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What: Symposium on the Science of Stories
Where: Burlington Vermont USA
When: Oct. 15-17, 2018

Symposium on the Science of Stories

During this intensive three-day professional education short course, we will explore the nature of narratives, how to extract them from data, how they move through time and space, and how to preserve them through communication. We will also explore how to communicate data-rich narratives to the public and how to tell a story using data visualizations. In this course, we will introduce participants to methods, tools, and theory at the forefront of complex systems science, cognitive science, sentiment analysis, network theory, information theory, digital humanities, literature, data visualization, and data analytics.

Our professional education programs bring together a diverse network of business professionals, academics, innovators, investors, government and health practitioners, regulators, and educators. Our programs challenge participants to think about global issues from a new perspective, to expand their network beyond their field, and seek solutions to real world data-rich problems. No background in science or mathematics is required. We aim for this course to be an intimate experience, space is very limited and is available first-come-first-served.

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  • Symposium Faculty
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      Information flow on networks

      Jim Bagrow - University of Vermont
      Department of Mathematics and Statistics, Assistant Professor
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      The telephone game - what elements persevere in a narrative

      Fritz Breithaupt - Professor, Germanic Studies, Indiana University, Bloomington
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      The science of stories and sentiment analysis

      Chris Danforth - University of Vermont, Department of Mathematics and Statistics, Flint Professor of Mathematical, Natural, and Technical Sciences.
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      Introduction to the Science of Stories

      Peter Dodds - Director, Vermont Complex Systems Center
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      Forces that change culturally-transmitted data sets over time and how culture emerges from interacting individuals and is continually reshaped by them.

      Vanessa Ferdinand - Omidyar Postdoctoral Fellow, Santa Fe Institute
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      Communicating Complex Data to the Public

      Mirta Galesic - Cowan Chair in Human Social Dynamics at the Santa Fe Institute and Associate Researcher at the Harding Center for Risk Literacy at the Max Planck Institute for Human Development in Berlin, Germany
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      Applications of deep learning to narrative understanding.

      Mohit Iyyer
      UMass Amherst, Assistant professor; AI2, Young Investigator at AI2
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      Empathy and Social Connection in Story

      Sylvia Morelli - Assistant Professor of Psychology at the University of Illinois at Chicago and Director of the Empathy and Social Connection Lab.
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      Folklore and Cultural Analytics

      Timothy Tangherlini - Professor, The Scandinavian Section and Dept. of Asian Languages and Cultures, UCLA
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    Additions to speaker list coming soon!

  • Contact

    For any additional information, please contact:

    Juniper Lovato
    Director of Outreach for Complex Systems
    The Vermont Complex Systems Center

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