Umeå University's logo

umu.sePublications
EnglishSvenskaNorsk
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Dealing with uncertainty in deep learning by data sourcing, data filtering,data swapping, and algorithmic templating: Evidence from data work creativity in pursuing ai opportunities
Umeå University, Faculty of Social Sciences, Department of Informatics. (SCDI AI Business Lab)ORCID iD: 0000-0001-5486-9017
Umeå University, Faculty of Social Sciences, Department of Informatics. (SCDI AI Business Lab)
2022 (English)Conference paper, Oral presentation only (Other academic)
Place, publisher, year, edition, pages
2022.
National Category
Peace and Conflict Studies Other Social Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:umu:diva-200762OAI: oai:DiVA.org:umu-200762DiVA, id: diva2:1708737
Conference
Reshaping Work 2022 Conference, Amsterdam, the Netherlands, October 13-14, 2022
Available from: 2022-11-05 Created: 2022-11-05 Last updated: 2025-02-20Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Kostis, AngelosHolmström, Jonny

Search in DiVA

By author/editor
Kostis, AngelosHolmström, Jonny
By organisation
Department of Informatics
Peace and Conflict StudiesOther Social Sciences not elsewhere specified

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 231 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.46.0
|
WCAG
|
Umeå University Library
|
Register in DiVA
|
Support
|
Search DiVA Portal