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Hybrid Event

5th - 6th August 2026 | Naples, Italy

International Conference on Machine Learning and Social Data Analytics (ICLSDA - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICLSDA) 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 Computational Science,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
Social media data for machine learning
02
Ethics of AI in social data analysis
03
Predictive modeling with social data
04
Machine learning for public health insights
05
Analyzing social trends using big data
06
Data privacy in social data analytics
07
Sentiment analysis in social networks
08
Machine learning applications in education
09
Impact of social data on policy making
10
Collaborative filtering in social data
11
User behavior prediction using analytics
12
Machine learning for community engagement
13
Social network analysis techniques
14
Data visualization for social insights
15
Predictive analytics for social good
16
Challenges in social data integration
17
Real-time analytics for social platforms
18
Machine learning and misinformation detection
19
Cultural implications of social data analytics
20
Future trends in social data research

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.

Submit Your Paper Today Register Early
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.