Notes
Notes
The course consists of 2 hours of classes (lectures) every week and 2x2 hours every second week for 14 weeks.
- Monday: programming
- Thursday (odd weeks): lecture
Typeforms
http://www.typeform.com/
Programming
- 14 weeks
Topics:
- Introduction to programming
- Introduction to R
- Reproducible research
- Data gathering
- Data manipulation
- Statistical learning / visualizations
Links:
http://lincolnmullen.com/courses/clio3.2014/
Programming sucks! http://www.stilldrinking.org/programming-sucks
Social Media Analysis and Computational Social Science http://people.cs.umass.edu/~brenocon/smacss2015/
stuff
How big data can spot unemployment before the government can
- http://arstechnica.co.uk/science/2015/06/how-big-data-can-spot-unemployment-before-the-government-can/
Surveys challenges
- https://yougov.co.uk/news/2015/06/03/remembering-iraq/
Substantial differences in public opinion when people are surveyed by phone versus online.
- http://www.pewresearch.org/2015/05/13/from-telephone-to-the-web-the-challenge-of-mode-of-interview-effects-in-public-opinion-polls/
Brad DeLong thinks much of what economists now do will be superseded by data scientists and historians:
- http://equitablegrowth.org/2015/06/01/brief-thoughts-barry-eichengreen-new-economic-thinking/
Google Data (Varian)
- http://people.ischool.berkeley.edu/~hal/Papers/2015/primer.pdf
Toward Computational Social Science: Big Data in Digital Environments
- http://ann.sagepub.com/content/659/1.toc
Trey Causey Software Skills
- http://treycausey.com/software_dev_skills.html
Coder in Chief
http://www.theverge.com/2014/12/9/7358111/barack-obama-coding
Data Science through the lens of Social Science
http://videolectures.net/kdd2014_conway_social_science/
Scraped Data and Sticky Prices
http://www.nber.org/papers/w21490?utm_campaign=ntw&utm_medium=email&utm_source=ntw
Benoit: Big Data
https://www.youtube.com/watch?v=0Lpw1Kim3y8&spfreload=10
- distinguish between big social data and big data about the physical world
Super Returns to Super Bowl Ads?
http://people.ischool.berkeley.edu/~hal/Papers/2015/super.pdf