Rogue Scholar Posts

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Artificial IntelligenceArsenii AlenichevBasil StücheliDecolonizationFairpicture
Published in Reda Sadki
Author Reda Sadki

The arrival of artificial intelligence in the global development and non-profit sectors has sparked a period of intense ethical reflection around what some are calling ‘poverty porn 2.0’. The challenge is not merely technical but fundamental to non-profit mission.

Blogs
Published in CST Online
Author Ben Keightley

A police officer who has become unpopular in his home department is seconded to a small island which is a French Overseas Territory.  He arrives in a suit, which is incongruous to his surroundings and new colleagues, develops a relationship with his new partner, a Frenchwoman, which is by turns adversarial and potentially romantic.

Crystal_structure_miningInteresting Chemistry
Published in Henry Rzepa's Blog

In my story about one of the molecules of the year, cyclo[48]carbon, I noted that the DFT method used in the literature to model the C-C bond length alternation around the ring (OX B3LYP30) had been re-calibrated against a remeasured crystal structure of C18H18 or [18]-annulene (below) in order to reproduce the observed values for […]

LiLA.NDSBIBLIOTHEKSWELTSERVICESLizenz:CC-BY-4.0-INTLangzeitarchivierungGerman
Published in TIB-Blog

ein Beitrag von Dr. Karolin Bubke (Leitung der Universitätsbibliothek Vechta), Dr. Christina Draheim (Koordinatorin des Fachinformationsdienst Pharmazie), Carsten Elsner (Leiter des Referats Publikationsservices), Vinzenz Fiebach (Mitarbeiter im Fachinformationsdienst Pharmazie), Dr. Michael Kotzyba (Leiter des Referats Informationstechnologie), Dr. Samuel Mund (Data Steward an der Hochschulbibliothek der Hochschule für Musik, Theater und

SpatialLandscape-ecologySpatial-patternsSpatial-machine-learningMsca-pf
Published in Thinking in spatial patterns

Time flies, and I am now much closer to the end of the PRISM ( PReservation and RecognItion of Spatial patterns using Machine learning ) project than to its beginning. 1 . The project’s primary goal is to develop methods for validating and including spatial patterns in machine learning. In this blog post, I summarize the project’s progress from April 2025 to February 2026 and share related outputs and activities.