Future-Oriented Methodologies

This course is a broad introduction to some of the issues connected to FOMs, and of research fields where future-oriented tools and approaches have been developed; heuristic and exploratory approaches to issues with incompletely mapped causal mechanisms; simulation and forecasting; machine learning; scenarios, backcasting and vision work; blind spots and systematic bias; extreme values; systemic design; integration of expert knowledge and participatory methodologies in FOMs.

Course syllabus

5 credits

You are expected to be present at all four meetings, to take an active part in literature seminars and make an oral and written presentation on a topic in the course.

You can register your interest to take the course here (link to google forms) and we will find a time to give the course.

We will have 4 physical meetings in Lund in fall 2022 at the earliest.

I. Introduction to future-oriented research

Introduction to FOMs (Lecture Helen Avery)

Introduction to the student assignments (Ullrika Sahlin)

Literature seminar (Ullrika Sahlin)

II. Methodologies for future-oriented research

Lectures on predictive inference, extreme value theory, causal modelling, uncertainty analysis (TBC)

Presentations by students/Literature seminar (Ullrika Sahlin)

III. Managing biases and values in future-oriented research

Lectures on expert judgements, values in science, scenario analysis (TBC)

Presentations by students/Literature seminar (Ullrika Sahlin)

IV. Framing questions for future-oriented research

Lectures on research design, scientific questions in future-oriented research, participatory processes (TBC)

Presentations by students/Literature seminar (Ullrika Sahlin)

Welcome to apply!

Ullrika Sahlin (course director)

Future-Oriented Methodologies NMV006