for speakers).

To present a paper at CESS, you need to submit an abstract after creating an account on Indico. The abstract must be up to 1 page long, and the author must select at least one of the thematic areas of the Conference (see the end of this message). The deadline for the abstract submission is April 30, 2022.

All CESS 2022 participants will also have the opportunity to submit their full paper for publication in:

1. Springer-Nature Series Studies in Theoretical and Applied Statistics. It will contain selected papers of methodological and applied interest from the CESS 2022 conference.
2. ECB Statistics Paper Series. It will contain selected papers of interest to central banks from the CESS 2022 conference.
3. Springer Special Issue of the International Journal ADAC. It will contain selected papers on new methodologies interconnecting Statistical Learning, Data Science, and Artificial Intelligence for high-quality and timely statistics.

The deadline for full paper submissions is November 15, 2022. Further details on the modalities of the paper submission will follow soon here.

The preliminary program will be announced by June 30, 2022. The final schedule will be notified by October 1, 2022. For further information and updates, please visit the conference website https://cess2022.dss.uniroma1.it/event/3/ or contact cess2022.dss@uniroma1.it.

We look forward to welcoming you to CESS2022 in Rome!

IMPORTANT DATES:

REGISTRATION

• April 30, 2022: early registration deadline
• June 15, 2022: standard registration deadline
• October 1, 2022: late registration deadline

SUBMISSION OF ABSTRACT

• April 30, 2022: deadline submission of single abstracts
• May 31, 2022: notification to Authors

THEMATIC AREAS (preferred but not limited to):

• Environmental, Economic and Social Statistics:
  • Green deal and environmental statistics
  • Migration and Demography in Europe
  • Statistics for enhanced Economic governance and fast recovering
  • Poverty and Social Exclusion: Measuring Employment and Social Developments
  • Measuring the Sustainable Development of Europe
  • Measuring Inequality, Poverty and Social Problems
  • Statistics on FinTechs and innovative activities in the financial sector
  • Statistics on crypto assets, crypto markets and crypto ecosystems
  • Distributional national and financial accounts
  • Measuring digitalisation and intangible capital
  • Measuring globalisation: cross-border activities of multinational enterprises, global value chains, foreign assets
• New Statistical Methodologies
  • Improving Timeliness and Modernisation of Statistical Production Processes
  • Artificial Intelligence and Data Science for official statistics
  • Non-traditional (big) data sources: methods, tools, quality
  • Georeferenced Data and Spatial Statistics Methods for Official Statistics
  • Graphical and Network Models and Analysis for Official Statistics
  • Machine Learning, Clustering and other innovative methods of analysis for decision making
  • Experimental Statistics
  • Text mining and Natural language Processing
  • Improving Statistical Literacy
  • Data science skills for the next generation of Statisticians
• European Data Ecosystem: Data access, use, detection, governance and communication
  • Data Protection and Confidentiality
  • Evolving European legislation and reuse of new data sources for future statistics
  • Data quality management and efficient user feedback loops.
  • A Common European Data Ecosystem for the Statistical Information in the digital age
  • New Principles and Models of data governance for the European Data Ecosystem
  • Strategies of Communication for European Statistics in the digital age

(photo from q2022.stat.gov.lt)

Statistics Lithuania and Eurostat are pleased to announce that call for abstracts is now open for the 10th European Conference on Quality in Official Statistics (Q2022). The Q2022 Conference will be held in Vilnius, Lithuania between 8 and 10 June 2022 to discuss issues critical to the quality of official statistics. The Q2022 Conference will commence with four tailored training courses on 7 June 2022.

The Conference aims at discussions on statistical methodology and quality-related issues that nowadays are extremely important for both the development of the European Statistical System and the international statistical community. As a forum open for debate, it represents an opportunity to introduce innovation in many aspects related to quality of statistics, especially in times of crisis.

The value of the Conference will be exercised through your contributions to the Conference. Therefore, the call for abstracts is open. We very much encourage you to spread the message among your colleagues and take this opportunity to be heard in the dialogue on quality management and trends, and present experiences and ideas at this special event. Please note, the deadline for submission of abstracts is 15 December 2021.

We are looking forward to enriching the debates and receiving Your abstracts for the Q2022 Conference!

For more information on topics, training and submission of abstracts visit the Conference website: q2022.stat.gov.lt.

The Q2022 Organising Committee

The Summer School on Survey Statistics 2021 is fully virtual and offers educational sessions in English on Friday 3, 10, 17 and 24 September at 15-18 and sessions in Russian on Saturday 4, 11, 18 and 25 September (exact times TBA). Detailed information can be accessed at: https://wiki.helsinki.fi/display/BNU/Summer+School+on+Survey+Statistics+2021

The summer school is free of participation fee and is open for anyone interested. Registration required. Information on registration and contributed paper submission can be found on the event web site.

The main aim of the summer school is to promote scientific and educational cooperation in survey and official statistics between statisticians interested in new trends in the area.

Educational sessions include keynote lectures, invited lectures and contributed papers. Main topics are Data integration, Machine Learning and Small area estimation. Topics related to survey and official statistics are welcome in contributed papers.

The summer school is organized by the Baltic-Nordic-Ukrainian (BNU) Network on Survey Statistics. Today, the network involves partners from eight countries: Belarus, Estonia, Finland, Latvia, Lithuania, Poland, Sweden and Ukraine.

The Summer School on Survey Statistics 2021 is the 24th of the scientific or educational events organized by the network since 1997. The event is sponsored by the International Association of Survey Statisticians (IASS).

More information of the network activities can be found at https://wiki.helsinki.fi/display/BNU/Home