66th ISI World Statistics Congress

A Bayesian Dose Optimization design for Multi-regional clinical trials using longitudinal Tumor Growth to guide information borrowing

Format: WSC 2027: IPS Abstract

A Bayesian machine learning approach for causal inference with time-varying confounding and survival outcomes

Format: WSC 2027: IPS Abstract

A Fairness Threshold Is Not a Portable Standard: A Statistical Protocol for Auditing Algorithmic Decisions about People in Places

Format: WSC 2027: IPS Abstract

A Partial Fay--Herriot Model for Small Area Estimation: Estimating District-Level Consumption in Mozambique

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A PhD training programme in South Africa

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A Practitioner's (Young African Statisticians Association) Role in the Shift From Youth Empowerment to Youth Workforce Policy

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A Pseudo-Value Approach to Causal Deep Learning of Semi-Competing Risks

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A causal learning framework with potential implications for treatment stratification and precision medicine for lung cancer care for Indian patients

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A class of shrinkage type estimators in high dimensional data

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Co-author:

• Arash A. Foroushani

A few proofs of concept on the use of AI in communication and dissemination tested at INSEE (France)

Format: WSC 2027: IPS Abstract

A flexible Bayesian approach to model multivariate longitudinal outcomes with application to ALL clinical trials

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A multivariate approach to measuring social exclusion in residential areas in Sweden

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A projected normal copula model for hypertoroidal data

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Co-author:

• Gianluca Mastrantonio
• Masayuki Ishikawa

A spatio-temporal K-function for point processes near spatial linear networks

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Co-author:

• Inger Fabris-Rotelli
• René Stander
• Gregory D. Breetzke

A state space approach to parametric and nonparametric regressions of densely sampled multivariate time series data

Format: WSC 2027: IPS Abstract

A unified framework for fuzzy clustering of functional data

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AI and Mathematics Education: Challenges in teacher Education

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Co-author:

• Sandra Rostirola
• Elisa Henning
• Teresa Oliveira

AI readiness for official Data and Statistics

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AI, Ethics and Citizen Data

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AI-Assisted Poster Assessment in a Large Introductory Statistics Unit

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Achieving External Validity in Causal Inference with Modified Doubly-Robust Estimators

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Adaptation to Authorship: How Open Licensing Unlocked New Textbooks

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Adapting Career Preparation to an AI-Powered Job Market

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Adapting computing and visualization teaching in the era of AI

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Co-author:

• Susan Simmons
• Kate Bagley

Adapting statistical/data science curriculum to incorporate AI foundations

Format: WSC 2027: IPS Abstract

Addressing bilateral asymmetries: a euro area perspective

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Advancing Critical AI Literacy: Lessons from (and for) Statisticians

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Adversarial AI Risk Analysis for Sequential Bayesian Count Data Forecasting

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Agnostic Model-Assisted Estimation with\\[8pt] Machine Learning for Survey Data

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Analysis of Contemporary Data Sets

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Application of Artificial Intelligence in the 2025 Agricultural Census in Kazakhstan

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Application of Large Language Models for NACE Activity Classification

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Assessing surrogacy from joint modeling and mediation analysis when surrogates are either censored event times or longitudinal biomarker: in cancer

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Assessing the Quality and Fitness-for-Use of Alternative Data Sources in Official Statistics: Experiences from Kenya

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Associate Professor

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Co-author:

• Ian Ring
• Hannah Barbour
• Richard Madden
• Lisa Jackson Pulver

Asymmetries in Balance of Payments Statistics: Experience from a Compiler’s Perspective

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Balancing Utility and Privacy Protections in Subnational Data (Jennifer Park)

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Co-author:

• Jennifer Park

Bayesian Changepoints for Environmental Applications

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Bayesian Empirical Likelihood meets HMC: semiparametric modeling for longitudinal analysis.

