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Hybrid Event

14th - 15th November 2026 | Hamburg, Germany

International Conference on Data-Driven Mathematical Modeling (ICDDMM - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICDDMM) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Mathematical Modeling, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data-driven approaches in mathematical modeling
02
Machine learning for predictive modeling
03
Statistical analysis in data-driven models
04
Big data applications in mathematical modeling
05
Modeling complex systems with data
06
Data assimilation techniques in modeling
07
Optimization of data-driven models
08
Uncertainty quantification in data-driven models
09
Applications of AI in mathematical modeling
10
Data visualization techniques for modeling results
11
Real-time data-driven decision making
12
Mathematical modeling of social networks
13
Data-driven methods for climate modeling
14
Applications of data mining in modeling
15
Mathematical modeling of financial data
16
Data-driven epidemiological modeling
17
Integration of IoT in mathematical models
18
Data-driven optimization in logistics
19
Mathematical modeling in healthcare analytics
20
Ethical considerations in data-driven modeling

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.