Computational Social Science Capstone Project

所在平台: CourseraArchive

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大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/css-capstone

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Getting Started and Milestone 1
Milestone 2
Milestone 3
Milestone 4

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CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science. We will put these skills to work in this final integrative lab, where we are bringing it all together. We scrape data from a social media site (drawing on the skills obtained in the 1st course of this specialization). We then analyze the collected data by visualizing the resulting networks (building on the skills obtained in the 3rd course). We analyze some key aspects of it in depth, using machine learning powered natural language processing (putting to work the insights obtained during the 2nd course). Finally, we use a computer simulation model to explore possible generative mechanism and scrutinize aspects that we did not find in our empirical reality, but that help us to improve this aspect of society (drawing on the skills obtained during the 4th course of this specialization). The result is the first glimpse at a new way of doing social science in a digital age: computational social science. Congratulations! Having done all of this yourself, you can consider yourself a fledgling computational social scientist!

计算社会科学的顶点项目:恭喜!您不仅完成了我们的知识之旅,而且到目前为止,您已经具备了执行综合的计算社会科学的多方法工作流所需的全部技能。我们将把这些技能运用到这个最终的集成实验室中,在那里我们将所有这些整合在一起。我们从社交媒体网站上抓取数据(借鉴了本专业第一门课程中获得的技能)。然后,我们通过可视化生成的网络来分析收集的数据(以在第三门课程中获得的技能为基础)。我们使用机器学习提供动力的自然语言处理来深入分析它的一些关键方面(使第二课程中获得的见解发挥作用)。最后,我们使用计算机仿真模型来探索可能的生成机制,并仔细检查我们在实证现实中未发现的方面,但是这些方面可以帮助我们改善社会的这一方面(借鉴本专业第四次课程中获得的技能) 。结果是对数字时代进行社会科学的一种新方式的第一印象:计算社会科学。恭喜你!自己完成所有这些工作后,您可以认为自己是刚起步的计算社会科学家!

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