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Bayesian Multi-Telescope Fusion: Measuring Precise Stellar Motions for the Faintest Stars

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Bayesian blockwise modelling of fragmented count time series

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Bayesian multi-scale clustering and multi-sample integration with feature selection for spatial transcriptomics data

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Co-author:

• Sandra Safo
• Alvin sheng
• Jihyun Kim

Bayesian networks structural learning challenges for complex sampling design data

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Beyond Accuracy: A Quality Framework for AI/ML in Official Statistics

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Beyond Analysis: Communicating Statistical Concepts to Domain Experts for Effective Collaboration

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Beyond Dissemination: Datathons as a Catalyst for Innovation in National Statistical Systems

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Beyond Traditional Surveys: Leveraging Mobile Phone Data and Geospatial Technologies for Official Statistics in West Africa

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Beyond the Textbook: Building a Modular Ecosystem of Open Statistics Education Resources through Student–Faculty Collaboration

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Bias-reduced statistics education for everyone? Generative AI, personalised learning and the question whose context counts

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Bridging Data Gaps in Household Distributional Statistics: Statistical Matching of Income, Consumption and Wealth

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Bridging Statistical Inference and Machine Learning: An Attention-Based Framework for Explainable Modeling

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Co-author:

• Haodong Qi

Bridging hard and soft clustering via L0 regularization

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Bridging the Data Ecosystem: Strengthening Partnerships Between Academia, Private Sector and National Statistical Offices

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Bridging the Digital Divide: AI, Official Statistics, and Public Data Literacy

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Bridging the biostatistics gap in African health research: An urgent call to action

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Building Trustworthy AI in Official Statistics: Methodological and Institutional Lessons from Istat

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Building an Integrated Statistical System for Policy and SDG Monitoring: Evidence from Tanzania

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Calibrated Bayesian composite likelihood approach to Irpino-Verde linear histogram regression

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Can ML Predict High Respondent Burden and Survey Break-Off? Evidence from the Norwegian LFS Using TMLE to Assess Potential Sources of Error

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CatPCA Biplots in Symbolic Data Analysis

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Co-author:

• Paula Brito

Causal Trees for Anti-Hypertensive Treatment Identification using Population Data

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Co-author:

• Luisa Foco
• Indhira Vadivel
• Fabiola Del Greco M
• Martin Gögele
• Mousumi Banerjee

Causal cell-cell communication with spatial transcriptomics data

Format: WSC 2027: IPS Abstract

Change point detection in time series of functional data

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Co-author:

• Debanjana Datta
• Nalini Ravishanker

Choice of trimming proportion and number of clusters in robust clustering based on trimming

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Co-author:

• Gianluca Morelli
• Luis Angel Garcia-Escudero
• Christian Hennig
• Agustın Mayo-Iscar
• Marco Riani

Classifying receipt texts to COICOP codes: Where it can go wrong

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Climate Modeling for Renewable Energy Potential in Africa: Using advanced modeling techniques to assess and predict renewable energy resources

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Closed-form estimators for the inverse Nakagami distribution

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Closing the Loop: How Enforcement Gives the Other Two E’s Their Meaning

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Co-author:

• Misha Belkindas

Clustering and multidimensional scaling of asymmetric dissimilarities with external information

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Co-author:

• Carlo Cavicchia
• Maurizio Vichi

Co-designing national surveys with Indigenous and Quilombola populations: Consultation and free, prior and informed consent (FPIC)

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Collaborating with Artificial Intelligence in Higher Education: Portfolios of Learning Evidence and Interview Assessments

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Collaboration with Government Agencies: Building Capacity of Official Statistics Collection and Reporting by Bureaus of Statistics in Ondo, Nigeria

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Collaboration with International Bodies in Research and Training

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Comparison of legal and statistical approaches to causation

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Complex Statistical Indicators Based On Symbolic Data Analysis: a straightforward and explainable approach to AI-supported Official Statistics

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Confidence Distributions for Simulation-Based Inference: Applications in Astronomy

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Contamination models for robust analysis of circular data

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Convex Clustering of Mixed Numerical and Categorical Data

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Coordinating Survey Design and Content in the West African Region

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DES DONNÉES A L’IMPACT : « LES HACKATHONS COMME CATALYSEURS DE L’INNOVATION, DU DÉVELOPPEMENTDES TALENTS ET DE LA COLLABORATION DANS STATISTIQUES OFFI

Format: WSC 2027: IPS Abstract

DOM-TG: A Bayesian Dose Optimization design for Multi-regional clinical trials using longitudinal Tumor Growth to guide information borrowing

