The Center for the Study of Complex Systems supports a diverse body of research. Research specialties of our post-docs and researchers can range from digital currency and social constructs; power laws and fractals; statistical inference in complex networks, to computational philosophy. Below you will find a statement about the research interests of these CSCS members, a link to their lab or personal website, a list of three recent or selected publications as well as a list of any books/book chapters and recent news.
To see a list of faculty by 'fields of study' go to the People page and click the 'Browse: Fields of Study' drop-down near the top right of each page. To search by LSA department, type the department name in the 'Profile Search' box above Fields of Study - ie 'sociology' will return faculty members affiliated with the Sociology Department.
Dr. Grim is a pioneer in the field of computational philosophy. He has a prolific list of publications, videos, and books in the areas of game theory, agent based modelling, epistemic dynamics, chaos, fractals and the semantics of paradox, cellular automata, omniscience, polarization are just of the few topics Professor Grim touches on.
Professor Grim frequently publishes with members of what is now the Computational Social Philosophy Lab (CSPL) - which began as a collaboration between Grim and graduate and undergraduate students who were affiliated with the Complex Systems program. Dr. Grim currently has a new group of undergraduate students he is mentoring.
Disambiguation of social polarization concepts and measures, Aaron Bramson, Patrick Grim, Daniel J. Singer, Steven Fisher, William Berger, Graham Sack & Carissa Flocken The Journal of Mathematical Sociology 2016
Learning to communicate: The emergence of signaling in spatialized arrays of neural nets, P Grim, P St. Denis, T Kokalis - 2002 - journals.sagepub.com
Spatialization and greater generosity in the stochastic prisoner's dilemma
P Grim - BioSystems, 1996
Reflexivity From Paradox to Consciousness Nicholas Rescher and Patrick Grim De Gruyter | 2012
Beyond Sets A Venture in Collection-Theoretic Revisionism Nicholas Rescher and Patrick Grim De Gruyter | 2011
Mind and Consciousness: 5 Questions 2009 edited by Patrick Grim Automatic Press Publishing
The Philosophical Computer - Exploratory Essays in Philosophical Computer Modeling Patrick Grim, Gary Mar, and Paul St. Denis with the Group for Logic & Formal Semantics MIT Press/Bradford Books 1998
The Incomplete Universe Totality, Knowledge, and Truth By Patrick Grim
A Bradford Book MIT Press 1991
Philosophy of Science and the Occult Second Edition Patrick Grim - Editor SUNY Series in Philosophy 1990
Tags: Research; Natural Sciences; Complex Systems; Philosophy; Computational modeling; Patrick Grim
Dr. Newberry develops mathematical and computational theory to understand how the evolutionary process produces form and function in biology and culture. He comes from a background in Physics, Biomathematics and computation with a PhD in theoretical population genetics. He specializes in probability theory, statistical inference and models of ecological and evolutionary dynamics. He has measured constraints on the optimal morphology of circulatory systems and used population-based evolutionary models to explain aspects of how human languages change over time.
Self-similar processes follow a power law in discrete logarithmic space, MG Newberry, VM Savage Physical review letters 122 (15), 158303 2019
Detecting evolutionary forces in language change MG Newberry, CA Ahern, R Clark, JB Plotkin Nature 551 (7679), 223-226 2017
Testing foundations of biological scaling theory using automated measurements of vascular networks MG Newberry, DB Ennis, VM Savage PLoS computational biology 11 (8) 2015
Tags: Mathematical Biology, Statistical and Biological Physics
Dr. Shaw's research focuses on the emergent dynamics of social construction processes. One line of her work considers the social construction of economic value, specifically as it relates to the rise of digital currencies such as Bitcoin ,and utilizes a combination of agent-based modeling, automated analysis of text scraped from online communities and news, and quantitative analyses of price and investment trends. She also has undertaken a series of projects related to the emergence of cultural dynamics and shared social realities (i.e. social construction) out of the individual-level, cognitive processes responsible for automatic sense-making in situations (i.e. mental representation).
Shaw, L. 2020 Something Out of Nothing: a Bayesian Learning Computational Model for the Social Construction of Value. The Journal of Mathematical Sociology, 44:2, 65-89. .
Meluso, J., Austin-Breneman, J. & Shaw, L. (Forthcoming). “An Agent-Based Model of Miscommunications in Complex Systems Engineering Organizations.” IEEE - Systems Journal.
The meanings of new money: Social constructions of value in the rise of digital currencies L Shaw - 2016 - digital.lib.washington.edu sciencedirect.com
Mechanics and dynamics of social construction: Modeling the emergence of culture from individual mental representation L Shaw - Poetics, Volume 52, October 2015, Pages 75-90
Shaw, L. 2019. “Charting the Emergence of the Cultural from the Cognitive with Agent-based Modeling.” In W. Brekhus & G. Ignatow (Eds.), Oxford Handbook of Cognitive Sociology, Oxford University Press, New York, p. 402 - 420.
Tags: Agent-based modeling, Computational Social Science, Formal modeling, Social Choice Theory
I focus on statistical inference for complex systems and complex networks. I am broadly interested in problems at the intersection of statistics and complex systems. My recent work focuses on statistical inference problems in network science, including work on determining how strategic behavior shape network structure, what can be said about the past of dynamical networks from their present state, and how to determine network structure from noisy data.
Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement Laurent Hébert-Dufresne, Samuel V. Scarpino & Jean-Gabriel Young , Nature Physics volume 16, pages426–431(2020)
Phase Transition in the Recoverability of Network History Jean-Gabriel Young, Guillaume St-Onge, Edward Laurence, Charles Murphy, Laurent Hébert-Dufresne, and Patrick Desrosiers Phys. Rev. X 9, 041056 – Published 17 December 2019
Reconstruction of plant–pollinator networks from observational data ORCID ProfileJean-Gabriel Young, Fernanda S. Valdovinos, M. E. J. Newmandoi: https://doi.org/10.1101/754077 2019
Tags: networks, dynamical systems, information diffusion, computational social science, ecology and evolutionary biology
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