Conference: SciSIP Conference on Modelling Science, Technology, and Innovation, May 2016

会议：SciSIP 科学、技术和创新建模会议，2016 年 5 月

• 批准号: 1546824
• 负责人: Katy Borner
• 金额: $ 4.88万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1546824&HistoricalAwards=false
• 关键词: Conference; SciSIP; Modelling; Science; Technology

Science policy is concerned with the need to allocate resources, both monetary and human, in an effective way to foster innovation. Advances in computational power combined with the availability of big data on science and technology developments create ideal conditions for the advancement of computational modeling approaches that can be empirically validated and used to understand and predict future developments in science, technology, and innovation. The conference will apply a systems-science approach to review mathematical, statistical, and computational models and discuss the creation of an up-to-date inventory of methods and tools available to model the future direction of STI.This conference will bring together leading experts from economics, social science, scientometrics and bibliometrics, information science, physics, and science policy that focus on developing mathematical, statistical, and computational models of different types (stochastic, agent-based, epidemics, game-theoretic, network. etc.) to increase our understanding of the structure and dynamics of science, technology, and innovation. The conference will invite participation from federal funding, university administrators and other science policy makers, to help identify potential grand challenges.

科学政策关注的是需要以有效的方式分配资源，包括货币和人力资源，以促进创新。计算能力的进步以及关于科学和技术发展的大数据的可获得性为计算建模方法的进步创造了理想的条件，这些方法可以得到经验验证，并用于理解和预测未来的科学、技术和创新发展。会议将应用系统科学的方法来回顾数学、统计和计算模型，并讨论如何创建可用于对STI的未来方向进行建模的最新方法和工具清单。本次会议将汇集来自经济学、社会科学、科学计量学和文献计量学、信息科学、物理学和科学政策的顶尖专家，他们专注于开发不同类型(随机的、基于代理人的、流行病的、博弈论的、网络的)数学、统计和计算模型。等)增进我们对科学、技术和创新的结构和动力的理解。会议将邀请联邦基金、大学管理人员和其他科学政策制定者参加，以帮助确定潜在的重大挑战。