Format: WSC 2027: IPS Abstract

Data integration: probability and nonprobability samples

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Data science and artificial intelligence (AI)

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Deep learning estimation of the spectral density of functional time series on large domains

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Defining homogeneity for spatial linear networks

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Designing for Trust in New Zealand's Integrated Statistical Data System

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Detecting Demographic Disparities in Mortgage Lending: A Symbolic Data Analysis Approach

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Co-author:

• Simona Korenjak-Černe

Detecting Outliers and Structural Breaks in Time Series

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Detecting a common mean change in multivariate time series with weighted U-statistics and VAR pre-whitening

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Determinants that shape spatial models

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Developing independent researchers: A guiding rubric for PhD supervision in Statistics

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Diretor - Eugénia Ulo

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Disaster Forecasting and Early Warning Systems for African Floods and Droughts

Developing predictive models to forecast extreme weather events and provide early warnings for floods and droughts in African regions

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Disaster Forecasting and Early Warning Systems for African Floods and Droughts: Developing predictive models to forecast extreme weather events

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Distinguished Professor

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Distributional Wealth Accounts at the Local Level: Combining DWA Microdata and Administrative Data via Small Area Estimation

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Distributional Wealth Accounts in an international perspective: progress, challenges and the G20 Data Gaps Initiative

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District-Level Expenditure Estimation in Indonesia with Log-Scale Fay–Herriot Modelling and Functional Measurement Error

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Dr.

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ECLAC's Experience in Producing Subnational Social Indicators through Small Area Estimation

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Echo State Networks for Spatio-Temporal Area-Level Data

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Co-author:

• Zhenhua Wang
• Christopher Wikle

Economic Risk of Households in Poland Amid Macroeconomic Shocks in 2020–2024

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Education in the Age of AI: Risk Analysis and Possible Pathways

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Co-author:

• Ivanete Zuchi
• Sandra Rostirola
• Teresa Oliveira

Effective Strategies and Skills for Data Science and AI for Official Statistics

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Efficient Use of Residuals Beyond Diagnostics: A Hybrid Diagnose Mine Learn Framework-Evidence from Production Blasts

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Co-author:

• Robert Agyare Ofosu
• Eric Neebo-Wiah

Elements of a Framework to Measure the Independence of Statistics

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Co-author:

• Misha Belkindas
• Walter Radermacher
• Jan Robert Suesser
• Rochelle Tractenberg

Empowering Favelas and Urban Communities through Integrated Statistical and Geospatial Data in Brazil

Format: WSC 2027: IPS Abstract

Environment-Invariant Hybrid Factor Modeling for Multi-Study Lifespan Data

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Establishment, Implementation and Practice of Teaching Statistical Consulting at the Federal University of Rio Grande do Norte

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Co-author:

• Andressa Nunes Siroky
• Antônio Hermes Marques da Silva Júnior
• Antonio Marcos Batista do Nascimento
• Carla Almeida Vivacqua
• Eliardo Guimarães da Costa
• Luz Milena Zea Fernández
• Mariana Correia de Araújo
• Talita Viviane Siqueira Barros

Estimating Dynamic Treatment Regimes for HIV Care in Zimbabwe Using Routine Programme Data: A Causal Inference and Deep Learning Approach

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Estimating the Bidirectional Relationships Between Depression and Intimate Partner Violence Using Longitudinal Data from South African

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Estimating the number of modern slavery victims or illicit drug users

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Estimation of Functional Principal Components from Sparse Functional Data

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Eurostat’s initiatives concerning asymmetries in Balance of Payments (BOP)

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Evaluating Causal Effects, Spatial Heterogeneity and Spillovers of the 2025 PEPFAR Funding Disruption on HIV Testing and Antiretroviral Therapy in Sou

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Co-author:

• Inger Fabris-Rotelli
• Albert Whata
• Samuel Manda

Experimental Design in Networks

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Exploring the Relationships between Statistical Anxiety, Motivation and AI Use

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Extending Fuzzy Forest to Mixed Variables using Sparse Weighted Consensus Clustering

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Co-author:

• Mory Ouattara
• Mouhamadou Lamine Ndao
• Gilbert Saporta

Flexible Model-Based Clustering via Parsimonious Dimension-Wise Scaled Normal Mixtures

