uRos2026 Programme

Paris · 18–20 November 2026

Wednesday, 18 November 2026 - Tutorial Day

Time	Room 1	Room 2	Room 3
09:00–10:30	Getting Started with Positron: A Next-Generation IDE for Data Science - Cetinkaya-Rundel Mine, Dervieux Christophe	Spatial Analysis and Cartography with R - Antunez Kim	Analyzing Revisions in Official Time Series with the R Package reviser - Wegmüller Philipp
10:30–11:00	Coffee break
11:00–12:30	R in the Age of LLMs: From AI-Assisted Development to Chat-Based Data Applications - I - Michonneau François	Mapping Official Statistics with the tmapverse and cols4all - Tennekes Martijn	Managing statistical disclosure control from microdata to protected linked tables with rtauargus - Ferrer-Pradines Nadège, Desclodure Julien
12:30–13:30	Lunch Break
13:30–15:00	R in the Age of LLMs: From AI-Assisted Development to Chat-Based Data Applications - II - Michonneau François	From Data to Models: Hands-On Machine Learning with R - Pérez Bote Adrián, Barragán Andrés Sandra	Working with categorical data and codelists in R - Van der Laan Jan, de Jonge Edwin
15:30–16:00	Coffee break
16:00–17:30	Opening the Black Box: Interpreting Machine Learning Models with SHAP Values in R - Panaiotis Thelma		Tidy Survey Analysis in R: Working with Weights and Sampling Designs for Official Statistics - Zimmer Stephanie, Powell Rebecca, Velásquez Isabella

Thursday, 19 November 2026 - Conference Day 1

Time	Room 1	Room 2	Room 3
08:00–09:00	Registration and walk-in
09:00–09:30	Opening
09:30–10:30	Keynote: R and Open-Source: A love story - Rebecca Killick
10:30–11:00	Coffee break
11:00–12:30	A1 - AI Assistants for Statistical Production	B1 - Reproducible Statistical Production Pipelines	C1 - Automated and Accessible Statistical Publishing
12:30–14:00	Lunch break
14:00–15:30	A2 - AI, Machine Learning and Intelligent Automation	B2 - Lightning Talks I: Production, Validation and Survey Methods	C2 - Shiny Applications and Statistical Visualisation
15:30–16:00	Coffee break
16:00–17:30	A3 - Open Source Adoption and the R Community	B3 - Infrastructure and Tools for Statistical Production	C3 - Statistical Disclosure Control and Synthetic Data

A1 - AI Assistants for Statistical Production

• 110 billion euros, one deadline, zero regression: migrating a critical calculation service to R with AI - Guyader Vincent
• An AI-Powered Analysis Assistant for Large-Scale Official Statistics - Hauke Oliver
• Large Language Models as Assistants for Time Series Analysis in Official Statistics: Opportunities for Innovation and Capacity Building - Suzić Jelena
• Scaling Local LLM Coding Assistants for R, Python and SAS in Official Statistics - Fischer Bernhard
• Using LLM's for automated translation of Excel files and SAS scripts to R - Jahn Andreas

B1 - Reproducible Statistical Production Pipelines

• Modernizing Global Survey Data Processing: Reproducible R Pipelines at the IEA - Moser-Nussgruber Winfried
• Integrating Time Series Processing into an Automated Production Workflow in R - Heidsieck Suzanne
• Spipe: a lightweight workbench for building and monitoring reproducible analytical pipelines in R, illustrated on the GEM Luxembourg production and analysis chain - Pettinger Maxime
• The {ProduceR} package: streamlining and improving the reliability of statistical production - Reduron Vincent
• Building an internal package ecosystem for data processing - Kis Viktoria

C1 - Automated and Accessible Statistical Publishing

• Automated Public Science Communication: Building a Bluesky Bot for Real-Time Official Statistics Visualisation with R - Damien Dupre
• Beyond parametrised reports: Adventures automating country notes at the OECD - Caldas Rivera Maria Paula
• From code to print-ready publication: Automating layout at the French Ministry of Justice - Marsal Adam
• From R Markdown to Accessible PDF: Building Tagged Word Documents and Templates for Official Statistics Publications - Dominik Ernst
• Reproducible Statistical Publications with Quarto - Dervieux Christophe

