4th IFC Workshop on Data Science in Central Banking
Background
The BIS Irving Fisher Committee on Central Bank Statistics (IFC ) is organising recurrent workshops on “Data science in central banking” with a broad audience of practitioners and technicians to review the ongoing adoption of data analytics and business intelligence techniques and developments in the big data ecosystem. The main objective is to showcase projects and share experience that can help to develop in-house knowledge and reduce the reliance on external services providers.
The 2023 workshop, co-organised with the Bank of Italy (BoI ), will bring together central banks, international organisations, national statistical offices and other interested stakeholders and will focus on data sharing and access. It will take place in person in Rome on 18-20 February 2025 (with possibility of virtual participation for non‐presenters).
Workshop
The BIS Irving Fisher Committee on Central Bank Statistics (IFC) is delighted to announce its upcoming 4th workshop on “Data Science in Central Banking,” co-hosted with the Bank of Italy (BoI). For this workshop particular emphasis is placed on the exploration of generative Artificial Intelligence (AI) and its potential applications in central banking.
This event aims to gather a diverse audience of practitioners, specialists, and interested stakeholders from central banks, international organisations, national statistical offices, and beyond.
The workshop, taking place in Rome on 18-20 February 2025, will be held in person with the option of virtual participation for non-presenters. Our primary objective is to highlight ongoing projects and exchange experiences that can help foster in-house expertise and lessen reliance on external service providers. Projects with replicable code that is open source or sharable between authorities will be particularly appreciated.
Areas of particular interest
- Generative AI methods and applications in central banking
- Leveraging cloud computing and advanced data analytics techniques
- Open-source software for official statistics, eg https://www.sdmx.io/
- Open-source software for data analysis
- Data lakes vs Data meshes architectures
- Open data use cases, Secure Multiparty computation, access and policies
- Addressing data privacy and security concerns in data-driven environments
Workshop Outcomes
Workshop Proceedings: Agenda , Presentations