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Flexible Parametric Survival Modelling for Causal Evaluation of Sequential National ART Policies in Malawi

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Co-author:

• Geoffrey Singini
• Samuel Manda

Forecasting Wave Heights Using Statistical, Deep Learning, and Transformer Models

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Fostering Statistical Thinking with GenAI in Introductory Statistics for Business and Economics Students

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Fostering employability, sustainability and global citizenship for Africa's development through industry-directed education and strategic partnerships

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Fostering student employability and global citizenship through the DataFest hackathons

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From Access to Understanding: Communication and Statistical Literacy in the Age of AI

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From Business Registers to Growth Diagnostics: Measuring Intangibles in African Economies

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From Citizen Data to Policy Evidence: Rethinking Statistical Quality in the Age of AI

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Co-author:

• Frauke Kreuter
• Carolina Franco

From Collection to Policy: Making Inclusive Data the Norm at the Ghana Statistical Service

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From Continuous Handwriting Measurements to Categorical Association Maps Using Multiple Correspondence Analysis

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From Dashboard to Multi-Level Diagnosis: Alignment and Complementarity between the WIS Framework and the UN Beyond-GDP Indicator System

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From Data to Impact: Hackathons as Catalysts for Innovation, Talent Development and Collaboration in African Official Statistics

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Co-author:

• Dominique Francoz

From Design to Dissemination: Managing and Harmonizing Labour Force Survey Data in Nigeria's Statistical System

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From Disaggregation to Inclusion: What Disability Data Reveals About the Gaps in National Statistical Systems

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From Global Framework to National Implementation: Data Availability, Cross-Country Comparability, and Quality Assurance for the WIS Benchmark

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From Maps to Mechanisms: Learning the Spatial Language of Tissue

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From Measurement to Governance: Modelling and Scenario Simulation for Embedding Beyond-GDP Indicators in Policy and Budget Cycles

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From Methodology to Application: An End-to-End Geospatial Platform for Measuring Access to Basic Services in Côte d'Ivoire

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Co-author:

• Akadie Marie-Dominique Epouse Tapé
• Obou Sibahi Sosthène
• MOUSSA Kouamé Richard
• ZALO Elodie
• Koffie Ezéchiel Miezan

From Mobile Signals to Statistical Insights: Unlocking Mobile Phone Data for Official Statistics

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From Training to Influence: A Policy Agenda for Embedding Young African Statisticians in Decision-Making

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From Visibility to Policy Action: Why a Registry Matters for Skills, Inclusion, and Workforce Planning

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Co-author:

• Carlos Muleya

Functional Data Analysis of Relative Humidity Patterns in South Africa

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Generalising Earth Observation AI/ML pipelines for European statistics

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Generative AI and foundation models: What do they really add to time series forecasting?

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Generative modelling of multivariate extremes using normalising flows: An application to wind power production.

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Grounding Statistical Literacy in Real-World Challenges: The ENCE/IBGE Citizen Data Project

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Hackathons as Instruments of Institutional Transformation: Developing a Practical Guide for African NSIs

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Harmonization of Statistical Training Curricula in Africa: Building a Continental Framework for Capacity Development and Data Innovation

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High-Dimensional and Functional Data Analysis: Modern Methods and Applications

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How a Stat Lab in a Private Institution Functions to Promote Statistical Collaboration

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How can mobile phone data such as CDR data con contribute to fill the data gap in Senegal?

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Co-author:

• Djibril Ndoye
• Felicien Accrombessy

How can we embed Responsible AI in the National Statistics Office of the Future

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How much can be gained via transfer learning?

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INLA and Bayesian computation for fairness‑relevant spatial models

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INLAjoint and beyond: INLA for multi-outcome modeling.

