The international scientific workshop “New Frontiers in Big Data and Artificial Intelligence” (BDAI 2026) is an established scientific event promoted by the Università della Valle d’Aosta. The workshop brings together researchers, academics, and scholars to explore the most advanced topics in artificial intelligence and big data, with the aim of fostering scientific debate, disseminating research, and building a leading academic community at the national and international level.
The workshop is structured into two distinct thematic tracks, each coordinated by a dedicated scientific committee.
Topics of interest include but are not limited to:
TRACK 1: BIG DATA AND ARTIFICIAL INTELLIGENCE IN FINANCE AND FINANCIAL MARKETS
- AI and Big Data in financial decision-making
- Explainability and interpretability of AI models in finance
- AI-driven portfolio optimization and portfolio choices
- Forecasting financial time series with machine learning
- Sentiment analysis and financial markets
- Digital finance and fintech innovation
- AI and Big Data in insurance and actuarial science
- Behavioural finance and AI
- ESG investing and Big Data analytics
- Cryptocurrency markets and AI
- AI and financial markets regulation
TRACK 2: BIG DATA AND ARTIFICIAL INTELLIGENCE IN THE REAL ECONOMY
- AI and Big Data in production processes, manufacturing, and Industry 4.0
- AI in energy systems, renewable energy and smart grids
- AI in tourism
- Supply chain optimization with AI
- AI, Big Data and impacts on labour market dynamics
- Industrial policy and AI
- AI regulation and governance in the real economy
- Macroeconomic forecasting with Big Data
- AI and the development of different /new real-time economic indicators
- AI in healthcare economics and public health
- Connections, impacts between AI / Big Data and economic growth
Selected contributions, chosen through a peer review process, will be presented in plenary and parallel sessions. The authors of accepted papers will have the possibility to deliver a revised short version of their full paper for inclusion in the workshop proceedings.