Event Details

Date: June 1st, 2026

Time: 14:00 – 18:30

Satellite Location: Porter Square B, Hyatt Regence Boston/Cambridge

Poster Session: Amesbury Ballroom, Hyatt Regency Boston/Cambridge

Requirement: All attendees must be registered for the NetSci 2026 conference to participate.

Registration: Book your place for the satellite here.

Dinner: Dinner will be held at 19:30 following the satellite at Amelia's Trattoria. Please register to confirm your attendance, as we need a headcount for the restaurant reservation. Each participant covers their own dinner costs.

Organizers: The NSIA satellite is organized by members of the Center for Complex Network Intelligence (CCNI) from Tsinghua University and is sponsored by SparseMind AI

Inquiries: Carlo V. Cannistraci (kalokagathos.agon@gmail.com) and Thomas Adler (thomas0299@gmail.com).

About the Satellite

Artificial intelligence is undergoing a profound conceptual shift, driven by the realization that many of its current limitations stem from architectural and computational assumptions disentangled from the organizing principles of natural intelligent complex connected systems.

NSIA explores how network science can provide foundational insights for next generation efficient and parsimonia AI, moving beyond dense, homogeneous, and gradient-centric models toward architectures grounded in topology, sparsity, dynamics, and local learning rules.

The aims of the satellite are to:

• Articulate the theoretical principles by which network topology, higher-order interactions, and emergent structures can shape computation and learning in artificial systems.
• Showcase recent advances in network-based AI, including models that leverage brain-inspired connectivity, dynamic sparsity, Hebbian-like local rules, network geometry embeddings, and topological self-organization.
• Build a cross-disciplinary dialogue between network scientists, machine learning researchers, neuroscientists, physicists, and theorists, with the goal of identifying the key mechanisms by which natural networks achieve efficiency, adaptability, and intelligence—and translating these mechanisms into new AI frameworks.

By positioning network science as a generative engine for new computational principles, this satellite aims to catalyze a paradigm in which network structure is not only analyzed, but actively engineered as a core driver of artificial intelligence.

#NSIA2026

Invited Speakers (alphabetical order)

Job Opportunities

If you have job openings—internships, postdoctoral positions, tenure-track roles or any other opportunities related to the topics covered by this satellite, please send us the details at kalokagathos.agon@gmail.com and thomas0299@gmail.com. We will be happy to advertise them in our Job Offers section.