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IPS 1427 - New Time Series Analysis and Machine Learning tools for Official statistics

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Co-author:

• Corentin Lemasson

IPS 1467

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IPS1467

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Improving Prediction in a Regression Model for Analyzing Epidemiological Rates using the James-Stein Shrinkage on a Log-Normal Distribution

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Indigenous Americans in the 2030 Census of the United States

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Co-author:

• Bette Jacobs
• Felicia Hodge

Indigenous perspectives on the Aotearoa New Zealand census

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Co-author:

• Andrew Sporle

Inflated Unit Regression for Dropout Rates in Undergraduate Programs

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Innovation in capacity development – working across continents and sectors

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Instilling Core Competencies for Collaboration in the Next Generation of African Biostatisticians

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Integrating Machine Learning and Multi-State Survival Models for Predicting Chronic Disease Progression

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Integrating Time-Use Statistics into Budgeting, Fiscal Analysis, and Development Planning.

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Interpretable Machine Learning for Trustworthy Cross-Domain Decision Systems

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Investigating Re-Ranking Bottlenecks in Large-Scale Retrieval-Augmented Generation Systems and Proposing Performance Enhancement Techniques

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Issues in Indigenious Identification

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Issues in Indigenous Identification - IPS 1467

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Issues in Indigenous Identification: A Panel Discussion "Statistical visibility of Indigenous People in Mexico"

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It's Never too Early for Data: Rethinking Statistics and Data Science in Early Childhood

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Joint Modeling Beyond the Basics: Model Extensions Supported in JMbayes2

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Co-author:

• Dimitris Rizopoulos

Joint modelling of longitudinal ordinal data and survival data with competing risks

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Leveraging Agricultural Census Data and Deep Learning for Imputation in Agricultural Surveys: A Case Study from Liberia

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Lightweight Classifiers and Open LLMs for NACE Classification

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Linear Classification with Multi-level Multivariate Data using Patterned Covariance Structure

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Linking GPS and Self-Reported Travel Surveys: A Feasibility analysis using Data Linkage Techniques

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Co-author:

• Mohammad B. Al-khasawneh
• Guangchen Zhao
• Tiziana Tuoto

Machine Learning Workflow enhancement for automatic coding

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Machine Learning and Alternative Data Sources: Emerging Methods for Statistical Validation

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Machine learning using random forest for land cover classification in the Timor Leste Agricultural Census 2019

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Making Intersectional Inequalities Visible in Data

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Malawi's Experience in the Analysis for Action Project

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Mapping Africa’s Emerging Data Workforce: Who Are Young Statisticians and Data Scientists?

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Co-author:

• Lillian Ayebale
• Dorcas Kareithi
• Ashenafi Alemu Tessema
• Axel Keza
• Nakazwe Chikoloma

Mapping systemic cooling poverty through small area estimation: multidimensional deprivation and uncertainty in territorial prioritisation

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Measurement agenda to further advance the work on intangibles

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Measuring Inclusion Gaps in Official Statistics: Insights from ODIN and the Inclusive Data Compass

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Measuring What Matters: The Role of Quantitative Surveys for Targeted Data Needs

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Measuring What We Mean: A Multi-Dimensional Statistical Framework for Voter Apathy in Nigeria

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Measuring living conditions and social vulnerability by migrant background in the European Union

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Co-author:

• Aura Leulescu
• Eugenia De Rosa
• Estefanía Alaminos
• Mihaela Agafitei

Measuring the boundary between paid and unpaid work in an era of AI

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Metadata-Constrained Generation: A Neurosymbolic Architecture for Reliable Natural Language Queries over Statistical Microdata

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Co-author:

• Amado Esquer

Minimum Wage Intensity and Youth Labour Market Outcomes in Europe: A Comparative Panel Analysis

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Co-author:

• Prof. Lucio Masserini

Miss

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MixtureMissing: Flexible Model-Based Clustering for Incomplete Data

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Model-Based Analysis of Food Security and Nutritional Outcomes among Mother-Child Pairs in Tanzania: Evidence from TDHS 2015/16 and 2022

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Model-Based Clustering of Longitudinal Compositional Data Using a Logistic Matrix-Normal Multinomial Mixture

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Modelling Climate Variability and Crop Productivity Risk in Sub-Saharan Africa: Evidence from Nigeria

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Monitoring Field-Level Soil Moisture Using Satellite Observations and Machine Learning

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Monitoring Robustness in Regression and Transformation Choice

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Multi-source treatment effect estimation via semiparametric sparse deep neural networks

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Multiblock Data Analysis: Methods and Applications

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Multidimensional Poverty Mapping

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Multiple Changepoint Detection in Point Processes with Applications in Neuroscience

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Co-author:

• Rebecca Killick

Multivariate Small Area Estimation Models for Adolescent Health Indicators in Malawi

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Co-author:

• Samuel Manda
• Marc Yves Romain Henrion

National Profiling and International Comparison: Identifying Development Patterns and Adapting the Framework to Emerging Economies

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Network models to tackle human trafficking for child sexual exploitation.

