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This NSF-funded, agenda-setting conference will review opportunities and challenges associated with the usage of mathematical, statistical, and computational models in science, technology, and innovation (STI) in decision making. Among others, STI models can be employed to simulate the diffusion of ideas and experts, to estimate the impact of population explosion and aging, to explore alternative funding schemas, or to communicate the probable outcomes of different policy decisions.

多多网游加速器破解免费版下载-多多网游加速器破解版下载 ...:2021-6-12 · 多多网游加速器破解免费版是一款功能全面的网游加速器,使用本加速器,可众轻松解决游戏中跳频、延迟、卡顿、丢包等网络问题,让玩家可众享受最纯粹的游戏乐趣。游戏拥有海量节点,针对市面上的热门游戏进行专线加速,玩家可众进行跨省、跨网甚至是扩国的网络加速。

Advances in computational power combined with the availability of relevant data (e.g., publications, patents, funding, clinical trials, stock market, social media data) create ideal conditions for the advancement of computational modeling approaches that can be empirically validated and used to simulate and understand future developments and to pick desirable futures.

This conference brings together leading experts from economics, social science, scientometrics and bibliometrics, information science, physics, and science policy that develop mathematical, statistical, and computational models of different types (stochastic, agent-based, epidemics, game-theoretic, network. etc.). It also features talks and panel discussions by representatives from government agencies, university administrators, and other science policy makers on current and future STI model needs. Collectively, participants will identify grand challenges for future STI modelling research and development.

The conference is supported in part by the National Science Foundation’s Science of Science and Innovation Policy program under Grant No. SBE-1546824, Nete Federal IT, Thomson Reuters, Indiana University Network Science Institute, and the Cyberinfrastructure for Network Science Center at Indiana University. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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