A data-driven approach to analyse the co-evolution of urban systems through a resilience lens: A Helsinki case study

Urban areas are dynamic systems, in which different infrastructural, social and economic subsystems continuously co-evolve. As such, disruptions in one system can propagate to another. However, open challenges remain in (i) assessing the long-term implications of change for resilience and (ii) understanding how resilience propagates...

Method in their madness: Explaining how designers think and act through the cognitive co-evolution model

Designers often face situations where the only way forward is through the exploration of possibilities. However, there is a critical disconnect between understanding of how designer's think and act in such situations. We address this disconnect by proposing and testing (via protocol analysis) the cognitive co-evolution model. Our model...

Developing Team Design Patterns for Hybrid Intelligence Systems

With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of...

Continuous Negotiation in Climate Adaptation: The Challenge of Co-Evolution for the Capability Approach to Justice

The capability approach is increasingly presented as a promising approach to address questions of justice in local climate adaptation. In an attempt to integrate environmental protections into the capability approach, Breena Holland developed the meta-capability Sustainable Ecological Capacity to establish substantive ecological limits. This...

A Co-evolutionary, Transdisciplinary Approach to Innovation in Complex Contexts: Improving University Well-Being, a Case Study

Complex societal challenges cannot be resolved with quick fixes, nor can they be successfully addressed from disciplinary or institutional silos. In this article we propose an innovative approach to tackling contemporary societal challenges based on complexity theory and transdisciplinarity. The lens of complexity reveals that such challenges...

Asking Effective Questions: Awareness of Bias in Designerly Thinking

The formulation of questions in processes of design is an activity affected by cognitive biases inherent to humans. Cognitive biases, developed through gaining experience, influence how decisions are made during problem solving. When an outcome is predictable, experience provides mental shortcuts or heuristics to enable the problem solver to act...

Markov-based solution for information diffusion on adaptive social networks

There is currently growing interest in modeling the information diffusion on social networks across multi-disciplines, including the prediction of the news popularity, the detection of the rumors and the influence of the epidemiological studies. Following the framework of the epidemic spreading, the information spreading models assume that...

Three philosophical perspectives on the relation between technology and society, and how they affect the current debate about artificial intelligence

Three philosophical perspectives on the relation between technology and society are distinguished and discussed: 1) technology as an autonomous force that determines society; 2) technology as a human construct that can be shaped by human values, and 3) a co-evolutionary perspective on technology and society where neither of them determines...

Reframing the Design Process: Integrating Goals, Methods and Manifestation into the Co-Evolution Model

In their early years of education, design students may experience difficulties in reframing design problems. Since reframing is linked to creativity, this may be problematic. While there are some models available to describe the reframing process, it is yet unclear how they are supporting design students. This study concerned the development and...

FEVER: An approach to analyze feature-oriented changes and artefact co-evolution in highly configurable systems

The evolution of highly configurable systems is known to be a challenging task. Thorough understanding of configuration options their relationships, and their implementation in various types of artefacts (variability model, mapping, and implementation) is required to avoid compilation errors, invalid products, or dead code. Recent studies...

Fever: Extracting feature-oriented changes from commits

The study of the evolution of highly configurable systems requires a thorough understanding of thee core ingredients of such systems: (1) the underlying variability model; (2) the assets that together implement the configurable features; and (3) the mapping from variable features to actual assets. Unfortunately, to date no systematic way to...

Studying the co-evolution of production and test code in open source and industrial developer test processes through repository mining

Many software production processes advocate rigorous development testing alongside functional code writing, which implies that both test code and production code should co-evolve. To gain insight in the nature of this co-evolution, this paper proposes three views (realized by a tool called TeMo) that combine information from a software project’s...

Institutional reform and technological practice: The case of electricity

This article proposes a framework for categorizing possible interrelations between technological and institutional change and applies this framework to the case of the restructuring of the electricity sector. It is argued that there is a need for coherence between institutions and technological practice, so as to safeguard the satisfactory...