Convergent Paths Toward Universality in Complex Systems

复杂系统中通向通用性的收敛路径

• 批准号: 2002935
• 负责人: David Krakauer
• 金额: $ 8.47万
• 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: 2019
• 资助国家: 美国
• 起止时间: 2019-12-15 至 2020-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2002935&HistoricalAwards=false
• 关键词: Convergent; Paths; Toward; Universality; Complex

The workshop,"Convergent Paths towards Universality in Complex Systems", will bring together scientists from very diverse disciplinary backgrounds, including psychologists, physicists, ecologists, biologists, computer scientists, mathematicians, information theorists, and others to articulate a convergence approach to explore the recent discovery of universal or near-universal properties of complex systems. The two-day workshop, to be held in the Washington D.C. area will address universality in four primary areas: Information Processing and Collective Computation, Adaptive Dynamics, Scaling and Interactions and Energetics. The workshop will contribute new perspectives on universality and will be an important and necessary step in the identification of further research necessary for discovery in these converging fields. The results of this project will achieve broad impact through the workshop's contributions to increased insight into universality. Results of the workshop will be distributed broadly to a wide range of audiences through peer-reviewed reports, media announcements, and lectures at SFI's workshops and schools attended by academics, policymakers, and other stakeholders. The workshop will also be videotaped for dissemination via the SFI website and YouTube channel as well as for use in SFI sponsored training. Invited workshop participants will include a very diverse range of participants in order to achieve diversity across a number of dimensions, including faculty rank, gender, underrepresented groups and institutional diversity. This approach will facilitate the scientific and professional development of early career researchers as well as the inclusion of scientists from traditionally underrepresented groups. The workshop will bring together research leaders across diverse disciplines for intensive discussions aimed at exploration of common mechanisms underlying a range of features of complex systems. The recent widespread adoption of information-theory, scaling theory, non-equilibrium statistical mechanics, and the theory of computation, in fields that go far beyond their disciplinary origins suggests a significant convergence that points toward universality. This meeting will focus on the most successful examples of unification and seek to explore their basis and generalization. The meeting will identify tools, models and theories that extend beyond the boundaries of single disciplines, and thereby provide significant improvements through novel approaches, to progress within any given field.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.

该研讨会名为“在复杂系统中走向普遍性的收敛路径”，将汇集来自不同学科背景的科学家，包括心理学家，物理学家，生态学家，生物学家，计算机科学家，数学家，信息理论家和其他人，以阐明一种收敛方法来探索复杂系统的普遍或接近普遍的特性的最新发现。为期两天的研讨会将在华盛顿地区举行，将讨论四个主要领域的普遍性：信息处理和集体计算，自适应动力学，缩放和相互作用以及能量学。讲习班将提出关于普遍性的新观点，并将是确定在这些趋同领域进行发现所需的进一步研究的重要和必要的一步。该项目的成果将通过讲习班对提高对普遍性的认识的贡献而产生广泛影响。研讨会的成果将通过同行审查报告、媒体公告以及在由学者、决策者和其他利益攸关方参加的自立促进会研讨会和学校的讲座，广泛传播给广大受众。讲习班还将录像，通过自立扶持基金会网站和YouTube频道传播，并用于自立扶持基金会赞助的培训。受邀参加研讨会的人员将包括各种各样的参与者，以便在多个方面实现多样性，包括教师级别，性别，代表性不足的群体和机构多样性。这种做法将促进早期职业研究人员的科学和专业发展，并将传统上代表性不足的群体的科学家纳入其中。研讨会将汇集不同学科的研究领导者进行深入讨论，旨在探索复杂系统的一系列特征的共同机制。最近，信息论、标度理论、非平衡统计力学和计算理论在远远超出其学科起源的领域中的广泛采用表明了一种指向普遍性的重要趋同。这次会议将集中讨论最成功的统一范例，并寻求探讨其基础和普遍性。 该会议将确定超越单一学科界限的工具、模型和理论，从而通过新颖的方法为任何特定领域的进步提供重大改进。该奖项反映了NSF的法定使命，并被认为值得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来支持。