Pathways to Ethics of Technology in the Liberal Arts Curriculum
文科课程中的技术伦理途径
基本信息
- 批准号:2220772
- 负责人:
- 金额:$ 39.94万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-01-01 至 2025-12-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project will focus on how to educate the next generation of data scientists and software engineers to implement their technical expertise informed by sound ethical principles. This interdisciplinary research project will investigate pathways to making ethics of technology–computational, data-driven technology–a fundamental part of the liberal arts curriculum for undergraduate students. This project aims to answer these questions in a collaboration between the principal investigators and their students in a multi-year pedagogical exercise called: Method, Ethics, Technology, Research Seminar (METER). The findings from this project will be of interest to educators, practitioners and students. The project: Pathways to Ethics of Technology in the Liberal Arts Curriculum seeks to address two questions: How should the next generation of data scientists and software engineers be educated to think of their work as not just technical but also ethical? What sort of educational experiences will lead them to see that the social impact of their work requires that it be driven by sound ethical principles? Using surveys and interviews, the research team will also collaborate with alums of their institution to bring the workplace into the classroom. This project will generate new knowledge with respect to: 1. How workers in the field of digital technology reflect on their preparation for careers in technology, 2. How the historical and present-day iterations of liberal arts curricula intersect, support, or otherwise interrogate the ethics of technology, 3. Strategies and materials for meaningful intervention in liberal arts curricula, with the objective of strengthening the ethical decision making preparation for future leaders in technology.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.
该项目将重点关注如何教育下一代数据科学家和软件工程师,以实现他们的技术专长,并遵循合理的道德原则。这个跨学科的研究项目将探讨途径,使技术计算,数据驱动的技术,文科课程的一个基本组成部分,为本科生的道德。该项目旨在回答这些问题的主要研究者和他们的学生之间的合作,在一个多年的教学练习称为:方法,伦理,技术,研究研讨会(米)。该项目的研究结果将引起教育工作者、从业者和学生的兴趣。该项目:文科课程中的技术伦理途径旨在解决两个问题:如何教育下一代数据科学家和软件工程师,使他们的工作不仅是技术性的,而且是道德性的?什么样的教育经历会让他们认识到,他们的工作的社会影响需要由健全的道德原则来驱动?通过调查和访谈,研究团队还将与他们机构的校友合作,将工作场所带入课堂。该项目将产生新的知识方面:1。数字技术领域的工作者如何反思他们为技术职业生涯所做的准备,2。文科课程的历史和当今迭代如何交叉,支持或以其他方式询问技术伦理,3。战略和材料,有意义的干预文科课程,加强道德决策的准备,为未来的领导者在technology.This奖项的目标反映了NSF的法定使命,并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Eni Mustafaraj其他文献
What Edited Retweets Reveal about Online Political Discourse
编辑后的转发揭示了在线政治话语的哪些内容
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Eni Mustafaraj;P. Metaxas - 通讯作者:
P. Metaxas
People, not search-engine algorithms, choose unreliable or partisan news
人们而非搜索引擎算法选择不可靠或有党派偏见的新闻。
- DOI:
10.1038/d41586-023-01634-5 - 发表时间:
2023-05-24 - 期刊:
- 影响因子:48.500
- 作者:
Eni Mustafaraj - 通讯作者:
Eni Mustafaraj
People, not search-engine algorithms, choose unreliable or partisan news
人们而非搜索引擎算法选择不可靠或有党派偏见的新闻。
- DOI:
10.1038/d41586-023-01634-5 - 发表时间:
2023-05-24 - 期刊:
- 影响因子:48.500
- 作者:
Eni Mustafaraj - 通讯作者:
Eni Mustafaraj
Towards A Diverse, Inclusive, Accessible and Equitable AAAI International Conference on Web and Social Media (ICWSM)
迈向多元化、包容性、可访问和公平的 AAAI 网络和社交媒体国际会议 (ICWSM)
- DOI:
10.36190/2021.00 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Jason R. C. Nurse;F. Vargas;Naeemul Hassan;Dakuo Wang;Panagiotis Andriotis;Amira Ghenai;Kokil Jaidka;Eni Mustafaraj;K. Joseph;B. F. Welles - 通讯作者:
B. F. Welles
Sifting the sand on the river bank: Social media as a source for research data
筛选河岸上的沙子:社交媒体作为研究数据的来源
- DOI:
10.1515/itit-2014-1047 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
P. Metaxas;Eni Mustafaraj - 通讯作者:
Eni Mustafaraj
Eni Mustafaraj的其他文献
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{{ truncateString('Eni Mustafaraj', 18)}}的其他基金
CAREER: Signals for evaluating the credibility of web sources and advancing web literacy
职业:评估网络资源可信度和提高网络素养的信号
- 批准号:
1751087 - 财政年份:2018
- 资助金额:
$ 39.94万 - 项目类别:
Continuing Grant
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