The Scientific Programme features over 250 IPS and CPS sessions with leading speakers discussing the latest developments in statistics and data science. To give you a clearer picture of what the IPS and CPS sessions cover, we have grouped all of them into thematic collections.
Click on a collection below to explore all related sessions.
How is official statistics adapting to the relentless pace of digitalization and the explosion of new data? This collection of sessions explores the transformation of National Statistical Institutes as they embrace the digital age. Discover advancements in integrating diverse data sources – from citizen-generated and mobile phone data to web-scraped and satellite information – to create richer, more timely statistics. Sessions examine the practical implementation and future potential of AI and machine learning in statistical production, strategies for accessing and utilizing privately held datasets ethically, the development of standards for streamlining processes, innovations in product development driven by evolving user needs, and the application of network science. Join discussions on the challenges and opportunities facing statistical systems worldwide as they modernize.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
What are the latest developments at the frontiers of statistical theory and foundational methods that underpin modern data analysis? This area covers cutting-edge advancements in core statistical theory and methodology. Explore progress in resampling methods for dependent data, optimal experimental design techniques, and the theoretical foundations of causal inference, including handling selection bias. Discover new developments in Bayesian inference, such as methods for inverse problems and measures of evidence, along with theory for privacy-preserving statistics and statistical learning for preference data. Sessions also investigate probability models, Stein’s method, mixture models, high-dimensional statistics, extreme value theory, random matrix theory, and inference for stochastic processes.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
How can statistical insights be harnessed to understand and address pressing social issues, promote equity, and advance sustainable development goals? Apply statistical methods to tackle significant societal challenges in these sessions. Explore methodologies for measuring sensitive issues like violence against women and corruption, alongside innovations in social statistics for assessing well-being. Engage with analyses of poverty, inequality, and food security. Discover approaches promoting equity through the inclusion of Indigenous peoples and other vulnerable groups in statistical systems. Sessions address statistical literacy as a key factor for development, the use of data science for gender equality, leveraging diverse data sources to monitor the SDGs, and understanding the statistical impacts of conflict.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
How are Artificial Intelligence, Machine Learning, and Data Science transforming statistical practice, and what are the latest methodological innovations? This collection of sessions explores the cutting edge where statistics meets AI and data science. Investigate foundational methods, algorithmic advancements including Reinforcement Learning and mixture models, and the crucial aspects of model explainability, interpretability, and bias. Discover techniques tailored for high-dimensional data analysis, applications in time series and network modeling, and computationally intensive methods for handling massive datasets. Sessions cover emerging trends like digital twins, symbolic data analysis, the impact of large language models, and the vital integration of these powerful tools across various statistical domains.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
How can statisticians effectively analyze the increasingly complex and high-dimensional datasets emerging from science, technology, and society? Tackle the challenges of modern data structures with advanced statistical methods discussed in these sessions. Explore recent progress in statistical network analysis, functional data analysis with applications ranging from wearable sensors to brain imaging, and techniques for object data such as geometric shapes, directions, or rankings. Discover methods designed for high-dimensional data, including feature extraction and dimension reduction, as well as approaches tailored for censored, skewed, or symbolic data. Sessions cover advances in multivariate analysis and spatial/spatio-temporal statistics, including uncertainty quantification, equipping you with tools for complex data landscapes.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
How are statistical advancements enabling breakthroughs in understanding disease, improving treatments, and personalizing healthcare? Discover statistical innovations driving progress in health and medicine within these sessions. Explore the growing role of AI and machine learning in medical decision-making and analysis. Engage with methods designed for complex health data, including neuroimaging, microbiome, longitudinal, and survival data. Learn about novel approaches for biomarker discovery, disease screening, and precision medicine. Sessions cover advanced techniques for handling missing data in electronic health records, robust causal inference methodologies for health research, innovations in disease mapping, and specific applications addressing diverse health challenges.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
How are statistical methods adapting to measure and model the complexities of modern economies, financial markets, and business operations? Engage with diverse statistical applications in the business, finance, and economic spheres through these sessions. Explore the rise of financial data science, including opportunities and risks presented by AI. Examine advanced techniques for modeling economic and financial time series, measuring productivity, and understanding the impacts of globalisation and digitalisation on markets. Discover innovations in central banking statistics, methods for closing data gaps in areas like commercial real estate, analysis of trade data asymmetries, and the implementation of updated economic accounting frameworks. Sessions also cover causal inference in tech, the concept of Industry 5.0, and machine learning applications in finance.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
In an era of data abundance and potential misinformation, how do we ensure official statistics remain trustworthy, relevant, and valued? These sessions address the foundations of reliable statistical systems. Learn about methods for understanding and quantifying the societal value of statistics, insights gained from system reviews and quality assessments across different countries, and the critical importance of upholding ethical principles, including those related to Indigenous data sovereignty. Explore strategies for enhancing transparency and scientific integrity, balancing privacy protection with improved data access for research, engaging users effectively, and reinforcing the indispensable link between high-quality official statistics and democratic governance.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
