uRos2026 Programme

Paris · 18–20 November 2026

Wednesday, 18 November 2026 - Tutorial Day

Time	Auditorium	Bloch-Lainé 1 (access “cour”)	Bloch-Lainé 2 (access “rue”)
09:00–10:30	Getting Started with Positron: A Next-Generation IDE for Data Science - François Michonneau, Christophe Dervieux, Mine Çetinkaya-Rundel	Spatial Analysis and Cartography with R - Kim Antunez
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 - François Michonneau	Mapping Official Statistics with the tmapverse and cols4all - Martijn Tennekes	Managing statistical disclosure control from microdata to protected linked tables with rtauargus - Nadège Ferrer-Pradines, Julien Desclodure
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 - François Michonneau	From Data to Models: Hands-On Machine Learning with R - Adrián Pérez Bote, Sandra Barragán Andrés	Working with categorical data and codelists in R - Jan van Der Laan, Edwin de Jonge
15:30–16:00	Coffee break
16:00–17:30	Opening the Black Box: Interpreting Machine Learning Models with SHAP Values in R - Thelma Panaiotis		Tidy Survey Analysis in R: Working with Weights and Sampling Designs for Official Statistics - Stephanie Zimmer, Rebecca Powell, Isabella Velásquez

Thursday, 19 November 2026 - Conference Day 1

Time	Auditorium	Bloch-Lainé 1 (access “cour”)	Bloch-Lainé 2 (access “rue”)
08:00–09:00	Registration and walk-in
09:00–09:15	Opening
09:15-10:15	Keynote: R and Open-Source: A love story - Rebecca Killick (chair: Anna Smyk)
10:15–11:00	EMOS session I (chair: Tina Steenvoorden)
11:00–11:30	Coffee break
11:30–13:00	A1 - AI Assistants for Statistical Production (chair: Nina Niederhametner)	B1 - Reproducible Statistical Production Pipelines (chair: Ana-Maria Ciuhu)	C1 - Automated and Accessible Statistical Publishing (chair: Johannes Straubinger)
13:00–14:00	Lunch break
14:00–15:30	A2 - AI, Machine Learning and Intelligent Automation (chair: Sandra Barragán Andrés)	B2 - Lightning Talks I: Production, Validation and Survey Methods (chair: Mark van der Loo)	C2 - Shiny Applications and Statistical Visualisation (chair: Bernhard Meindl)
15:30–16:00	Coffee break
16:00–17:30	A3 - Open Source Adoption and the R Community (chair: Alexander Kowarik)	B3 - Seasonal Adjustment in Official Statistics (chair: Rebecca Killick)	C3 - Statistical Disclosure Control and Synthetic Data (chair: Ciprian Alexandru)

EMOS session I

• An R Framework for AI-Assisted Questionnaires in Official Statistics: An Application to Financial Literacy Surveys - Valeria Rossi
• Developing a territorial One Health indicator using R - Carmen Limone Fenicia
• Long-Term Effects of the Czech National Bank's Exchange-Rate Commitment: A Synthetic Control Approach in R - Ondřej Valtr

A1 - AI Assistants for Statistical Production

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

B1 - Reproducible Statistical Production Pipelines

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

C1 - Automated and Accessible Statistical Outputs

• 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 - Maria Paula Caldas Rivera, Rodolfo Ilizaliturri López
• From code to print-ready publication: Automating layout at the French Ministry of Justice - Adam Marsal, Fanny Allard
• Reproducible Statistical Publications with Quarto - Christophe Dervieux
• From Data Acquisition to Harmonised Outputs: A Reproducible R Workflow for Official Statistics - Ciprian Alexandru

A2 - AI, Machine Learning and Intelligent Automation

• Beyond Use Cases: Modular R Packages for Automated Coding and Data Extraction - Nina Niederhametner, Eileen Vattheuer, Marlene Steiner
• Bridging R and Python for AI-Driven NLP - Georgios Lykos, Spyridon Dimas, Georgia Panagopoulou, Michail Vikentios
• Structuring Annual Reports for Official Statistics: A Method for Data Editing Using Large Language Models - Bjørkholt Solveig, Mona Islam Mousumi, Sarah Torvholm Frøystad, Odin Johansen, Maryam Javed
• A Comparison of Model-Based and Unsupervised Learning Methods for Detecting Scaling Errors in R - Marcello D'orazio, Cristina Faricelli, Renato Magistro

