Quantitative Innovation Analytics

Course goals

• Write a research proposal for a quantitative study
• Assess a research proposal for a quantitative study
• Characterize innovation as an output measure
• Characterize networks as an input measure
• Explain and apply several analysis techniques, e.g.:
  •  
  • Social network analysis
  • General linear models
  • Logistic and ordinal models
  • Poisson and negative binomial models
  • Hierarchical models
• Interpret and evaluate findings of different analyses
• Write a full report and a summary web report based on the findings of research by a group of students.

Content

In this course we make use of lectures and practicals. In the lectures the subject(s) for that specific week is/are explained. In the practicals  you will mainly apply the knowledge and practice in R by means of assignments. 
One of the aims is to learn how to write a research proposal for a quantitative study. You will first practice this and then you will write a research proposal that will be graded.
Bi-weekly students hand in an assignment. 
At the end you need to hand in a final assignment.