Collaborative Research: Modeling from Molecules to Moose: Teaching Students to Develop Agent-Based Simulations in Biology

协作研究：从分子到驼鹿的建模：教学生开发基于代理的生物学模拟

• 批准号: 1140699
• 负责人: Brian White
• 金额: $ 5.27万
• 依托单位: University of Massachusetts Boston
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1140699&HistoricalAwards=false
• 关键词: Collaborative; Research; Modeling; Molecules; Moose

In this collaborative project Worcester Polytechnic Institute and the University of Massachusetts at Boston are joining forces to provide undergraduate students with experience in computational modeling, simulation, and systems approaches to biology. Using StarLogoTNG software, developed at the Massachusetts Institute of Technology, students can represent various levels of biological organization from molecules to cells or even organisms. They can define the rules anticipated to govern the behavior of the designated agents and compare the simulated behavior to that observed experimentally. The closeness of fit estimates the accuracy of the definition of the rules. Through hypothesis testing and successive refinement of the simulation, the important rules are revealed. This hands-on, team-project-oriented approach not only immerses students in engaging learning but also provides an appreciation for the value of mathematics and computational modeling in understanding biology. Ongoing evaluation measures how successful these strategies are at influencing student learning in both a small, private, technological institution and a large public university. Widespread dissemination is anticipated.

在这个合作项目中，伍斯特理工学院和波士顿的马萨诸塞州大学正在联手为本科生提供计算建模，模拟和系统方法生物学方面的经验。 使用马萨诸塞州开发的StarLogoTNG软件，学生可以代表从分子到细胞甚至有机体的各种生物组织水平。 他们可以定义预期的规则来管理指定代理的行为，并将模拟的行为与实验观察到的行为进行比较。 拟合的接近度估计规则定义的准确性。 通过假设检验和模拟的逐步细化，揭示了重要的规律。 这种动手，团队项目为导向的方法不仅沉浸在从事学习的学生，但也提供了数学和计算建模在理解生物学的价值升值。 正在进行的评估措施如何成功地影响学生的学习，无论是在一个小型的，私人的，技术机构和大型公立大学。 预计将广泛传播。