Network Science

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

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BlockScience® is a complex systems engineering, R&D, and analytics firm. By integrating cutting-edge research, applied mathematics, and computational engineering, we analyze and design, safe and resilient socio-technical systems.

With deep expertise in Market Design, Distributed Systems, and AI, we provide engineering, design, and analytics services to a wide range of clients, including for-profit, non-profit, academic, and government organizations.

Our team is interdisciplinary, with engineering teams operating in concert with social science and governance research teams of ethnographers and economists. This enables us to provide a more holistic approach to solving algorithm design problems with complex human behavior implications.

BlockScience uses a hybrid of artificial intelligence and computational social science to develop, teach, and apply best practices in economic systems engineering. Our research and development occurs in iterative cycles between open-source research and software development, and application of the research and tools to client projects.

Our client work includes the design and evaluation of economic and governance mechanisms based on research, simulation, and analysis. We also provide post-launch monitoring and maintenance via reporting, analytics, and decision-support software.

With our unique blend of engineering, data science, and social science expertise, the BlockScience team aims to diagnose and solve today’s most challenging frontier socio-technical problems.