How are traditional survey methods evolving to meet contemporary challenges like falling response rates and the rise of alternative data sources? Engage with innovations in survey statistics designed for a changing world. Explore techniques for integrating administrative records, mobile phone data, and geospatial information to enrich survey results and enhance quality. Discover advances in adaptive survey design aimed at reducing bias and managing costs, methods for nonresponse adjustments, and strategies for combining probability with non-probability samples. Learn about cutting-edge approaches in small area estimation, the potential of ‘smart survey’ technologies using mobile devices, and the role of record linkage and auxiliary data in improving overall data quality.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
In a world awash with data, how can we equip citizens, students, and policymakers with the skills to understand and use statistics effectively? This area focuses on enhancing statistical education and data literacy globally. Discover innovative teaching methods, including project-based learning and gamification, aimed at making statistics engaging and accessible. Explore best practices for promoting statistical literacy among diverse audiences and strategies for bridging the gap between data producers and policy communities. Sessions address capacity gaps, particularly in developing countries, the use of modern electronic assessment and computing tools, the integration of data science and AI concepts into education from school to university level, and the ongoing adaptation of teaching to the changing technological landscape.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
How do we model and predict phenomena that evolve randomly over time, from financial markets to environmental changes? This theme explores the theory and application of statistical methods for stochastic processes and time series analysis. Investigate modeling economic and financial time series, new developments in seasonal adjustment, and the integration of machine learning techniques. Discover methods for analyzing network stochastic processes, performing inference for diffusion, jump, and fractional processes (including SDEs and SPDEs), and handling extremes in high-dimensional and heterogeneous time-dependent data. Sessions cover bootstrap techniques for dependent data and diverse applications across finance, environment, neuroscience, and ecology.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
As data becomes more pervasive and powerful, how do we navigate the complex ethical considerations surrounding its collection, use, and governance? These sessions tackle the critical ethical dimensions of statistical practice and data stewardship. Engage with discussions on ethical principles for the profession and challenges faced globally. Explore the latest advancements in privacy-preserving methods like differential privacy and Privacy-Enhancing Technologies (PETs). Examine data governance frameworks for modern data ecosystems, strategies for enhancing transparency and scientific integrity, and the crucial balance between enabling data access for research and policy while rigorously protecting individual privacy and confidentiality.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
How can statistics help us understand, monitor, and mitigate pressing environmental challenges like climate change and resource depletion? This collection of sessions covers the application of statistical methods to critical environmental issues. Explore novel approaches for modeling natural hazards, monitoring water resilience, and assessing ecosystem services. Discover methods for measuring carbon footprints, the impact of subsidies on the environment, and the links between environmental factors and health. Sessions look into sustainable agriculture metrics, tackling food loss and waste, applying advanced spatial and temporal analysis to environmental datasets, quantifying uncertainty in complex environmental models, and utilizing statistical tools for conservation efforts.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
How can statistical methods provide the evidence needed to build more sustainable, productive, and equitable agriculture and food systems? Engage with statistical applications addressing critical challenges from farm to table in these sessions. Explore the use of data science for monitoring food security and safety, and methods for measuring agricultural productivity while accounting for sustainability. Discover innovations in agricultural statistics, including digitalization through remote sensing and AI, and advanced survey methodologies. Sessions cover techniques for tackling food loss and waste, analyzing crop production and yields, evaluating agricultural policies, and modeling food insecurity, providing insights for evidence-based decision-making in this vital sector.
★ Invited Paper Sessions (IPS):
★ Contributed Paper Sessions (CPS):
Beyond correlation, how can statistical methods help us rigorously determine cause-and-effect relationships in complex real-world settings? Examine cutting-edge methods for establishing causal links from observational and experimental data in these sessions. Explore techniques designed to address challenges such as selection bias, confounding variables, complex or time-varying treatments, and missing data, particularly in health research. Discover applications of causal inference in diverse areas, including the tech industry’s use of online experiments, impact evaluation for social programs and policies, and innovative research designs leveraging administrative data to study real-world interventions.
★ Invited Paper Sessions (IPS):
How can we statistically model and understand the complex web of connections that define systems in science, technology, and society? This collection of sessions explores the theory and application of statistical methods designed specifically for network data. Discover recent advances in modeling network structures, clustering nodes, and performing inference on network properties. Engage with the intersection of machine learning and high-dimensional network analysis. Learn about methods for analyzing large-scale networks and network dynamics, including network-based time series and stochastic processes. Sessions also cover the application of network science within official statistics to gain deeper insights into societal structures.
★ Invited Paper Sessions (IPS):
For more details on registrations and submissions for the 65th ISI World Statistics Congress, please first login to your account. If you do not have an account then you can create one below:
We have placed cookies on your device to help make this website better.
You can change your cookie settings in your web browser. Otherwise, we’ll assume you’re OK to continue.
Some of the cookies we use are essential for the site to work.
We also use some non-essential cookies to collect information for making reports and to help us improve the site. The cookies collect information in an anonymous form.
To control third party cookies, you can also adjust your browser settings.
Do Not Accept Third Party Cookies