Northern States Mathematical Biology Workshop: Stochastic Spatial Dynamics in Biology

该奖项将支持2021年10月14日至15日的会议（https：//math.usu.edu/spatialdynamics），该会议将为研究生和本科生以及早期职业和经验丰富的数学生物学家和理论生物学家提供机会，学习创新的研究技术和观点，涉及建模，分析和模拟生物系统空间动力学现代研究中出现的问题和问题。该讲习班将加强和充实讲习班和会议机会较少的地理区域的科学人员。与美国其他人口稠密地区不同，来自北方各州（蒙大拿州、北达科他州、南达科他州、怀俄明州和犹他州）的学生和初级研究人员参加会议和其他学术活动的机会较少，这通常是由于地理位置的限制。本次研讨会的科学重点是发现空间随机建模，分析和模拟的新技术和方法的现象之间的类比，以及明确的空间和内在随机的新兴生态问题。生物空间过程的动力学描述之间的相似性的探索可能会创造新的和有趣的研究机会，从特定的见解和观点出现。很明显，运动生态学的现代发展在很大程度上依赖于新的理论和创新的计算工具，这些工具允许在不同的空间和时间尺度上仔细观察复杂的生物过程。虽然目前先进的随机观点带来了生物学中的分子，遗传，细胞和生理机制的数学理解的进展，这些技术中的许多尚未应用于生态或环境相关的规模。 与此同时，由于遥感技术的进步和准确分辨个人运动的能力，现有的空间参照生态和环境数据有了巨大的增长。 因此，有一个新的机会，在定量运动/景观生态学和现代随机数学生物学之间的边界进行新的研究。 本次研讨会的主题是向新一代的数学生物学家介绍新的随机技术，并向参与运动和景观生态学当前问题和数据的研究人员介绍。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This award will support a conference on October 14-15 2021 (https://math.usu.edu/spatialdynamics) that will provide an opportunity for graduate and undergraduate students, as well as early-career and experienced mathematical biologists and theoretical biologists, to learn innovative research techniques and perspectives on advanced topics that involve the modeling, analysis, and simulation of problems and questions emerging in modern studies of spatial dynamics in biological systems. The workshop will strengthen and enrich science personnel in a geographic region that has fewer workshop and conference opportunities. Unlike other, more densely populated areas in the United States, students and junior researchers from the northern states (Montana, North Dakota, South Dakota, Wyoming, and Utah) have fewer opportunities to attend conferences and other academic events, often due to geographical limitations. The scientific focus of this workshop is the discovery of analogies between phenomena for which new techniques and methods for spatial stochastic modeling, analysis, and simulation have been elaborated, and the emerging ecological problems that are explicitly spatial and inherently random. The exploration of similarities between the dynamical descriptions of biological spatial processes potentially creates new and interesting research opportunities emerging from specific insights and perspectives. It is apparent that modern developments in movement Ecology heavily rely on new theoretical and innovative computational tools that allow a closer look at complex biological processes at different space and time scales. Although current advanced stochastic perspectives have brought progress in mathematical understandings of molecular, genetic, cellular and physiological mechanisms in biology, many of these techniques have not been yet applied at ecologically or environmentally relevant scales. At the same time, there is a tremendous growth in spatially referenced ecological and environmental data available, driven by advances in remote sensing technology and the capacity to accurately resolve individual motion. There is therefore a novel opportunity for new research at the boundary between quantitative movement/landscape ecology and modern stochastic mathematical biology. The theme of this workshop is to introduce a new generation of mathematical biologists to both new stochastic techniques and also to researchers involved with current questions and data in movement and landscape ecology.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.