Core academic values
I will make a strong defense of the core academic values: academic freedom, rational and critical thinking that are nowadays continuously challenged by multiple interests.
Modernization of the Faculty
From teaching to research, from computational, experimental and clinical resources and facilities to administrative tasks, we should be able to remove barriers that make changes difficult. I will endeavor solutions that allow fast reorganization of existing structures and methodologies so that we can all better adapt to future challenges.
More cooperation and less competition
Competition is a waste of resources; it is tough and very often demotivating. I will promote more collaboration and less competition among the members of the Faculty. I will also encourage more multidisciplinary collaboration and discuss ways for integrating researcher with interdisciplinary career paths within the Faculty.
More funding for researchers
A part of the allocated and obtained funding does not reach individual researchers, such as for instance the often large overheads deducted from scientific projects. I propose to revise the budget paradigm so that more funding can be used for research, and research-based teaching, while assuring efficient shared services.
Open science
I will advocate for open science, including open resources, research transparency and reproducibility. I will encourage our Faculty to support preprint publication and the multiple benefits of publishing in preprints servers such as BioRxiv, MedRxiv, arXiv, etc.
Gender balance and diversity
Gender equality and diversity are fundamental human rights, but also permit quality results in all activities at the Faculty of Medicine. I will make a strong defense of the UiO’s gender equality and discrimination policies.
Programing and digitalization
In 2020, computer-programing languages and advance digital solutions are fundamental for students, researchers and administrative personal. This will be even more true in the future with a society divided between the ones that know understand algorithms and those that don’t. Therefore, I propose computer-programming courses at all levels for staff and students, including introductory courses for first year medical students.