Hybrid Conferencee

International Conference on Computational Social Science and Network Modeling (ICCSSNM - 26)

3rd - 4th August 2026 | Miami, USA

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Call for Papers Extended:
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Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Miami conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Miami, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Miami."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Computational Social Science

This track focuses on the latest methodologies and frameworks in computational social science. It aims to explore the intersection of social phenomena and computational techniques, emphasizing innovative research outcomes.

Track 02

Network Modeling and Analysis

This session will delve into the theoretical and practical aspects of network modeling. Participants are encouraged to present their findings on network structures, dynamics, and implications for social systems.

Track 03

Machine Learning Applications in Social Networks

This track highlights the application of machine learning techniques to analyze and interpret social network data. Contributions should focus on novel algorithms and their effectiveness in real-world scenarios.

Track 04

Big Data and Social Analytics

This session addresses the challenges and opportunities presented by big data in understanding social behaviors. Papers should discuss data-driven insights and the methodologies employed to extract meaningful patterns.

Track 05

Simulation Techniques in Social Science Research

This track invites discussions on simulation methodologies used to model complex social systems. Contributions should demonstrate how simulation can enhance our understanding of social dynamics and interactions.

Track 06

Digital Humanities and Computational Methods

This session explores the integration of computational techniques within the digital humanities. Papers should focus on how quantitative methods can enrich traditional humanities research.

Track 07

Algorithms for Social Network Analysis

This track emphasizes the development and application of algorithms tailored for social network analysis. Participants are encouraged to share innovative approaches that enhance our understanding of social connectivity.

Track 08

Predictive Analytics in Social Science

This session focuses on the use of predictive analytics to forecast social trends and behaviors. Contributions should highlight methodologies and case studies demonstrating the impact of predictive modeling.

Track 09

Quantitative Methods in Social Research

This track aims to showcase the application of quantitative methods in various social science domains. Papers should discuss statistical techniques and their relevance in empirical research.

Track 10

Optimization Techniques in Data Science

This session explores optimization methods and their applications within data science frameworks. Contributions should focus on enhancing computational efficiency and effectiveness in data-driven decision-making.

Track 11

Complex Systems and Social Dynamics

This track investigates the principles of complex systems theory as applied to social dynamics. Papers should explore how these principles can inform our understanding of societal interactions and structures.