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
- 来源:
- 关键词:
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.
大多数关于网络受害者的研究只关注求职过程中的虚拟空间,而忽略了混合空间的影响。主要研究人员(PI)希望更好地了解混合空间,其中涉及物理和虚拟元素,如何影响求职过程中的网络受害。PI还旨在找到减少其对心理健康,福祉和就业结果的负面影响的方法。为了进行研究,PI将重点关注目前正在找工作的大学生,特别是那些参加每年或每半年举行的校园招聘会的学生。该项目有两个主要目标。一个目标是不仅要了解网络受害,而且还要创建工具,帮助学生避免成为求职诈骗的牺牲品。第二,该项目旨在通过组织研讨会和编写一份附有评估的报告,让来自学术界、工业界和决策部门的利益攸关方参与进来。这确保了研究结果的相关性和有用性,以及通过合作和讨论制定的应对求职网络受害风险的策略是实际和有效的。该项目还将实施教育计划和提高认识的举措,以保护求职者,并使他们掌握安全地浏览求职过程所需的技能。这将建立求职者的信心,使他们能够在求职时做出明智的决定。此外,该项目的目的是鼓励参与代表性不足的群体,从草原视图A M大学,在得克萨斯州历史上最大的黑人大学,和得克萨斯州A M大学,在得克萨斯州的研究过程中最大的西班牙裔服务机构的学生。通过这样做,这些学生将有机会获得不同领域的知识和技能,有助于更包容和公平的研究奋进。该项目旨在通过整合多个学科来加强混合领域中与求职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研讨会,该项目旨在加强研究框架,人类行为理论和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的方法,该项目将促进创新,并促进更深刻地理解有关求职场景的网络受害。主要调查员组织的讲习班将促进来自广泛领域的学者之间的协作努力,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/规划。这一合作奋进将有助于识别和巩固有关的关键问题的评估网络受害风险在求职过程中的混合世界。通过整合不同的观点和专业领域,该项目将丰富对频率,后果,促成因素和战略的理解,以减轻网络受害。通过跨学科研讨会制定的研究问题将深入探讨求职过程中网络受害的重要方面,涵盖深度虚假职位、人口统计、教育和意识举措、在线隐私和安全以及网络受害对求职者的影响等主题。福祉和决策。此外,该项目将在推进检测、减轻和预防网络受害的新方法和途径方面发挥至关重要的作用。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
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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Na Li其他文献
The key sulfometuron-methyl degrading bacteria isolation based on soil bacterial phylogenetic molecular ecological networks and application for bioremediation of contaminated soil by immobilization
基于土壤细菌系统发育分子生态网络的甲磺隆关键降解菌分离及其在污染土壤生物修复中的应用
- DOI:
10.1016/j.ecoenv.2022.113605 - 发表时间:
2022 - 期刊:
- 影响因子:6.8
- 作者:
Hao Zhang;Chun-Yang Liu;Xin Zhang;Hui-Ying Yang;Jie Sun;Cheng-Bin Liu;Na Li - 通讯作者:
Na Li
How Perceived Stress Affects Farmers’ Continual Adoption of Farmland Quality Improvement Practices
感知压力如何影响农民——持续采用农田质量改善实践
- DOI:
10.3390/agriculture12060876 - 发表时间:
2022-06 - 期刊:
- 影响因子:0
- 作者:
Na Li;Caixia Xue - 通讯作者:
Caixia Xue
span style=font-family:Times New Roman;background:white;font-size:12pt;A Highly Selective and Instantaneous Nanoprobe for Detection and Imaging of Ascorbic Acid in Living Cells and in Vivo. 2014, 86, ./span
用于活细胞和体内抗坏血酸检测和成像的高选择性和瞬时纳米探针。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Na Li;Yanhua Li;Yaoyao Han;Wei Pan;Tingting Zhang;Bo Tang - 通讯作者:
Bo Tang
Molecular characterization of soil organic carbon in water-stable aggregate fractions during the early pedogenesis from parent material of Mollisols
软土母质早期成土过程中水稳定团聚体部分土壤有机碳的分子特征
- DOI:
10.1007/s11368-020-02563-w - 发表时间:
2020-02 - 期刊:
- 影响因子:3.6
- 作者:
Na Li;Jinghong Long;Xiaozeng Han;Yaru Yuan;Ming Sheng - 通讯作者:
Ming Sheng
Comparison of central corneal thickness treated with small incision lenticule extraction, femtosecond laser-assisted in situ keratomileusis, or laser-assisted subepithelial keratomileusis for myopia
小切口角膜基质透镜摘除术、飞秒激光辅助原位角膜磨镶术、激光辅助上皮下角膜磨镶术治疗近视的中央角膜厚度比较
- DOI:
10.1007/s10103-023-03862-7 - 发表时间:
2023 - 期刊:
- 影响因子:2.1
- 作者:
G. Tian;Tong Chen;Xin Liu;Yue Lin;Na Li;Hua Gao;Mingna Liu - 通讯作者:
Mingna Liu
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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