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As stated in the United Nations Global Assessment Report 2022 Concept Note, decision-makers everywhere need data and statistics that are accurate, timely, sufficiently disaggregated, relevant, accessible and easy to use. The purpose of this paper is to demonstrate scalable and replicable methods to advance and integrate the use of earth observation (EO), specifically ongoing efforts within the Group on Earth Observations (GEO) Work Programme and the Committee on Earth Observation Satellites (CEOS) Work Plan, to support risk-informed decision-making, based on documented national and subnational needs and requirements.

Promotion of open data sharing and geospatial technology solutions at national and subnational scales encourages the accelerated implementation of successful EO applications. These solutions may also be linked to specific Sendai Framework for Disaster Risk Reduction (DRR) 2015–2030 Global Targets that provide trusted answers to risk-oriented decision frameworks, as well as critical synergies between the Sendai Framework and the 2030 Agenda for Sustainable Development. This paper provides examples of these efforts in the form of platforms and knowledge hubs that leverage latest developments in analysis ready data and support evidence-based DRR measures.

The climate crisis is forcing countries to face unprecedented frequency and severity of disasters. At the same time, there are growing demands to respond to policy at the national and international level. EOs offer insights and intelligence for evidence-based policy development and decision-making to support key aspects of the Sendai Framework. The GEO DRR Working Group and CEOS Working Group Disasters are ideally placed to help national government agencies, particularly national Sendai focal points to learn more about EOs and understand their role in supporting DRR.

The unique perspective of EOs provide unrealized value to decision-makers addressing DRR. This paper highlights tangible methods and practices that leverage free and open source EO insights that can benefit all DRR practitioners.

This two-part paper is concerned with the creation of a generalised cybernetic agency-based ecosystem. The purpose of the first part is to explore the basis for the creation of an agentic ecology theory to provide a generalised multidisciplinary context-free manifold that can be applied to specific domains and contexts. As an element of this, it will explore the relationship between agency and its agents (at various foci) and the nature of agency ecologies and their evolution. It will also explore the relationship between viability and sustainability. In the second part of the paper, the purpose will be to formulate a general basis for agency ecology, followed by an agency model that recognises the analytical and decision-making attributes of the viability–sustainability relationship by centering on the modelling a socioeconomic ecosystem and a social disciplinary species model.

Agency theory will be used to model a generic agency ecology and its environment of subordinate elements – especially those subordinates that can be used as amenities to satisfy the needs to agency development. Part 1 of the paper will take a tour of concepts relevant to the representation of neo-ecosystem structures and their application. Part 2 will centre on delivering a schema capable of embracing agency neo-ecology from which applications may derive.

It is shown that agency theory as a modelling schema can be used as a methodology through which to provide diagnosis to examine the condition of, or for locating problems within, an agency in its ecosystem environment. This is illustrated within a socioeconomic context.

The paper is conceptual in nature, and there has been no intention to diagnose any substantive issues within the socioeconomic context.

A generalised agency ecology approach is proposed over this two-part paper that is novel through the use of third-order cybernetics.