The Norwegian Association for Heredity Research and the Organized International Eugenics Movement. Expertise, authority, transnational networks and international organization in Norwegian genetics and eugenics (1919–1934)

The Norwegian Association for Heredity Research played a key role in the rise of genetics as a research field in Norway. The immediate background of its establishment in 1919 was the need for an organization that could clarify scientific issues regarding eugenics and coordinate Norwegian representation in the organized international eugenics movement. The Association never assumed this role. Instead, Norway was represented in the international eugenics movement by the so-called Norwegian Consultative Eugenics Commission, whose leader, Jon Alfred Mjøen, was dismissed as a pseudo-scientist by Norwegian geneticists. The paper explores the Association’s role in defining and delimiting scientific expert knowledge in the field of genetics and eugenics in Norway. It demonstrates how struggles about academic authority on the national arena were intertwined with struggles about representation and impact in the international eugenics movement and how transnational scientific networks where mobilized to legitimize and delegitimize notions about Nordic race supremacy, racial mixing and the politics of eugenic sterilizations.

Military AI Cooperation Toolbox: Modernizing Defense Science and Technology Partnerships for the Digital Age

The Department of Defense can already begin applying its existing international science and technology agreements, global scientific networks, and role in multilateral institutions to stimulate digital defense cooperation. This issue brief frames this collection of options as a military AI cooperation toolbox, finding that the available tools offer valuable pathways to align policies, advance research, development, and testing, and to connect personnel–albeit in more structured ways in the Euro-Atlantic than in the Indo-Pacific.

Prediction of new scientific collaborations through multiplex networks

The establishment of new collaborations among scientists fertilizes the scientific environment, fostering novel discoveries. Understanding the dynamics driving the development of scientific collaborations is thus crucial to characterize the structure and evolution of science. In this work, we leverage the information included in publication records and reconstruct a categorical multiplex networks to improve the prediction of new scientific collaborations. Specifically, we merge different bibliographic sources to quantify the prediction potential of scientific credit, represented by citations, and common interests, measured by the usage of common keywords. We compare several link prediction algorithms based on different dyadic and triadic interactions among scientists, including a recently proposed metric that fully exploits the multiplex representation of scientific networks. Our work paves the way for a deeper understanding of the dynamics driving scientific collaborations, and validates a new algorithm that can be readily applied to link prediction in systems represented as multiplex networks.

A systematic metadata harvesting workflow for analysing scientific networks

One of the disciplines behind the science of science is the study of scientific networks. This work focuses on scientific networks as a social network having different nodes and connections. Nodes can be represented by authors, articles or journals while connections by citation, co-citation or co-authorship. One of the challenges in creating scientific networks is the lack of publicly available comprehensive data set. It limits the variety of analyses on the same set of nodes of different scientific networks. To supplement such analyses we have worked on publicly available citation metadata from Crossref and OpenCitatons. Using this data a workflow is developed to create scientific networks. Analysis of these networks gives insights into academic research and scholarship. Different techniques of social network analysis have been applied in the literature to study these networks. It includes centrality analysis, community detection, and clustering coefficient. We have used metadata of Scientometrics journal, as a case study, to present our workflow. We did a sample run of the proposed workflow to identify prominent authors using centrality analysis. This work is not a bibliometric study of any field rather it presents replicable Python scripts to perform network analysis. With an increase in the popularity of open access and open metadata, we hypothesise that this workflow shall provide an avenue for understanding scientific scholarship in multiple dimensions.

Women made visible: a different perspective on the history of the Institute of Tropical Medicine in Portugal, 1943-1966

This work focuses on the scientific research conducted by women at Portugal’s Institute of Tropical Medicine between 1943 and 1966. The Institute’s scientific journal documents the participation of women in tropical medicine during this period. Their publications addressed a variety of subjects and resulted from research carried out in the metropolis as well as Portugal’s overseas colonies. Most of the articles written by these women were are co-authored by their male colleagues, reflecting the incorporation of female researchers into scientific networks already established by men. This work in progress provides a starting point to lend visibility to a group of scientific actors who are practically absent from the historiography of tropical medicine.

Practical Methodological Reform Needs Good Theory

In the face of unreplicable results, statistical anomalies, and outright fraud, introspection and changes in the psychological sciences have taken root. Vibrant reform and metascience movements have emerged. These are exciting developments and may point toward practical improvements in the future. Yet there is nothing so practical as good theory. This article outlines aspects of reform and metascience in psychology that are ripe for an injection of theory, including a lot of excellent and overlooked theoretical work from different disciplines. I review established frameworks that model the process of scientific discovery, the types of scientific networks that we ought to aspire to, and the processes by which problematic norms and institutions might evolve, focusing especially on modeling from the philosophy of science and cultural evolution. We have unwittingly evolved a toxic scientific ecosystem; existing interdisciplinary theory may help us intelligently design a better one.

SUSTAINABILITY AND THE CONCEPT OF SHARED VALUE AND THE 4TH INDUSTRIAL REVOLUTION: A BIBLIOMETRIC ANALYSIS OF TWO SCIENTIFIC NETWORKS

The role of the technologies, concepts, and philosophies associated with the Fourth Industrial Revolution (4IR) has been argued to hold significant value in the quest for sustainability. Furthermore, the concept of ‘shared value’ has been put forward as an approach that holds significant value when aiming to bring about socially just, economically fair, and environmentally friendly production and consumption practices. The importance of the link between the concept of shared value and 4IR is explored in this paper using bibliometric analysis, and we expose the different structures of these fields, including keywords, key authors, and the coherence of these two scientific networks in order to uncover areas of integration between them. The findings of this analysis indicate that a clear gap in integration exists; and the opportunity for research in this field could further contribute to the debate on using innovative, contemporary technologies — such as those associated with 4IR — to support approaches to ensure increasingly sustainable business practices, such as shared value.