
Lightning talk at Open Science Retreat 2026 (https://events.digital-research.academy/event/111/ Systems thinking is an approach to understanding the non-linear relationships between multiple interacting components of "a thing". That thing can be a manufacturing system, an ecological system, or even something less tangible, such as the system being implemented to support the adoption of open science. By effectively mapping the system, we better understand how the different components and interconnections are supporting the goal, what blockers are not being well managed, and what leverage points can be targeted for optimisation. While many of us have an implicit understanding of the “adoption of open science” system, I believe that making this collective knowledge explicit will reduce the information asymmetries which weaken our collective efforts. Applying a formal system analysis to our work may, therefore, uncover new opportunities to coordinate and align our work, and expedite the success of this movement. Question 1: How well do we all understand the complete system which is working towards the goal of open science adoption? Question 2: How does a lack of complete understanding impact our efforts?
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
