AI4SD Video: Reproducibility, Jupyter notebooks and associated research software engineering
AI4SD Video: Reproducibility, Jupyter notebooks and associated research software engineering
The talk will introduce the topic of reproducibility in science: what is reproducibility, why does it matter and why is to hard to achieve? It will discuss abstract requirements for reproducibility and try connect these to concrete measures we can take in day-to-day research to make our results more reproducible. The potential of Jupyter Notebooks and the Jupyter ecosystem is explored. This talk will be of interest to everyone who wants to ensure that the computational apsects of their research is reproducible and re-usable and to see how this can help meet the requirements of journals for manuscript submission and for UKRI Responsible Research and Innovation (RRI). Following good practice for reproducibility will also make research life easier, especially when writing up work.
reproducibility, Reproducible Research, Jupyter notebooks, Research
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
14 December 2022
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Fangohr, Hans
(2022)
AI4SD Video: Reproducibility, Jupyter notebooks and associated research software engineering.
Kanza, Samantha
(ed.)
(doi:10.5258/SOTON/AI3SD0269).
Record type:
Conference or Workshop Item
(Other)
Abstract
The talk will introduce the topic of reproducibility in science: what is reproducibility, why does it matter and why is to hard to achieve? It will discuss abstract requirements for reproducibility and try connect these to concrete measures we can take in day-to-day research to make our results more reproducible. The potential of Jupyter Notebooks and the Jupyter ecosystem is explored. This talk will be of interest to everyone who wants to ensure that the computational apsects of their research is reproducible and re-usable and to see how this can help meet the requirements of journals for manuscript submission and for UKRI Responsible Research and Innovation (RRI). Following good practice for reproducibility will also make research life easier, especially when writing up work.
Video
HandFangohr-ReproducibilitySeminar-141222
- Version of Record
More information
Published date: 14 December 2022
Additional Information:
Hans Fangohr is head of the scientific support unit Computational Science at the Max Planck Institute for Structure and Dynamics of Matter, and Professor of Computational Modelling at the University of Southampton. He received his undergraduate degree "Diplomphysiker" in physics from the University of Hamburg (Germany) and completed his PhD studies in the High Performance Computing Group at the department of Computer Science in Southampton. He is a full professor since 2010, and specialised in computational science, data analysis and software engineering for science.
Keywords:
reproducibility, Reproducible Research, Jupyter notebooks, Research
Identifiers
Local EPrints ID: 472779
URI: http://eprints.soton.ac.uk/id/eprint/472779
PURE UUID: 5b12a598-c06a-4f92-babb-408021a779d0
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Date deposited: 19 Dec 2022 17:31
Last modified: 17 Mar 2024 03:52
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