Hybrid Conference (In Person / Virtual)

International Conference on Computational Social Science and Network Modeling (ICCSSNM - 27)
26th - 27th March 2027 , Toronto, Canada
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Call For Papers

The ICCSSNM 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
Computational methods in social science
02
Network modeling techniques for social data
03
Big data analytics in social research
04
Machine learning applications in social sciences
05
Social network analysis and visualization
06
Ethics in computational social science
07
Data-driven approaches to social issues
08
Impact of social media on society
09
Interdisciplinary research in social sciences
10
Predictive modeling in social behavior
11
Challenges in social data collection
12
Case studies in computational social science
13
Real-time analysis of social networks
14
Data privacy concerns in social research
15
Social dynamics and computational modeling
16
Role of AI in understanding social phenomena
17
Collaborative tools for social science research
18
Future trends in computational social science
19
Quantitative methods in social research
20
Data sharing and collaboration in social sciences

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.