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| title: README |
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| # Clarkson Complex Systems Lab |
| *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 |
| Applied mathematics, causal discovery, scientific machine learning, and research software. |
| Help / contact: [kslote1@gmail.com](mailto:kslote1@gmail.com) |
| Website: [www.kevin-slote.com](https://www.kevin-slote.com) |
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| - **Jeremie Fish** — Associate Director |
| Complex systems, network science, and interdisciplinary research at Clarkson. |
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| ## Featured Project |
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| ### CausationEntropy |
| 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) |
| - 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 |
| - Complex networks |
| - Causal inference from time series |
| - Information-theoretic methods |
| - 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). |
