Scope

The significant technological changes that took place at different levels in the recent past led to profound changes in most organizations. They understood the value of data, which led to a process of digitization that transformed the ways of working, the tools used, and the installed practices, to revolve around those data.

Paradoxically, while this opens up new opportunities, it also raises many new challenges: organizations must invest in technological and Human resources to not be left behind, they must reshape their teams’ roles, they must adapt processes, and they must be able to deal with large volumes of information and efficiently use them to support decision processes.

One of the sectors undergoing such a profound transformation is that of Financial Services. In this transformation, machine learning algorithms, diverse AI techniques, as well as statistical and information-theoretic methods have become pervasive. Nonetheless, equally important are business requirements, Human factors and Human-computer Interaction techniques.

This workshop therefore aims to be a multidisciplinary forum in which technology experts meet practitioners of the financial sector, to discuss challenges, potential solutions, and future directions. We call for papers that address the increasingly complex and rich area of Intelligent Decision Support Systems applied to Financial Services, in all its different strands, including technical, social, legal and psychological aspects. This includes disciplines such as Artificial Intelligence (in all its different sub-fields), Statistics, Operations Research, Finance or Human-Computer Interaction, and applications such as fraud detection, risk analysis, financial audits or compliance analysis. The intersection point shall be the goal to intelligently support automated, semi-automated or Human decision-making.

We welcome high-quality original research and review articles that cover novel technologies, methods, theoretical developments or implementations of Intelligent Decision Support Systems applied to Financial Services. Papers describing applications, use cases, or case studies in specific domains are also welcome, including (but not limited to) finance, management, fraud detection, risk analysis and management, compliance analysis or insurance.

 

Topics of interest

In order to achieve the objective of this Workshop, we are inviting researchers to contribute with original and previously unpublished works related to Intelligent Decision Support Systems applied to Financial Services. Topics include but are not limited to:

  • Machine Learning
  • Expert Systems
  • Decision under uncertainty
  • Knowledge Management
  • Multi-criteria Systems
  • Human factors and Human-computer Interaction
  • Explainability and Interpretability
  • Risk Assessment and Analysis
  • Fraud Detection and Prevention
  • Insurance Fraud
  • Financial Fraud and e-crime
  • Ethics

 

Paper submission and formatting guidelines

All papers must follow the formatting rules of CISTI’21 and be written in Portuguese, Spanish or English. A MSWord template is available at http://www.cisti.eu/2017/images/templates.zip

A double-blind peer review process will be followed to evaluate the submitted papers. This means that submissions should not include any information that allows for the identification of the authors, including e-mail, affiliation, or references to previous publications of the authors. This information should only be made available in the final version of paper, upon acceptance for presentation and publication. Should the authors need to include one or more references to previous work, this should appear in the bibliography section as “Self Reference”, and be later replaced by the original reference, upon acceptance of the paper.

Papers should be submitted in PDF. However, the final version submitted after acceptance for publication should in MSWord format.

Papers can be submitted at http://www.cisti.eu/2021/oc21/openconf.php

 

Important Dates

Paper submission deadline: 14/02/2021

Acceptance notification: 28/03/2021

Camera-Ready Copy Due: 11/04/2021

Conference: 23/06/2021 – 26/06/2021

 

Organizing Committee

Davide Rua Carneiro

Instituto Politécnico do Porto, Escola Superior de Tecnologia e Gestão

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+351 255 314 002

 

Carla Sofia Gonçalves Pereira

Instituto Politécnico do Porto, Escola Superior de Tecnologia e Gestão

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+351 255 314 002

 

Ricardo Jorge da Silva Santos

Instituto Politécnico do Porto, Escola Superior de Tecnologia e Gestão

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+351 255 314 002

 

Valter Pinho

Petapilot

Instituto Politécnico do Porto, Escola Superior de Tecnologia e Gestão

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José Carlos Castillo

Universidad Carlos III de Madrid

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Program Committee

Fábio Silva – Escola Superior de Tecnologia e Gestão, Instituto Politécnico do Porto, Portugal

Marco Gomes – Escola Superior de Tecnologia e Gestão, Instituto Politécnico do Porto, Portugal

Mariana Carvalho - Escola Superior de Tecnologia e Gestão, Instituto Politécnico do Porto, Portugal

Héctor Alaiz Moretón – Universidad de León, Spain

Markus Schröder - German Research Center for Artificial Intelligence, Germany

Maria Goreti Carvalho Marreiros - Instituto Politécnico do Porto, Instituto Superior de Engenharia do Porto

Cristóvão Sousa - Escola Superior de Tecnologia e Gestão, Instituto Politécnico do Porto, INESC TEC, CIICESI, Portugal

Nelson Duarte - CIICESI/Escola Superior de Tecnologia e Gestão, Instituto Politécnico do Porto, Portugal

Teresa Barros - CIICESI/Escola Superior de Tecnologia e Gestão, Instituto Politécnico do Porto, Portugal

António Lucas Soares – Faculdade de Engenharia da Universidade do Porto / INESC TEC, Porto, Portugal

António Almeida - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, INESC TEC, Porto, Portugal

Rita Yi Man Li - Hong Kong Shue Yan University, Hong Kong

Deimante Teresiene - Vilnius University, Lithuania 

Rebecca Dong - University of South Australia, Australia

Xiao-Guang Yue - European University Cyprus, Cyprus

Vitorino Martins – Faculdade de Economia, Universidade do Porto, Portugal

Diogo Júlio Lobão – Faculdade de Economia, Universidade do Porto, Portugal

Ricardo Bahia Machado - Instituto Superior de Contabilidade e Administração do Porto, Instituto Politécnico do Porto, Portugal

José Fernando da Silva Neto - ISLA - Instituto Politécnico de Gestão e Tecnologia, Portugal

Sofia Cruz Gomes - INESC TEC/ FEUP.