A2 - AI, Machine Learning and Intelligent Automation

• Beyond Use Cases: Modular R Packages for Automated Coding and Data Extraction - Niederhametner Nina
• Bridging R and Python for AI-Driven NLP - Lykos Georgios
• Structuring Annual Reports for Official Statistics: A Method for Data Editing Using Large Language Models - Bjørkholt Solveig
• A Comparison of Model-Based and Unsupervised Learning Methods for Detecting Scaling Errors in R - Marcello D'orazio
• Unsupervised Learning Approaches for Identifying Structural Anomalies in European Regional Statistics - Bogdan Oancea

B2 - Lightning Talks I: Production, Validation and Survey Methods

1. Common pitfalls when switching from SAS to R - Lamarche Pierre
2. Automating Granular Data Pipelines with R: A Case Study from a Central Banking Context - Kaya Ibrahim Cagan
3. Template and Function: A Tabular Configuration Pattern for Large Scale Operations on Files with Varying Schemas in Official Statistics - Rakotomalala Daniel
4. R you useful for maintaining information systems? - Mainguené Alice
5. {IssueTrackeR}: Handling Tickets in R - Barthelemy Tanguy
6. From Data to Publication : An Automated R-Based Framework for Consumer Price Index Reporting - Aoulad Hammou Achou Zineb
7. Metadata-driven validation across the statistical production process using R - Konradsdottir Ragnhildur
8. Facilitating R-Based Statistical Validation Through EZR: A Case Study in Melanoma High-Frequency Ultrasound Assessment - Chalyy Kyrylo
9. Manual Rework Volume Monitoring and Forecasting Tool - Coltier Yves
10. Semi-automated editing of large volumes of foreign trade data for the environmental Economy-Wide Material Flow Account - Campandegui García Gorka
11. VIM::vimpute: A Unified Imputation Engine for Flexible Missing Data Workflows in R - Kowarik Alexander
12. Sampling Designs and Sample Quality Control: Using Quarto Documents in Agricultural Surveys - Levi-Valensin Michael
13. RISQ: Representativity Indicators for Survey Quality - Idema Reijer
14. Reproducible Survey-Based Estimation of Household Living Standards in Morocco Using ENNVM 2022 Microdata - Baabaa Oussama
15. SmartSurveyAgent: A New Approach to Survey Data Collection in Official Statistics - Cafieri Simona

C2 - Shiny Applications and Statistical Visualisation

• Rapid Crisis-Oriented Survey Visualization in Official Statistics: Flood Damage in Polish Agriculture Using R - Grabarczyk Kamil
• phsshiny: An R Package for Standardisation and Accessibility in the Publication of Health Data - Gribben Ciara
• Public-Facing Shiny Apps at Statistik Austria: Corporate Design, Accessibility, and Secure Deployment by Design - Seewann Lena
• R Shiny Platform for Detecting, Validating, and Reporting River Overflow Periods - Movsisyan Vahe, Habet Madoyan
• Creating population pyramids in less than 100 lines of code - Neutze Michael

A3 - Open Source Adoption and the R Community

• Beyond code: supporting teams through the transition to Open Source - Simon Raphael
• From SAS to R, one small step for data production, on giant leap for official statistics - Lamarche Pierre
• Towards metrics for awesome software packages: first results - Ten Bosch Olav
• What makes the R community unique? - Lesur Romain
• Publishing in the R Journal - Van Der Loo Mark

B3 - Infrastructure and Tools for Statistical Production

• AccScript: an R-based domain-specific language for reproducible national accounts production - Taleb Iliass
• DuckDB beyond R: demystifying the analytical database in your toolbox - Hiverlet Ines
• National Accountant: A Reproducible R-DuckDB Framework for Balancing Supply and Use Tables with Hard and Soft Constraints - Kocak Assoc. Prof. Necmettin Alpay
• procR: New Features for End-to-End Table Production in Official Statistics - Saidani Younes
• codelist: working more efficiently with code lists in R - Van Der Laan Jan

