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The EarthCube Technology and Architecture Committee working groups needed current information on the development of existing EarthCube-funded projects (e.g. building blocks, conceptual designs, and research coordination networks) to fulfill the goals of the working groups (e.g. gap analysis, use cases, standards bodies and testbed). The aims of this study include a compilation of planned outcomes, an assessment of current work and an investigation of interests in research collaboration among select EarthCube-funded projects.

Twenty-four principal investigators of 24 different EarthCube projects completed the Funded Projects Questionnaire composed of 35 questions in March and April 2015.

The survey response rate was 100 per cent and included a diversity of results ranging from planning stages to early development to final development. The funded projects in this study received awards in 2013 and 2014.

The results are EarthCube-specific and are not generalizable. Suggestions for future research include integration of crosscutting disciplines and perspectives, best practices, guidelines and standards for broader impact.

This study identified potential collaboration opportunities, use cases and gaps (e.g. unmet architectural, functional, operational, organizational and/or technical needs).

The impact on society include an improved understanding of the various EarthCube-funded projects and potential for collaboration within and across multiple disciplines.

This study contributed to the development of select outputs for EarthCube-funded projects’ presentations, Tech Hands Meeting, 2015 All Hands Meeting, select working groups’ outcomes and EarthCube Strategic Technology Plan and is of value to stakeholders, scientists and users.

In the era of industry 4.0, managing the design is a challenging mission. Within a dynamic environment, several disciplines have adopted the complex adaptive system (CAS) perspective. Therefore, this paper aims to explore how we may deepen our understanding of the design process as a CAS. In this respect, the key complexity drivers of the design process are discussed and an organizational decomposition for the simulation of the design process as CAS is conducted.

The proposed methodology comprises three steps. First, the complexity drivers of the design process are presented and are matched with those of CAS. Second, an analysis of over 111 selected papers is presented to choose the appropriate model for the design process from the CAS theory. Third, the paper provides methodological guidelines to develop an organizational decision support system that supports the complexity of the design process.

An analysis of the key drivers of design process complexity shows the need to adopt the CAS theory. In addition to that, a comparative analysis between all the organizational methodologies developed in the literature leads the authors to conclude that agent-oriented Software Process for engineering complex System is the appropriate methodology for simulating the design process. In this respect, a system requirements phase of the decision support system is conducted.

The originality of this paper lies in the fact of analysing the complexity of the design process as a CAS. In doing so, all the richness of the CAS theory can be used to meet the challenges of those already existing in the theory of the design.