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Nobody Left Behind: Role of Statisticians in Statistical Literacy, Data Literacy and Statistical Capacity Building in the AI Era.

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Non-stationary disease mapping for public health in Africa

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Co-author:

• Janet Van Niekerk

Nonparametric change point detection for incomplete time series

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Nonparametric supervised learning of functional spatio-temporal series

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Nonstationary geostatistical small area estimation: borrowing strength through covariate similarity

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Co-author:

• Samuel Manda

Novel statistical learning methods to model environmental exposures on human health

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Co-author:

• R. Ayesha Ali
• Gerarda Darlington

On the Calibration of Bayesian Success Criteria for Clinical Trials: From Statistical Innovation to Regulatory Impact

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On the Growth of Correspondence Analysis in Indonesia: A Bibliography

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Co-author:

• Eric J. Beh
• Karunia Eka Lestari

Paper Title: A Quarter-Century of Declining Ballots: Socioeconomic Determinants of Voter Turnout in Nigerian General Elections, 1999–2023

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Point process models for crime data on linear networks

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Practical pathways for strengthening biostatistical capacity in African health research

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Prediction Functions via Association Measures

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Preparing African Statisticians for the Data Revolution: Embedding AI, Data Science, and Geospatial Analytics in Statistical Curricula

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Preparing Collaborative Statisticians to Work in Business and Industry

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Preserving Statistical Meaning in the Age of AI: Literacy, Quality and Ethical Responsibility

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Priority actions for sustaining and transforming national and regional statistical systems in the years ahead.

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Privacy Amplification for Synthetic Data Using Range Restriction

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Prof

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Professor

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Quantification of Uncertainty in times of Machine Learning – Why it matters.

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Reading the cycle with BIS statistics: commercial real estate indicators and financial stability

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Co-author:

• Bianca Ligani

Reducing Global Asymmetries in External Sector Statistics

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Co-author:

• Kristy Howell
• Evrim Bese Goksu
• Erin Nephew

Remote Sensing and Machine Learning for Agricultural Census Validation in Mongolia

Format: WSC 2027: IPS Abstract

Remote sensing data integration for well-being small area estimation: A simulation study using Indian DHS data

Format: WSC 2027: IPS Abstract

Co-author:

• Silvia De Nicolò
• Enrico Fabrizi

Responsible AI across the agricultural census lifecycle: use cases, controls, validation and WCA 2030 implementation choices

Format: WSC 2027: IPS Abstract

Robust M-Estimation for Circular Data

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SCALE CALIBRATION FOR PELT IN HIERARCHICAL TIME SERIES: SEPARATING NUMERICAL SCALE, BASELINE-NOISE ESTIMATION AND HIERARCHICAL INFORMATION.

Format: WSC 2027: IPS Abstract

SVC: A Vision Transformer-based Spatially and Virtually Embedded Cell Model for Deciphering Subcellular Spatial Transcriptomic Heterogeneity

Format: WSC 2027: IPS Abstract

Safeguarding Statistical Independence in the Age of Political Pressure and Automated Decision-Making -IPS 1393

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Semiparametric Regression Analysis of Interval-Censored Data

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Simulating homogeneous spatial linear networks

Format: WSC 2027: IPS Abstract

Small Area Estimation of Food Expenditure Elasticity in Nigeria

Format: WSC 2027: IPS Abstract

Small Area Estimation of the Multidimensional Poverty Index for Latin America (MPI-LA)

Format: WSC 2027: IPS Abstract

Some asymptotic properties of the kernel Frechet Intrinsic regression on Riemannian manifolds.

