Overview
The Complex Networks 2025 conference is set to take place in Binghamton, New York, from December 9 to 11, 2025. This event is a significant gathering for researchers and practitioners in the field of network science, computational social science, and machine learning on graphs. Participants can expect a rich program that includes tutorials, keynote speeches, and various sessions that delve into the latest advancements and applications in these areas.
Background & Relevance
Network science is an interdisciplinary field that studies complex networks, which are structures made up of interconnected nodes. This area of research is crucial for understanding various phenomena in social, biological, and technological systems. The integration of machine learning techniques with network analysis has opened new avenues for insights and applications, making conferences like Complex Networks 2025 essential for fostering collaboration and innovation in the community.
Key Details
- Dates: December 9-11, 2025
- Location: Binghamton, New York, USA
- Tutorials: December 8, featuring topics such as:
- Toward a Quantitative Understanding of Failure by Yian Yin (Cornell University)
- Networks, Shapes, Maps, and More by Brennan Klein (Northeastern University)
- Keynote Speakers:
- Kimberley Glass (Harvard Medical School): Network Modeling for Precision Medicine
- Mark Newman (University of Michigan): Networks and Ranking in Sports, Markets, and Society
- Michelle Girvan (University of Maryland): Meta-Learning with Reservoir Networks: Forecasting Complex Systems from Limited Data
- Luis Bettencourt (University of Chicago): The Networks of Cities: From Complex Infrastructure to Human Development
- David Stark (Columbia University): “This is not a Test!”: Testing After Preparedness
- Program Access: Download the program
- Registration Link: Register now
Eligibility & Participation
The conference is aimed at researchers, practitioners, and students interested in network science and its applications. It provides a platform for sharing knowledge, networking, and exploring new ideas in the field.
Submission or Application Guidelines
Participants are encouraged to register for the conference through the provided link. The program includes various formats such as oral presentations, lightning talks, and poster sessions, allowing for diverse participation.
Additional Context / Real-World Relevance
The study of complex networks has significant implications across various domains, including social networks, biological systems, and infrastructure. As the world becomes increasingly interconnected, understanding these networks is vital for addressing complex challenges in society, technology, and health. The insights gained from such conferences contribute to the advancement of knowledge and the development of innovative solutions.
Conclusion
Complex Networks 2025 promises to be an inspiring event that brings together experts from different fields to discuss and explore the latest trends in network science. Researchers and practitioners are encouraged to participate, share their insights, and engage with the community. Don’t miss this opportunity to be part of a collaborative and forward-thinking environment.
Category: Conferences & Workshops
Tags: network science, machine learning, computational social science, Binghamton, tutorials, keynote speakers, graph theory, data analysis
