research proposal-problem of framwork

Q1: how can I reflect "computer science"?

Up to now, I spend a lot of attention on researching traditional methodology, which is similar to paradigm of social science. So I must stop considering my ideas about old questions. For me, it is quite difficult to use algorithms and techologies in computer science, in big data, in machine learning without large-scale dataset. Turning to the role of computer science in computational social science, it is easy but meaning to do valuable works that changing methodology from traditional method to data mining. At the same time, I should focus on description and preditction, which means that I have to master machine learning and solve problem by regression, classification, cluster, and association rules. Application of algorithms can represent computer science, extending the scope of social science and bridging a bridge between natural science and social science. My research is different from soical science. Soical science concerns underlying mechanism and finding driving forces rather than patterns and prediction due to lack of research data and high precise methods.

Methodology: 1) The limiation of social science is uncovering macro patterns and predition. Data: 2) The data in social science is unrepresentative, time-delay, expensive. It means that the meansure may is not good. Comparing to traditional social science, computational social science do well in research methology and data.

1. underlining big data analysis technology, data mining, social network to solve social problem.
2. combining macro data and micro data due to large-scale data.
3. revealing spatial-temprol disparities