Planning: Assessing Cyber Victimization Risk of Job Searching in the Hybrid World

规划:评估混合世界中求职的网络受害风险

基本信息

  • 批准号:
    2331984
  • 负责人:
  • 金额:
    $ 10万
  • 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:
    2023-10-01 至 2024-09-30
  • 项目状态:
    已结题

项目摘要

Most studies on Cyber Victimization focus only on virtual spaces during job searches and ignore the influence of hybrid space. The principal investigators (PIs) want to better understand how hybrid space, which involves both physical and virtual elements, affects cyber victimization during job searching. The PIs also aim to find ways to reduce its negative effects on mental health, well-being, and employment outcomes. To conduct their research, PIs will focus on university students who are currently job hunting, particularly those attending on-campus career fairs that happen annually or biannually. The project has two main goals. One goal is to not only understand cyber victimization but also create tools that help students avoid falling prey to job scams. Secondly, the project aims to involve stakeholders from academia, industry, and policymaking by organizing workshops and generating a report with assessments. This ensures that the research findings are relevant and useful, and the strategies developed to address cyber victimization risks in job searching are practical and effective through collaboration and discussion. The project will also implement educational programs and awareness initiatives to protect job seekers and equip them with the skills needed to navigate the job search process safely. This will build confidence in job seekers and enable them to make informed decisions while seeking employment. In addition, the project aims to encourage the involvement of underrepresented groups by involving students from Prairie View A&M University, the largest historically Black university in Texas, and Texas A&M University, the largest Hispanic-Serving Institution in Texas in the research process. By doing so, these students will have the opportunity to gain knowledge and skills in diverse fields, contributing to a more inclusive and equitable research endeavor.The project aims to bolster the investigation of job-search-related cyber victimization risk in the hybrid realm by integrating multiple disciplines. By conducting a sequence of multidisciplinary brainstorming sessions and workshops, this project aims to enhance research frameworks, human behavior theories, and spatial-social methodologies used to evaluate cyber victimization risk. By adopting this interdisciplinary approach, the project will foster innovation and facilitate a more profound comprehension of cyber victimization concerning job searching scenarios. The workshops organized by the principal investigators will promote collaborative efforts among scholars from a wide array of fields, encompassing cybersecurity, psychology, human resources, criminal justice, information technology, business, education, and geography/planning. This collaborative endeavor will facilitate the identification and consolidation of crucial concerns pertaining to the evaluation of cyber victimization risk during job searching in the hybrid world. By integrating diverse perspectives and areas of expertise, the project will enrich the comprehension of the frequency, consequences, contributing factors, and strategies to mitigate cyber victimization. The research questions formulated through interdisciplinary workshops will delve into significant aspects of cyber victimization during job searching, covering topics like deep fake job posts, demographics, education and awareness initiatives, online privacy and security, and the impact of cyber victimization on job seekers' well-being and decision-making. Moreover, the project will play a vital role in advancing novel methodologies and approaches for detecting, mitigating, and preventing cyber victimization.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.
关于网络受害的大多数研究仅集中在工作期间的虚拟空间上,而忽略了混合空间的影响。主要研究人员(PIS)希望更好地了解涉及物理和虚拟元素的混合空间如何影响求职期间的网络受害。 PI还旨在寻找减少其对心理健康,福祉和就业成果的负面影响的方法。为了进行研究,PI将专注于目前正在寻找工作的大学生,尤其是那些参加每年一次或每年一次的校园职业博览会的学生。该项目有两个主要目标。一个目标不仅是了解网络受害,还要创建工具,以帮助学生避免陷入工作骗局的牺牲品。其次,该项目的目的是通过组织研讨会并通过评估来涉及学术界,行业和决策的利益相关者。这确保了研究结果是相关且有用的,并且通过协作和讨论,为解决求职的网络受害风险而制定的策略是实用有效的。该项目还将实施教育计划和意识倡议,以保护求职者,并为他们提供安全探索求职过程所需的技能。这将建立对求职者的信心,并使他们在寻求就业时做出明智的决定。此外,该项目旨在鼓励代表性不足的团体参与,包括来自德克萨斯州历史上最大的黑人大学的Prairie View A&M大学的学生,以及得克萨斯州最大的西班牙裔美国人服务机构得克萨斯州A&M University参与研究过程。通过这样做,这些学生将有机会在各个领域中获得知识和技能,从而有助于更具包容性和公平的研究努力。该项目旨在通过整合多个学科来加强对与工作相关的网络受害风险的调查。通过进行一系列多学科的头脑风暴会议和讲习班,该项目旨在增强研究框架,人类行为理论以及用于评估网络受害风险的空间社会方法。通过采用这种跨学科方法,该项目将促进创新并促进对求职方案的网络受害的更深刻的理解。首席研究人员组织的讲习班将促进各种领域的学者之间的合作努力,包括网络安全,心理学,人力资源,刑事司法,信息技术,商业,教育和地理/计划。这项合作的努力将促进与评估网络受害风险在求职期间在混合世界中的评估有关的关键问题的认同和巩固。通过整合各种观点和专业知识领域,该项目将丰富对减轻网络受害的频率,后果,促成因素和策略的理解。通过跨学科研讨会提出的研究问题将深入研究求职​​期间网络受害的重要方面,涵盖了诸如深层伪造工作职位,人口统计,教育和意识计划,在线隐私和安全性以及网络受害对求职者的福祉和决策的影响。此外,该项目将在推进新颖的方法和方法方面发挥至关重要的作用,用于检测,缓解和防止网络受害。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子来评估的支持,并具有更大的影响。

