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Computing in the Arts - The Algorithm is the Medium

计算艺术——算法是媒介

基本信息

批准号：
2139786
负责人：
Bill Manaris
金额：
$ 10万
依托单位：
College of Charleston
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-01 至 2025-01-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2139786&HistoricalAwards=false
关键词：
Computing Arts Algorithm Medium

项目摘要

This project aims to redefine how we teach computer science to reach new kinds of computing students, students who apply computing to different fields in the arts, such as visual art (drawing, painting, photography), music, dance, sculpture, printmaking, art history, theater and performance art, among others. In this context, “the Algorithm is the Medium”, and as such young creators need to learn to think algorithmically and interweave algorithmic modeling and development of computational solutions into their art thinking and practice. Algorithms have existed for at least 2,000 years (e.g., Euclid's algorithm). In music and art, algorithms appear as early as Guido d'Arezzo (ca. 1000 A.D.), and in compositions by Bach, Mozart, John Cage, Iannis Xenakis, among others. Modern examples include data sonification for scientific or aesthetic purposes, such as sonifying biosignals, images, orbits of planets, and human movement (e.g., dance), among others. This project will focus on Computing in the Arts (CITA), an NSF-funded model curriculum, which is part of the new movement to combine art and design with science, technology, engineering and math (STEM + Art = STEAM). The goal of this project is to build a strong, yet diversified community of CS+Art educators and practitioners with the ultimate goal of developing new curricular guidelines to synthesize the creativity and design of art with the mathematical rigor and formality of computer science, technology, and engineering. A six-year longitudinal study shows that the CITA model curriculum attracts and retains almost twice as many female students, compared to traditional CS degree programs, and graduates 45.6% women compared to the 19% national average in CS. This project consists of two workshops, one in Fall 2021, and one in Spring 2022. The project will produce a report as an outcome, and lay the foundation to develop curricular guidelines for building effective CITA degree programs in US universities and abroad.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个项目旨在重新定义我们如何教授计算机科学，以接触到新型的计算机学生，这些学生将计算机应用于不同的艺术领域，如视觉艺术（绘画、绘画、摄影）、音乐、舞蹈、雕塑、版画、艺术史、戏剧和表演艺术等。在这样的背景下，“算法就是媒介”，因此年轻的创作者需要学会算法思维，将算法建模和计算解决方案的开发融入到他们的艺术思维和实践中。算法已经存在了至少2000年（例如，欧几里得算法）。在音乐和艺术领域，算法早在Guido d’arezzo（约公元1000年）就出现了，在巴赫、莫扎特、约翰·凯奇、伊安尼斯·谢纳基斯等人的作品中也出现了算法。现代的例子包括用于科学或美学目的的数据超声，例如对生物信号、图像、行星轨道和人类运动（例如舞蹈）等进行超声处理。该项目将专注于计算艺术（CITA），这是一个由nsf资助的模型课程，是将艺术和设计与科学、技术、工程和数学（STEM + art = STEAM）结合起来的新运动的一部分。该项目的目标是建立一个强大而多元化的CS+艺术教育者和实践者社区，最终目标是制定新的课程指南，将艺术的创造力和设计与计算机科学，技术和工程的数学严谨性和形式相结合。一项为期六年的纵向研究表明，与传统的计算机科学学位课程相比，CITA模式课程吸引和留住的女学生几乎是传统课程的两倍，毕业生中有45.6%是女性，而计算机科学专业的全国平均水平为19%。该项目包括两个研讨会，一个在2021年秋季，一个在2022年春季。该项目将产生一份报告作为结果，并为制定课程指南奠定基础，以便在美国大学和国外建立有效的CITA学位课程。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。