Hybrid Conferencee

International Conference on Data Science Applications in Business and Finance (ICDSABF - 26)

28th - 29th August 2026 | Barcelona, Spain

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Barcelona. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Barcelona event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Barcelona conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Barcelona, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Barcelona."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advanced Predictive Modeling Techniques

This track focuses on innovative approaches to predictive modeling in business and finance. Participants will explore methodologies that enhance forecasting accuracy and decision-making processes.

Track 02

Machine Learning Applications in Finance

This session will delve into the integration of machine learning algorithms in financial analysis and risk management. Attendees will discuss case studies and practical implementations that demonstrate the efficacy of these techniques.

Track 03

Big Data Analytics for Business Insights

This track emphasizes the role of big data in transforming business strategies and operations. Presentations will highlight analytical frameworks that leverage large datasets for actionable insights.

Track 04

Statistical Methods for Risk Analysis

This session aims to explore various statistical techniques used in assessing and managing financial risks. Discussions will include quantitative risk models and their applications in real-world scenarios.

Track 05

Optimization Techniques in Financial Modeling

This track will cover optimization strategies that enhance financial modeling accuracy and efficiency. Participants will examine algorithms and tools that facilitate optimal decision-making in finance.

Track 06

Data Mining Techniques in Business Analytics

This session will investigate the application of data mining techniques to uncover patterns and trends in business data. Attendees will learn how these insights can drive strategic business decisions.

Track 07

Regression and Classification in Data Science

This track focuses on the application of regression and classification techniques in various business contexts. Participants will discuss methodologies and their effectiveness in predictive analytics.

Track 08

Simulation Methods for Financial Forecasting

This session will explore simulation techniques used for forecasting financial outcomes. Participants will analyze how these methods can improve the reliability of financial predictions.

Track 09

Decision Support Systems in Business Analytics

This track examines the development and implementation of decision support systems that utilize statistical analysis and data science. Discussions will highlight their impact on enhancing business decision-making.

Track 10

Applied Statistics in Business Research

This session will focus on the application of statistical methods in empirical business research. Participants will share insights on how statistical analysis informs business practices and strategies.

Track 11

Emerging Trends in Data Science and Finance

This track will highlight the latest trends and innovations in the intersection of data science and finance. Participants will explore future directions and the implications of these advancements for the industry.