International Association for Official Statistics - IAOS

CALL FOR ABSTRACTS❗📢 Submit your abstract for the ‘Conference on New Techniques and Technologies for Statistics’ 📊 ⌛Deadline: 30 September 2024 The conference will take place on 11 - 13 March 2025 in Brussels. For more information ➡️ https://europa.eu/!t4khXh #NTTS2025 . . . #AskEurostat #statistics #Europe #EuropeanUnion #data

IASS Webinar 42 on 31 July, “𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗔𝗜 𝗳𝗼𝗿 𝗦𝘂𝗿𝘃𝗲𝘆 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵”, 2:00pm – 3:30 pm (CEST) by Frauke Kreuter, Ludwig-Maximilians-Universität München (Ludwig Maximilian University of Munich)(Germany) and University of Maryland (USA) Register: https://lnkd.in/ddjFyk8q 𝗪𝗲𝗯𝗶𝗻𝗮𝗿 𝗮𝗯𝘀𝘁𝗿𝗮𝗰𝘁 This presentation scrutinizes the transformative potential of Large Language Models (LLMs) in survey research, focusing on three critical areas: questionnaire design, synthetic data creation, and the role of LLMs as qualitative interviewers. In the domain of questionnaire design, the lecture delves into if and how LLMs can construct contextually accurate and highly effective survey items. However, there are valid concerns about the model’s understanding and potential biases, which we will critically evaluate. She also discusses LLMs’ ability to fabricate synthetic data, preserving core statistical properties whilst ensuring privacy. Here too, the ethical implications and the potential for misuse of this capability pose challenges that need to be addressed. Lastly, the lecture explores how LLMs, with their human-like conversational ability, can act as qualitative interviewers, allowing in-depth information gathering at scale. Yet, questions about their ability to fully capture the complexity and subtleties of human interaction and response also remain. The underlying theme of this talk is the question on how research in this space should be structured. 𝗕𝗶𝗼𝗴𝗿𝗮𝗽𝗵𝘆 Frauke Kreuter is a professor in the Joint Program in Survey Methodology (JPSM), Co-director of the Social Data Science Center (SoDa) at the University of Maryland, and chair of Statistics and Data Science at LMU Munich. Currently she serves as president of the American Association for Public Opinion Research. In addition to her academic work, Professor Kreuter is the Founder of the International Program for Survey and Data Science (IPSDS), developed in response to the increasing demand from researchers and practitioners for the appropriate methods and right tools to face a changing data environment, and Co-Founder of the Coleridge Initiative, whose goal is to accelerate data-driven research and policy around human beings and their interactions for program management, policy development, and scholarly purposes by enabling efficient, effective, and secure access to sensitive data about society and the economy. Joint Program in Survey Methodology (JPSM) Social Data Science Center International Statistical Institute - ISI #ArtificialIntelligence #AI #survey #statistics

The conference on New Techniques and Technologies for Statistics (#NTTS2025) will be held in Brussels, 11-13 March 2025. Deadline for abstract submission: 30 September 2024. NTTS is an international biennial scientific conference series, organized by Eurostat, on new techniques and methods for official statistics, and the impact of new technologies on statistical collection, production and dissemination systems. Topics include data collection and integration, innovation in statistics, Artificial Intelligence, data analytics, estimation and analysis, data reuse and sharing, outreach to users, communications and dissemination. NTTS 2025 is financed by the European Commission and there are no attendance fees. Check for updates https://lnkd.in/d9mCfCpF International Statistical Institute - ISI

Take a look at the incredible program of the Small Area Estimation Conference 2023-24, starting on Monday 3rd at Pontificia Universidad Católica del Perú And dont miss Carolina Franco's unique course on Small Area Estimation for LAC! 🤓 Thanks again to our sponsors NORC at the University of Chicago, International Association for Official Statistics - IAOS, International Association of Survey Statisticians - IASS, ECLAC, INEI- Instituto Nacional de Estadística e Informática, QLAB PUCP

📢 Extended CPS Deadline for the WSC 2025! We’ve extended the deadline to give everyone the opportunity to prepare and submit their abstracts for the Contributed Paper/Poster Sessions at the 65th World Statistics Congress. The new CPS deadline is 1 July 2024 The WSC will be held from 5 to 9 October 2025 in The Hague, The Netherlands. We invite statisticians, data scientists, researchers, and professionals to contribute by submitting abstracts on topics spanning the vast landscape of statistics. Share your expertise and be part of shaping the future of statistical sciences. 🔗 More information: https://lnkd.in/e8GB3S2Q #statistics #datascience #WSC2025 #callforpapers #statisticians #academicresearch #dataanalytics #isiwsc Xuming He Adrian Roellin Conchita Kleijweg Ksenija Dumicic Steve MacFeely Joost Huurman Peter Ellis Karin Orvis Prof. Dr. Georges-Simon Ulrich Prof. Dr. Diego Kuonen Maja Islam Eurostat Centraal Bureau voor de Statistiek Rajitha M. Silva Walter J. Radermacher Megan Murphy Royal Statistical Society Mohamed Al Marri ✪ Stefaan Verhulst, PhD Ada Van Krimpen João Pedro Azevedo Ron Wasserstein Silke Stapel-Weber A. John Bailer Olivier Maugain 莫利伟 Paulo Canas Rodrigues Nalini Ravishanker Mark Podolskij Marcelo Bourguignon Ksenija Dumicic Reinoud Stoel Berwin A Turlach Almut Veraart Elsa Dhuli Matilde Bini Ray-Bing Chen Mandy Hering Mara Sherlin Talento

