Workshop Chair

Jorge Duque, ISLA – Polytechnic Institute of Management and Technology, Portugal
Workshop Description

Data Science and Analytics for Decision Support

March 9, 10, and 11, 2022, Vila Nova de Gaia, Porto, 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 in 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, in an innovative and immediate way, it allows 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, environmental. Also, we must highlight the interrelationship between the different actors in a Big Data ecosystem, like the academy, the private sector, and public associations and civil society.

It is a great pleasure to invite you to submit your work to iSCSI 2022 – 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
Behavioural 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 Important Dates

Deadline for paper submission: December 20, 2021
Notification of acceptance / rejection: January 28, 2022
Revised Version / Camera Ready: February 11, 2022
Conference: March 9, 10, and 11, 2022
Submission Procedure