Education DCL: EAGER: Teaching Privacy via Stakeholder Modeling

教育 DCL:EAGER:通过利益相关者建模教授隐私

基本信息

  • 批准号:
    2335625
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2024
  • 资助国家:
    美国
  • 起止时间:
    2024-01-01 至 2025-12-31
  • 项目状态:
    未结题

项目摘要

Education about the social impacts of privacy and cybersecurity is critical to individual welfare and to creating technology that is in the public interest, but it is also challenging to make effective. Students often struggle to relate abstract concepts like the right to privacy, control over personal data, or freedom of speech, to the concrete technical choices they must make. This project realizes and evaluates a new pedagogical approach to teaching privacy and cybersecurity, focused around "stakeholders": people who are directly or indirectly affected by a technical system. The project's novelties are (1) the stakeholder approach, which combines teaching about abstract, high-level concepts with concrete applications, and (2) a preliminary investigation of the effectiveness of this approach. The project's broader significance and importance are that it creates an effective template for privacy and cybersecurity, produces open-source assignment materials, and impacts computer science education through new pedagogies and curricular recommendations.The project develops a new, stakeholder-focused approach to teaching privacy and security. The stakeholder approach is a template for reasoning about privacy and cybersecurity concerns in the development of technical systems, with a focus on relating high-level, abstract concepts to concrete implementation choices via stakeholder needs. The stakeholder needs give students concrete but possibly conflicting requirements to support. Ideally, the stakeholder approach leads to (a) students making deeper and more substantive connections between abstract concepts related to privacy and cybersecurity (e.g., data autonomy and ownership, transparency, accountability) and concrete social impacts (e.g., identity theft, reputational damage); (b) students engaging more deeply with social impact concepts and how they relate to technical decisions they face; and (c) students perceiving cybersecurity as an area in which they can work towards fair and equitable computing systems. The research team is developing and deploying stakeholder-based assignments in five computer science courses at Brown University, spanning introductory, intermediate, and upper-level courses taken by undergraduates and cybersecurity master's students. The data collected from these assignments will help answer the central research question of whether the stakeholder approach results in meaningful improvement in students' ability to relate normative concepts to concrete problems and technical design decisions. This work will therefore contribute to academic computer science education, workforce development, and socially-responsible computing by proposing new pedagogies and curricular structures for effective teaching of privacy and cybersecurity and their societal context.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.
对隐私和网络安全的社会影响的教育对于个人福利和创造符合公共利益的技术至关重要,但提高有效也很具有挑战性。学生通常很难将诸如隐私权,对个人数据或言论自由的权利,控制权的权利概念与他们必须做出的具体技术选择联系起来。该项目实现并评估了一种新的教学方法,用于教学隐私和网络安全,围绕“利益相关者”:直接或间接受技术系统影响的人。该项目的新颖性是(1)利益相关者的方法,该方法将有关抽象,高级概念的教学与具体应用结合在一起,以及(2)对该方法有效性的初步研究。该项目的更大意义和重要性是,它为隐私和网络安全创建了一个有效的模板,生产开源分配材料,并通过新的教学法和课程建议影响计算机科学教育。该项目开发了一种新的,利益相关者的方法来实现教学隐私和安全性。利益相关者的方法是一个模板,用于推理技术系统开发中的隐私和网络安全问题,重点是通过利益相关者需求将高级,抽象的概念与具体实施选择联系起来。利益相关者需要为学生提供具体但可能相互矛盾的支持要求。理想情况下,利益相关者的方法导致(a)在与隐私和网络安全有关的抽象概念(例如,数据自主权和所有权,透明度,问责制)与具体的社会影响(例如身份盗用,声誉损害)之间建立更深入,更实质性的联系; (b)学生更深入地参与社会影响概念,以及他们与他们面临的技术决策的关系; (c)学生认为网络安全是他们可以朝着公平且公平的计算系统努力的领域。研究团队正在布朗大学的五个计算机科学课程中开发和部署基于利益相关者的任务,这些分娩涵盖了本科生和网络安全硕士学生的入门,中级和高级课程。从这些作业中收集的数据将有助于回答中心研究问题,即利益相关者方法是否会有意义地提高学生将规范概念与具体问题和技术设计决策联系起来的能力。因此,这项工作将通过提出新的教育和课程结构来为学术计算机科学教育,劳动力发展和社会负责的计算做出贡献,以有效地教授隐私和网络安全及其社会背景。这项奖项反映了NSF的法规使命,并认为通过基金会的知识优点和广泛的crietia criter scritia criter scriter scriter scriter scriter scriter criteria criter criter criteria criter criteria criter criteria criter criteria criter criteria均值得一提。

