The Computational Institutional Science Lab (CISL) is an international forum engaging scientists and hosting activities focused on the use of computational approaches toward better understanding the institutions (e.g., rules) that govern social systems. Specific aspects of interest include using computational approaches and tools on how these institutions emerge, are designed, implemented, change, and influence behavior. If you are interested in, or are already working on, developing and applying computational methods to study how societies are governed, please come join us at one of our upcoming activities!
The CISL aims at the conceptualization and development of a new field of study called Computational Institutional Science. Broadly conceptualized, Computational Institutional Science combines traditional and recent concepts, theory and methods of institutional analyses with computational tools to foster novel analytical opportunities based on advanced computationally-enabled methods and techniques (e.g., machine-learning, AI, modeling, network analysis) as well as the ability to engage in large-scale processing of empirical data of uniform or diverse structure (e.g., big data). In doing so, computational institutional science enables the generation of new insights into interactions among institutions and behavior.
In support of these objectives, the CISL hosts “CISLrs”, incubator sessions, workshops, and area-of-interest working groups that align with core themes of the CISL research program. The CISL also provides various resources to support scientists in their research, including conceptual and methodological guidance, instructional materials, and a repository of relevant publications.