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International Statistical Institute The International Statistical Institute is a non-profit non-governmental global organization.

Mastering Questionnaire Design: Practical Guidelines and New Research 📋 ✍️How do you turn research objectives into relia...
16/10/2026

Mastering Questionnaire Design: Practical Guidelines and New Research 📋 ✍️

How do you turn research objectives into reliable, unbiased survey data? And how are Large Language Models reshaping survey development today?

Jointly sponsored by the International Association of Survey Statisticians (IASS) and the Washington Statistical Society (WSS), this virtual workshop provides practical guidelines and research-based best practices for survey questionnaire design, testing, and evaluation.

Led by leading experts Dr. Anna-Carolina Haensch and Dr. Ting Yan, participants will explore:
- The Total Survey Error framework and the respondent cognitive process.
- Best practices for web, mobile, telephone, and mixed-mode surveys.
- Cross-cultural design and translation for multinational research.
- Responsible integration of AI and LLMs in questionnaire drafting and review (with hands-on critical evaluation).

👉 Format: 3 virtual 90-minute sessions
🗓️ Dates: 3, 5, and 10 November 2026 | 16:00 – 17:30 CET
💶 Registration: €90

Ideal for researchers, statisticians, and data professionals looking to elevate their survey instruments with proven methodologies and cutting-edge insights.

📲 Learn more and register: https://us06web.zoom.us/webinar/register/1817881750864/WN_Ht1Rv0R6TUuCrq26eQwvvw

🚀 Launching ISI Horizons — Episode 1: Statistics & Artificial Intelligence in Official Statistics📊 :🤖How can national st...
15/10/2026

🚀 Launching ISI Horizons — Episode 1: Statistics & Artificial Intelligence in Official Statistics📊 :🤖

How can national statistical offices harness AI and Machine Learning without sacrificing methodological rigor and public trust?
Don't miss the launch of ISI Horizons, our new video series delivering sharp views on critical questions across global statistical science.

Hosted by ISI President Fabrizio Ruggeri and IAOS Co-Chair Roeland Beerten, this live episode features key insights from top statistical leaders:
🗣 Osama Rahman (UK Office for National Statistics)
🗣 Francesca Kay (Ireland Central Statistical Office)
Swipe through the carousel to learn more! :arrow_right:

📅 Date: 27 October 2026
⏰ Time: 3PM CET (90min)
🔏 Reserve your spot: https://us06web.zoom.us/webinar/register/1917914523160/WN_Xnh-l6VVTZqevt7PnOZ9iA

✨ Exciting news! The invited paper sessions for the 66th ISI World Statistics Congress in Lusaka are now live. The progr...
13/10/2026

✨ Exciting news! The invited paper sessions for the 66th ISI World Statistics Congress in Lusaka are now live.

The programme spans a wide range of topics, from official statistics and AI to environmental, health, and survey methods, with contributions from across the global statistics community. Browse the sessions, find the ones that speak to your work, and plan your Congress experience.

Check out the full details: https://www.isi-next.org/proposals/51/

📢 Upcoming IASS Webinar | 20 October 2026🎓 Robust Imputation Procedures in the Presence of Influential Survey Data Based...
12/10/2026

📢 Upcoming IASS Webinar | 20 October 2026

🎓 Robust Imputation Procedures in the Presence of Influential Survey Data Based on Adaptive Tuning Constants

How can we handle missing survey data while reducing the impact of influential observations and improving the reliability of statistical estimates?

Join us for an insightful webinar with Dr. Sixia Chen, Associate Professor of Biostatistics at the University of Oklahoma Health Sciences Center, as he presents innovative approaches to robust imputation using adaptive tuning constants.

🔍 What will you learn?
📊 Why influential observations can affect the efficiency and reliability of survey estimates.
📈 The limitations of robust imputation methods based on fixed tuning constants.
🧮 How adaptive approaches can help balance bias and variance.
🔬 What simulation results reveal about the performance of these methods under symmetric and asymmetric outliers.

👨‍🏫 Meet the speaker: Dr. Sixia Chen

Dr. Chen is an elected Fellow of the American Statistical Association and an elected Member of the International Statistical Institute. His research focuses on survey sampling, data integration, missing data, and statistical methodology. He has published more than 130 peer-reviewed articles in leading biomedical and statistical journals.

📅 Date: 20 October 2026
🏛️ Organized by: IASS

📌 Whether you work in survey statistics, biostatistics, missing-data analysis, or statistical methodology, this webinar offers valuable insights into developing more reliable estimation procedures.

🔗 Registration and webinar details: https://us06web.zoom.us/webinar/register/8917899920926/WN_c3Gn78QBS3iYwU2XbzotBA

We look forward to welcoming you!

📣 The Evolution of Time-Use Surveys: From Measurement to Policy ImpactWhat do people's daily routines tell us about gend...
08/10/2026

📣 The Evolution of Time-Use Surveys: From Measurement to Policy Impact

What do people's daily routines tell us about gender inequality? Time-use surveys capture the full picture of work, care, and leisure - and they're becoming powerful tools for policy change.

