Interdisciplinary Graduate Training through Research in Artificial Intelligence and Secure Networked Sensing to Mitigate the Crisis of Alcohol and Drug Abuse

通过人工智能和安全网络传感研究进行跨学科研究生培训，以缓解酒精和药物滥用危机

• 批准号: 2152057
• 负责人: Farid Nait-Abdesselam
• 金额: $ 300万
• 依托单位: University of Missouri-Kansas City
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2152057&HistoricalAwards=false
• 关键词: Interdisciplinary; Graduate; Training; through; Research

Alcohol and drug abuse are on the rise around the world, causing serious socioeconomic crises and consequences, such as accidents, homicides, suicides, physical and sexual assaults, or other problems such as anxiety and depression. Existing data for the treatment of alcohol and drug abuse are primarily collected through unreliable self-reports. Other methods are direct measurements on bodily fluids, breath, or sweat, which require penetration through the skin or physical maneuvering, and indirect estimates through interviews and observations. Non-invasive sensing and testing paired with artificial intelligence (AI) techniques offer the promise of vastly improved data collection methods and analysis that in turn can improve treatments. However, the world, and the United States in particular, faces a shortage of trained workforce and innovators in this field. This NSF Research Traineeship (NRT) award will address these needs by preparing master’s and doctoral students to make convergent research contributions in the interdisciplinary fields of artificial intelligence (AI) and secure networked sensing to tackle the growing alcohol and drug crisis, and other social pandemics. The project will provide a unique and comprehensive training opportunity for up to one hundred twenty graduate students, including twenty funded trainees, by combining the disciplines of AI, communication networks, cybersecurity, sensor technologies, interactions with healthcare and legal partners, and a culture of innovation and translational research that considers human factors, law, regulation, communication, and leadership.This project examines the global and national alcohol/drug abuse crisis from a broad perspective, including technological, ethical, legal, and socioeconomic challenges and opportunities. It aims at making radical programmatic changes in the way traditional and non-traditional graduate students are trained. This crisis, which costs in work productivity, healthcare, and law enforcement expenses, requires interdisciplinary research to efficiently collect and assemble data, possibly from diverse sources, and analyze it to extract actionable information while being conscious of contextual factors, such as a consumer's health history, potential criminal record, personal background, and individual data security and privacy. The data aspects of this societal problem pose significant challenges on its collection, e.g., non-invasive sensing, and its secure and privacy-aware data analytics, which are the main research lines of this proposal. The project's students will get practical and multidisciplinary training to prepare them as future skilled professionals in the rapidly growing area of applications of AI and secure networked sensing technologies. The proposed model combines project-based learning techniques, multidisciplinary programs, ethics, civic engagement, leadership, and professional development and dissemination initiatives. The educational model structure will allow students from seven interdisciplinary doctoral and four master's programs to participate in the activities.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 or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.

酒精和药物滥用在世界各地呈上升趋势，造成严重的社会经济危机和后果，如事故、杀人、自杀、身体和性侵犯，或焦虑和抑郁等其他问题。治疗酒精和药物滥用的现有数据主要是通过不可靠的自我报告收集的。其他方法包括直接测量体液、呼吸或汗液，这些方法需要穿透皮肤或身体动作，以及通过访谈和观察间接估计。非侵入性传感和测试与人工智能（AI）技术相结合，有望大大改善数据收集方法和分析，从而改善治疗。然而，世界，尤其是美国，在这一领域面临着训练有素的劳动力和创新者的短缺。这项NSF研究培训（NRT）奖将通过培养硕士生和博士生在人工智能（AI）和安全网络传感等跨学科领域做出融合研究贡献，以解决日益严重的酒精和毒品危机以及其他社会流行病，从而满足这些需求。该项目将结合人工智能、通信网络、网络安全、传感器技术、与医疗保健和法律合作伙伴的互动等学科，以及考虑人为因素、法律、法规、沟通和领导力的创新和转化研究文化，为多达120名研究生（包括20名受资助的学员）提供独特而全面的培训机会。该项目从广泛的角度审视全球和国家酒精/药物滥用危机，包括技术、道德、法律和社会经济方面的挑战和机遇。它旨在彻底改变传统和非传统研究生的培训方式。这一危机造成了工作效率、医疗保健和执法费用方面的损失，需要进行跨学科研究，以有效地收集和组装可能来自不同来源的数据，并对其进行分析，以提取可操作的信息，同时意识到上下文因素，如消费者的健康史、潜在的犯罪记录、个人背景以及个人数据安全和隐私。这一社会问题的数据方面对其收集提出了重大挑战，例如，非侵入式传感及其安全和隐私意识数据分析，这是本提案的主要研究方向。该项目的学生将获得实用的多学科培训，为他们在快速增长的人工智能和安全网络传感技术应用领域成为未来的熟练专业人员做好准备。提出的模式结合了基于项目的学习技术、多学科计划、伦理、公民参与、领导力、专业发展和传播倡议。教育模式结构将允许来自7个跨学科博士和4个硕士专业的学生参与活动。美国国家科学基金会研究实习生（NRT）计划旨在鼓励开发和实施大胆的、具有潜在变革性的STEM研究生教育培训新模式。该项目致力于通过创新、循证、适应不断变化的劳动力和研究需求的综合培训模式，在高优先级跨学科或融合研究领域对STEM研究生进行有效培训。该奖项反映了美国国家科学基金会的法定使命，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。