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)

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Malte Schwarzkopf其他文献

Cluster Scheduling for Data Centers
  • DOI:
    10.1145/3155112.3173558
  • 发表时间:
    2017-10
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Malte Schwarzkopf
  • 通讯作者:
    Malte Schwarzkopf
Research Statement – Malte Schwarzkopf
研究报告——马尔特·施瓦茨科普夫
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Malte Schwarzkopf
  • 通讯作者:
    Malte Schwarzkopf
Operating system support for warehouse-scale computing
  • DOI:
    10.17863/cam.26443
  • 发表时间:
    2018-11
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Malte Schwarzkopf
  • 通讯作者:
    Malte Schwarzkopf
DEMO: Integrating MPC in Big Data Workflows
演示:将 MPC 集成到大数据工作流程中
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nikolaj Volgushev;Malte Schwarzkopf;A. Lapets;Mayank Varia;Azer Bestavros
  • 通讯作者:
    Azer Bestavros

Malte Schwarzkopf的其他文献

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{{ truncateString('Malte Schwarzkopf', 18)}}的其他基金

Travel: Student Travel Support to SOSP 2023
旅行:SOSP 2023 学生旅行支持
  • 批准号:
    2342883
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
CAREER: Privacy-Compliant Web Services By Construction
职业:构建符合隐私的 Web 服务
  • 批准号:
    2045170
  • 财政年份:
    2021
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
EAGER: SaTC-EDU: Instilling a Mindset of Adversarial Thinking into Computer Science Courses Early and Often
EAGER:SaTC-EDU:尽早且经常地将对抗性思维方式灌输到计算机科学课程中
  • 批准号:
    2039354
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

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RNAi介导的转S1基因大豆对SMV广谱抗性启动机制的解析
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    25.0 万元
  • 项目类别:
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相似海外基金

Education DCL: EAGER: An Embedded Case Study Approach for Broadening Students' Mindset for Ethical and Responsible Cybersecurity
教育 DCL:EAGER:一种嵌入式案例研究方法,用于拓宽学生道德和负责任的网络安全思维
  • 批准号:
    2335636
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Education DCL: EAGER: Advancing Secure Coding Education: Empowering Students to Safely Utilize AI-powered Coding Assistant Tools
教育 DCL:EAGER:推进安全编码教育:使学生能够安全地利用人工智能驱动的编码辅助工具
  • 批准号:
    2335798
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Education DCL: EAGER: Experiential Learning Platform and Curricular Modules for Quantum Computing Security and Privacy Education
教育 DCL:EAGER:量子计算安全和隐私教育的体验式学习平台和课程模块
  • 批准号:
    2335788
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: Education DCL: EAGER: Harnessing the Power of Large Language Models in Digital Forensics Education at MSI and HBCU
合作研究:教育 DCL:EAGER:在 MSI 和 HBCU 的数字取证教育中利用大型语言模型的力量
  • 批准号:
    2333951
  • 财政年份:
    2023
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    $ 30万
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    Standard Grant
Collaborative Research: Education DCL: EAGER: Redefining Cybersecurity Education for Criminal Justice Professionals: Bridging the Gap in National Cyber Capabilities
合作研究:教育 DCL:EAGER:重新定义刑事司法专业人员的网络安全教育:缩小国家网络能力的差距
  • 批准号:
    2334196
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
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