Collective Intelligence in Active and Living Matter
FOCUS · MAR-M59 · ID: MAR-M59
Presentations
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Manu Prakash
Invited-In-person · Invited
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Presenters
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Manu Prakash
- Stanford University
Authors
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Manu Prakash
- Stanford University
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Emergent collective behavior in humans playing online games
Oral-In-person
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Presenters
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Erin Teich
- Wellesley College
Authors
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Rachael Skye
- Wellesley College
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Younes Strittmatter
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Markus Spitzer
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Erin Teich
- Wellesley College
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Emergent Collective Behavior in Multi-Agent Reinforcement Learning with Diverse Attitudes
Oral-In-person
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Presenters
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Miguel Ruiz-Garcia
- Universidad Complutense de Madrid
Authors
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Samuel Liebana
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Samuel Lozano Iglesias
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Nishil Patel
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Miguel Ruiz-Garcia
- Universidad Complutense de Madrid
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Andrew Saxe
- University College London
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The structure of a honeybee swarm
Oral-In-person
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Presenters
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Danielle L. Chase
- University of Colorado Boulder
Authors
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Danielle L. Chase
- University of Colorado Boulder
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Matthew Harper
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Orit Peleg
- University of Colorado, Boulder
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Emergent collective motility in sea sponge cell aggregates
Oral-In-person
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Presenters
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William Crockett
- Massachusetts Institute of Technology
Authors
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William Crockett
- Massachusetts Institute of Technology
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Tom Burkart
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Nikta Fakhri
- Massachusetts Institute of Technology
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Cell monolayers as computing networks: predicting collective migration and pattern formation
Oral-In-person
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Publication: Bandil, P., Geisler, A., Leclech, C., Barrasa-Ramos, S., Barakat, A. I., & Vernerey, F. J. (2025). A Morphodynamic Network Model to Describe Cell Organization and Nematic Ordering in Monolayers. bioRxiv. https://doi.org/10.1101/2025.07.21.666048v2
Presenters
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Ari Geisler
- University of Colorado, Boulder
Authors
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Ari Geisler
- University of Colorado, Boulder
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Prakhar Bandil
- University of Colorado, Boulder
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Abdul Barakat
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Franck Vernerey
- University of Colorado, Boulder
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Programmable spatiotemporal chemical computers powered by temperature gradient
Oral-In-person
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Presenters
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Daichi Hayakawa
- California Institute of Technology
Authors
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Daichi Hayakawa
- California Institute of Technology
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Eric Segrest
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Salvador Buse
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Martin Holmes
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Lulu Qian
- Caltech
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Erik Winfree
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Robotic swarms can pull their weight to cluster or flock
Oral-In-person · Withdrawn
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Publication: https://www.pnas.org/doi/full/10.1073/pnas.2502211122
Presenters
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Mathias Casiulis
- New York University (NYU)
Authors
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Mathias Casiulis
- New York University (NYU)
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Eden Arbel
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Charlotte van Waes
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Yoav Lahini
- Tel Aviv University
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Stefano Martiniani
- New York University (NYU)
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Naomi Oppenheimer
- Tel Aviv University
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Matan Yah Ben Zion
- Tel Aviv University
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Mechanically Intelligent Membrane-bound Active Ensemble
Oral-In-person
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Presenters
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Jiyeon Maeng
- Georgia Institute of Technology
Authors
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Jiyeon Maeng
- Georgia Institute of Technology
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Simon Gage
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Naitik Mundra
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Manukiran Mocharla
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Shengkai Li
- Princeton University
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Todd Murphey
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Daniel Goldman
- Georgia Institute of Technology
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A Unified Scientific Framework, Beyond Topology: Visoelectric, Plastic, Active and Self-Propelled Material Unification
Oral-In-person
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Publication: One focusing on AI modeling for neural systems based on first-principle analysis.
Presenters
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Madison Newell
- Embry-Riddle Aeronautical University, Daytona Beach
Authors
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Madison Newell
- Embry-Riddle Aeronautical University, Daytona Beach
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Spontaneous Emergence of Run-and-Tumble-Like Dynamics in a Robotic Analog of Chlamydomonas
Oral-In-person · Withdrawn
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Publication: Spontaneous Emergence of Run-and-Tumble-Like Dynamics in a Robotic Analog of Chlamydomonas: Experiment and Theory. Phys. Rev. Lett. 135, 168301 (2025). DOI: https://doi.org/10.1103/7hcf-p1yk
Presenters
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Somnath Paramanick
- Indian Institute of Technology Bombay
Authors
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Somnath Paramanick
- Indian Institute of Technology Bombay
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Umashankar Pardhi
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Harsh Soni
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Nitin Kumar
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Reservoir Computing with Active Matter Systems
Oral-In-person
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Publication: Gaimann, M. U., & Klopotek, M. (2025). Robustly optimal dynamics for active matter reservoir computing. ArXiv. http://arxiv.org/abs/2505.05420
Gaimann, M. U., & Klopotek, M. (2025). Optimal information injection and transfer mechanisms for active matter reservoir computing. ArXiv. https://arxiv.org/abs/2509.01799
Gaimann, M. U., Huber, E., Egenlauf, P., & Klopotek, M. (2025). Coarse-Graining and Readout Optimization in Active Matter Reservoir Computing (Working Title / Manuscript in Preparation).
Romero Castillo, Á., Gaimann, M. U., & Klopotek, M. (2025). Robustness Analysis of Active Matter Reservoir Computing and Baseline Methods (Working Title / Manuscript in Preparation).
Lau, G., Gaimann, M. U., & Klopotek, M. (2025). Reservoir Computing with Mobile Kuramoto Oscillators (Working Title / Manuscript in Preparation).
Gaimann, M. U., Lau, G. E., Romero Castillo, Á., Kröninger, H., Huber, E., Flach, A.-I., Schulz, L. J., Roth, J., Saidi, Y., Hemminger, J., Gern, M., Edelmaier, C., Blackwell, R., & Klopotek, M. (2025) ResoBee: A Software Framework for Reservoir Computing with Active Matter (Working Title / Manuscript in Preparation).Presenters
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Mario U. Gaimann
- University of Stuttgart
Authors
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Mario U. Gaimann
- University of Stuttgart
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Miriam Klopotek
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Nanotopographic ridges align epithelial sheet migration and preserve local clonal mixing
Oral-In-person
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Presenters
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Lin Zhao
- University of Maryland College Park
Authors
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Lin Zhao
- University of Maryland College Park
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Shuyao Gu
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Samuel Rosemore
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Kashmyr Dalang
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Nicholas Lockhart
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John Fourkas
- University of Maryland College Park
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Wolfgang Losert
- University of Maryland College Park
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