BlockScience

BlockScience

Research Services

Tempe, Arizona 1,091 followers

A complex systems engineering firm combining research & engineering to design safe & resilient socio-technical systems.

About us

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 Blockchain, Token Engineering, AI, Data Science, and Operations Research, 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 R&D 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 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.

Website
http://block.science/
Industry
Research Services
Company size
11-50 employees
Headquarters
Tempe, Arizona
Type
Privately Held
Founded
2017
Specialties
Model-Based Systems Engineering, Complex Systems Engineering, Operations Research, Economics, Incentives, Mechanism & Market Design, Social Science, Institutional Design, Digital Infrastructure, Digital Civil Engineering, Engineering Methods, Data Infrastructure & Ontology, Risk Management, Cybernetics, Machine Learning, Data Science as a Service, Data Analytics, AI Safety, Modeling / Optimization Modeling / Simulation / Digital Twins, Cloud Computing, Decision Analysis, Network Science, Game Theory, and Data Science

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