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

1. How many R packages in CRAN do you know? - Patrice Kiener, Christophe Dutang
2. Template and Function: A Tabular Configuration Pattern for Large Scale Operations on Files with Varying Schemas in Official Statistics - Daniel Rakotomalala
3. R you useful for maintaining information systems? - Alice Mainguené
4. {IssueTrackeR}: Handling Tickets in R - Tanguy Barthelemy
5. From Data to Publication : An Automated R-Based Framework for Consumer Price Index Reporting - Zineb Aoulad Hammou Achou, Zakariae Halhal
6. Facilitating R-Based Statistical Validation Through EZR: A Case Study in Melanoma High-Frequency Ultrasound Assessment - Kyrylo Chalyy, Roman Hryshchenko, Olga Bogomolets, Viktor Stepanenko
7. Manual Rework Volume Monitoring and Forecasting Tool - Yves Coltier
8. Semi-automated editing of large volumes of foreign trade data for the environmental Economy-Wide Material Flow Account - Gorka Campandegui García, Julia Maestro López
9. VIM::vimpute: A Unified Imputation Engine for Flexible Missing Data Workflows in R - Alexander Kowarik , Eileen Vattheuer, Matthias Templ, Johannes Gussenbauer, Nina Niederhametner
10. Sampling Designs and Sample Quality Control: Using Quarto Documents in Agricultural Surveys - Michael Levi-Valensin
11. RISQ: Representativity Indicators for Survey Quality - Reijer Idema
12. SmartSurveyAgent: A New Approach to Survey Data Collection in Official Statistics - Simona Cafieri

C2 - Shiny Applications and Statistical Visualisation

• Rapid Crisis-Oriented Survey Visualization in Official Statistics: Flood Damage in Polish Agriculture Using R - Kamil Grabarczyk
• phsshiny: An R Package for Standardisation and Accessibility in the Publication of Health Data - Ciara Gribben, Russell Mccreath, Bateman Mcbride
• R Shiny Platform for Detecting, Validating, and Reporting River Overflow Periods - Vahe Movsisyan, Madoyan Habet, Ina Karapetyan
• Creating population pyramids in less than 100 lines of code - Michael Neutze

A3 - Open Source Adoption and the R Community

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

B3 - Seasonal Adjustment in Official Statistics

• Assessing Direct and Indirect Seasonal Adjustment Approaches for Labour Cost Indices: A Serbian Case Study - Jelena Suzić, Melinda Tokai, Dunja Katić, Ana Markovic
• pickmdl3: An R package implementing the X-12-ARIMA pickmdl procedure within the JDemetra+ R framework - Jens Kristoffer Haug, Øyvind Langsrud, Ane Seierstad, Susie Jentoft, Ivar Hamre Jørn, Quang Pham Dinh
• regimeseats: An Adaptive State-Space Extension for TRAMO-SEATS in Official Statistics - Cheyenne Amoroso, Germán Aneiros, Carolina García-Martos, Jan Koopman Siem, José A. Vilar
• The RJDverse Package Suite for Time Series Econometrics in Official Statistics - Karsten Webel, Anna Smyk
• {stlpro}: Seasonal Adjustment with Cross-Validated Filter Selection - Daniel Ollech

C3 - Statistical Disclosure Control and Synthetic Data

• A wavelet protection method for publishing maps - Edwin de Jonge
• ckm: an easy application of cell-key method to protect tabular data - Nadège Ferrer-Pradines, Julien Desclodure, Dimitri Lemaire
• Protecting linked tables with non-nested hierarchies: a use case with rtauargus - Nadège Ferrer-Pradines, Julien Desclodure , Dimitri Lemaire
• rebalancedNoise: Perturbative Statistical Disclosure Control for Magnitude Tables in R - Bernhard Meindl

Friday, 20 November 2026 - Conference Day 2

Time	Auditorium	Bloch-Lainé 1 (access “cour”)	Bloch-Lainé 2 (access “rue”)
08:00–09:00	Registration and walk-in
09:00–10:00	Keynote: Practical AI for Data Science - Simon Couch (chair: Mark van der Loo)
10:00–10:50	EMOS session II (chair: Tina Steenvoorden)
10:50–11:15	Coffee break
11:15–12:45	A4 - Survey Sampling, Weighting and Variance Estimation (chair: Ivana Levačić)	B4 - Social and Economic Applications (chair: Cristina Rodica Boboc)	C4 - Infrastructure and Tools for Statistical Production (chair: Martijn Tennekes)
12:45–13:45	Lunch break
13:45–15:15	A5 - Spatial and Small Area Analysis (chair: Romain Lesur)	B5 - Lightning Talks II: R Tools, Visualisation and Applications (chair: Alexander Kowarik)	C5 - Imputation and Advanced Statistical Methods (chair: Marcello d'Orazio)
15:15–15:45	Coffee break
15:45–17:15	A6 - Nowcasting and Time-Series Methods (chair: Tanguy Barthelemy)		C6 - Data Integration, Survey Processes and Quality (chair: Bernhard Fischer)
17:15–17:30	Closing

