NRT-AI: AI Advancements and Convergence in Computational, Environmental, and Social Sciences (AI-ACCESS)

NRT-AI：人工智能在计算、环境和社会科学领域的进步和融合 (AI-ACCESS)

• 批准号: 2244165
• 负责人: William Yeoh
• 金额: $ 299.01万
• 依托单位: Washington University
• 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: 2023-07-15 至 2028-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2244165&HistoricalAwards=false
• 关键词: NRT; AI; Advancements; Convergence; Computational

Emerging AI and computational tools have the potential to bring about significant transformation of scientific practice, especially in the environmental and social sciences. In fact, the very nature of important questions in those fields are themselves shifting as social systems are increasingly embedded within computational platforms that mediate daily human activity. However, while huge datasets are rapidly becoming commonplace across the environmental and social sciences, the right methods for understanding data generated by human behavior, as well as accessible tools for studying them, are lacking. In response to this urgent need, this National Science Foundation Research Traineeship (NRT) award establishes the AI Advancements and Convergence in Computational, Environmental, and Social Sciences (AI-ACCESS) NRT Program at Washington University in St. Louis (WashU) in collaboration with University of Houston-Downtown (UHD). The AI-ACCESS program will prepare a cohort of new investigators, trained at the intersection of AI, environmental science, and social sciences, with the skills to capitalize on the synergy in the convergence of AI and environmental social science. The program anticipates training forty-nine (49) doctoral students, including twenty-four (24) funded trainees. AI-ACCESS trainees will fill a growing need for organizations that aspire to develop data-driven policies and computational algorithms to address environmental and social challenges.The AI-ACCESS program leverages WashU's graduate programs in computer science, environmental science, environmental engineering, public health, and social work to develop a new transformative training program with transdisciplinary education, research, and mentoring opportunities. The program includes prefatory courses in AI and machine learning, statistical and causal inference, and environmental sustainability; required courses in communication, teamwork, and ethics; and specialization in one of three research tracks -- computational sciences, environmental sciences, and social sciences. The program also includes recruitment efforts focused on increasing diversity through outreach and by exploiting the synergistic potential between the REU site at WashU and partner UHD, a minority-serving institution; diversity retention efforts through community building activities and peer support programs; and diversity training efforts to ensure that all AI-ACCESS personnel belong in a diverse, inclusive, and connected environment.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.

新兴的AI和计算工具有可能对科学实践进行重大转变，尤其是在环境和社会科学中。实际上，这些领域重要问题的本质本身正在转移，因为社会系统越来越多地嵌入到调节日常人类活动的计算平台中。但是，尽管在环境和社会科学中迅速迅速变得司空见惯，但缺乏理解人类行为产生的数据以及可访问的工具的正确方法。为了应对这一迫切需求，这项国家科学基金会研究训练（NRT）奖在圣路易斯大学（WASHU）的华盛顿大学（WASHU）与休斯顿大学（University of Houston-Downtown）合作，建立了AI的进步和融合NRT计划NRT计划的AI进步和融合。 AI-ACESS计划将准备一系列新的调查人员，并在AI，环境科学和社会科学的交集中进行了培训，并具有利用AI和环境社会科学的协同作用的技能。该计划预计培训了49（49）个博士生，包括二十四（24）名资助的学员。 AI-Access学员将满足渴望制定数据驱动政策和计算算法的组织的需求，以应对环境和社会挑战。AI-Access计划利用WASHU在计算机科学，环境科学，环境工程，公共卫生，公共卫生和社会工作中开发新的变革性培训计划，以开发一项新的变革性培训，以开发一项新的变革性培训，以开发一项新的变革性培训计划，并进行了跨学科的教育，研究，研究，研究，并进行了评估。该计划包括AI和机器学习，统计和因果推断以及环境可持续性的预言课程；所需的沟通，团队合作和道德课程；以及在三个研究轨道之一中的专业化 - 计算科学，环境科学和社会科学。该计划还包括招聘工作，重点是通过宣传来增加多样性，并利用REU网站Washu与少数派服务机构的合作伙伴UHD之间的协同潜力；通过社区建设活动和同伴支持计划的多样性保留工作；多样性培训工作以确保所有AI-Access人员都属于多样化，包容和联系的环境。NSF研究训练（NRT）计划旨在鼓励开发和实施大胆的，新的潜在变革性的STEM研究生教育培训模型。该计划致力于通过全面的跨学科或收敛性研究领域的STEM研究生进行有效培训，通过全面的培训模型，这些模型具有创新性，基于循证的，并且与不断变化的劳动力和研究需求保持一致。该奖项反映了NSF的法定任务，并通过使用基金会的知识优点和广泛影响来评估NSF的法定任务，并被视为值得的支持。