International Conference on Mathematical ,Computational Sciences and Management

ICMACOSCMA

23rd Sep – 24th Sep 2026 Ilheus, Brazil

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Access to All Conference Sessions

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Registration Summary

Conference ICMACOSCMA

Date 23rd Sep – 24th Sep 2026

Location Ilheus, Brazil

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advanced Statistical Methods in Business Analytics +

This track focuses on the application of advanced statistical techniques to enhance decision-making in business contexts. Participants will explore methodologies such as predictive modeling, time series analysis, and multivariate statistics.

SDG 8 SDG 9

02 Computational Techniques in Financial Modeling +

This session will delve into computational approaches used in financial modeling, including algorithmic trading and risk assessment. Emphasis will be placed on the integration of computational science with financial theory.

SDG 8 SDG 9

03 Mathematical Optimization in Supply Chain Management +

This track addresses the role of mathematical optimization techniques in improving supply chain efficiency. Topics will include linear programming, network flows, and inventory management strategies.

SDG 9 SDG 12

04 Data Science Applications in Economic Forecasting +

Participants will examine the intersection of data science and economics, focusing on techniques for economic forecasting. The session will cover machine learning models and their implications for policy-making.

SDG 1 SDG 8

05 Statistical Quality Control in Manufacturing +

This session will explore statistical quality control methods and their application in manufacturing processes. Key topics include process capability analysis, control charts, and Six Sigma methodologies.

SDG 9 SDG 12

06 Mathematical Modeling in Healthcare Management +

This track will investigate the use of mathematical modeling to address challenges in healthcare management. Topics will include patient flow modeling, resource allocation, and epidemiological modeling.

SDG 3 SDG 4

07 Computational Methods for Risk Analysis +

This session will focus on computational methods employed in risk analysis across various industries. Participants will learn about simulation techniques, scenario analysis, and decision-making under uncertainty.

SDG 8 SDG 9

08 Statistical Inference in Market Research +

This track will cover statistical inference techniques used in market research to derive insights from consumer data. Topics will include hypothesis testing, confidence intervals, and survey design.

SDG 8 SDG 9

09 Mathematics of Game Theory in Business Strategy +

This session will explore the application of game theory in formulating business strategies. Participants will analyze competitive behaviors and strategic interactions among firms.

SDG 8 SDG 9

10 Computational Intelligence in Decision Support Systems +

This track will examine the role of computational intelligence in enhancing decision support systems. Topics will include artificial intelligence, neural networks, and their applications in business decision-making.

SDG 9 SDG 12

11 Statistical Techniques for Economic Policy Evaluation +

This session will focus on statistical techniques used to evaluate the effectiveness of economic policies. Participants will explore causal inference, regression analysis, and impact assessment methodologies.

SDG 8 SDG 9