Towards integrated essential variables for sustainability

Lehmann, Anthony; Masó, Joan; Nativi, Stefano; Giuliani, Gaston

doi:10.1080/17538947.2019.1636490

Cited by 32 publications

(23 citation statements)

References 26 publications

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“…Other essential variables reflect environmental and ecological needs, as per extended self-identity. See Lehmann et al for a discussion of essential variables that relate to sustainability [161].…”

Section: Free Energy Principlementioning

confidence: 99%

Science-Driven Societal Transformation, Part I: Worldview

Boik

2020

Sustainability

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Humanity faces serious social and environmental problems, including climate change and biodiversity loss. Increasingly, scientists, global policy experts, and the general public conclude that incremental approaches to reduce risk are insufficient and transformative change is needed across all sectors of society. However, the meaning of transformation is still unsettled in the literature, as is the proper role of science in fostering it. This paper is the first in a three-part series that adds to the discussion by proposing a novel science-driven research-and-development program aimed at societal transformation. More than a proposal, it offers a perspective and conceptual framework from which societal transformation might be approached. As part of this, it advances a formal mechanics with which to model and understand self-organizing societies of individuals. While acknowledging the necessity of reform to existing societal systems (e.g., governance, economic, and financial systems), the focus of the series is on transformation understood as systems change or systems migration—the de novo development of and migration to new societal systems. The series provides definitions, aims, reasoning, worldview, and a theory of change, and discusses fitness metrics and design principles for new systems. This first paper proposes a worldview, built using ideas from evolutionary biology, complex systems science, cognitive sciences, and information theory, which is intended to serve as the foundation for the R&D program. Subsequent papers in the series build on the worldview to address fitness metrics, system design, and other topics.

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Section: Free Energy Principlementioning

confidence: 99%

Science-Driven Societal Transformation, Part I: Worldview

Boik

2020

Sustainability

View full text Add to dashboard Cite

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“…For example, repeatable physical processes are used in order to define the zero values and units of measure in the International System of Units (Bureau of Weights and Measures 2006). Recently, several Earth observation communities tried to introduce semantic reference systems by defining shared ontologies and essential variables (Lehmann et al 2019;Siricharoen and Pakdeetrakulwong 2014;Li, Song, and Tian 2019).…”

Section: Digital Earth and The Co-creation And Communication Approachmentioning

confidence: 99%

Big Earth Data science: an information framework for a sustainable planet

Guo

Nativi

Liang

et al. 2020

International Journal of Digital Earth

Self Cite

101

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The digital transformation of our society coupled with the increasing exploitation of natural resources makes sustainability challenges more complex and dynamic than ever before. These changes will unlikely stop or even decelerate in the near future. There is an urgent need for a new scientific approach and an advanced form of evidence-based decisionmaking towards the benefit of society, the economy, and the environment. To understand the impacts and interrelationships between humans as a society and natural Earth system processes, we propose a new engineering discipline, Big Earth Data science. This science is called to provide the methodologies and tools to generate knowledge from diverse, numerous, and complex data sources necessary to ensure a sustainable human society essential for the preservation of planet Earth. Big Earth Data science aims at utilizing data from Earth observation and social sensing and develop theories for understanding the mechanisms of how such a social-physical system operates and evolves. The manuscript introduces the universe of discourse characterizing this new science, its foundational paradigms and methodologies, and a possible technological framework to be implemented by applying an ecosystem approach. CASEarth and GEOSS are presented as examples of international implementation attempts. Conclusions discuss important challenges and collaboration opportunities. ARTICLE HISTORY

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Section: Free Energy Principlementioning

confidence: 99%

Science-Driven Societal Transformation, Part I: Worldview

Boik¹

2020

Preprint

View full text Add to dashboard Cite

Humanity faces serious social and environmental problems, including climate change and biodiversity loss. Risks are increasing and conditions deteriorating. Increasingly, scientists, global policy experts, and the general public conclude that incremental approaches are insufficient and transformative change is needed across all sectors of society. However, the meaning of transformation is still unsettled in the literature, as is the proper role of science in fostering it. This paper is the first in a three-part series that adds to the discussion by proposing a novel science-driven research-and-development program aimed at societal transformation. More than a proposal, it offers a perspective and conceptual framework from which societal transformation might be approached and understood. While acknowledging the necessity of reform to existing societal systems (e.g., governance, economic, and financial systems), the focus of the series is on transformation understood as systems change or systems migration—the de novo development of and migration to new societal systems. The series provides definitions, aims, reasoning, worldview, and a theory of change, and discusses fitness metrics and design principles for new systems. This first paper proposes a worldview built using ideas from evolutionary biology, complex systems science, cognitive sciences, and information theory that is intended to serve as the foundation for the R&amp;D program.

show abstract

Towards integrated essential variables for sustainability

Cited by 32 publications

References 26 publications

Science-Driven Societal Transformation, Part I: Worldview

Science-Driven Societal Transformation, Part I: Worldview

Big Earth Data science: an information framework for a sustainable planet

Science-Driven Societal Transformation, Part I: Worldview

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