Join us on 15 October at 14:00 CEST for an ISI Academy webinar with statistician Ramya Emandi (UN Women) and economist Jacques Charmes (IRD). They'll walk you through how these surveys illuminate unpaid care work and drive real policy shifts for gender equality.
The session will be moderated by Jessamyn Encarnacion, Director of the United Nations Statistical Institute for Asia and the Pacific.

Who should attend? Statisticians, researchers, policymakers, and anyone passionate about using data for social change.

Ready to learn more?

👉 Register here: https://us06web.zoom.us/webinar/register/3617900037638/WN_lFJsftufSwiA1z8_G9eEvQ

Every field has its founders, the ones who laid the groundwork so the rest of us could build on it. The ISI Founders of ...
24/09/2026

Every field has its founders, the ones who laid the groundwork so the rest of us could build on it. The ISI Founders of Statistics Prize honors exactly that. And you now have a little extra time to nominate someone whose contributions deserve recognition.

📣Now accepting nominations until 12 October 2026!

The ISI Founders of Statistics Prize for Contemporary Research Contributions, sponsored by Elsevier, honors research that has had a profound and lasting influence on statistical theory, methodology, practice, or applications.

Eligible contributions:
- A research article or book published within the last 30 years
Written in English
- A stand alone research contribution with demonstrated major impact

The winner receives a €5,000 cash prize, complimentary WSC registration, round trip airfare, and an invitation to present the Founders of Statistics Prize Lecture at the 66th ISI World Statistics Congress in Lusaka, Zambia.

👉 Nominate here: https://isi-web.org/founders-statistics-prize-submission-form

📣 New series alert: Committee Gets the Mic! We are putting the spotlight on the people behind ISI's committees, starting...
22/09/2026

📣 New series alert: Committee Gets the Mic!
We are putting the spotlight on the people behind ISI's committees, starting with the Committee on Women in Statistics.

Amanda Golbeck, Chair of the Committee, shares how the Committee and our network of 50+ Country Representatives are working together to build a more connected community for women statisticians worldwide. She also tells us why she is looking forward to the International Day of Women in Statistics and Data Science (IDWSDS) on 6 October, a free virtual event open to everyone.

Read the full article on our website: https://isi-web.org/article/committee-gets-mic-championing-gender-equity-global-statistics

Have you ever been part of a leadership book club, or would you start one?
Tell us in the comments! 👇

⚠ Tomorrow! IASS WebinarCan machine learning make survey estimates more efficient, without tying you to one specific alg...
16/09/2026

⚠ Tomorrow! IASS Webinar

Can machine learning make survey estimates more efficient, without tying you to one specific algorithm?

Prof. David Haziza (University of Ottawa) presents a new agnostic framework for model-assisted estimation, one that works across a broad range of machine learning methods using cross-fitting for solid, design-based inference.

📅 17 September 2026, 2:00 PM (Amsterdam time)

Register now: https://us06web.zoom.us/webinar/register/8517879106628/WN_LfhgF0--RxO8P6DNkdINnw #/registration

What's your go-to method when combining survey data with prediction models?

🔒15 years of legal battles. Unwavering integrity. Full exoneration.The Supreme Court of Greece has officially annulled t...
15/09/2026

🔒15 years of legal battles. Unwavering integrity. Full exoneration.
The Supreme Court of Greece has officially annulled the conviction of Andreas Georgiou, former President of the Hellenic Statistical Authority (ELSTAT).

In 2010, Georgiou did what every statistician is sworn to do: he reported the real fiscal deficits and debt of Greece, adhering strictly to the European Statistics Code of Practice. Because the truth was difficult to face, he endured 15 years of legal prosecutions for refusing to subject official data to a political vote.
Decision 922/2026 confirms Andreas Georgiou faithfully followed the law and upheld professional independence.

Why does this landmark ruling matter far beyond Greece?
In an era where public trust in data is continuously challenged, political interference in official statistics threatens the very foundation of evidence-informed policy.

The International Statistical Institute (ISI) is immensely relieved that justice has finally prevailed.

📖 Read the full official statement from the ISI Advisory Board on Ethics on our website: https://isi-web.org/statement/delayed-justice-andreas-georgiou-and-victory-statistical-ethics

🚨Tomorrow! ISBIS - India IG WebinarCan a model know when not to decide?In high-stakes fields like healthcare, finance, a...
15/09/2026

🚨Tomorrow! ISBIS - India IG Webinar

Can a model know when not to decide?

In high-stakes fields like healthcare, finance, and the judiciary, a wrong prediction can be costly. Reject option classification gives models the ability to abstain on uncertain cases and defer to a human expert instead of guessing.

Join Prof. Naresh Manwani (IIIT-Hyderabad) as he shares his research on this topic, including new approaches to fairness, robustness, and active learning.

📅16 September 2026, 4:00 PM CEST

Register now: https://us06web.zoom.us/webinar/register/3517881736286/WN_3k0yDfemRyWurxeAlMAmOA

Would you trust an AI more if it knew when to say "I'm not sure"?

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Henri Faasdreef 312
The Hague
2592JP

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