SIKS Course: “Research methods and methodology for IKS” 2022


On November 16,17 and 18 2022, the School for Information and Knowledge Systems (SIKS) is organising the annual three-day course “Research methods and methodology for IKS”. Although the course is primarily intended for SIKS Ph.D. students, other participants will not be excluded. However, their number of passes will be restricted and will depend on the number of SIKS Ph.D. students participating in the course.

“Research methods and methodology for IKS” is relevant for all SIKS Ph.D. students (whether working in Computer Science, Artificial Intelligence, Data Science or in Information Science). The primary goal of this hands-on course is to enable these Ph.D. students to make a good research design for their own research project. To this end, it provides an interactive training in various elements of research design, such as the conceptual design and the research planning. But the course also contains a general introduction to the philosophy of science (and particularly to the philosophy of mathematics, computer science and AI).

In addition, the course addresses such divergent topics as “Research methods for Multi-Agent Systems”, “Research methods for Machine Learning” and “Research methods for Information Retrieval”. More recent topics are “Research Methods for Process Mining” and “Philosophy of Data Science”.

“Research methods and methodology for IKS” is an intense and interactive course.
First, all students enrolling for this course are asked to read some pre-course reading material, comprising of some papers that address key problems in IKS methodology. These papers will be sent to the participants after registration. Secondly, all participants are expected to give a brief characterisation of their own research project/proposal, by answering a set of questions, formulated by the course directors, and based on the aforementioned literature. We believe that this approach will result in a more efficient and effective course; it will help you to prepare yourself for the course and this will increase the value that you will get from it.

Course coordinators

Hans Weigand (TiU), Roel Wieringa (UT) and Richard Starmans (UU/TiU)


The course will take place at hotel Landgoed Huize Bergen in Vught, near Den Bosch.



9.30 Doors open, coffee and tea

10.00-10.15 Opening (Dr. Richard Starmans, UU/TiU)

10.15-11.15 Introduction Design Science Research (Dr. Hans Weigand,TiU)

11.15-12.00 Conceptual design I (Dr. Hans Weigand, TiU) (including assignment)

12.00-13.15 Lunch

13.15-15.00 Conceptual design II (Dr. Hans Weigand, TiU) (including assignment)

15.00-15.30 Break

15.30-16.00 Artefact ontology for DSR (Dr. Hans Weigand, TiU)

16.00-17.30 Research methods in Process Mining ( Boudewijn van Dongen, TUE)



09.00-12.00 Research Design I (Prof.dr. Roel Wieringa, UT)

12.00-13.15 Lunch

13.15-14.30 Research Design II (Prof.dr. Roel Wieringa, UT)

14.30-15.00 Break

15.00-15.45 Poster session

15.45-17.15 Research methods in Information Retrieval (Dr. Jaap Kamps, UVA)



09.15-10.30 Research methods in Multi Agent Systems (Prof. dr. Martijn Warnier, TUD)

10.30-10.45 Break

10.45-12.00 Research methods in Machine Learning (Prof.dr. Antal van den Bosch, UU)

12.00-13.00 Lunch

13.00-14.00 Data Science from a Design Research perspective (Dr. Faiza Buksh, UT)

14.00-14.15 Break

14.15-15.15 Philosophy and Foundations of Data Science (Dr. Richard Starmans, UU/TiU)

15.15-16.00 Communicative Aspects of Research (Dr. Hans Weigand, TiU)


Participation is free. For registration you are kindly requested to fill in the registration form

Please note: all available hotel rooms have now been booked. Only type 2 registrations (no overnight stay) can still be accepted.
New registrations for this course are still welcomed, however overnight accommodation can no longer be offered.

Deadline for registration: 11 November 2022

After that date, applications to participate will be honoured on a first-come first-served basis. Of course, applications to participate from other interested groups are welcome. They will receive a notification whether they can participate as soon as possible.

Information for non-SIKS Ph.D.- students
SIKS needs a confirmation from your supervisor/office that they agree with the arrangement and paying conditions.