Collaborative Research: The Confluence of Music, Art and Science at Long Term Ecological Research Sites

合作研究：长期生态研究基地音乐、艺术和科学的融合

• 批准号: 1548182
• 负责人: Sarah Garlick
• 金额: $ 11.5万
• 依托单位: Hubbard Brook Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1548182&HistoricalAwards=false
• 关键词: Collaborative; Research; Confluence; Music; Art

Practitioners of the arts, humanities, and sciences all seek solutions to complex problems, suggesting that collaborations across these disciplines could yield new insights into societal challenges and needs. Deep cultural and practical divides limit these collaborations. This project will bring together ecologists, artists, musicians, neuroscientists, computer scientists, educators, and science communicators to design research using new visualization and sonification tools. Project goals are to stimulate creative thinking, to allow for advanced forms of pattern recognition, and to facilitate a diverse and cross-disciplinary approach to environmental research needs, questions, and results. The project has the potential to expand significantly the participation of diverse cultural, ethnic, and economic groups in scientific research by allowing these groups to co-develop research questions at the outset. Inclusion of educators and science communicators will provide opportunities for students and the public to interact with high frequency environmental data in novel ways, allowing them new ways to comprehend complex data and processes. These new ways of experiencing complex natural phenomena may be particularly beneficial for individuals who have special learning needs, who learn better visually or acoustically, or who are disaffected by traditional numerical presentations of data and results. The project is risky, but promises very high rewards. The major goal of this project is to encode high-volume and high-frequency ecological data in new ways in order to discover underlying patterns and processes. Online digital visualization and sonification tools will be developed to display multi-dimensional real-time ecological data generated from environmental sensor arrays at two Long Term Ecological Research sites. A novel partnership with neuroscientists will explore how stimulation of different neural circuitry in the human brain allows large datasets to be understood, perhaps in new ways. A current visualization tool, Waterviz, will be re-designed in collaboration with artists, neuroscientists, and computer scientists. Hydrologic data captured with sensors will drive a computer model that calculates all components of a water cycle in real time. These data in turn will drive artistic and musical simulations of the water cycle. The models will be used to test hypotheses that multi-sensory experiences simultaneously engage reasoning, visual, and acoustical brain centers such that large-scale patterns and processes are easier to apprehend; that neurological tools can provide a mechanistic understanding of improved comprehension; and that the engagement of artists directly in the research will stimulate new ideas and insights into complex problems. External evaluation of the project will determine whether artists and scientists are equitably engaged, whether new relationships result, and whether this process stimulates new ideas and insights.

艺术、人文和科学的从业者都在寻求复杂问题的解决方案，这表明跨这些学科的合作可以产生对社会挑战和需求的新见解。深刻的文化和实践分歧限制了这些合作。该项目将汇集生态学家、艺术家、音乐家、神经科学家、计算机科学家、教育工作者和科学传播者，利用新的可视化和声化工具设计研究。项目目标是激发创造性思维，允许高级形式的模式识别，并促进对环境研究需求、问题和结果的多样化和跨学科方法。通过允许不同文化、种族和经济群体在一开始就共同发展研究问题，该项目有可能显著扩大不同文化、种族和经济群体对科学研究的参与。教育工作者和科学传播者的参与将为学生和公众提供以新颖方式与高频环境数据互动的机会，使他们能够以新的方式理解复杂的数据和过程。这些体验复杂自然现象的新方法可能对那些有特殊学习需要的人，那些视觉或听觉学习效果更好的人，或者那些对传统的数据和结果的数字表示不满意的人特别有益。这个项目有风险，但回报很高。该项目的主要目标是以新的方式对高容量和高频率的生态数据进行编码，以便发现潜在的模式和过程。将开发在线数字可视化和超声工具，以显示两个长期生态研究地点的环境传感器阵列产生的多维实时生态数据。与神经科学家的一项新合作将探索如何刺激人类大脑中不同的神经回路，从而以新的方式理解大型数据集。目前的可视化工具Waterviz将与艺术家、神经科学家和计算机科学家合作重新设计。传感器捕获的水文数据将驱动计算机模型，实时计算水循环的所有组成部分。这些数据反过来将推动对水循环的艺术和音乐模拟。这些模型将用于测试假设，即多感官体验同时参与推理、视觉和听觉大脑中心，这样大规模的模式和过程更容易理解；神经学工具可以提供一种机制上的理解来提高理解能力；艺术家直接参与研究将激发对复杂问题的新想法和见解。项目的外部评估将决定艺术家和科学家是否公平参与，是否会产生新的关系，以及这个过程是否会激发新的想法和见解。