For doctoral students the lectures are free of charge, but we
charge a small fee of DKK 3000 (approximately EUR 400) covering
direct costs such as administration, lunches, coffee/tea, book, and
a dinner the first evening.
Based on active participation and individual
presentations the last day.
Evalueringsform:
Hjælpemidler:
Bedømmelsesform:
Anbefalede forudsætninger:
Deltagerbegrænsning:
Minimum 5 Maksimum: 15
Overordnede kursusmål:
The aim of the course is to introduce students to the theoretical
foundation and methods of strategic foresight. The course is
targeting doctoral students within engineering and design who
intent to apply elements of strategic foresight or prospective
analyses in their research.
The focus is set on strategic foresight within specific scientific
disciplines, technological domains and industrial sectors. Regional
foresight and wider national foresight exercises are not dealt with
specifically.
Læringsmål:
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
Identify and describe quantitative and qualitative methods of
strategic foresight and their foundation
Understand the societal context in which strategic foresight is
practised
Understand foresight’s role in public science, technology and
innovation policy
Understand foresight's role in firm’s technology strategy
and innovation management
Interpret and analyse the relation between context, conditions
and outcomes of foresight
Compare, select and apply concepts or methods of strategic
foresight, e.g. megatrend analyses, simple scenario processes, and
simple Delphi surveys
Identify challenges in relation to facilitating foresight
processes involving experts, trans-disciplinarity and domains of
conflicting interests
Assess and discuss the implementation of strategic foresight
results in engineering
Kursusindhold:
The course involves discussions of literature, drawing on
theoretical perspectives as well as practical and instrumental
approaches to strategic foresight. The course includes five days of
lectures mixed with plenary discussions, group work and individual
reflection. More specifically the course will cover the following
themes:
• Introduction to foresight and foresight methods.
• Introduction to core foresight concepts such as expectations,
visions, trends and megatrends.
• Foresight in science, technology and innovation policy and in
long term energy and environment planning.
• Foresight in firms in relation to technology strategy and
innovation management.
• Introduction to foresight methods such as: Scenarios, Visioning,
Backasting, Delphi, and Data Mining.
• Design of foresight exercises.
• Facilitating experts and trans-disciplinarity in foresight
exercises.
• Dialogue and conflicts in foresight.
• Publishing in the area of foresight.
Bemærkninger:
Prior to the course the participants will be asked to distribute a
short presentation of their PhD project reflecting the actual stage
of the project but with emphasis on the core object or problem
studied and the approach taken. The course concludes with
discussion of related objects and research questions relevant to
each participant’s own research and discussion of how to choose
relevant methodologies to cover the research questions.
Hence, the application (max 1 page) for acceptance on the course
shall include:
• Name and contact information
• Institutional affiliation
• Brief description of the PhD project: The project description
must include project title and description of the project’s subject
including theoretical-analytical approach, empirical focus and
which foresight elements might be included in the project.
• Rational for participation: Please explain, in 2-3 sentences why
you want to take this course and how you think your academic and
professional work will benefit.
