Draft:Gigamapping
| Submission declined on 8 November 2023 by Theroadislong (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
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| Submission declined on 20 October 2023 by Theroadislong (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
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Comment: I honestly don't see how this could ever become an article it needs independent sources, at the moment it is just promoting Sevaldson's work. Theroadislong (talk) 18:34, 9 November 2023 (UTC)
- Comment: four sections totally unsourced? Theroadislong (talk) 19:29, 8 November 2023 (UTC)
 | A major contributor to this article appears to have a close connection with its subject. (November 2023) |
Gigamapping is a diagramming technique (not a theory) that is best suited to explore the complexity of systems or other areas of complexity management. Gigamapping can be useful to explore the richness and complexity of social systems, biological systems and mechanical systems. In gigamapping, the process is more important than the resulting gigamap. Further, gigamapping is an open process with no rules, syntax or certification programs. It does offer rules of thumb that practitioners share as guardrails for facilitators, designers and participants in gigamapping sessions or workshops.
The open format of gigamapping promotes inclusiveness by encouraging multiple stakeholders to participate in sensemaking activities. It advocates richness of expression by accommodating a variety of visual expressions and media types in the gigagmap and is flexible in its ability to capture different scales of complexity e.g., multilevel architectures, timescales for transition or levels of governance.
History[edit]
Gigamapping was developed by Birger Ragnvald Sevaldson who also developed Systems-oriented design (SOD) together with colleagues at the Oslo School of Architecture and Design (AHO).
The technique emerged from a master-degree studio course The Challenge of Complexity that was purely design-driven. It included the use of large hand-drawn maps as visual thinking tools and as a means to embrace high complexity by visualising systems. This was around 2008 and dubbed "Gigamaps" by Sevaldson. The first paper was presented at NORDES 2011.[1]. In 2012, Sevaldson organised a seminar called Relating Systems Thinking and Design (RSD)[2]. A group from the international design community was invited and presented at the seminar. Gigamapping has since evolved through its use and feedback from practitioners and students using gigamapping as part of the master-level and doctoral theses. The RSD series of symposia continues to be an annual event where gigamapping is discussed and evolved.
At the RSD10 Symposium (2021) in Delft (The Netherlands), there were 17 gigamap contributions from seven different institutes. These included maps from Carnegie Mellon University (USA), the National Institute of Design (India,) Istanbul Technical University (Turkey), Delft University of Technology (NL), OCAD University (Canada), Cardiff University (UK), and Savannah College of Art and Design (USA). At the sysmposium, Prof. Birger Sevaldson was interviewed on his reflections[3] on the practice of gigamapping and how it has evolved since its origination.
Core Concepts[edit]
Gigamapping is a key concept of Systems-oriented design and is described in more detail in the book Designing Complexity: The Methodology and Practice of Systems Oriented Design.[4] As a process, gigamapping is characterised by a high degree of messiness. This messiness is deliberate and may be considered an anti-pattern approach i.e. there is no prescribed method.
Richness of information and myriadic quality[edit]
Gigamapping is essential a designerly construction of a rich picture of a real-life situation in or across systems. It attracts and encourages a variety of information types e.g., images, graphics, text, and other media and the ability to mix different information sources.
Multi-level and multi-scalar[edit]
The capture of rich information is deliberate. It encourages multi-layering and multi-scalar descriptions of real-life situations; scales of structure (from the microscope of the cellular to the telescope of he planetary) or the levels of governance (from the indvidual and local to the regional and transnational) or even the timescales for transitioning (spanning budgetted and funded milestones to the envisoned and dreamed future stages).
Boundary critique[edit]
Gigamapping encourages relating categorically different entities that cover a wide range of fields and disciplines while also digging into details. This combination, interpolation and extrapolation provides an opportunity to critique models of systems while also allowing reimagining, adjusting and constructing new boundaries.
References[edit]
- ^ Sevaldson, Birger (31 March 2011). "Giga-Mapping: Visualisation for complexity and systems thinking in design". Nordes (4). Retrieved 20 October 2023.
- ^ "RSD Proceedings « Systemic Design". systemic-design.net. Archived from the original on 19 April 2018. Retrieved 18 April 2018.
- ^ Koning, Jotte de (10 October 2021). "The Gigamap Interview". Relating Systems Thinking and Design.
- ^ Sevaldson, Birger (2022). Designing Complexity: The Methodology and Practice of Systems Oriented Design. Champagne IL USA: Common Ground. ISBN 9780949313614.