Benedikt Seisl

Benedikt Seisl

@bseisl.bsky.social

PhD Candidate University of Vienna | Working on Climate Politics Somewhere Between Econ and PoliSci | Slight Chance of Mountain and Food Content

507 followers295 following11 posts

Officially finished my PhD and defended on Friday, May 22 🎉🎓 It’s been years of balancing teaching, research, work, and mental health – with plenty of challenges and growth along the way. This means a lot, and I still can’t believe that it’s done.

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Alle Demos nächste Woche: Wien: Mi, 27.05., 13 Uhr, Uni Wien Linz: Do, 28.05., 16 Uhr, Hauptplatz Graz: Do, 28.05., 14 Uhr, Wilhelm Fischer Allee Salzburg: Do, 28.05., 14 Uhr, Kapitelplatz Klagenfurt: Do, 28.05., 10 Uhr, Uni-Vorplatz www.oeh.ac.at/info/unisret... #UnisRetten @nuwiss.bsky.social

oeh.ac.atSparkurs stoppen - #UnisRetten! - Österreichische Hochschüler_innenschaft (ÖH)Milliardenkürzungen bei den Unis? Nicht mit uns! Gemeinsam mit den Universitäten gehen wir als Studierendenvertreter_innen auf die Straße.
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On a more personal note: Writing, presenting, revising & publishing this paper was a long learning process that shaped my computational, communication & research skills. Seeing my first single-authored paper appear just before submitting my dissertation feels especially meaningful. 7/8

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What this enables 🌍 • High granularity (4-digit ISCO / 6-digit SOC) • Cross-sectional comparisons across economies • Identification of worker-level mobility barriers/opportunities Adds a new analytical layer beyond sector-level transition studies. 5/8

Implications 📊 Practical: → assess reskilling needs & just-transition risks → target labour-market & training policy Theoretical: → connects green transition research with broader work on structural & technological labour-market transitions. 6/8

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Research gap🧩 We often discuss green transitions at the industry level. But mobility happens at the worker/skill level. 👉 What skills actually transfer from brown to green jobs? 👉 For which workers is transition more feasible? 👉 How does this relate to sectoral exposure to the green transition? 3/8

Core contribution 🔎 A flexible, reproducible measure of green skill transferability based on: • Sentence-BERT embeddings • automated text classification Captures similarity between occupational skill profiles → proxy for realistic mobility pathways. 4/8

tl:dr I develop a reliable, NLP-based indicator of green skill transferability to study workers’ chances of moving from “brown” to “green” jobs — enabling worker-level, cross-country analysis of mobility in the green transition. This is crucial to make the green transition also a just transition.2/8

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