Normally when you hunt for information that you can't absolutely find an already-made API of you scrape the web and deal with regular expressions but this is definitely the easier option, using SPARQL. I can see a lot of potential information harvesting use cases for it.
One outlier mentioned here is Italy which has a high rate of youth unemployment/underemployment and huge brain drain flows to Northern EU so it makes sense that they are in a freefall but for others mentioned in the article like the UK I don't think it is a fair comparison as USA has a significant demographic advantage and a huge integrated market making it easy to scale for companies which in the EU only Germany has a comparable status not the UK or France.
Indeed, during my undergrad I have seen the exact same behaviour with the Electrical Engineering faculty(at one of the most prestigious in the EMEA region). Most of the so called academical output from my department was hidden source code simulink visual spaghettis closed for scrutiny. It seemed to me as the profs spun out a web of lies out of EE jargon plus matlab blackboxes.
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I am a Data Engineer experienced in the Adtech domain. Developed highly performant Bidding Algorithms, ETL pipelines for extracting real time logs, Experienced in GCP & AWS cloud data storage, collection, analysis services. Knowledge of terraform & k8s. Python and Java are my main languages(open to working with Scala as well). Hadoop ecosystem proficiency, Kafka, Airflow, Spark knowledge.
