Hybrid Conferencee

International Conference on Data Science Applications in Finance and Risk Modeling (ICDSAFRM - 26)

12th - 13th December 2026 | Kumasi, Ghana
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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 Kumasi. 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 Kumasi 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 Kumasi conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Kumasi, 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 Kumasi."
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

Predictive Analytics in Financial Decision Making

This track focuses on the application of predictive analytics techniques in finance, emphasizing their role in enhancing decision-making processes. Contributions exploring novel algorithms and methodologies for financial forecasting are particularly encouraged.

Track 02

Machine Learning Techniques for Risk Assessment

This session will delve into the integration of machine learning methodologies in assessing and managing financial risks. Papers that demonstrate innovative applications of these techniques in real-world scenarios are welcome.

Track 03

Statistical Methods for Financial Data Analysis

This track aims to explore advanced statistical methods used in the analysis of financial data. Submissions should highlight the effectiveness of these methods in deriving insights and informing financial strategies.

Track 04

Big Data Analytics in Finance

This session will address the challenges and opportunities presented by big data in the financial sector. Contributions that showcase successful case studies or novel approaches to big data analytics are encouraged.

Track 05

Econometric Models in Risk Modeling

This track invites papers that utilize econometric models to enhance risk modeling practices in finance. Emphasis will be placed on innovative applications and theoretical advancements in econometrics.

Track 06

Algorithms for Financial Forecasting

This session will focus on the development and application of algorithms specifically designed for financial forecasting. Researchers are encouraged to present their findings on algorithmic performance and predictive accuracy.

Track 07

Data Mining Techniques in Financial Analysis

This track explores the role of data mining techniques in extracting valuable insights from financial datasets. Papers that demonstrate the practical implications of these techniques in finance are particularly welcome.

Track 08

Quantitative Methods in Risk Management

This session will highlight the application of quantitative methods in the field of risk management. Contributions that provide empirical evidence or theoretical advancements in this area are encouraged.

Track 09

Artificial Intelligence in Financial Services

This track examines the transformative impact of artificial intelligence on financial services, including its applications in risk assessment and customer analytics. Researchers are invited to share their insights and innovative applications.

Track 10

Forecasting Techniques for Market Trends

This session will focus on forecasting techniques that aid in understanding and predicting market trends. Contributions that integrate various methodologies and provide empirical validation are highly encouraged.

Track 11

Risk Analysis Frameworks in Finance

This track invites discussions on the development and application of risk analysis frameworks within the financial sector. Papers that propose new frameworks or enhance existing ones with empirical evidence are particularly welcome.