IRES Track II: Complexity advanced studies institute - Germany, Austria, Italy, Netherlands (Complexity-GAINs)

IRES Track II：复杂性高级研究机构 - 德国、奥地利、意大利、荷兰 (Complexity-GAINs)

• 批准号: 2106013
• 负责人: David Krakauer
• 金额: $ 40万
• 依托单位: Santa Fe Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2106013&HistoricalAwards=false
• 关键词: IRES; Track; II; Complexity; advanced

Many challenges in the world today – disease dynamics, collective and artificial intelligence, belief propagation, financial risk, national security, and ecological sustainability – exceed traditional academic disciplinary boundaries and demand a rigorous understanding of complexity. Complexity science, as pioneered at the Santa Fe Institute (SFI) and elsewhere, aims to quantitatively describe and understand the adaptive, evolvable and thus hard-to-predict behaviors of complex systems. One of the greatest lessons of 2020 is how critical this kind of understanding is to our society. We require a scientific workforce capable of integrating theory from biology, social sciences, physics and computer science with mathematical and computational modeling. Despite the centrality of complex systems and the importance of diverse perspectives and international collaboration in addressing the challenges facing our world, purposeful opportunities for PhD student training in these areas are sparse. SFI’s 14-day Complexity Advanced Studies Institutes (ASIs)—based centrally in the EU research network—fills this gap by introducing 18 US PhD students and their EU counterparts to the theory and practice of complex systems modeling in an internationally collaborative setting. After completing Complexity ASIs, participants serve as catalysts in the US scientific workforce, advancing the use of complex systems science to solve imminent problems facing our society and the world.Complexity ASIs leverage the transdisciplinary ideas, expert faculty, proven training capacity and international reach of SFI, in collaboration with four leading complex systems research institutions in Germany, Austria, Italy and the Netherlands (GAINs) and located centrally in Vienna, Austria. The Complexity-GAINs partnership expands the faculty’s expertise and perspective, gives students access to influential international research partners, and strengthens collaboration among institutions. Students gain foundational knowledge and practice in modeling complex systems of interest through a combination of lectures, discussions, skills tutorials, peer-group problem-solving and hands-on mentored research. The annual program, operating over three years, focuses on different systems each year—intelligent systems, social-behavioral systems, ecosystems—and provides students with broadly applicable tools to recognize and define the universal properties of all complex systems. Following participation in Complexity-GAINs ASIs, PhD students are equipped to (1) describe and better predict the behavior of a complex system through mathematical or computational modeling; and (2) leverage interdisciplinary, international partnerships to achieve shared research and applied goals. The international nature of the program is essential to both goals and will ensure that early-career US researchers are prepared to address complex systems beyond disciplinary and geographic boundaries. An associated outcome of the program is the establishment of a complex systems curriculum and accompanying instructional content for broad dissemination.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.

当今世界的许多挑战——疾病动态、集体和人工智能、信仰传播、金融风险、国家安全和生态可持续性——超越了传统的学术学科界限，需要对复杂性科学的严格理解，正如圣达菲所开创的那样。研究所（SFI）和其他机构的目标是定量描述和理解复杂系统的适应性、可进化性和难以预测的行为，2020 年最重要的教训之一是这种理解对我们的社会是多么重要。一个科学的尽管复杂系统处于中心地位，并且不同观点和国际合作在应对我们世界面临的挑战方面也很重要，但博士生培训的目标明确的机会。 SFI 为期 14 天的复杂性高级研究所 (ASI) 位于欧盟研究网络的中心，通过向 18 名美国博士生及其欧盟同事介绍复杂系统建模的理论和实践，填补了这一空白。完成复杂性 ASI 后，参与者将成为美国科学队伍的催化剂，推动复杂系统科学的应用，解决我们社会和世界面临的迫在眉睫的问题。复杂性 ASI 利用跨学科思想、专家师资和经过验证的培训能力。 SFI 与德国、奥地利、意大利和荷兰的四个领先的复杂系统研究机构 (GAINs) 合作，位于奥地利维也纳市中心，其复杂性和 GAINs 合作伙伴关系扩大了教师的专业知识和视野，为学生提供了丰富的专业知识和视野。接触有影响力的国际研究伙伴，并加强机构之间的合作，通过讲座、讨论、技能教程、同行小组问题解决和年度实践指导研究的结合，获得建模感兴趣的复杂系统的基础知识和实践。该项目运行三年多，每年重点研究不同的系统——智能系统、社会行为系统、生态系统——并为学生提供广泛适用的工具，以在参与复杂性增益 ASI 后识别和定义所有复杂系统的通用属性。 ,博士生有能力（1）通过数学或计算模型描述和更好地预测复杂系统的行为；（2）利用跨学科的国际合作伙伴关系来实现共同的研究和应用目标。该计划的一个相关成果是建立了复杂的系统课程和随附的教学内容以供广泛传播。该奖项反映了 NSF 的法定规定。使命并被认为值得支持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。