Migration and Nationalism

‘We cannot separate immigration from nationalism. This book offers fresh insights into this understudied relationship. It helps us understand how populism, right-wing politics, and neoliberalism affect migration policies. To me it shows why the dream of free movement for all seems so distant today.’ – Harald Bauder, Toronto Metropolitan University, Canada

En minimalistisk webbserver som drivs av solenergi | Turist/Blog

Computational reproducibility of Jupyter notebooks from biomedical publications

Jupyter notebooks facilitate the bundling of executable code with its documentation and output in one interactive environment, and they represent a popular mechanism to document and share computational workflows. The reproducibility of computational aspects of research is a key component of scientific reproducibility but has not yet been assessed at scale for Jupyter notebooks associated with biomedical publications. We address computational reproducibility at two levels: First, using fully automated workflows, we analyzed the computational reproducibility of Jupyter notebooks related to publications indexed in PubMed Central. We identified such notebooks by mining the articles full text, locating them on GitHub and re-running them in an environment as close to the original as possible. We documented reproduction success and exceptions and explored relationships between notebook reproducibility and variables related to the notebooks or publications. Second, this study represents a reproducibility attempt in and of itself, using essentially the same methodology twice on PubMed Central over two years. Out of 27271 notebooks from 2660 GitHub repositories associated with 3467 articles, 22578 notebooks were written in Python, including 15817 that had their dependencies declared in standard requirement files and that we attempted to re-run automatically. For 10388 of these, all declared dependencies could be installed successfully, and we re-ran them to assess reproducibility. Of these, 1203 notebooks ran through without any errors, including 879 that produced results identical to those reported in the original notebook and 324 for which our results differed from the originally reported ones. Running the other notebooks resulted in exceptions. We zoom in on common problems, highlight trends and discuss potential improvements to Jupyter-related workflows associated with biomedical publications.

PhD position in Digital Sociology — DIGSUM

DIGSUM's Digital Sociology group is looking for a new PhD candidate. The position is fully funded and salaried for four years. The research will be in the area of public opinion dynamics, broadly defined. This includes the study of disinformation and misinformation, and also related phenomena such