Data Science and Analytics for Decision Support Workshop
Workshop on Data Science and Analytics for Decision Support will be held within the scope of the iSCSI – International Conference on Industry Sciences & Computer Science Innovation.
Workshop Chair
Jorge Duque, ISLA – Polytechnic Institute of Management and Technology, Portugal
Workshop Description
Data Science and Analytics for Decision Support
October 29 to 31 2024, Lisbon, Portugal
Papers accepted by the workshop will be published in Elsevier as a Procedia Computer Science series volume (which series are indexed by Scopus and Clarivate Conference Proceedings Citation Index – Web of Science (former ISI Thomson) and will be available on Sciverse ScienceDirect.
Moreover, the extended versions of all accepted papers will be invited to enhance their manuscripts for inclusion in a book of chapters or a journal.
The main goal of the Data Science and Analytics for Decision Support Workshop is that researchers, professionals, and students can explore the business and social transformations that Big Data brings, as, innovatively and immediately, it allows for conducting business and supporting decision-making. It is important to understand the importance and value of Big Data due to the interaction between factors in different areas, such as social, technical, economic, and environmental. Also, we must highlight the interrelationship between the different actors in a Big Data ecosystem, like the academy, the private sector, public associations, and civil society.
It is a great pleasure to invite you to submit your work to iSCSI 2024 – International Conference on Industry Sciences and Computer Science Innovation.
Workshop Topics and Areas of Interest
- Big Data Analytics
- Data-driven competitive advantage
- Big Data enabled organizational capabilities
- Big Data strategic alignment
- Organizational learning and innovation from big data Analytics
- Big Data and its impact on business strategy-formulation
- Leveraging big data for social innovation and entrepreneurship
- Human resource management in the data-driven Enterprise
- How Big Data shapes strategy and decision making
- Big Data digital business models
- Big Data and the dynamics of societal change
- Big Data for Social Good
- The role of big data in social innovation
- Proactive strategy formulation from Big Data Analytics
- Data and text mining for business analytics
- Behavioral and Recommender Systems Analytics
- Data quality improvement for business analytics
- Application of Big Data to address societal challenges
- Quantitative & Qualitative Methods
- Machine Learning and Big Data
- Big Data and Data Mining
- Predictive modeling
- Digital operations and Supply Chain Management
- Optimization models
- Expert Systems
- Decision under uncertainty
- Knowledge Management
- Multi-criteria Systems
- Fraud Detection and Prevention
- Insurance Fraud
- Risk Assessment and Analysis
Workshop Scientific Committee
- José Vasconcelos, Lusofona University, Portugal
- Luis Borges Gouveia, University Fernando Pessoa, Portugal
- Frederic Boy, Swansea University, UK
- Domingos Santos Martinho, ISLA Santarém, Portugal
- Ricardo Ângelo Rosa Vardasca, ISLA Santarém, Portugal
- Usama I. Bajwa, COMSATS University Islamabad, Pakistan
- Vitor de Jesus Filipe, University of Trás-os-Montes e Alto Douro, Portugal
- Alexandre Gomes da Silva, Polytechnic Institute of Coimbra, Portugal
- António Trigo, Polytechnic Institute of Coimbra, Portugal
- Joana Leite, Polytechnic Institute of Coimbra, Portugal
- Ricardo Colomo-Palacios, Østfold University College, Norway
- José Alberto Baere de Faria Campos Neves, Higher Institute of Douro and Vouga, Portugal
- Maria do Carmo Freitas, Federal University of Paraná, Brasil
- António Lencastre Godinho, ISLA-Polytechnic Institute of Management and Technology, Portugal
- Rogério Ramalho, Federal University of São Carlos, Brasil
- Ana Paula Guimarães, ISLA-Polytechnic Institute of Management and Technology, Portugal
- Vincent Botti, University Politècnica de València, Spain
- Firmino Oliveira da Silva, ISLA-Polytechnic Institute of Management and Technology, Portugal
- Angelo Costa, University of Alicante, Spain
- Jorge Pereira Duque, ISLA-Polytechnic Institute of Management and Technology, Portugal
Important dates
- Deadline for paper submission: June 15, 2024
- Notification of acceptance/rejection: July 15, 2024
- Revised Version / Camera Ready: August 15, 2024
- Conference: October 29, 30, and 31, 2024
Submission Procedure
Please use the following link to submit your paper:
Submit workshop paper
Paper format
Manuscripts must be written in English. Each manuscript should not exceed the maximum number of pages predefined for each submission type, considering the format available:
Paper templates and guidelines.