Collaborative Research: NRT: Cyber-Physical-Social System for Understanding & Thwarting the Illicit Economy

合作研究：NRT：网络物理社会理解系统

• 批准号: 1828288
• 负责人: Chaoyang Jiang
• 金额: $ 61.11万
• 依托单位: University of South Dakota Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1828288&HistoricalAwards=false
• 关键词: Collaborative; Research; NRT; Cyber; Physical

The negative societal impacts of counterfeiting are widespread, touching nearly every economic sector, including health care, and threatening our national security. The explosion of the illicit economy can be traced to the growth in online commerce and an "abuse ecosystem" of rogue internet actors, direct-to-consumer courier delivery services, and the lack of product protective measures to counteract counterfeiting. This increase is further fueled by new digital tools available to counterfeiters, such as higher resolution digital printers. This National Science Foundation Research Traineeship (NRT) collaborative award to four South Dakota universities (South Dakota School of Mines and Technology, University of South Dakota, South Dakota State University and Dakota State University) will provide graduate students with the scientific knowledge and professional skills and training needed to become next-generation leaders in the fight against counterfeiting. Participants will receive professional and leadership training within the framework of a unique cyber-physical-social model. This model takes a comprehensive approach that factors in not only the technical aspects of the cyber strategies and physical methods used to combat counterfeiting, but also whether these strategies and methods are compatible with human behavior. This model will allow trainees to solve complex problems, where the solutions must tightly integrate cyber, physical, and social interactions in real-time. The project anticipates training forty-five (45) Ph.D. and M.S. students, including thirty (30) funded trainees, from physical science, engineering, computer science and behavioral science.Trainees will be immersed in a mission-driven framework to conduct research across three collaborative research areas: (1) nano-photonics for anti-counterfeiting and authentication, (2) identification and detection of counterfeit chemicals/pharmaceutics, and (3) internet-based investigations, digital forensics and the cyber/physical interface. The education and training program encompasses two overarching themes: (1) active learning and (2) translational understanding of the illicit economy and the technologies needed to mitigate it. Embedded within these themes is a leadership component involving explicit training in entrepreneurship and communication. Additional highlights of the program include an internship experience with leading private/public sector organizations that will allow trainees to quickly gain a contextual understanding of the counterfeiting epidemic and technology landscape; an integrated and multi-level mentorship program to provide trainees with ongoing feedback and guidance, promoting retention and timely matriculation; and engagement of a broader audience through creation of outreach and certificate programs for the general public. These program features will ensure trainees emerge as highly-trained STEM leaders, engaged in a wide array of important interconnected issues, and able to tackle complex socio-technical challenges. The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.This proposal is co-funded by the Established Program to Stimulate Competitive Research (EPSCoR). EPSCoR co-funds projects that advance excellence in science and engineering research and education. Fostering sustainable increases in research, education, and training capacity and competitiveness within EPSCoR jurisdictions will enable EPSCoR participants to have increased engagement in areas supported by the NSF.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.

伪造的负面影响是广泛的，几乎触及了包括医疗保健在内的每个经济部门，并威胁了我们的国家安全。非法经济的爆炸式增长可以追溯到在线贸易的增长以及流氓互联网参与者的“滥用生态系统”，直接面向消费者的快递服务以及缺乏产品保护措施来抵消伪造的伪造。造假者（例如更高分辨率的数字打印机）可用的新数字工具进一步推动了这种增长。 这项国家科学基金会研究培训（NRT）合作奖授予南达科他州的四所大学（南达科他州矿业和技术学院，南达科他大学，南达科他州州立大学和达科他州立大学）将为研究生提供科学知识知识，专业技能和培训，以成为下一代领导者，以在对抗合作的战斗中成为下一代领导者。 参与者将在独特的网络物理社会模型的框架内接受专业和领导培训。 该模型采用了一种全面的方法，不仅会影响网络策略的技术方面和用于打击假冒伪造的物理方法的技术方面，还可以考虑这些策略和方法是否与人类行为兼容。该模型将使受训者能够解决复杂的问题，在这种问题中，解决方案必须实时紧密整合网络，身体和社交互动。该项目预计将培训45（45）博士学位。和M.S. students, including thirty (30) funded trainees, from physical science, engineering, computer science and behavioral science.Trainees will be immersed in a mission-driven framework to conduct research across three collaborative research areas: (1) nano-photonics for anti-counterfeiting and authentication, (2) identification and detection of counterfeit chemicals/pharmaceutics, and (3) internet-based investigations, digital forensics and the cyber/physical 界面。 教育和培训计划包括两个总体主题：（1）积极学习和（2）对非法经济的翻译理解以及减轻它所需的技术。 这些主题中嵌入的是一个领导成分，涉及企业家和沟通方面的明确培训。 该计划的其他重点包括在领先的私营/公共部门组织中实习经验，这将使受训人员能够快速获得对伪造流行病和技术格局的上下文理解；一项综合和多层次的指导计划，旨在为受训者提供持续的反馈和指导，从而促进保留和及时入学；以及通过为公众创建外展和证书计划来参与更广泛的受众。 这些计划的功能将确保受训者成为受过良好训练的STEM领导者，从事各种重要的互连问题，并能够应对复杂的社会技术挑战。 NSF研究训练（NRT）计划旨在鼓励开发和实施用于STEM研究生教育培训的大胆，新的潜在变革模型。该计划致力于通过全面的跨学科研究领域的STEM研究生进行有效的培训，这是通过创新，基于循证的综合训练模型与不断变化的劳动力和研究需求保持一致的。该提案由既定计划（EPSCOR）的既定计划共同资助。 EPSCOR共同基金会项目可以提高科学和工程研究和教育方面的卓越表现。促进EPSCOR管辖区内的研究，教育和培训能力以及竞争力的可持续增长将使Epscor参与者能够增加参与NSF支持领域的参与。该奖项反映了NSF的法定任务，并认为通过基金会的知识分子和更广泛的影响，可以通过评估通过评估来进行评估。

项目成果

Manganese-doped zinc germanate phosphors with vivid luminescent properties for anti-counterfeit applications

• DOI: 10.1016/j.optmat.2023.114036
• 发表时间: 2023-08
• 期刊: Optical Materials
• 影响因子: 3.9
• 作者: Zishen Yang;Levi D. Spencer;Delaney R. Patocka;Anjaneyulu Putta;E. E. Schnetzer-E.;J. Kellar;Chaoyang Jiang