Data science in central banking

Committee, Irving Fisher

Data science in central banking

Irving Fisher Committee

No 67 in IFC Bulletins from Bank for International Settlements

Date: 2026 Written 2026-03
ISBN: 978-92-9259-936-2
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Chapters in this book:

A foundational model for macroeconomic times series forecasting and nowcasting: Batuhan Koyuncu, Byeungchun Kwon, Marco Lombardi, Fernando Perez-Cruz and Hyun Song Shin
A natural language processing toolbox for the National Bank of Romania: Claudia Voicila and Daniel Serbu
A novel multi-step prompt approach for LLM-based Q&As on banking supervisory regulations: Daniele Licari, Canio Benedetto, Daniele Bovi, Alessandro De Gregorio, Marco De Leonardis, Praveen Bushipaka and Tommaso Cucinotta
AI-driven legal summarization for financial regulation monitoring: Diana Lopez Aviles and Isidora Diaz Jorquera
BankGPT: the use of large language models in official communications: Claudia Biancotti, Carolina Camassa, Marco Fruzzetti, Luigi Palumbo and Myriam Portaluri
Closing remarks: Paolo Angelini
Data anonymization principles at Banco de Portugal: Ana F Carvalho, Francisco Fonseca, Mario Lourenco and Ricardo Marques
Data science: the role of statisticians: Elisabetta Carfagna
Efficacy of AI RAG tools for complex information extraction and data annotation tasks: a case study using banks' public disclosures: Nicholas Botti, Flora Haberkorn, Charlotte Hoopes and Shaun Khan
Enhancing external debt nowcasting: a data-driven approach using advanced analytics: Candra Puspita Dewi, Aditya Wisnugraha Sugiyarto and Sony Panji Wicaksono
Extracting economic issues from news data: with the help of generative AI: Younghwan Lee
Forecasting influenza-like illness in Italy using Wikipedia: a principal components regression approach: Gianluca Mura
From CPU to GPU: comparison of parallel computing techniques for numerical solutions: Maxim Ralchenko, Oleksandr Shcherbakov and Kim Huynh
From text to insights: AI-based topic modeling for central banking applications: Marlena Pietsch, Diana Sola, Felix Marx, Michaela Vollmer and Babak Zandi
Gen AI in action: transforming data use in suptech: Patrick Hoffmann, Maha El Dimachki, Sivasubramanian Ramanathan, Kenneth Gay and Harry Lee
Gen AI in payments: secure synthetic data and more: Ajit Desai, Colin Jones and Masoud Nasari
Generalised weighted framework for synthetic data evaluation: Chiung Ching Ho
Generative artificial intelligence in central banking: Douglas Kiarelly Godoy de Araujo, Giuseppe Bruno, Adam Cap, Juri Marcucci, Rafael Schmidt, Olivier Sirello and Bruno Tissot
IFC survey on central banks' use of AI and ML: Alberto Naudon
Indexing and visualization of climate narratives using BERT and causal extraction: Noriyasu Kaneda and Hiroki Sakaji
Innovation project: large language model adaptation at Latvijas Banka: Martins Liberts and Rihards Ostrovskis
Istanbul electricity demand forecast with artificial neural networks: Hayriye Yasak Ozkal, Buse Kaylan, Meltem Sipahi and Muammer Altan Cakir
Leveraging generative AI for granular credit data utilization: a multi-agent approach: Nontawit Cheewaruangroj, Kawinwish Laobundit, Peranut Nimitsurachat, Supachai Saengthong, Skunpoj Thanarojsophon and Anak Yodpinyanee
Metadata integration as a key enabling technique for AI and ML: Thomas Gottron and Daniel Suranyi
Opening remarks: Alberto Naudon
Project Neo: gaining economic insights with AI and novel data: Rachel Arulraj-Cordonier, Marko Nanut Petric and Flurina Strasser
Read between the headlines: can news data predict inflation?: Alan Chester Arcin, Ma Ellysah Joy Guliman, Genna Paola Centeno, Jacqueline Margaux Herbo, Sanjeev Parmanand and Cherrie Mapa
Regression on encrypted datasets using fully homomorphic encryption: Adriano Baldeschi, Giuseppe Bruno, Mohammad Raeini, Paul Master and Vineet Chadha
SDMX chatbot: a trustworthy assistant to navigate the SDMX documentation: Samuel Melm and Brian Buffett
SDMX enabled users' processes at the Bank of Italy: Attilio Mattiocco and Valentino Pinna
sdmx.io: where tools and learning resources come together to address official statistics use cases: Douglas Araujo and Brian Buffett
Supporting users in seeking data on the ECB data portal: a use case for retrieval augmented generation: Luca Petracca, Simone De Benedictis, Thomas Gottron and Zlatina Hofmeister
Tailoring small language models for enterprise use cases: Julien Simon
The impact of monetary surprises on exchange rates: results from textual and high-frequency analysis: Jean-Charles Bricongne and Louis Marolleau
The monetary policy statement database: Cory Baird, Jonathan Benchimol, Vira Vyshnevska, Wook Sohn and Iegor Vyshnevskyi
Transforming survey analysis: tools for central banks: Nicholas Gray and Dominic Jones
Turbulent times: capturing social unrest in the news: Sydney Eck, Flora Haberkorn, April Patel, Zach Proom and Abhinuv Uppal
Using retrieval-augmented generation (RAG) and LangChain to drive chatbots for interactive economic data analysis and insight: Seah Boon Keong, Eilyn Chong and Max Chew
What skills are employers looking for? Applying generative AI to Danish job postings: Per Andersen and Erik Grenestam

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