BlockScience
BlockScience is a company that specializes in engineering, research and development, and analysis of complex systems. They integrate academic research with advanced mathematical and computational engineering to provide design and analysis services to various clients, including for-profit, non-profit, academic, and government institutions. The BlockScience team focuses on data science and computational methods for designing social-technical economic systems, particularly addressing algorithm design problems involving complex human behavior. Their work includes pre-launch design and evaluation of economic business and ecosystem models based on simulation and analysis. They also provide post-launch monitoring and maintenance through reports, analysis, and decision support software. As a hybrid of artificial intelligence and computational social science, the team continues to develop, educate, and apply best practices in economic system engineering.
BlockScience defines and practices a new field called economic system engineering. They apply mathematical engineering techniques to traditional systems engineering methods. They integrate game theory and behavioral economics to contribute to the creation of sound and sustainable ecosystems.
BlockScience thoroughly researches and provides mathematically designed, human-centered solutions, such as automating decision-making processes, identifying systemic risks in business operations, and guiding entry into new business areas.
The BlockScience team has built and open-sourced cadCAD(complex adaptive dynamics Computer-Aided Design), a Python-based modeling framework for researching, validating, and computer-aided design of complex systems. Whether it's iterating on new business models or designing smart contract logic on the blockchain, the framework allows for simulating, testing, and validating ideas before implementation. It can model systems of various levels of abstraction, from agent-based modeling (ABM) to system dynamics (SD), and seamlessly integrates the simulation of computational social science with empirical data science workflows. There is a personal research statement written by the founder, Michael Zargham, which can be found here(https://medium.com/block-science/personal-research-statement-b09defefc331). In the statement, he mentions Projects to check and introduces cadCAD as a Python-based integrated modeling framework for probabilistic dynamical systems and differential games. It can model systems of various levels of abstraction, from agent-based modeling (ABM) to system dynamics (SD), and smoothly integrates the simulation of computational social science with empirical data science workflows. The software is currently in private beta, with plans for an open-source release.