Format: WSC 2027: IPS Abstract

Co-author:

• Anne-Françoise Yao
• Johan Aubray

SpaDiff: Denoising for Sequence-based Spatial Transcriptomics via Diffusion Process

Format: WSC 2027: IPS Abstract

Sparse Functional Singular Value Decomposition for Biclustering and Triclustering Longitudinal Data

Format: WSC 2027: IPS Abstract

Co-author:

• Thierry Chekouo
• Sandra Safo

Spatial-Temporal Inflated Models for Railway Delay Monitoring

Format: WSC 2027: IPS Abstract

Specialized Knowledge for Teaching Statistics in Early Primary Education: A Lesson Study Approach to Informal Inferential Reasoning

Format: WSC 2027: IPS Abstract

Stability-Oriented Variable Selection Across High-Dimensional, Functional and Multi-Block Models

Format: WSC 2027: IPS Abstract

Statistical Challenges and Opportunities for AI-Driven Biodiversity Monitoring

Format: WSC 2027: IPS Abstract

Statistical Learning and Modelling for Complex Matrix-Valued Data

Format: WSC 2027: IPS Abstract

Statistical Literacy, AI, and Digital Wellbeing: Empowering Critical Engagement with Data in a Digital World

Format: WSC 2027: IPS Abstract

Statistical Methods for the Analysis of Biological Age via Epigenetic Clocks

Format: WSC 2027: IPS Abstract

Statistical digital twins using multiple and diverse data sources

Format: WSC 2027: IPS Abstract

Statistical issues in investigation of suspected medical misconduct.

Format: WSC 2027: IPS Abstract

Statistics And Data Science Teacher Education And Professional Development Across School Levels

Format: WSC 2027: IPS Abstract

Strengthening National Capacity for Official Health Statistics in Africa through an African Union Initiative

Format: WSC 2027: IPS Abstract

Supervised Distance Metrics for Nearest-Neighbor Classification of Mixed-Type Data

Format: WSC 2027: IPS Abstract

Suppression and Spillovers: Causal Estimates of Electoral Violence, Institutional Distrust, and Voter Turnout in Fragile Democracies

Format: WSC 2027: IPS Abstract

Co-author:

• Dr Adeniji Emmanuel Oyebimpe

Synthetic Data in the Era of AI

Format: WSC 2027: IPS Abstract

Teacher Professional Development for Early Statistical Literacy: A Brazilian Case Study in Early Childhood Education

Format: WSC 2027: IPS Abstract

Teaching Collaboration at the University of Ibadan, Nigeria

Format: WSC 2027: IPS Abstract

Teaching Statistics Through Data: An Active Learning Approach in the Sahel

Format: WSC 2027: IPS Abstract

Co-author:

• James Kaleli Musyoka
• David Stern

Temporal Modeling of Epileptic EEG Patterns Using Complexity‑Regularized BiLSTM Networks

Format: WSC 2027: IPS Abstract

Co-author:

• Ibrahim Emin Ipek

Tensor and multilayer networks: original methodology and applications

Format: WSC 2027: IPS Abstract

The Accidental Author: Turning Classroom Assignments into Reproducible, Public-Facing Work

Format: WSC 2027: IPS Abstract

The Coordinate-Exchange Algorithm with Applications to Supersaturated Experiments

Format: WSC 2027: IPS Abstract

Co-author:

• Byran Smucker

The Generalised Singular Value Decomposition in High-Dimensional Multivariate Methods.

Format: WSC 2027: IPS Abstract

The Global INTAN-Invest Database: Content, Methodology, and Latest Developments

Format: WSC 2027: IPS Abstract

The Hidden Risk of Missed Nutritional Care in Internal Medicine

Format: WSC 2027: IPS Abstract

Co-author:

• Ricardo C. Marinho
• Ana Craveiro
• Susana Ferreira
• Marta S. Lopes
• João A. Correia, Anibal Marinho and Marisa D. Santos

The Hierarchy Question: Insights from Hierarchical Text Classification for Standardized Codes

Format: WSC 2027: IPS Abstract

The New Data Sources and Statistical Systems in Africa

Format: WSC 2027: IPS Abstract

The Same Shock is not the Same Effect: Cross-Country Non-Transportability of Household-Shock Effects on Child Linear Growth in Four LMICs

