Pre-Enrollment

10th November 2026

Final Paper Submission

15th November 2026

Registration Deadline

25th November`2026

Conference Date

10th Dec - 11th Dec 2026

Call for Papers

The International Conference on Machine Learning and Social Data Analytics invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Computational Science,Data Science, the conference aims to bridge theoretical advancements with real-world applications.

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
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review