Nonlinear and Non-local Models in Social and Ecological Systems

社会和生态系统中的非线性和非局部模型

• 批准号: 1909638
• 负责人: Nancy Rodriguez
• 金额: $ 30.18万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-15 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1909638&HistoricalAwards=false
• 关键词: Nonlinear; Non; local; Models; Social

The goal of this project is the introduction of a theoretical framework to understand and predict macroscopic patterns that are formed in many complex social and ecological systems. This research is motivated primarily be the two phenomena: the social and environmental interactions in social animals that lead to development of territorial patterns; development of urban gentrification patterns. Although conceptually different, these phenomena will be modeled by very similar mathematical models that fit into the framework of reaction-advection-diffusion (RAD) systems. RAD systems are the focus of this research; their use will help to gain insight into complex social and ecological systems where there is a need to understand macroscopic patterns. In this framework the PI will work on incorporating real-world data to extract objective information that will help shed light into what are the most influential factors leading to the complex patterns which are observed in ecology and sociology. Associated to this research project is a mentoring plan focused on advising underrepresented minority students at University of Colorado Boulder majoring in a STEM field. This will mainly be done through the initiation of a Society of Chicanos and Native Americans in the Science chapter. The aim is to provide these students with a network that can help them succeed in STEM. The overarching objective of this research is to develop, analyze, and simulate reaction-advection-diffusion (RAD) systems based on real-life observations and data. For example, RAD systems that are data-driven must include heterogeneities (spatial and temporal) as well as nonlocal operators, posing significant mathematical and computational challenges. RAD systems also provide a perfect framework to test hypothesis postulated by researchers in other fields, since their solutions can serve as a probability density function for the use of various methodologies, such as maximum likelihood estimation, to fit parameters to data. The PI will take advantage of this framework to develop an infrastructure (theory, algorithms, and software) targeted toward ecologists and social scientists that will validate RAD-type models by fitting them to data using appropriate statistical techniques. This research will contain three interrelated projects: the first one will be centered around the modeling of social and environmental interactions in social animals in order to understand territorial patterns through the use of non-local and heterogeneous RAD systems; the focal point of the second project will be on the development of a methodology and numerical framework to incorporate (social) data in order to test hypothesis developed by sociologists, with gentrification as a first case study; the final project will focus on developing the theory for non-local reaction-diffusion equations that arise from birth-jump processes, which are very suitable models for processes for which birth and dispersal cannot be separated.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.

该项目的目标是引入一个理论框架，以理解和预测在许多复杂的社会和生态系统中形成的宏观模式。本研究的动机主要是两种现象：社会动物的社会和环境相互作用导致领土模式的发展;城市绅士化模式的发展。虽然概念上不同，这些现象将被模拟非常相似的数学模型，适合到反应-平流-扩散（RAD）系统的框架。RAD系统是本研究的重点;它们的使用将有助于深入了解需要了解宏观模式的复杂社会和生态系统。在这个框架内，PI将致力于整合真实世界的数据，以提取客观信息，这将有助于揭示导致生态学和社会学中观察到的复杂模式的最有影响力的因素。 与这个研究项目相关的是一个指导计划，重点是为科罗拉多博尔德大学STEM专业的少数民族学生提供建议。 这将主要通过在科学章节中发起一个奇卡诺人和美洲原住民协会来实现。 其目的是为这些学生提供一个网络，可以帮助他们在STEM成功。 这项研究的首要目标是开发，分析和模拟反应-平流-扩散（RAD）系统的基础上，现实生活中的观测和数据。 例如，数据驱动的RAD系统必须包括异质性（空间和时间）以及非局部算子，这带来了重大的数学和计算挑战。 RAD系统还提供了一个完美的框架来测试其他领域的研究人员所假设的假设，因为他们的解决方案可以作为一个概率密度函数，用于使用各种方法，如最大似然估计，以适应参数的数据。PI将利用这一框架来开发一个基础设施（理论，算法和软件），目标是生态学家和社会科学家，通过使用适当的统计技术将它们与数据拟合来验证RAD类型的模型。 本研究将包含三个相互关联的项目：第一个项目将围绕社会动物的社会和环境相互作用的建模，以便通过使用非本地和异构RAD系统来理解领土模式;第二个项目的重点将是制定一个方法和数字框架，数据，以测试社会学家提出的假设，与绅士化作为第一个案例研究;最后的专题将集中于发展由出生-跳跃过程产生的非局部反应扩散方程的理论，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评估来支持。影响审查标准。

项目成果

ON EQUILIBRIUM SOLUTIONS TO NONLOCAL MECHANISTIC MODELS IN ECOLOGY

• DOI: 10.11948/20200269
• 发表时间: 2021-12-01
• 期刊: JOURNAL OF APPLIED ANALYSIS AND COMPUTATION
• 影响因子: 1.1
• 作者: Ellefsen, Erin;Rodriguez, Nancy
• 通讯作者: Rodriguez, Nancy

Relaxation by nonlinear diffusion enhancement in a two-dimensional cross-diffusion model for urban crime propagation

• DOI: 10.1142/s0218202520500396
• 发表时间: 2020-05
• 期刊: Mathematical Models and Methods in Applied Sciences
• 影响因子: 3.5
• 作者: N. Rodríguez;M. Winkler

Understanding the Effects of On- and Off-Hotspot Policing: Evidence of Hotspot, Oscillating, and Chaotic Activities

• DOI: 10.1137/20m1359572
• 发表时间: 2021-01
• 期刊: SIAM J. Appl. Dyn. Syst.
• 作者: N. Rodríguez;Qi Wang;Lulu Zhang

Traveling wave solutions in a model for social outbursts in a tension‐inhibitive regime

紧张抑制政权中社会爆发模型中的行波解决方案

• DOI: 10.1111/sapm.12394
• 发表时间: 2021
• 期刊: Studies in Applied Mathematics
• 影响因子: 2.7
• 作者: Bakhshi, Marzieh;Ghazaryan, Anna;Manukian, Vahagn;Rodriguez, Nancy
• 通讯作者: Rodriguez, Nancy

THE EFFECT OF DIRECTED MOVEMENT ON THE STRONG ALLEE EFFECT

• DOI: 10.1137/20m1330178
• 发表时间: 2021-01-01
• 期刊: SIAM JOURNAL ON APPLIED MATHEMATICS
• 影响因子: 1.9
• 作者: Cosner, Chris;Rodriguez, Nancy
• 通讯作者: Rodriguez, Nancy