共 2 条
- [1] Granovetter M. S., 1995, GETTING JOB STUDY CO
- [2] EXPERIMENTAL STUDY OF SMALL WORLD PROBLEM[J]. SOCIOMETRY, 1969, 32 (04): : 425 - 443TRAVERS, JMILGRAM, S
It's time to scale the science in the social sciences
被引：10
作者：
Raghavan, Prabhakar
[1
]
机构：
[1] Google Inc, 1600 Amphitheatre Pkwy, Mountain View, CA 94043 USA
来源：
BIG DATA & SOCIETY
|
2014年
/
1卷
/
01期
关键词：
Data analysis;
machine learning;
social sciences;
robust methodology;
computational aesthetics;
scalable science;
D O I：
10.1177/2053951714532240
中图分类号：
C [社会科学总论];
学科分类号：
03 ;
0303 ;
摘要：
The social sciences are at a remarkable confluence of events. Advances in computing have made it feasible to analyze data at the scale of the population of the world. How can we combine the depth of inquiry in the social sciences with the scale and robustness of statistics and computer science? Can we decompose complex questions in the social sciences into simpler, more robustly testable hypotheses? We discuss these questions and the role of machine learning in the social sciences.
引用
收藏
页数：4
相关论文