M B Hesjedal
Biographic Data
| ID | 51358 |
|---|---|
| NAME | M B Hesjedal |
| GIVEN NAMES | M B |
| FAMILY NAME | Hesjedal |
| SIGNATURE | HESJEDAL M B |
| AFFILIATIONS | Norwegian University of Science and Technology |
| ORCID | 0000-0003-0982-1262 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Relying on Relays: A Socio-technical Integration Model for Interdisciplinary Research
This article proposes a theoretical model for practices of integrating knowledge across disciplines. We characterise it by the sports metaphor of a relay, to highlight the directional interactions that occur in interdisciplinary work when it is organised as a series of exchanges of materials, data, calculations, and models. Drawing on existing research to outline its main features, we develop the model using interviews with and observations of sc…
Perspectives on prostate cancer screening with PSA – a focus group study with men in Norway aged 54–85 years
Prostate cancer is the second most commonly diagnosed cancer worldwide, leading the European Commission to suggest prostate cancer screening with prostate specific antigen (PSA) as part of their policy for more and better screening. Screening with PSA is, however, contested due to ambiguous evidence of whether benefits outweigh negative consequences. Treatment may cause incontinence and impotence, potentially threatening masculinity. Learning tha…
Men's sociotechnical imaginaries of artificial intelligence for prostate cancer diagnostics - A focus group study
Artificial intelligence (AI) is increasingly used for diagnostic purposes in cancer care. Prostate cancer is one of the most prevalent cancers affecting men worldwide, but current diagnostic approaches have limitations in terms of specificity and sensitivity. Using AI to interpret MR images in prostate cancer diagnostics shows promising results, but raises questions about implementation, user acceptance, trust, and doctor-patient communication. D…
Valuing good health care: How medical doctors, scientists and patients relate ethical challenges with artificial intelligence decision-making support tools in prostate cancer diagnostics to good healt…
Artificial intelligence (AI) is increasingly used in health care to improve diagnostics and treatment. Decision-making tools intended to help professionals in diagnostic processes are developed in a variety of medical fields. Despite the imagined benefits, AI in health care is contested. Scholars point to ethical and social issues related to the development, implementation, and use of AI in diagnostics. Here, we investigate how three relevant gro…
Socializing Scientists into Interdisciplinarity by Placemaking in a Multi-sited Research Center
The importance of physical place for interdisciplinary research collaborations is often taken for granted by scientists and policy makers. One result of this is a trend of funding interdisciplinary research centers where scientists are colocated in the same building. Previous research findings on the matter are, however, ambiguous and show that though geographical proximity clearly matters, proximity is insufficient to foster interdisciplinary co…
Transforming Scientists’ Understanding of Science–Society Relations. Stimulating Double-Loop Learning when Teaching RRI
The problem of developing research and innovation in accordance with society’s general needs and values has received increasing attention in research policy. In the last 7 years, the concept of “Responsible Research and Innovation” (RRI) has gained prominence in this regard, along with the resulting question of how best to integrate awareness about science–society relations into daily practices in research and higher education. In this context, p…
Men's sociotechnical imaginaries of artificial intelligence for prostate cancer diagnostics - A focus group study
Artificial intelligence (AI) is increasingly used for diagnostic purposes in cancer care. Prostate cancer is one of the most prevalent cancers affecting men worldwide, but current diagnostic approaches have limitations in terms of specificity and sensitivity. Using AI to interpret MR images in prostate cancer diagnostics shows promising results, but raises questions about implementation, user acceptance, trust, and doctor-patient communication. D…
Transforming Scientists’ Understanding of Science–Society Relations. Stimulating Double-Loop Learning when Teaching RRI
The problem of developing research and innovation in accordance with society’s general needs and values has received increasing attention in research policy. In the last 7 years, the concept of “Responsible Research and Innovation” (RRI) has gained prominence in this regard, along with the resulting question of how best to integrate awareness about science–society relations into daily practices in research and higher education. In this context, p…
Socializing Scientists into Interdisciplinarity by Placemaking in a Multi-sited Research Center
The importance of physical place for interdisciplinary research collaborations is often taken for granted by scientists and policy makers. One result of this is a trend of funding interdisciplinary research centers where scientists are colocated in the same building. Previous research findings on the matter are, however, ambiguous and show that though geographical proximity clearly matters, proximity is insufficient to foster interdisciplinary co…
Men's sociotechnical imaginaries of artificial intelligence for prostate cancer diagnostics - A focus group study
Artificial intelligence (AI) is increasingly used for diagnostic purposes in cancer care. Prostate cancer is one of the most prevalent cancers affecting men worldwide, but current diagnostic approaches have limitations in terms of specificity and sensitivity. Using AI to interpret MR images in prostate cancer diagnostics shows promising results, but raises questions about implementation, user acceptance, trust, and doctor-patient communication. D…
Valuing good health care: How medical doctors, scientists and patients relate ethical challenges with artificial intelligence decision-making support tools in prostate cancer diagnostics to good healt…
Artificial intelligence (AI) is increasingly used in health care to improve diagnostics and treatment. Decision-making tools intended to help professionals in diagnostic processes are developed in a variety of medical fields. Despite the imagined benefits, AI in health care is contested. Scholars point to ethical and social issues related to the development, implementation, and use of AI in diagnostics. Here, we investigate how three relevant gro…
Relying on Relays: A Socio-technical Integration Model for Interdisciplinary Research
This article proposes a theoretical model for practices of integrating knowledge across disciplines. We characterise it by the sports metaphor of a relay, to highlight the directional interactions that occur in interdisciplinary work when it is organised as a series of exchanges of materials, data, calculations, and models. Drawing on existing research to outline its main features, we develop the model using interviews with and observations of sc…
Perspectives on prostate cancer screening with PSA – a focus group study with men in Norway aged 54–85 years
Prostate cancer is the second most commonly diagnosed cancer worldwide, leading the European Commission to suggest prostate cancer screening with prostate specific antigen (PSA) as part of their policy for more and better screening. Screening with PSA is, however, contested due to ambiguous evidence of whether benefits outweigh negative consequences. Treatment may cause incontinence and impotence, potentially threatening masculinity. Learning tha…
Sociology (4 works) · Engineering (3 works) · Engineering ethics (3 works) · Interdisciplinary Research and Collaboration (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Computer Science (2 works) · Ethics and Social Impacts of AI (2 works) · Ethics in Clinical Research (2 works)