The DIMA Network (Developing Innovative Multi-proxy Analyses – in Siberia and the Russian Far East (SRFE)) started from a small nucleus of palaeoenvironmental researchers in the UK and SRFE at a workshop in 2008 and currently includes researchers from over 25 institutions. The mutual interest in creating long-term records of environmental change was rekindled during workshops in Magadan (2018), Tomsk (2018) and Southampton (2019). These events were organised to connect researchers from the UK and SRFE with these aims: (1) provide training in new techniques and methods, (2) facilitate knowledge transfer about local sites and conditions, (3) stimulate large-scale collaborative projects across SRFE and (4) inspire a new generation of palaeoenvironmental researchers.

This paper introduces a framework for understanding complex temporal interaction patterns in large-scale scientific collaboration networks. In particular, we investigate how two key concepts in science studies, scientific collaboration and scientific mobility, are related and possibly differ between fields. We do so by analyzing multilayer temporal motifs: small recurring configurations of nodes and edges.

Driven by the problem that many papers share the same publication year, we first provide a methodological contribution: an efficient counting algorithm for multilayer temporal motifs with concurrent edges. Next, we introduce a systematic categorization of the multilayer temporal motifs, such that each category reflects a pattern of behavior relevant to scientific collaboration and mobility. Here, a key question concerns the causal direction: does mobility lead to collaboration or vice versa? Applying this framework to scientific collaboration networks extracted from Web of Science (WoS) consisting of up to 7.7 million nodes (authors) and 94 million edges (collaborations), we find that international collaboration and international mobility reciprocally influence one another. Additionally, we find that Social sciences & Humanities (SSH) scholars co-author to a greater extent with authors at a distance, while Mathematics & Computer science (M&C) scholars tend to continue to collaborate within the established knowledge network and organization.

In the aftermath of World War II, a new international infrastructure based on United Nations agencies took charge of coordinating global biomedical research. Through this infrastructure, European and American geneticists hoped to collect and test blood samples from human populations across the world to understand processes of human heredity and evolution and trace the historical migrations of different groups. They relied heavily on local scientific workers to help them identify and access populations of interest, although they did not always acknowledge the critical role non-Western collaborators played in their studies. Using scientific publications, personal correspondence, and oral histories, I investigate the collaborative relationships between Western scientists, their counterparts in the Middle East, and the human subjects of genetic research. I comparatively examine the experiences of Israeli and Iranian scientists and physicians engaged in genetic anthropology and medical genetics between the mid-1950s and the late 1970s, noting how they both applied nationalist historical narratives to their genetic data and struggled to establish the value of their local knowledge and scientific labor. I argue that the Israeli and Iranian experience of transnational scientific collaboration is representative of how Western scientists relegated their collaborators from “developing” regions to a subordinate positionality as collection agents or native informants. Meanwhile, within their own countries, the elite professional identity of Israeli and Iranian scientists granted them the authority to manipulate their research subjects, who often belonged to marginalized minority communities, and to interpret their biology and history within contexts of Jewish and Persian nationalism.