C3 - Statistical Disclosure Control and Synthetic Data

• A wavelet protection method for publishing maps - De Jonge Edwin
• ckm: an easy application of cell-key method to protect tabular data - Ferrer-Pradines Nadège
• Protecting linked tables with non-nested hierarchies: a use case with rtauargus - Ferrer-Pradines Nadège
• rebalancedNoise: Perturbative Statistical Disclosure Control for Magnitude Tables in R - Meindl Bernhard
• An Open-Source R Framework for Systematic Optimization of Synthetic Data Production - Calian Violeta

Friday, 20 November 2026 - Conference Day 2

Time	Room 1	Room 2	Room 3
08:00–09:00	Registration and walk-in
09:00–10:00	Keynote: Practical AI for Data Science - Simon Couch
10:00–10:45	EMOS presentations
10:45–11:15	Coffee break
11:15–12:45	A4 - Spatial and Small Area Analysis	B4 - Social and Economic Applications	C4 - Record Linkage and Population Registers
12:45–13:45	Lunch break
13:45–15:15	A5 - Survey Sampling, Weighting and Variance Estimation	B5 - Lightning Talks II: R Tools, Visualisation and Applications	C5 - Imputation and Advanced Statistical Methods
15:15–15:45	Coffee break
15:45–17:15	A6 - Nowcasting and Time-Series Methods	B6 - Survey Quality, Metadata and Fieldwork	C6 - Seasonal Adjustment in Official Statistics
17:15–17:30	Closing

A4 - Spatial and Small Area Analysis

• 3D Thematic Mapping in R with tmap v4 and tmap.mapgl - Tennekes Martijn
• Measuring Spatial Inequalities in University Accessibility Using R and GTFS Data: Evidence from Rome - D'aniello Armando
• Bayesian Small Area Estimation for Multinomial Health Indicators Using R: An Application to Official Statistics - Nikolaidis Ioannis
• Small Area Estimation of Poverty in the Practice of Statistics Poland - Szymkowiak Marcin
• Automating Educational Statistics Production Processes Using R and Shiny: A Case Study from Turkish Statistical Institute - Ozbek Fethi Saban

B4 - Social and Economic Applications

• Behind-the-Scenes Complexity, Clear Insights Up Front: Longitudinal Minimum Income Benefit Analysis in a French Local Authority, from Database to Simple Indicators - Chosson Elie
• Event-sequence analysis of fertility histories with TraMineR, INDSCAL and DISQUAL - Morand Elisabeth
• Mental health and social participation: A data-driven analysis using R - Camelia Maria Dan
• Measurement and Determinants of Multidimensional Poverty of Fishers and Farmers in the Philippines Using 2024 CBMS Data - Giray Evette
• Reproducible Machine Learning with Tidymodels for NHL Draft Prediction - Lochner Tobias

C4 - Record Linkage and Population Registers

• Building a register-based resident population from administrative data with R - Danek Zofia
• Linking Administrative Data Without Unique Identifiers: A randomForest Approach in R - Nölting Christopher
• postlink: An R Package for Post-Linkage Data Analysis - Bukke Priyanjali
• Probabilistic Record Linkage with the automatedRecLin R package - Struzik Adam
• Reconciling Local and National Demographic Accounts in R - Ward Daniel

A5 - Survey Sampling, Weighting and Variance Estimation

• Calibration of Survey Weights in R: A Comparative Overview of Available Packages - Szymkowiak Marcin
• Developing an R Package for Sample Weight Estimation - Osier Guillaume
• samplyr: A Tidy Grammar for Survey Sampling Design in R - Ahmadou Dicko
• Making gustave production-ready: multistage designs, wrapper inspection and estimation diagnostics. - Delclite Thomas
• weightflow: a declarative, auditable recipe for survey weighting in R - Ferreira Juan Pablo

