December 2015 – Integration and Implementation Insights

Reinventing science? From open source to open science

June 25, 2025December 16, 2015

By Alexey Voinov

Science is getting increasingly bureaucratized, more and more driven by metrics and indices, which have very little to do with the actual scientific content and recognition among peers. This is actively supported by the still dominant for-profit publication mechanism, which harvests products of scientific research for free, processes, reviews and edits them using voluntary work of scientists themselves and then sells the resulting papers back to the scientific community at obscene costs. The original ideals of scientific pursuit of truth for the sake of the betterment of humanity are diluted and forfeited in the exhausting race for grants, tenure, patents, citations and nominations. Something has to change, especially in the era of post-normal science when so much is at stake, and so little is actually done to address the mounting problems of the environment and society.

In computer programming open source emerged in the 1980s largely in opposition to attempts at licensing code and the growing dominance of Windows with the annoyingly secretive policies of Microsoft. It came as the idealistic philosophy of software development that stems from the so-called “gift culture” and “gift economy” based on this culture.

Co-creation, co-design, co-production, co-construction: Same or different?

June 25, 2025December 10, 2015

By Allison Metz

A key topic across disciplines is the authentic engagement and participation of key stakeholders in developing and guiding innovations to solve problems. Complex systems consist of dense webs of relationships where individual stakeholders self-organize through interactions. Research demonstrates that successful uptake of innovations requires genuine and meaningful interaction among researchers, service providers, policy makers, consumers, and other key stakeholders. Implementation efforts must address the various needs of these stakeholders. However, these efforts are described differently across disciplines and contexts – co-design, co-production, co-creation, and co-construction.

Developing consensus on terminology and meanings will facilitate future research and application of “co” concepts. For example, co-design is often used in health to describe processes that put users and communities at the heart of service design. Co-production is often discussed in socio-environmental science to allow users to participate in administration and delivery. Co-creation is often used in business to describe the involvement of customers in developing products and processes.

Modelling is the language of scientific discovery

June 25, 2025December 2, 2015

By Steven Gray

Modeling is the language of scientific discovery and has significant implications for how scientists communicate within and across disciplines. Whether modeling the social interactions of individuals within a community in anthropology, the trade-offs of foraging behaviors in ecology, or the influence of warming ocean temperatures on circulation patterns in oceanography, the ability to represent empirical or theoretical understanding through modeling provides scientists with a semi-standardized language to explain how we think the world works. In fact, modeling is such a basic part of human reasoning and communication that the formal practice of scientific modeling has been recently extended to include non-scientists, especially as a way to understand complex and poorly understood socio-environmental dynamics and to improve collaborative research. Although the field of participatory modeling has grown in recent years, there are still considerable questions about how different software tools common to participatory modeling can be used to facilitate communication and learning among diverse groups, which approaches are more or less suitable (given the nature of a community or environmental issue), and whether these approaches effectively lead to action-oriented outcomes.