📢 Introducing the June issue of the Statistical Journal of the IAOS! at: https://lnkd.in/dkcfX_9s Dive into this issue packed with insightful articles on current trends and future directions in official statistics. Highlights include: 1.     Editorial on the 55th session of the UN Statistical Commission with a focus on the discussions regarding the establishment of an Independent Advisory Board on the FPOS, and the need of protecting statistical systems from political interference. 2.     Interview with Stefan Schweinfest: An in-depth discussion on the evolving role of the UN Statistics Division, and the impact of SDGs on national statistical systems. 3.     Special Section: The Future of Agricultural Statistics: Featuring twelve free access papers on topics like modernizing agricultural statistics, machine learning in agricultural surveys, and remote sensing for crop mapping. 4.     Surveys in Times of COVID-19 and in Difficult Settings: Describing Statistics Netherlands adaptation to the pandemic by adopting mixed-mode data collection, and the performance of alternative sampling methods in difficult settings. 5.     Time Series Analysis: Five papers on innovative methodologies for economic research and forecasting, including outlier identification using support vector regressions and predicting macroeconomic indicators with online activity data. 6.     Discussion Platform: "Good Data are Used Data": Join us for our 20th discussion on the importance of data utilization, exploring ways to measure and enhance data use. #UNSC2024 #GlobalStatistics #SDGs #BigData #EnvironmentalAccounting #GenderStatistics #OfficialStatistics #DataScience #SustainableDevelopment

Call for applications for the 2025 Jan Tinbergen Award! 📣 The Jan Tinbergen Award is an opportunity for a young statistician to present his/her paper at the biennial World Statistics Congress 2025 in The Hague, the Netherlands! The award will consist of: ➡ A monetary award of €2,500 ➡ Round trip airfare to The Hague, the Netherlands ➡ Registration for 2025 ISI WSC ➡ An allowance covering maximum of five nights for reasonable accommodation. ➡ Visa cost   The competition is open to all young statisticians born in 1987 or later, regardless of their nationality. The theme for the 2025 edition of the Jan Tinbergen Award is 'Statistical Systems'. Submit now! https://lnkd.in/eH6GX9VE The award is named after the famous Dutch econometrician and Nobel Prize winner, and is sponsored by the Dutch International Statistical Study Fund Foundation. The aim of the Foundation is to offer assistance to developing countries in the field of statistics. Check out the website: www.sissf.nl International Statistical Institute - ISI International Association of Survey Statisticians - IASS ISBIS • International Society for Business and Industrial Statistics Oliver Chinganya Kerrie Mengersen Denise Britz do N. Silva Conchita Kleijweg International Association for Statistical Computing Olivia van Dijck-Timbol

IASS Webinar 41 on 26 June, “Comparing Data Quality and Sources of Error in Probability-based Online Panels and Online Opt-in Samples”, 2:00pm – 3:30 pm (CEST) by Andrew Mercer, Pew Research Center. Register: https://lnkd.in/e5nzvp_2 𝗪𝗲𝗯𝗶𝗻𝗮𝗿 𝗮𝗯𝘀𝘁𝗿𝗮𝗰𝘁 Over the past decade, online surveys, both those recruited using traditional probability-based methods and those drawn from online, opt-in sources, have grown to become the most common means of conducting public opinion research in the United States. During this same period, the Pew Research Center has conducted several studies examining data quality and sources of error in online, probability-based and opt-in samples. In this webinar, Andrew Mercer will review the findings from this line of research and discuss the Center’s most recent such study comparing the accuracy of six online surveys of U.S. adults – three from probability-based panels and three from opt-in sources. This is the first such study to include samples from multiple probability-based panels, allowing for their side-by-side comparison. The study was also designed to permit an in-depth comparison of accuracy not only for full-sample estimates, but also for estimates within key demographic subgroups. Consistent with previous studies, it found that probability-based samples generally yielded more accurate estimates. While previous studies have tended to assume that differences between probability-based and opt-in samples are due to differences in the selection mechanism, the findings from this study suggest that in fact, many of the large biases found in online-opt in samples are instead due to measurement error stemming from the presence of “bogus respondents” who make no effort to answer questions truthfully. Critically, the study finds that errors from bogus respondents are especially large for subgroup estimates, particularly 18-29-year-olds and Hispanic adults. 𝗕𝗶𝗼𝗴𝗿𝗮𝗽𝗵𝘆 Andrew Mercer is a senior research methodologist at Pew Research Center. He is an expert on probability-based online panels, nonprobability survey methods, survey nonresponse and statistical analysis. His research focuses on methods of identifying and correcting bias in survey samples. He leads the Center’s research on nonprobability samples and co-authored several reports and publications on the subject. He also served on the American Association for Public Opinion Research’s task force on Data Quality Metrics for Online Samples. He has authored blog posts and analyses making methodological concepts such as margin of error and oversampling accessible to a general audience. Prior to joining the Center, Mercer was a senior survey methodologist at Westat. He received master’s and doctoral degrees in survey methodology from the University of Maryland. His research has been published in POQ and JSSM. International Statistical Institute - ISI #survey #nonprobability #onlinepanel