Complex Systems
for the Real World

We don’t just model systems - we guide their evolution. From digital twins to data-driven governance, our work bridges research and real-world resilience.

Clients and Collaborators
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Domains of expertise
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Smart Systems for a Changing World

At BlockScience, we combine engineering, economics, data science, and ethnography to decode complexity and design smarter systems. Our multidisciplinary domains of expertise form the foundation for creating scalable, adaptive, and human-aligned solutions - from market mechanisms to AI-driven governance.

Market Design

Applied economics focused on the explicit design and structuring of markets to optimize specific objectives such as fairness in resource allocation, efficiency of price discovery, and sustainable value flows.

Systems Engineering

An interdisciplinary field of engineering and engineering management that focuses on how to design and manage complex systems using observation and control to create desired behaviors.

Network Science

An academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks.

Ethnography

A method to gather qualitative data, observe, and reflect to understand stakeholders’ everyday experiences and apply insights to inform the design, governance, operation, and maintenance of systems.

Modelling & Simulation

Computational methods focused on creating digital twins or system representations for analyzing scenarios and projecting and diagnosing system outcomes to inform design and decision-making.

Artificial Intelligence

A field that focuses on data processing, estimation, belief formation, and informed decision-making which complements human intelligence by automating cognitively intensive activities, enhancing the efficiency and effectiveness of organizations.
Our masterpiece
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Meet cadCAD, your digital twin to simulate

An open-source Python framework for modeling complex systems. It supports research, simulation, and validation across domains like economics and governance. By creating digital twins, teams can test and refine ideas before implementation.

Our team
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The Minds Behind the Models of Tomorrow