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Other literature type . 2024
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Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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AI in Doctoral Education

Authors: Kismihók, Gábor;

AI in Doctoral Education

Abstract

This is a presentation given on the EuroScience Open Forum - ESOF 2024, in the session "Personal and systemic responsibility for developing resilience in research workplaces" on 12.06.2024. The session was about: "The scientific workplace is in crisis. Recent research has uncovered a troubling trend: early-career researchers are more prone to mental illness. Across Europe, many PhD programs see alarmingly low completion rates. However, the ReMO COST Action is making strides in addressing mental health issues in academia. By successfully advocating for the inclusion of mental health in the European Charter for Researchers, we can bring much-needed attention to this important issue." (From the official ESOF 2024 Programme): https://www.esof.eu/programme Important links from the presentation: eDoer platform: http://edoer.eu/ OSCAR Project: http://oscar-ai.eu/ 

The development of the technology mentioned in this presentation is supported by the following projects: OSCAR - Online, open learning recommendations and mentoring towards Sustainable research CAReers, European Commission - Erasmus Plus Programme, 2020-1-DE01-KA203-005713; DALIA - Knowledge Graph of the Data Literacy (Dalia) for FAIR data usage and provision, on the basis of Semantic Web technology BMBF - 16DWWQP07E Gábor Kismihók is the Chair of the ReMO COST Action on Researcher Mental Health (CA19117), supported by COST (European Cooperation in Science and Technology).

Keywords

Artificial intelligence, Doctoral education, eDoer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green