Hybrid Conference (In Person / Virtual)

International Conference on Machine Learning and Social Data Analytics (ICLSDA - 27)
11th - 12th February 2027 , Kitchener, Canada
** Important Notice      Beware of fraudulent emails and calls impersonating IIRD Conference to collect conference and journal fees. Ensure all payments are processed only through our official event website. Report suspicious activity to [email protected].

Call For Papers

The ICLSDA provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Computational Science, Data Science, encouraging participation from emerging researchers and fostering academic growth.

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

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.