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Christin Thea Wathne

Christin Thea Wathne

Kort om

Dr. Christin Thea Wathne forsker I og har en PhD i Kriminologi fra Universitetet i Oslo fra 2015.  Hun har arbeidet på Arbeidsforskningsinstituttet (AFI) siden 2001.

Fagområder: sosiologi, styring/ledelse Forskningsinteresser: politi, ledelse, management, styring, New Public Management, målstyring, arbeidsmiljø, arbeidsliv, mestring, Public Service Motivation, organisasjonslæring, kjønn, medbestemmelse, omstilling, aksjonsforskning

Fagområder

Vitenskapsdisipliner

Samfunnsvitenskap

Forskningsprosjekter

Avsluttede forskningsprosjekter

Vitenskapelige publikasjoner

Kuldova, Tereza Østbø ; Gundhus, Helene Oppen Ingebrigtsen; Wathne, Christin Thea (2024). Introduction to Volume I: Algorithmic Governance, Policing and Intelligence in the Global Big Data Era. Kuldova, Tereza Østbø; Gundhus, Helene Ingebrigtsen; Wathne, Christin Thea (Red.). Policing and Intelligence in the Global Big Data Era, Volume I: New Global Perspectives on Algorithmic Governance. s. 1-25. Palgrave Macmillan.
https://doi.org/10.1007/978-3-031-68326-8_1

Gundhus, Helene Ingebrigtsen; Wathne, Christin Thea ; Kuldova, Tereza Østbø (2024). Introduction to Volume II: Interrogating Cultures of Policing and Intelligence in the Big Data Era. Kuldova, Tereza Østbø; Gundhus, Helene Ingebrigtsen; Wathne, Christin Thea (Red.). Policing and Intelligence in the Global Big Data Era, Volume II: New Global Perspectives on the Politics and Ethics of Knowledge. s. 1-24. Palgrave Macmillan.
https://doi.org/10.1007/978-3-031-68298-8_1

Kuldova, Tereza Østbø ; Gundhus, Helene Ingebrigtsen; Wathne, Christin Thea (2024). Policing and Intelligence in the Global Big Data Era, Volume II: New Global Perspectives on the Politics and Ethics of Knowledge. ISBN: 978-3-031-68297-1. 211 s. Palgrave Macmillan.
https://link.springer.com/book/9783031682971

Kuldova, Tereza Østbø ; Gundhus, Helene Ingebrigtsen; Wathne, Christin Thea (2024). Policing and Intelligence in the Global Big Data Era, Volume I: New Global Perspectives on Algorithmic Governance. ISBN: 978-3-031-68325-1. 254 s. Palgrave Macmillan.
https://link.springer.com/book/9783031683251

Egbert, Simon; Galis, Vasilis; Gundhus, Helene Oppen Ingebrigtsen; Wathne, Christin Thea (2024). The Platformization of Policing: A Cross-National Analysis. Kuldova, Tereza Østbø; Gundhus, Helene Ingebrigtsen; Wathne, Christin Thea (Red.). Policing and Intelligence in the Global Big Data Era, Volume I: New Global Perspectives on Algorithmic Governance. s. 349-392. Palgrave Macmillan.
https://doi.org/10.1007/978-3-031-68326-8_11

Gundhus, Helene Oppen Ingebrigtsen; Wathne, Christin Thea (2024). Norwegian Police as a Learning Organization in the Age of Data-Driven Intelligence?. Kuldova, Tereza Østbø; Gundhus, Helene Ingebrigtsen; Wathne, Christin Thea (Red.). Policing and Intelligence in the Global Big Data Era, Volume II: New Global Perspectives on the Politics and Ethics of Knowledge. s. 129-158. Palgrave Macmillan.
https://doi.org/10.1007/978-3-031-68298-8_6

Gundhus, Helene Ingebrigtsen; Wathne, Christin Thea (2024). Diffusion and resistance to intelligence in the Norwegian Police. Rønn, Kira Vrist; Diderichsen, Adam; Hartmann, Mia Koss; Hartvigsen, Melanie (Red.). Intelligence practices in high-trust societies. Scandinavian exceptionalism? . s. 189-200. Routledge.
https://doi.org/10.4324/9781032616377-17

Gundhus, Helene Ingebrigtsen; Wathne, Christin Thea (2024). Resistance to platformization: Palantir in the Norwegian police. 19 s. Information, Communication & Society.
https://doi.org/10.1080/1369118X.2024.2325533

Drange, Ida ; Falkum, Eivind ; Wathne, Christin Thea (2023). Covid, work reorganisation and trust: the importance of employment relations. 18 s. Labour and Industry.
https://doi.org/10.1080/10301763.2023.2251220

Gundhus, Helene Ingebrigtsen; Skjevrak, Pernille ; Wathne, Christin (2023). We Will Always Be Better Than a Spreadsheet: Intelligence Logic and Crime Prevention in Practice. European Journal of Policing Studies.
https://doi.org/10.5553/EJPS/2034760X2022001009





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