I am a Fellow of the Higher Education Academy, and I teach across digital management, economy, and data at both undergraduate and postgraduate level.
As a teacher, I aim to support my students in finding their voice and preparing them for life beyond university. I do this by introducing them to bodies of knowledge that we read, write about, and debate together. My hope is that supporting them to express themselves clearly changes who they are and who they want to become.
Below you can read more about the modules I teach and have taught in the past. I have also attached learning resources that are hopefully useful and give you a sense of what I am all about.
Modules
Department of Digital Humanities, King’s College London
Management for the Digital Domain I
Management for the Digital Domain II
Macro Perspectives and the Digital Economy
Digital Economy
AI & Society
Theorising Data
Digital Industries and Internet Culture
Digital Entrepreneurship
Writing Lab
Institute for Innovation and Public Purpose, UCL
New Economic Thinking and Public Value
Institute of Management Studies, Goldsmiths
Qualitative Research in Management Contexts
Faculty of Education, Cambridge University
Modernity, Globalisation and Education
Resources
I am collecting learning resources below. The first section contains resources I have developed, mostly in the form of student exercises. The second section consists of resources developed by other academics and practitioners.
Resources by me
Student exercise: The case of Medobot.
This exercise is a role-play debate set in 2030, in which students argue for and against the continuation of a fictional 100-year patent held by Microsoft for a generative AI health product. It is a way to enourage students to reflect on concepts such as competition, rent, innovation, and public value.
Student exercise: Perspectives on technology evolution.
This exercise uses a video of Steve Jobs’s 2007 iPhone launch as a way to get students to identify and reflect on four perspectives on technology evolution as presented by Grodal et al. (2023). Another useful background reading here is Geroski (2003).
Student exercise: The case of OpenAI.
This exercise uses OpenAI’s changing ownership structures as a springboard for students to reflect on the tensions and opportunities associated with using the private firm as a means of generating public value.
Resources by others
Writing resource: Fussy Professor Starbuck’s Cookbook.
This writing ‘cookbook’ was developed by William H. Starbuck. It is a useful starting point for undergraduate students trying to understand the mechanics of academic writing in the social sciences.
Neural network explainer: 3Blue1Brown
This video was developed by Grant Sanderson. It is a useful starting point for students who want to understand what a neural network is. Sanderson has made many good explainer videos on related subjects on his YouTube chanel 3BluelBrown.
Algorithm explainer: Algorithms
This documentary features Marcus du Sautoy. The full film is useful for understanding algorithms, but the section linked to here is a particularly good introduction for students encountering the concept for the first time.
Morten's POV 