EMOS session II

• Typology of business ecosystems in European Union countries - Dalidovich Ulada
• AI, Robotization and Perceived Occupational Displacement across European regions - an R based Spatial Econometrics Analysis - Vlad-Andrei Petre, Smaranda Cimpoeru
• R-Based Visualization of Continuous-Time Markov Migration Models - Anna Boukouvala, George Tsaklidis
• Subsampling Non-Response Follow-Up in the Canadian Housing Survey: Comparing the Historical Hansen-Hurwitz Method and Non-Probability Estimation - Thomas Guinhut

A4 - Survey Sampling, Weighting and Variance Estimation

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

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 - Elie Chosson
• Event-sequence analysis of fertility histories with TraMineR, INDSCAL and DISQUAL - Elisabeth Morand
• Mental health and social participation: A data-driven analysis using R - Camelia Maria Dan, Cristina Rodica Boboc
• Reconciling Local and National Demographic Accounts in R - Daniel Ward

C4 - Infrastructure and Tools for Statistical Production

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

A5 - Spatial and Small Area Analysis

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

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

1. Common pitfalls when switching from SAS to R - Pierre Lamarche
2. ILSAmerge and ILSAstats: Two new R packages for international large-scale assessments - Andrés Christiansen
3. {loomer} - A high-performance auxiliary R package for analyzing the Danish Lifelines dataset - Ilya Kashnitsky
4. Further microdata anonymisation tools in R - Marco Caputi
5. Automatic classification of pastoral-use parcels / Classification automatique des parcelles à usage pastoral - Romuald Thion
6. Use of R Packages for Cartography: The Case of Road Traffic Accident Statistics in Luxembourg - Guillaume Osier, Alexi Dere, Lucile Bodson
7. Mapping the Gendered Impact of Economic Shocks: A Spatial Analysis of Mancession vs. Shecession across European Regions - Andreea-Denisa Trascan, Camelia-Maria Dan
8. One R, Many Stories: R as a Visual Language to Tell a Country's Public Health Narrative - Jerico Bajador
9. Estimating French election results like the pollsters from partial vote counts on election night: a transparent, reproducible R approach based on open public data - Thomas Guinhut, Eulalie Delaune, Romain Winckell
10. The Effects of Skills on Gender Wage Inequality in the Digital Economy - Gianina-Maria Petrașcu, Andreea-Denisa Trascan
11. Why Do Some Counties Perform Better? Educational Hubs, High-Tech Development and Skills Mismatch in Romania - Cristina Boboc, Gianina Maria Petrașcu
12. The Intellectual Architecture of Artificial Intelligence-Driven Work Transformation: A Large-Scale Scientometric Exploration of Global Research Dynamics - Ioana Barbulescu, Ana-Maria Ciuhu, Valentina Vasile, Andrei Suciu, Razvan Vasile

C5 - Imputation and Advanced Statistical Methods

• Preprocessing Categorical Variables through Edit-Induced Equivalence Classes in ARTIC - Simona Toti, Romina Filippini
• Aggregating incomplete data: accounting for hierarchical relationships - Viktoria Kis, Erika Lee, Simon Normandeau, Sara Otavo Peña
• Estimate distributions with fat and skewed tails with the FatTailsR package - Patrice Kiener
• What's new for time-to-event data in tidymodels - Hannah Frick

A6 - Nowcasting and Time-Series Methods

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

C6 - Data Integration, Survey Processes and Quality

• Linking Administrative Data Without Unique Identifiers: A randomForest Approach in R - Christopher Nölting , Murad Hajiyev
• postlink: An R Package for Post-Linkage Data Analysis - Priyanjali Bukke, Gauri Kamat, Jiahao Cui, Roee Gutman, Martin Slawski
• BuSuCo: A package for business survey coordination - Johannes Straubinger
• The Survey Fieldwork Digital Twin: An R-Based Early-Warning System for Mixed-Mode Official Statistics - Hakile Resulbegoviq, Vuk Čađenović
• The Metadata Quality Assistant (MQA): an R/Shiny prototype for supporting the preparation of SIMS quality reports - Vasiliki Spiliopoulou, Christina Pierrakou, Konstantinos Molfetas