B5 - Lightning Talks II: R Tools, Visualisation and Applications

1. Who owns R? - Porsman Maria
2. How many R packages in CRAN do you know? - Kiener Patrice
3. ILSAmerge and ILSAstats: Two new R packages for international large-scale assessments - Christiansen Andrés
4. Rrepest: An Analyzer of International Large Scale Assessments in Education - Ilizaliturri López Rodolfo
5. {loomer} - A high-performance auxiliary R package for analyzing the Danish Lifelines dataset - Kashnitsky Ilya
6. Further microdata anonymisation tools in R - Caputi Marco
7. Automatic classification of pastoral-use parcels / Classification automatique des parcelles à usage pastoral - Thion Romuald
8. Use of R Packages for Cartography: The Case of Road Traffic Accident Statistics in Luxembourg - Osier Guillaume
9. Mapping the Gendered Impact of Economic Shocks: A Spatial Analysis of Mancession vs. Shecession across European Regions - Trascan Andreea-Denisa
10. One R, Many Stories: R as a Visual Language to Tell a Country's Public Health Narrative - Bajador Jerico
11. Estimating French election results like the pollsters from partial vote counts on election night: a transparent, reproducible R approach based on open public data - Guinhut Thomas
12. The Effects of Skills on Gender Wage Inequality in the Digital Economy - Petrașcu Gianina-Maria
13. Why Do Some Counties Perform Better? Educational Hubs, High-Tech Development and Skills Mismatch in Romania - Boboc Cristina
14. Understanding International Remittance Flows: A Comparative Analysis Across Distinct Corridors Using Hybrid Machine Learning Methodologies - Zhang Jing
15. The Intellectual Architecture of Artificial Intelligence-Driven Work Transformation: A Large-Scale Scientometric Exploration of Global Research Dynamics - Ciuhu Ana-Maria

C5 - Imputation and Advanced Statistical Methods

• MRimputation: An R Package for Multiply Robust Imputation - Czerniawska Aniela
• Preprocessing Categorical Variables through Edit-Induced Equivalence Classes in ARTIC - Toti Simona
• Aggregating incomplete data: accounting for hierarchical relationships - Kis Viktoria
• Estimate distributions with fat and skewed tails with the FatTailsR package - Kiener Patrice
• What's new for time-to-event data in tidymodels - Frick Hannah

A6 - Nowcasting and Time-Series Methods

• An R-Based Nowcasting Dashboard for Industrial Production Index: Comparative Analysis of Classical and Machine Learning Methods - Dedeoglu Duygu
• Harvesting Data as Crops Are Harvested : An Automated R Pipeline for Timely Yield Estimates - Touzani Hanan
• Making Singular Spectrum Analysis More Accessible: A Step-by-Step Framework and R Implementation - Delaune Eulalie
• Using R to provide a new interface to an old time series program - Mélard Guy
• KOMA - An R package for Bayesian estimation of simultaneous equation models - Scherer Merlin

B6 - Survey Quality, Metadata and Fieldwork

• BuSuCo: A package for business survey coordination - Straubinger Johannes
• A Psychometric Approach of Eurostat Business and Consumer Survey: Reliability, Factor Structure and Item Response Theory Analysis using R - Sandu Mihaela Cornelia
• Predicting Response in Official Mixed-Mode Household Surveys: A Machine Learning Approach - Succi Raffaella
• The Survey Fieldwork Digital Twin: An R-Based Early-Warning System for Mixed-Mode Official Statistics - Resulbegoviq Hakile
• The Metadata Quality Assistant (MQA): an R/Shiny prototype for supporting the preparation of SIMS quality reports - Spiliopoulou Vasiliki

C6 - Seasonal Adjustment in Official Statistics

• Assessing Direct and Indirect Seasonal Adjustment Approaches for Labour Cost Indices: A Serbian Case Study - Suzić Jelena
• pickmdl3: An R package implementing the X-12-ARIMA pickmdl procedure within the JDemetra+ R framework - Jens Kristoffer Haug
• regimeseats: An Adaptive State-Space Extension for TRAMO-SEATS in Official Statistics - Amoroso Cheyenne
• The RJDverse Package Suite for Time Series Econometrics in Official Statistics - Webel Karsten
• {stlpro}: Seasonal Adjustment with Cross-Validated Filter Selection - Ollech Daniel