Learning and understandability

Jorn Bettin gave the following talk on the 16th of February 2018 at the Computing for SKA Colloquium (C4SKA) in Auckland. The colloquium brings together industry and academics working on the design of computer systems for the Square Kilometre Array (SKA) – the mega science project of the 21st century to build the world’s largest and most sensitive radio telescope.

Creating learning organisations and systems that are understandable


Transdisciplinary projects are shaped significantly by context, triggers, and rituals, and subconscious adherence to paradigms. To minimise the risks of collaboration failures it is important to avoid getting entrapped in a paradigm, and to understand how new paradigms or dogmas emerge. The learning capability of a project team is significantly shaped by the level of neurodiversity within the team and by the way in which diversity is accommodated in the collaboration practices of the team.

The MODA + MODE human lens and its invariant characteristics offer concrete guidance for designing visual domain specific languages (VDSLs) and for integrating VDSLs in a multi-agent and multi-perspective context. Formalising visual languages holds significant potential for accelerating learning and improving understanding in large distributed teams by improving communication and collaboration:

  1. between humans,
  2. between humans and software systems,
  3. and between software systems.

The techniques presented assist the design of human scale systems that take human cognitive limits into account.

Download the slides from Jorn's presentation (4 MB)