Introduction
On November 20th, 21st and 22nd 2023, 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 PhD students, other participants will not be excluded. However, their number will be restricted and will depend on the number of SIKS PhD students participating in the course.
“Research methods and methodology for IKS” is relevant to all SIKS PhD 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 PhD students to create good research design for their own research project. To this end, it provides interactive training in various elements of research design, such as the conceptual design and research planning. Moreover, 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)
Location
The course will take place at hotel Landgoed Huize Bergen in Vught, near Den Bosch.
Program
Monday 20 November
9.30 Doors open, coffee and tea
10.00-10.15 Opening
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 (Prof.dr.ir. Boudewijn van Dongen, TU/e)
Tuesday 21 November
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)
Wednesday 22 November
09.00-10.15 Example PhD research: Explainable AI (Dr. Meike Nauta, Datacation)
10.15-10.45 Break
10.45-12.00 Research methods in Multi Agent Systems (Prof. dr. Martijn Warnier, TUD)
12.00-13.00 Lunch
13.00-14.00 Data Science from a Design Research perspective (Dr. Faiza Bukhsh, UT)
14.00-14.15 Break
14.15-15.30 Research methods in Machine Learning (Prof.dr. Antal van den Bosch, UU)
15.30-16.15 Communicative Aspects of Research (Dr. Hans Weigand, TiU)
Registration
Registration is closed.
Information for non-SIKS PhD students
SIKS needs a confirmation from your supervisor/office that they agree with the arrangement and paying conditions.
