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NeuralStorm: Taking Neuroengineering by Storm

NeuralStorm：掀起神经工程风暴

基本信息

批准号：
2152260
负责人：
Karen Moxon
金额：
$ 300万
依托单位：
University of California-Davis
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=2152260&HistoricalAwards=false
关键词：
NeuralStorm Taking Neuroengineering Storm

项目摘要

Neuroengineering has the potential to transform society at all levels by restoring function for people with neural deficits, disease, or injury while also providing unprecedented insights into brain function. However, it is becoming increasingly clear that the analysis of large datasets (e.g., from brain imaging or other observations of brain signals) on which the development of exciting neural technologies are based will need targeted design of data processing, machine learning tools, and artificial intelligence approaches. Therefore, there is a need for a convergent science curriculum that leverages the latest advances in team-based science to create a workforce capable of optimizing advances made in neuroengineering to maximize the impact of this field for the broadest possible segments of society. This NSF Research Traineeship (NRT) project, NeuralStorm, is addressing several of NSF’s research challenges, including Harnessing the Data Revolution, Growing Convergence Research, and The Future of Work at the Human-Technology Frontier, by developing a graduate curriculum that allows students to gain expertise within a specific area (e.g., computer science, engineering, medicine) while also contributing to cross-disciplinary problem-solving in neuroengineering. The project anticipates training 70 Ph.D. and 20 masters’ students, including 30 funded trainees, from computer science, engineering, neuroscience, and psychology. The NeuralStorm project will bring together trainees from broad academic backgrounds with three objectives. First is to ensure they are grounded in the complex neuroethical issues associated with interfacing the nervous system. Second is to equip the students with intelligent communication skills that allow them to work effectively across fields. Third is to prepare them to navigate the expected rapid advances in technology throughout their careers in a way that ensures the resulting neurotechnology has the greatest, positive impact for society. NeuralStorm has the potential to revolutionize the way neuroengineers work by enhancing collaboration in multi-disciplinary teams, evaluating user performance and quality of life changes, and assessing the best ways to bring products to market at a reasonable cost to impact broad and diverse segments of society positively. This curriculum will train students to know and understand the various resources available to them, have intelligent conversations about impact across a broad and diverse segment of society, understand how to evaluate and use new advances, and create a reservoir of information that will be made available on a website and through publications, seminars, and workshops. Finally, the leadership team will work to package the convergent ideals of this program for other fields beyond neuroengineering. These training elements will connect evidence-based educational activities to program goals and use rigorous assessment and adaptive learning to ensure success.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.

神经工程有潜力通过恢复神经缺陷、疾病或损伤患者的功能来改变各个层面的社会，同时还提供对大脑功能的前所未有的见解。然而，越来越明显的是，大型数据集（例如，从大脑成像或其他大脑信号的观察），而令人兴奋的神经技术的发展是基于这一点，将需要有针对性的设计数据处理，机器学习工具和人工智能方法。因此，需要一个融合的科学课程，利用团队科学的最新进展，创造一支能够优化神经工程进展的劳动力队伍，以最大限度地发挥这一领域对社会最广泛阶层的影响。这个NSF研究培训（NRT）项目，NeuralStorm，正在解决NSF的几个研究挑战，包括利用数据革命，不断增长的融合研究和人类技术前沿工作的未来，通过开发研究生课程，让学生获得特定领域的专业知识（例如，计算机科学，工程，医学），同时也有助于解决神经工程中的跨学科问题。该项目预计将培养70名博士。硕士研究生20人，其中资助学员30人，来自计算机科学，工程，神经科学和心理学等专业。NeuralStorm项目将汇集来自广泛学术背景的学员，目标有三。首先是确保它们以与神经系统接口相关的复杂神经伦理学问题为基础。其次是让学生具备智能沟通技能，使他们能够有效地跨领域工作。第三，让他们做好准备，在整个职业生涯中应对技术的快速发展，确保由此产生的神经技术对社会产生最大的积极影响。NeuralStorm有可能通过加强多学科团队的协作，评估用户性能和生活质量变化，并评估以合理成本将产品推向市场的最佳方式，从而彻底改变神经工程师的工作方式，从而积极影响广泛而多样化的社会阶层。该课程将培养学生了解和理解提供给他们的各种资源，对社会广泛而多样化的影响进行明智的对话，了解如何评估和使用新的进步，并创建一个信息库，该信息库将在网站上提供，并通过出版物，研讨会和讲习班。最后，领导团队将致力于将该计划的融合理念包装到神经工程以外的其他领域。这些培训要素将基于证据的教育活动与计划目标联系起来，并使用严格的评估和适应性学习来确保成功。NSF研究培训生（NRT）计划旨在鼓励开发和实施大胆的、新的潜在变革模式，用于STEM研究生教育培训。该计划致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求相一致的综合培训模式，在高优先级的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NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。