Please wait for the process to complete.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (email@example.com) to determine if accessing this resource is possible.|
|Storage:||The size of this resource is 491.2 KB|
|Created:||Dec 15, 2022 at 9:31 a.m.|
|Last updated:|| Dec 15, 2022 at 9:41 a.m.
|Citation:||See how to cite this resource|
|+1 Votes:||Be the first one to this.|
|Comments:||No comments (yet)|
This dataset contains questionnaire responses sent to a random sample of persons that announced vacancies through the About Hydrology mailinglist between 2013 and 2020. To protect the privacy of the respondents, these data are not publicly shared.
Hydrological models play a key role in contemporary hydrological scientific research. For this study, 400+ scientific hydrological vacancies were analyzed, to evaluate whether the job description already prescribed which model must be used, and whether experience with a specific model was an asset. Of the analysed job positions, 76% involved at least some modelling. Of the PhD positions that involved any modelling, the model is already prescribed in the vacancy text in 17% of the cases, for postdoc positions this was 30%. A small questionnaire
revealed that also beyond the vacancies where the model is already prescribed, in many Early-Career Scientist (ECSs) projects the model to be used is pre-determined and, actually, also often used without further discussion. There are valid reasons to pre-determine the model in these projects, but at the same time, this can have long-term consequences for the ECS: experience with the model will influence the research identity the ECS is developing, and influence future opportunities of the ECS - it might be strategic to gain experience with popular, broadly used models, or to become part of an efficient modelling team. This serves an instrumental vision on modelling. Seeing models as hypotheses calls for a more critical evaluation. ECSs learn the current rules of the game, but should at the same time actively be stimulated to critically question these rules.
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
There are currently no comments