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Merge branch 'main' into add-submodule-bib
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jngrad committed Jun 24, 2024
2 parents 50cca7b + 8e9708e commit 1291896
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3 changes: 3 additions & 0 deletions .github/spellignore.txt
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Expand Up @@ -56,6 +56,7 @@ EMBL-EBI
eng
ENCCS
EOR
epistemically
Erlangen-Nürnberg
ERuDIte
EuroCC
Expand All @@ -65,6 +66,7 @@ exascale
ExCALIBUR
EXCELERATE
executables
explainability
FAIRness
FAU
findability
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IDEs
IEA
Ing
interpretability
ISCB
iteratively
Jena
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2 changes: 1 addition & 1 deletion bibliography
Submodule bibliography updated 2 files
+14 −2 README.md
+383 −18 bibliography.bib
26 changes: 26 additions & 0 deletions competencies.md
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Expand Up @@ -332,6 +332,32 @@ Further values loosely based on that code include the obligations
+ to treat colleagues and collaborators with respect and work towards a fair and inclusive environment, and
+ to promote these values whenever possible and make sure that they are passed on to new practitioners.

The deployment of computer-based modelling and simulation has dramatically changed the practice of science in a large number of fields.
It has enabled the hitherto impossible study of new classes of problems,
often replacing traditional experimentation and observation.
It can also serve to integrate a communal body of knowledge [@Parker2022].
Humphreys [@humphreys_extending_2004] regards this development as "more important than the invention of the calculus in the 1660s, an event that remained unparalleled for almost 300 years".
The epistemological status of computer modelling and simulation is still the subject of debate,
which ranges from the postulate of a new process of knowledge creation that has its own, unique, epistemology [@winsberg_sanctioning_1999]
to the perception that from a philosophy of science perspective, there is nothing really new [@frigg_philosophy_2009].
In any case it is clear, that the construction of a simulation-model,
including the selection of the salient characteristics of the system to be modelled,
the choice of the mathematical representation of the processes to be represented,
the choice of numerical methods and other algorithms
and even including the design of the user-interface
will have a decisive impact on the adequacy for purpose [@bokulich_data_2021] of the model.
The relationship between initial state, inputs and final state of a computer simulation is "epistemically opaque" [@humphreys_extending_2004],
in that not every step of the process is directly observable.
The current trend of an increasing application of computationally irreducible systems, such as those based on artificial neural networks,
further exacerbates this inherent limitation of explainability.
An RSE usually takes a pivotal role in assessing this adequacy for purpose of a model
as well as in characterising and communicating the domain of its legitimate application
and its limits of interpretability.
This role, together with the enormous reliance on modelling and simulation of scientific results
as well as real-world decision-making
places a larges responsibility on the RSE.
It is important that RSEs are aware of this responsibility and continuously improve their capabilities to live up to it.

RSEs often assume a multifaceted role at the junction of research, \ac{SE} and data management.
They work with a varying and diverse set of colleagues that might include other developers,
support unit staff and academics of different fields and all career stages.
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