差异化的多样性:美国计算机领域的人口模式和背景划分

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computing in Science & Engineering Pub Date : 2024-03-29 DOI:10.1109/mcse.2024.3380614
Connie L. McNeely, Lisa M. Frehill
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A Differentiated Diversity: Demographic Patterns and Contextual Delineations in U.S. Computing
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来源期刊
Computing in Science & Engineering
Computing in Science & Engineering 工程技术-计算机:跨学科应用
CiteScore
4.20
自引率
0.00%
发文量
77
审稿时长
6-12 weeks
期刊介绍: Physics, medicine, astronomy -- these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering presents scientific and computational contributions in a clear and accessible format. The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. CiSE is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.
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