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

科学政策关注的是需要以有效的方式分配资金和人力资源，以促进创新。计算能力的进步与科学技术发展大数据的可用性相结合，为计算建模方法的进步创造了理想的条件，这些方法可以通过经验验证并用于理解和预测科学，技术和创新的未来发展。会议将采用系统科学的方法来审查数学，统计和计算模型，并讨论创建一个最新的方法和工具清单，以模拟科技创新的未来方向。这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主要专家，重点是发展数学，统计，和不同类型的计算模型（随机的，基于代理的，流行病，博弈论，网络。等等）。增加我们对科学，技术和创新的结构和动态的理解。会议将邀请来自联邦基金、大学管理人员和其他科学政策制定者的参与，以帮助确定潜在的重大挑战。

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.