First Call for Papers: 4th Workshop on Computational Linguistics for Political and Social Sciences  (CPSS 2024)

Co-located with KONVENS-2024 in Vienna, Austria.

Workshop description

Recent years have seen more and more applications of computational methods to the analysis of political texts. This has led to the emergence of different communities (one with a background in political / social science and the other in the areas of NLP/computer science) which struggle to get awareness of the relevant work taking place in the respective other community.

The main goal of this workshop is to bridge this gap and bring together researchers and ideas from the different communities, to foster collaboration and catalyze further interdisciplinary research efforts.

Important Dates

Workshop papers due

14.

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Quelle: https://dhd-blog.org/?p=20741

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At least a make shift solution: The “Julian calendar stabiliser”

My last blog post triggered a couple of responses on Twitter. It seems I touched a problem that will not be solved that easily.

Save a date as a Julian calendar date on your Wikibase (manually or, with the /J switch, in your QuickStatements mass input) and your Wikibase will be able to handle this date correctly in any mixed bag of Julian and Gregorian dates. It is nice that the Query Service is able to produce straight timelines out of any such mixed bag, but immensely problematic that you will be quite unable to get any of the Julian dates back in the nominal format in which you stated them on your Wikibase. Blazegraph, the tool that works behind the Query Service, does its job in a normalisation of dates, and this normalisation is, of course, done in the superior Gregorian calendar. Our Wikibase Query Services will hence produce loads of dates that will in their first wave just contradict the documentary evidence. We will then see successive deformations of these dates wherever someone fails to read them as, from here onwards, proper Gregorian. Most databases have a single calendar format: you simply enter all your dates as you read them in your documents or whatsoever source you are exploiting. Gregorianised dates should not enter any such database.

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Quelle: https://blog.factgrid.de/archives/3541

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NFDI4Memory: FAIR Data Fellowships (Ausschreibung 2024)

Oft entstehen im Rahmen eines Projekts in historisch arbeitenden Disziplinen Forschungsdaten, die für eine Nachnutzung und Publikation aufbereitet werden können. Unterstützung dabei bieten die FAIR Data Fellowships von NFDI4Memory. Sie eröffnen die Möglichkeit, Forschungsdaten aus abgeschlossenen oder kurz vor Abschluss stehenden Projekten zusammen mit Expert:innen des Deutschen Museums, des Herder-Instituts für historische Ostmitteleuropaforschung – Institut der Leibniz-Gemeinschaft, des Leibniz-Instituts für Europäische Geschichte und der Herzog August Bibliothek Wolfenbüttel für die Publikation aufzubereiten.

Weitere Informationen: https://4memory.de/4memory-fair-data-fellowships/

Quelle: https://digigw.hypotheses.org/5152

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