项目成果

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专利数量(0)

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Na Li其他文献

Variants of ALS on Tensor Decompositions and Applications
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Na Li
  • 通讯作者:
    Na Li
Power System Dynamics as Primal-Dual Algorithm for Optimal Load Control
电力系统动力学作为最优负荷控制的原对偶算法
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Changhong Zhao;U. Topcu;Na Li;S. Low
  • 通讯作者:
    S. Low
A novel method for converting the N-point complex sequence of frequency-domain to 2N-point real sequence of time-domain with N-point IFFT computation
一种利用N点IFFT计算将频域N点复数序列转换为时域2N点实数序列的新方法
A Spherical Nucleic Acid Probe Based on Au-Se Bond
基于Au-Se键的球形核酸探针
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Peng Gao;Bo Liu;Wei Pan;Na Li;Bo Tang
  • 通讯作者:
    Bo Tang
Multiplexed Detection of Attomole Nucleic Acids Using Fluo-rescent Nanoparticle Counting Platform
使用荧光纳米颗粒计数平台多重检测阿托摩尔核酸
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiaojing Pei;Haoyan Yin;Tiancheng Lai;Junlong Zhang;Feng Liu;Xiao Xu;Na Li
  • 通讯作者:
    Na Li

Na Li的其他文献

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{{ truncateString('Na Li', 18)}}的其他基金

Collaborative Research: MLWiNS: Distributed Learning over Multi-Access Channels: From Bandlimited Coordinate Descent to Gradient Sketching
协作研究:MLWiNS:多访问通道上的分布式学习:从带限坐标下降到梯度草图
  • 批准号:
    2003111
  • 财政年份:
    2020
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
EAGER: Real-Time: Learning, Selection, and Control in Residential Demand Response for Grid Reliability
EAGER:实时:住宅需求响应中的学习、选择和控制以提高电网可靠性
  • 批准号:
    1839632
  • 财政年份:
    2018
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Developing Innovative Privacy Learning Modules to Engage Students in Cybersecurity Education
开发创新的隐私学习模块,让学生参与网络安全教育
  • 批准号:
    1712496
  • 财政年份:
    2017
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
CAREER: Optimization, Control, and Incentive Design for Power Networks with High Levels of Distributed Energy Resources
职业:高水平分布式能源电力网络的优化、控制和激励设计
  • 批准号:
    1553407
  • 财政年份:
    2016
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Collaborative Research: Towards Communication-Cognizant Voltage Regulation and Energy Management for Power Distribution Systems
合作研究:面向配电系统的通信认知电压调节和能源管理
  • 批准号:
    1608509
  • 财政年份:
    2016
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant

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路由劫持风险评估模型与RPKI部署规划
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