CAREER: Explorations of Complex Social and Psychological Phenomena through Multiscale Online Sociological Experiments, Empirical Studies, and Theoretical Models

职业:通过多尺度在线社会学实验、实证研究和理论模型探索复杂的社会和心理现象

基本信息

项目摘要

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This CAREER project aims to improve our understanding of complex social phenomena that emerge when people interact via web-based technologies. The research projects explore: (1) Collaborative creativity, problem solving, and decision making via multiscale, game-based, online sociological experiments; (2) The dynamics of emotional content in human communication through online experiments and by studying a wide body of texts including blogs, microblogs, and online discussion forums; and (3) Collective social phenomena in complex networks (e.g., contagion phenomena) via theoretical models and empirical work. The experimental designs include both tightly constrained samples and less constrained web-based samples, which will enable the researcher to explore some open, controversial questions about web-based vs. more conventional sampling.The project's experiments will center around the development of a sophisticated online experiment platform, which will both facilitate the rapid construction of experiments and will also be useful for educational activities. Once prepared, the platform is intended to be available for wide use by researchers studying social phenomena. The experimental and empirical work will also generate rich, extensive data sets that will be maintained for other researchers to explore.The project will include development of a series of interrelated, transdisciplinary courses on complex systems which will form a core part of the graduate curriculum of the University of Vermont's Complex Systems Center. Course material, including hypertext lectures, will be open-licensed and made available online for others to use in graduate and undergratduate settings. Material will cover a broad spectrum of areas including the distribution of wealth, success, and popularity; the spread of diseases and ideas; search for information; system efficiency, robustness, and fragility; and the large-scale movement of people and materials.
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。这个职业项目旨在提高我们对人们通过基于网络的技术互动时出现的复杂社会现象的理解。这些研究项目探索:(1)通过多尺度、基于游戏的在线社会学实验来探索协作创造力、问题解决和决策;(2)通过在线实验以及通过研究博客、微博和在线论坛等大量文本来研究人类交流中情感内容的动态;以及(3)通过理论模型和实证工作来探索复杂网络中的集体社会现象(例如,传染现象)。实验设计既包括严格限制的样本,也包括较少限制的网络样本,这将使研究人员能够探索一些开放的、有争议的问题,即基于网络的样本与更传统的样本。该项目的实验将围绕开发一个复杂的在线实验平台,这既有利于实验的快速建设,也将对教育活动有用。一旦准备就绪,该平台将被研究社会现象的研究人员广泛使用。实验和实证工作还将产生丰富、广泛的数据集,供其他研究人员使用。该项目将包括开发一系列相互关联的、跨学科的复杂系统课程,这些课程将成为佛蒙特州大学复杂系统中心研究生课程的核心部分。课程材料,包括超文本讲座,将是开放许可的,并在网上提供,供其他人在研究生和本科生环境中使用。材料将涵盖广泛的领域,包括财富、成功和受欢迎的分配;疾病和思想的传播;信息的搜索;系统的效率、健壮性和脆弱性;以及人员和物资的大规模流动。

项目成果

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Peter Dodds其他文献

Multichannel interferometry using high‐order rotating diffraction gratings
使用高阶旋转衍射光栅的多通道干涉测量
  • DOI:
    10.1063/1.1143513
  • 发表时间:
    1992
  • 期刊:
  • 影响因子:
    1.6
  • 作者:
    J. Howard;G. B. Warr;Peter Dodds
  • 通讯作者:
    Peter Dodds
ARTIFICIAL INTELLIGENCE (AI) WON’T BE WRITING AWARD WINNING SCRIPTS SOON – BUT IT COULD HELP HUMANS WHO DO
人工智能 (AI) 不会很快写出获奖剧本,但它可以帮助那些这样做的人类
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    0
  • 作者:
    Peter Dodds
  • 通讯作者:
    Peter Dodds

Peter Dodds的其他文献

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