When: 12-16 of January 2026
Where: University of Lund, Sweden
Credits (ECTS): 7,5
Name of the course: Quantitative Methods for Innovation Research/Kvantitative metoder for innovasjonsforskning
Language of instruction: English
Apply before November 28th 2025: https://www.lyyti.fi/reg/NORSI_Course_Quantitative_Methods_for_Innovation_Research_7895
Prerequisites/Recommended Previous Knowledge:
The students must satisfy the admissions requirements of the PhD program.
Course content:
This course is part of the Norwegian Research School in Innovation (NORSI) and introduces students to the quantitative analysis part of the common course in research methods under the NORSI program. The course will exclusively be offered as a part of NORSI common courses. The course surveys the most used quantitative analysis techniques in innovation-related research. It features comprehensive teaching in data reduction techniques, cross-sectional and panel regression as well as social network analysis. In addition, the course offers an application-oriented introduction and training to the statistical software R.
Knowledge:
Students will have an overview of quantitative analysis techniques and their application in innovation research.
Students will be able to evaluate the use of methods and the main data sources relevant for innovation research.
Students will be able to develop new knowledge and new theories on innovation using quantitative methods.
Skills:
Students will be able to conduct innovation research at a basic level using quantitative methods, cross-sectional and panel regressions as well as social network analysis.
Students will be able to formulate new research questions and conduct novel research using quantitative methods.
Students will be able to handle the statistical software R.
General competence:
Students will be able to assess when and how to use quantitative research methods.
Students will be able to discuss academic analyses in the field at a basic level.
Students will be able to apply and conduct quantitative methods at a basic to intermediate level.
Method of work
The course will be delivered as a single-week intensive course at the Lund University, as part of the Norwegian Research School in Innovation. The course will include a mix of lectures and computer lab sessions.
Coursework requirements
Active classroom participation.
Exam: Term paper – appr. 5.000-6.000 words, which includes a solid empirical assessment of at least one hypothesis. The paper will be assessed as a pass/fail.
Literature list: The reading list will be announced before the start of the course.
Course assessment
To obtain 7.5 ECTS points requires active participation during the course as well as an accepted paper of 5.000-6.000 words demonstrating competence in using quantitative methods. The paper should be based on the topic of the PhD thesis and reflect the literature used in the course. It has to be centered around a self-selected/self-developed research hypothesis embedded into the contemporary literature, an adequate self-designed research strategy utilizing one or multiple methods taught in the course, and a fully-fledged discussion of the results.
Offered by: Lund University (CIRCLE) in collaboration with University of Stavanger (UIS) Business School.
Course Responsible & Faculty
The course is taught by: Professor Tom Brökel , University of Stavanger Business School and Torben Schubert, CIRCLE Lund University
Registration
Please sign up through our platform Lyyti:
https://www.lyyti.fi/reg/NORSI_Course_Quantitative_Methods_for_Innovation_Research_7895
Travel and accommodation
The PhD candidate must arrange and cover their own travel costs. For NORSI students, the hotel is already booked, and NORSI will cover the accommodation, lunches, and one dinner.