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# Clarkson Complex Systems Lab
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*Clarkson University Center for Complex Systems Science (C3S2)*
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We build open tools, models, and research software for **complex systems**, **dynamical systems**, **causal discovery**, **information theory**, and **scientific machine learning**.
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Our work connects theory and computation across nonlinear dynamics, networked systems, and time-series analysis.
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## Team
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- **Kevin Slote** — Maintainer
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Applied mathematics, causal discovery, scientific machine learning, and research software.
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Help / contact: [kslote1@gmail.com](mailto:kslote1@gmail.com)
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Website: [www.kevin-slote.com](https://www.kevin-slote.com)
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- **Jeremie Fish** — Associate Director
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Complex systems, network science, and interdisciplinary research at Clarkson.
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## Featured Project
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### CausationEntropy
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A Python library for discovering causal networks from multivariate time-series data using Optimal Causation Entropy (oCSE).
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- Lab GitHub: [Center for Complex Systems Science](https://github.com/Center-For-Complex-Systems-Science)
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- Featured project: [causationentropy](https://github.com/Center-For-Complex-Systems-Science/causationentropy)
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## What we care about
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- Dynamical systems
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- Complex networks
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- Causal inference from time series
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- Information-theoretic methods
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- Scientific open source
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## Contact
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For help, collaboration, or questions about our tools, reach out to **Kevin Slote** at [kslote1@gmail.com](mailto:kslote1@gmail.com).
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