Format: WSC 2027: IPS Abstract

The Wealth Side of Poverty: Regional Estimates and Spatial Patterns

Format: WSC 2027: IPS Abstract

The graphpcor R package: Models for correlation matrices with application to graph-based joint modeling

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The importance of space (and statistics) in criminological research

Format: WSC 2027: IPS Abstract

The power of naming and Citizen Data: IBGE's experience with Favelas and Urban Communities

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The rjdverse R Suite for Time Series Econometrics in Official Statistics

Format: WSC 2027: IPS Abstract

Time Series Imputation Using a Neural Network Model

Format: WSC 2027: IPS Abstract

Co-author:

• Carlos Saez Calvo
• Jordi Verdu Naranjo
• Andres Alonso Gutierrez

Time Use Statistics as an Input to Productivity and Growth Analysis

Format: WSC 2027: IPS Abstract

Towards a Harmonized Francophone Framework for Statistical Training: Experience from Tunisia and North Africa

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Towards a strategy for shared infrastructure through interdisciplinary pooling of institutional resources

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Towards internationally comparable Distributional Wealth Accounts: OECD ongoing work and future directions

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Transforming Education through Reusable Variants of Open Education Resources

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Trust in statistics

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Uncertainty quantification in the presence of big and augmented data

Format: WSC 2027: IPS Abstract

Unlocking the Policy Value of Time-Use Statistics Through Integrated Data Systems

Format: WSC 2027: IPS Abstract

Use of Generative AI as a Resource for Teacher Education in Statistics Education

Format: WSC 2027: IPS Abstract

Co-author:

• Ivanete ZUCHI SIPLE
• Elisa Henning

Use of Volunteer Geographic Information and Alternative Geospatial Data Sources for Official Statistics and SDG Monitoring

Format: WSC 2027: IPS Abstract

User-Centered Design and Citizen Data: Tailoring Statistical Dissemination to Citizen Needs at IBGE

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Co-author:

• Guilherme da Costa Garcia

Using Time-Use Evidence to Inform Economic Planning and Productivity-Oriented Policy

Format: WSC 2027: IPS Abstract

Valuation for a Global Benchmark: PPP-Based Value Accounting and Its Extension to Well-Being Comparison

Format: WSC 2027: IPS Abstract

Valuing what matters: Measuring unpaid household service work in the 2025 SNA

Format: WSC 2027: IPS Abstract

We Never Wanted Two Books: Building a Variant-Based Ecosystem for Open Educational Resources

Format: WSC 2027: IPS Abstract

When Explanation Generates Trust: A Taxonomy of Explainable Bayesian Networks in Socio‑Technical Decision‑Making

Format: WSC 2027: IPS Abstract

Where Did It Come From? Statistical Source Tracking in Complex River Systems

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Where Granularity Matters: Calibrating Subdomain Inference for Binary Outcomes

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Where People Live, Whether They Count. Challenges in Surveying Populations Experiencing Severe Housing Deprivation or Homelessness

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Co-author:

• Valeria de Martino

Which Surrogates Work, and for Whom? Using Surrogate Markers to Understand Treatment Effects

Format: WSC 2027: IPS Abstract

Who Answers for the Machine? Ethical Governance, Accountability and Human Judgement in AI-Assisted Official Statistics

Format: WSC 2027: IPS Abstract

Co-author:

• Fabrizio Rotundi
• Katia Ambrosino

Who Counts the Dividend? Building a Youth Data Workforce for Zambia and East and Southern Africa in the Age of AI

Format: WSC 2027: IPS Abstract

Co-author:

• Nachela Chelwa

Who Gets to Contribute? Rethinking Youth Employment and Leadership in Africa’s Data Workforce

Format: WSC 2027: IPS Abstract

Who is doing the thinking? Extending the PhD rubric for the age of generative AI

Format: WSC 2027: IPS Abstract

Why responsible AI requires a rigorous methodology

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Working with AI in Postgraduate Research: Embracing Cognitive Demand

Format: WSC 2027: IPS Abstract

Young statisticians as agents of change: Takwimu's strategy for embedding the next generation at the heart of Africa's statistical systems

Format: WSC 2027: IPS Abstract

“Innovation in Capacity Development – Working Across Continents and Sectors”

Format: WSC 2027: IPS Abstract