In recent years, the popularity of generative AI, including ChatGPT, has had a huge impact on machine learning and the fields that use it. The field most affected is undoubtedly natural language processing, but the ripple effect is spreading to other fields that deal with data. For example, in robot control research, generative AI is used to generate commands for robots. Generative AI is also becoming a presence that cannot be ignored in the fields of finance and economics. In particular, in recent years, there has been an increase in economic analysis research targeting text, and language models such as BERT have begun to be used in these studies. Given this, it is only a matter of time before generative AI is used as the next trend.

CIFEr is an international conference that has long focused on the application of information technology to finance and economics. Given this technological trend, we expect a large number of research papers on the application of these new technologies to finance to be presented at CIFEr. In addition, there are an increasing number of cases where alternative data, data that have not been used before, are applied to financial economics, and new technologies are required to process these data.

We expect the papers presented at the conference to include research on the use of data that has yet to be used before, as well as research on the application of new computer intelligence technologies, including generative AI, to the fields of finance and economics. In addition, there is a growing body of research that combines generative AI with long-standing technologies, such as multi-agent combinations, and we look forward to this type of challenging research.

Topics of Interest

    Computational Intelligence Areas, Models, and Applications:
        Machine Learning in Finance
        Large Language Model
        Big Data Finance and Economics
        Neural Networks
        Deep Learning Models in Finance
        Data Mining
        Text Mining
        Probabilistic Modeling/Inference
        Fuzzy Sets, Rough Sets, & Granular Computing
        Intelligent Trading Agents
        Trading Room Simulation
        Time Series Analysis
        Non-linear Dynamics
        Financial Analytics
        Financial Data Mining
        Evolutionary Computation
        Digital Financial Reporting
        Semantic Web and Linked Data
        Multi-objective Optimisation
        Agent Based Modelling and Simulation
        Co-evolutionary Techniques
        Artificial Life
        Evolutionary Game Theory
        Particle Swarm Optimisation
        Cognitive Systems
        Recommendation
        Modelling and Problem Representations
        Operators
    Application Areas: Finance:
        Asset allocation strategies
        Trading systems
        Algorithmic trading
        Trade execution systems
        Risk management
        Pricing of structured securities
        Behavioural finance
        Evolutionary finance
        Portfolio optimisation
        Arbitrage
        Exotic options
        Cryptocurrencies
        Blockchain and applications
        Front and back office operations
        Financial prediction and forecasting
    Application Areas: Economics:
        Agent based computational economics
        Market modelling
        Energy and electricity markets
        Blockchain economics
    Application Areas: Business:
        Business analytics
        Recommender systems
        E-commerce
        Advertising and marketing
        Crowds and market models
        Demand forecasting
        Distribution and supply chain