
David LePoire, "Time Patterns in Big History: Cycles, Fractals, Waves, Transitions, and Singularities" (2020)
03/22/23 • 70 min
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There is the common saying, “history doesn't repeat itself, but it often rhymes.” Are there any discernible patterns in history, and if so, what are these patterns? These are the questions addressed in Dave LePoire’s Time Patterns in Big History: Cycles, Fractals, Waves, Transitions, and Singularities (2020). Among the issues addressed in this book are the various forms of patterns and dynamics that occur within history when examined at the most macro-level scale (the field of Big History) but also the importance of studying the nature of complex adaptive systems.
Dave LePoire researches, develops, and applies science principles in environmental issues, Big History evolutionary trends, and particle scattering. He has a BS in Physics from CalTech, a PhD in Computer Science from DePaul, and over 30 years of experience at Argonne National Laboratory in the development of scientific analyses, software, training, and modeling. His research interests include Big History synergistic trends among energy, environment, organization, and information.
Stephen Satkiewicz is an independent scholar whose research areas are related to Civilizational Analysis, Social Complexity, Big History, Historical Sociology, military history, War studies, International Relations, Geopolitics, as well as Russian and East European history.
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There is the common saying, “history doesn't repeat itself, but it often rhymes.” Are there any discernible patterns in history, and if so, what are these patterns? These are the questions addressed in Dave LePoire’s Time Patterns in Big History: Cycles, Fractals, Waves, Transitions, and Singularities (2020). Among the issues addressed in this book are the various forms of patterns and dynamics that occur within history when examined at the most macro-level scale (the field of Big History) but also the importance of studying the nature of complex adaptive systems.
Dave LePoire researches, develops, and applies science principles in environmental issues, Big History evolutionary trends, and particle scattering. He has a BS in Physics from CalTech, a PhD in Computer Science from DePaul, and over 30 years of experience at Argonne National Laboratory in the development of scientific analyses, software, training, and modeling. His research interests include Big History synergistic trends among energy, environment, organization, and information.
Stephen Satkiewicz is an independent scholar whose research areas are related to Civilizational Analysis, Social Complexity, Big History, Historical Sociology, military history, War studies, International Relations, Geopolitics, as well as Russian and East European history.
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What Algorithms Want: Imagination in the Age of Computing
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