Kasper Lange
Amsterdam University of Applied Sciences
Amsterdam, Netherlands
Member ID 3739
Member since Apr 19, 2023
Status Active


Dr Kasper Lange is a senior lecturer and researcher for the Circular Design and Business research group within the Faculty of Engineering of the Amsterdam University of Applied Sciences (AUAS). With grants from AUAS and the Netherlands Scientific Research Organization (NWO), he completed his PhD at TU Delft. The dissertation shows how companies and students can learn from games and simulations while developing robust circular business models.
Kasper currently furthers his research on how combinations of technologies, behaviour, business models and policy interventions can ensure the reuse of urban materials and products. He focuses mainly on developing digital simulation models and serious games that help stakeholders (companies, citizens and governments) develop circular solutions. He considers actor behaviour, social structures and policy frameworks in doing so.
Kasper is also a senior lecturer at the MSc Urban Technology, where he teaches Design Science Methodologies and Systems Engineering for the Circular Economy transition.


PhD Thesis:
Lange, K. P. H. (2022). Simulating industrial symbiosis: Understanding and shaping circular business
models for viable and robust industrial symbiosis networks through collaborative modelling and simulation. Delft University of Technology. https://doi.org/10.4233/uuid:9f4f569c-1dd5-4ef1-9e5e-85fb479f069d

Lange, K. P. H., Korevaar, G., Oskam, I. F., & Herder, P. M. (2017). Developing and
understanding design interventions in relation to industrial symbiosis dynamics.
Sustainability (Switzerland), 9(5). https://doi.org/10.3390/su9050826

Lange, K. P. H., Korevaar, G., Nikolic, I., & Herder, P. M. (2021). Actor Behaviour and
Robustness of Industrial Symbiosis Networks: An Agent-Based Modelling Approach. Journal
of Artificial Societies and Social Simulation, 24(3). https://doi.org/10.18564/jasss.4635

Lange, K. P. H., Korevaar, G., Oskam, I. F., Nikolic, I., & Herder, P. M. (2021). Agent-based
modelling and simulation for circular business model experimentation. Resources,
Conservation & Recycling Advances, 12, 200055.

Lange, K.P.H., Korevaar, G., Oskam, I.F., Herder, P.M. (2022). Re-Organise: Game-Based
Learning of Circular Business Model Innovation. Front. Sustain.

Peer-reviewed simulations and datasets:
Lange, K. P. H., Korevaar, G., Nikolic, I., & Herder, P. M. (2021a). Industrial Symbiosis Network
implementation ABM v1.1.0. In CoMSES Computational Model Library. CoMSES.Net.

Lange, K. P. H., Korevaar, G., Nikolic, I., & Herder, P. M. (2021b). Circular Business Model
experimentation: local biodigestion network v1.1.0. CoMSES Computational Model Library.

Lange, K. P. H. (2019a). Dataset gameplay Re-Organise Game — HvA Research Database.

Lange, K. P. H. (2019b). Re-Organise - The Game: English - V2.1 — HvA Research Database.

Practice-oriented publications
Mulder, M., Akker, J. van den, Lange, K. P. H., Hees, M. van, Verloop, J. W., Schrik, Y., & Oskam,
I. F. (2018). Re-organise - Sluiten van stedelijke kringlopen door decentrale verwerking van
organisch bedrijfsafval. http://www.hva.nl/kc-techniek/gedeeldecontent/

Mulder, M., Lange, K. P. H., Schrik, Y., Faddegon, K., Rijke, S. J. de, & Oskam, I. F. (2020). Re-
Store: Duurzaamheidsimpact bepalen en vergroten voor stedelijke initiatieven die
voedselresten verwerken. https://www.hva.nl/kc-techniek/gedeeldecontent/

Research Interests

Circular Economy, Business Model Experimentation, Collaborative Modelling and Simulation, Complex Adaptive Systems, Serious Games, and Industrial Symbiosis.
Download CV View CV