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Hybrid Event

7th - 8th October 2026 | Serrekunda, Gambia

International Conference on Computational Data Analysis and Modeling Techniques (ICCDAMT - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICCDAMT) 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 Data Science, 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
Computational techniques for data analysis
02
Modeling approaches in data science applications
03
Big data analytics and computational methods
04
Machine learning algorithms for data modeling
05
Data visualization techniques for analysis
06
Statistical methods in computational data analysis
07
Challenges in real-time data modeling
08
Interdisciplinary approaches to data analysis
09
Future trends in computational data techniques
10
Case studies on successful data modeling
11
Ethics in data analysis and modeling
12
Innovative computational tools for data science
13
Data mining techniques for large datasets
14
Impact of AI on data analysis methods
15
User-centric design in data analysis tools
16
Applications of computational methods in business
17
Security considerations in data analysis
18
Frameworks for evaluating data modeling approaches
19
Collaborative data analysis techniques
20
Real-world applications of computational data analysis

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.