Innovations in data collection

Learning goals are the following:

1. The student develops fundamental knowledge and understanding of innovations in data collection gained at guest seminars and through additional literature..
2. The student applies their knowledge in a multi-disciplinary context to contemporary problems.
3. The student applies their knowledge by determining the most effective research methods to address problems.
4. The student can form a judgement by advising researchers in the application of innovations in data collection. 
5. The student demonstrates communication skills by
   1. producing a publication up to the standards of international peer-reviewed books in the field of data collection.
   2. giving a presentation up to the standards of international scientific conferences in the field of data collection.
6. The student demonstrates learning skills by
   1. Being capable of autonomous scholarly self-development.
   2. Being a responsible and scholarly professional.

The  grading of this course consists of

1. Writing an essay on the innovations in data collection graded (100%)
   • Learning goals 1 – 4, 5a and 6 apply.
2. Give a presentation on the innovations in data collection (pass/fail)
   • Learning goals 1 – 4, 5b and 6 apply.
3. Contribution to discussions on innovations in data collection (pass/fail)
   • Learning goals 2-4 and 6 apply.

A sufficient grade is required for A, B and C to pass the course.

This course gives an overview of the state-of-the-art in data collection methods. Students will get to know the professional field of data collection and its innovations and challenges. This course brings together people working in science (university, scientific research institutes), government (e.g. national and local, Statistics Netherlands, Netherlands Institute for Social Research), and different (large and small) market research agencies. It consists of guest seminars by people working in science, governmental agencies and market research agencies, along with online materials (webinars, articles, blogposts). Every year, a different theme is chosen that links all seminars together. In the past, such a theme was for example, the impact of crises (war, pandemics) on data collection.

Combining these materials, the students get acquainted with different viewpoints on data collection, areas of innovation, and challenges that people face when working for these different types of institutes. Knowledge obtained from this course will help students face multidimensional problems during their professional career.

Students will work on an on the future of data collection. This will be graded

This course is part of the EMOS Core Module. There are also options to follow this separate course as a non-EMOS student (eg Elective student, PhD student etc).
Please contact the teacher about these options on time. You will need written approval from the teacher (an email is sufficient) in order to register for this course at the Faculty of Social Science Student Desk . Note that for external parties, costs for participation may be involved.