为新一代科学家整合计算数据科学的大学课程

Q1 Social Sciences
N. Renu, K. Sunil
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引用次数: 0

摘要

将计算数据科学(CDS)整合到大学课程中为学生、教师和机构提供了几个优势。本文讨论了将CDS引入大学课程对学生的好处,重点是培养学生在化学信息学、数据分析、结构-活性关系、建模和仿真方面的技能。此外,CDS可以使学生以新的和动态的方式接触复杂的化学和毒理学数据,帮助他们更细致地了解与不同化学品和物质相关的潜在危害和风险。另一方面,它可以促进学生和教师之间以及与工业界和政府的外部合作伙伴之间的更大合作。这可以导致开发更有效和高效的毒理学测试方法和工具,以筛选化学品的潜在危害,并有助于开发环境友好型化学品。总的来说,将CDS纳入大学课程将有助于培养下一代科学家,使他们具有竞争优势,从而为绿色化学做出重大贡献,设计更安全的化学品和非动物试验方法。这将使他们能够应对社会面临的现代挑战,包括确定更安全和更可持续的化学品,并预测新型化学物质对健康和环境的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Computational Data Science in University Curriculum for the New Generation of Scientists
Integration of computational data science (CDS) into the university curriculum offers several advantages for students, faculty and the institution. This article discusses the benefits to students of introducing CDS into the university curriculum with a focus on developing skills in cheminformatics, data analysis, structure–activity relationships, modelling and simulation. Moreover, CDS can enable students to engage with complex chemical and toxicological data in new and dynamic ways, helping them to develop a more nuanced understanding of the potential hazards and risks associated with different chemicals and substances. On the other hand, it can foster greater collaboration between students and faculty and with external partners in industry and government. This can lead to the development of more effective and efficient toxicological testing methods and tools to screen chemicals for potential hazards and aid the development of environmentally friendly chemicals. Overall, the integration of CDS into the university curriculum will help prepare the next generation of scientists giving them a competitive edge to make considerable contributions to green chemistry, designing safer chemicals and non-animal testing methods. It will enable them to tackle modern challenges facing society including identifying safer and more sustainable chemicals and predicting the health and environmental impacts of novel chemical substances.
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来源期刊
Higher Education for the Future
Higher Education for the Future Social Sciences-Education
CiteScore
24.10
自引率
0.00%
发文量
8
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