The 40th ACM/SIGAPP Symposium On Applied Computing (SAC2025) -
Artificial Intelligence for Financial Domain (AIFD)
March 31 - April 4, 2025 in Sicily, Italy
https://acm-sac-aifd.dieti.unina.it/
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Overview
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In the last decade, the increasing amount of data produced in the financial sector has focused the attention of scholars and practitioners on their application, using Big Data Analytics techniques and Artificial Intelligence (AI) models to address interesting economic questions. These analyses are increasingly used in the finance sector to deal with, but are not limited to, the following issues: (i) the actual economic problem involves lots of variables; (ii) the impact of the variables is highly nonlinear or involves interaction terms among the variables (high dimensionality of function class); and (iii) forecasting is economically more important than statistical inference.
To address several open research issues regarding the analysis of the financial domain, this track aims at soliciting contributions highlighting challenges, state-of-the-art, and solutions to a set of currently unresolved key questions to model complex interactions and relations, and their dynamics and impact on big financial data analytics and complex financial behaviors across financial markets, regulation, and risk management.
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Topics of interest
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Topics of interest for ACM SAC2025 - AFID include but are not limited to:
- Graph representation learning, mining learning on graph structures from financial data;
- Social Network Analysis for supporting financial applications (e.g., Stock Forecasting, Credit Score, Portfolio Optimization, Robot Advisor, Trading);
- Application of Large Language Models (LLMs) to analyze unstructured information for supporting financial applications (e.g., Stock Forecasting, Credit Score, Portfolio Optimization, Robot Advisor, Trading);
- Multi-modal models for supporting financial applications (e.g., Stock Forecasting, Credit Score, Portfolio Optimization, Robot Advisor, Trading);
- Modeling natural, online, social, economic, cultural, and political factors in finance;
- Environmental, social, governance (ESG) event discovery, evaluation, and impact assessment;
- Anomaly Detection in financial data to support different applications;
- Representation learning, natural language processing, and time series prediction in financial domain;
- Multi-agent systems and game-theoretic analysis of financial domain;
- Security, and privacy of AI & ML systems in the financial domain;
- eXplainable Artificial Intelligence (XAI) methodologies in the financial domain.
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Important Dates
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- Paper submission deadline: September 20, 2024
- Notification of acceptance: October 30, 2024
- Camera-ready submission: November 29, 2024
- Registration Deadline: December 6, 2024
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Submission Guidelines
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Authors are invited to submit English-language research and application papers representing original, previously unpublished work. Duplicate submissions are not allowed. Papers must be submitted as a single PDF document, via the Easychair system.
Submissions must conform to ACM format and should not exceed 8 pages with the option for up to 2 additional pages. Each paper will be double-blindly reviewed by at least three reviewers; this is an ACM requirement as SAC is a "Refereed Conference". Please adhere to this requirement when you prepare for your paper. Double-blindly means that the author of a paper does not know the reviewers of his/her paper and reviewers do not know the authors of the papers they reviewed.
One author of an accepted paper must register to SAC 2025 to have the paper published. Each accepted paper must be presented at the conference by one of the authors.
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Track Chairs
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Giancarlo Sperlì, University of Federico II Napoli, Italy
Fabio Mercorio, University of Milano-Bicocca, Italy
Tanmoy Chakraborty, Indian Institute of Technology Delhi (IIT-Delhi), India
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Giancarlo Sperlì, Ph.D.
Tenured Assistant Professor (RTD-B),
University of Naples "Federico II",
Room 3.21 Building 3/A,
Via Claudio 21,
80125 Napoli
Phone: (+39) 081-7683849
Mail: giancarlo.sperli@unina.it <mailto:giancarlo.sperli@unina.it>
Mail: giancarlo.sperli@consorzio-cini.it <mailto:giancarlo.sperli@consorzio-cini.it>
WWW: http://wpage.unina.it/giancarlo.sperli/
PICUSLab: https://picuslab.dieti.unina.it/
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