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Author: Hiroki Sayama

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Catherine B. Cramer works at the intersection of data-driven science, learning and workforce development, specifically as it pertains to the understanding of complexity. She is currently managing industry engagement at the Columbia University Data Science Institute, working with faculty and students with a focus on applying data- driven interdisciplinary research to society’s most complex problems through innovation and collaboration with industry and government. Mason A. Porter is a professor in the Department of Mathematics at UCLA. His research interests include a plethora of topics in complex systems, networks, nonlinear systems, and their applications. He is a Fellow of both the American Mathematical Society and the American Physical Society. Hiroki Sayama is a Professor of Systems Science and Industrial Engineering and the Director of the Center for Collective Dynamics of Complex Systems at Binghamton University, State University of New York. His research interests include complex systems, dynamical networks, human and social dynamics, artificial life/chemistry, interactive systems, and other computer/information science related topics. Lori Sheetz is the Director of the United States Military Academy”s Center for Leadership and Diversity in STEM and a collaborator with the Network Science Center at West Point. Her research interests include effective STEM education and outreach within diverse populations traditionally underrepresented in STEM fields, bridging the STEM skills gap between standards-based curriculum and projected workplace skills, and introducing a network approach to teaching and learning to pre-college students and teachers. Stephen Miles Uzzo is Chief Scientist for the New York Hall of Science where he does research and development of public programs and experiences on complex science and instructional development for pre-service teacher education. His background includes teaching and learning in data driven science, computer graphics systems, engineering and environmental science.




5 Ebooks by Hiroki Sayama

Catherine B. Cramer & Mason A. Porter: Network Science In Education
Around the globe, there is an increasingly urgent need to provide opportunities for learners to embrace complexity; to develop the many skills and habits of mind that are relevant to today’s comple …
PDF
English
€96.29
Thilo Gross & Hiroki Sayama: Adaptive Networks
Adding one and one makes two, usually. But sometimes things add up to more than the sum of their parts. This observation, now frequently expressed in the maxim "more is different", is one …
PDF
English
DRM
€111.95
Rene Doursat & Olivier Michel: Morphogenetic Engineering
Generally, spontaneous pattern formation phenomena are random and repetitive, whereas elaborate devices are the deterministic product of human design.Yet, biological organisms and collective insect …
PDF
English
DRM
€136.77
Naoki Masuda & Kwang-Il Goh: Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science
This volume constitutes the proceedings of Net Sci-X 2020: the Sixth International School and Conference on Network Science, which was held in Tokyo, Japan, in January 2020. Net Sci-X is the Network …
PDF
English
€96.29