Spotlight
The damage mining does inside the concession boundary is straightforward to measure: pit, tailings, access road. The damage outside the boundary has been harder to see. Migrant workers settle, infrastructure threads into the bush, supply chains for food and timber stretch across the surrounding landscape. Each effect is plausible, each is hard to quantify, and none of them appears in the environmental impact assessment that licenses the mine. For decades, this was a gap in the evidence.
A Nature paper co-authored by Victor Maus from the Institute for Ecological Economics at WU (Wirtschaftsuniversität Wien), in dual appointment with the International Institute for Applied Systems Analysis (IIASA) in Laxenburg, Lower Austria, closes it. Using continent-wide satellite data on mining activity and forest loss across sub-Saharan Africa, the study shows that mines trigger substantial deforestation well beyond their own boundaries. The biggest spillovers come from mines extracting cobalt and copper, the minerals at the centre of the global energy transition.
That is the awkward part. The same minerals that power renewable grids and electric vehicles are the ones forcing the largest indirect forest losses. As demand accelerates, the externality scales with it. Regulators have largely treated forest impacts as a function of the concession area itself. The paper provides a spatial evidence base for treating mining's downstream landscape effects as a quantifiable cost in their own right.
The work positions Vienna's environmental economics cluster, anchored at WU and IIASA, at the centre of a literature that climate, materials, and supply-chain policy now urgently need. The conversation about responsible mineral sourcing now has continent-scale numbers to argue from.
Radar Scans
WWTF Insight
Two papers in this fortnight's Crossref data come from the same WWTF call generation and converge on the same theme: cognition and ageing. Thomas Arnhold (LS22-008; led by Valeria Bordone, Universität Wien, with Daniela Weber, WU (Wirtschaftsuniversität Wien) and International Institute for Applied Systems Analysis (IIASA)) publishes in Work, Aging and Retirement on how employment status carries over into later-life cognitive functioning. Honja Hama (LS22-024; led by Janina Kehr, Universität Wien, with Igor Grabovac, Medizinische Universität Wien, and Lisa Lehner, Universität Wien) publishes in BMC Health Services Research on effective deprescribing strategies for inappropriate medication in elderly patients.
The pattern is convergent: both projects were funded in the 2022 Life Sciences call, both land in peer-reviewed venues this fortnight, and both target the same population from opposite ends. Boeck asks what working life does to cognitive ageing; Hama asks what to stop prescribing once cognition declines. A single funding call now visibly produces output across the full ageing arc, from labour-market exposure to clinical de-escalation.
Stray Signal
Kitten or Panda? An accuracy check on the cybersecurity bestiary
Cybersecurity researchers have a naming tradition that borders on the zoological. State-sponsored hacker groups arrive into the literature as Fancy Bear, Lazarus, Charming Kitten, Mustang Panda. The animal denotes the country of suspected origin; the adjective is for flavour. Aakanksha Saha and Martina Lindorfer at TU Wien decided to measure whether the behavioural fingerprints assigned to these groups in public threat intelligence are actually distinct, or whether several Kittens look suspiciously like several Pandas.
Their answer, presented at the ACM ASIA Conference on Computer and Communications Security (ACM ASIA CCS 2026), is more sobering than the names suggest. A field that has spent a decade producing confident attributions rarely audits its own taxonomy. Saha and Lindorfer just did.
Endnote
Vienna-based researchers in this fortnight's papers also hold positions abroad. From Berkeley to Mount Sinai, Oxford to UBC, IIASA to Helmholtz. The output of one city, mapped across the global research graph.