Complex Systems Engineering
Research & Development
Clients and Collaborators
Domains of expertise
Smart Systems for a Changing World
BlockScience® is a systems engineering firm that operationalizes emerging technologies for high reliability organizations. We partner with organizations in healthcare, energy, finance, and government to develop and integrate new capabilities while maintaining reliable operations. Operationalization doesn’t end with due diligence and procurement; it includes integration, calibration and validation. Our R&D practice goes beyond exploration: We operationalize emerging technologies within our own organization first, in order to differentiate between impressive demonstrations and practical solutions. This hands-on experience, combined with rigorous engineering discipline, enables us to cut through hype and provide honest assessments of organizational readiness and technological fitness-for-purpose. We support accountable executives with responsibility for making complex technologies work within their operational constraints, ensuring that people, processes, and tools function together reliably.
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.
NEWS & UPDATES
Engineering Solutions for the Digital Age
Digital TWINS
Meet cadCAD, your digital twin for systems modelling
cadCAD is an open-source Python package to assist with designing, testing, and validating complex systems through simulation. By creating digital twins, teams can simulate the impact that a set of actions might have, make informed decisions, and refine designs before implementation.
