# Comments
Based on thorough evaluation of your proposal by the Scientific Committee (ScC), we are delighted to inform you that your session "514. Archaeological Research Software Engineering: Little Minions, Scripting in Digital Archaeology and Software as Research Data Using FAIR4RS" has been provisionally accepted subject to changes recommended by the Scientific Committee as per below:
*The discussed topic is highly intriguing, and the involvement of scholars less familiar with computational archaeology and engaging scholars less acquainted with computational archaeology is pivotal in elevating the status of software creation within theacademic sphere, as highlighted in the abstract.*
>* To accomplish this, refining the abstract for broader comprehension among diverse audiences would be advantageous.
>* Moreover, we strongly advocate for emphasizing statistical and computational approaches throughout.
## Title new_v2 (max. 20 words)
Applying archaeological Research Software Engineering as Little Minions: Statistical & computational approaches to daily archaeological tasks
## Abstract new_v2 (150-300 words)
Nowadays computer applications as well as statistical and computational approaches constitute a big part of the toolbox of every archaeologist, as they open tremendous possibilities for all research. These can be ready-to-use (proprietary) software applications but also "Little Minions" (self-scripted tools) or research software (e.g. implementation of statistic algorithms in R, Python), which are written by researchers. Both, research software and research data are part of Computational Archaeology and play an important role in up-to-date archaeological research. Optimally research data (and software) is **FAIR**(**4RS**) – **F**indable, **A**ccessible, **I**nteroperable, **R**e-usable (**for** **R**esearch **S**oftware) – and reproducible of which other users can benefit from or even develop further. The increasing number of topics and papers at the international and national chapters of the CAA show manifold applications but also implications. Working Groups like the SIG SSLA (https://sslarch.github.io) or the "Little Minions" (https://littleminions.link) also deal with Computational Archaeology and are building a community.
Several initiatives, such as the German National Research Data Infrastructure (NFDI) – especially NFDI4Objects – or the European Open Science Cloud (EOSC), engage with this topic to strengthen the position of Computational Archaeologists and Research Software Engineers, highlight the scientific merit of their work, and ensure researchers receive credit for computational approaches, software development, as well as for writing papers.
To support this, this session invites contributions dealing with various aspects of Computational Archaeology, but not limited to:
* treating source code/software as research data
* presenting a "Little Minion"
* discussing challenges in Computational Archaeology
* advancing new algorithms and statistical/computational analysis methods
* (critical) use of AI, discussing pitfalls and complications
* addressing the divide between FAIR(4RS) principles and practices
* incorporating FAIR(4RS) principles into the teaching curriculum
* discussing approaches concerning problems and solutions to legacy data and software
* making complex statistical and computational methods accessible to main-stream archaeology
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>## Title new (max. 20 words)
>Applying archaeological Research Software Engineering (RSE) as Little Minions: Statistical & computational approaches in daily archaeological tasks
>## Abstract new (150-200 words) !!!
>Computational Archaeology plays an important role in up-to-date FAIR(4RS), reproducible and replicable archaeological research. The increasing number of topics and papers at the CAA conferences shows manifold applications but also implications. Small helper scripts ("Little Minions") and research software (e.g. implementation of statistical and computational approaches in R or Python) are both FAIRification tools and research data itself. Several initiatives, such as NFDI4Objects or the EOSC, engage with this topic to strengthen the position of Computational Archaeologists and RSEs, highlight the scientific merit of their work, and ensure researchers receive credit for software development, as well as for writing papers.
>To support this, this session invites contributions dealing with various aspects of Computational Archaeology and RSE, but not limited to:
>* treating source code/software as research data
>* presenting a "Little Minion"
>* discussing challanges in Computational Archaeology
>* advancing new algorithms and statistical/computational analysis methods
>* (critical) use of AI, discussing pitfalls and complications
>* addressing the divide between FAIR(4RS) principles and practices
>* incorporating FAIR(4RS) principles into the teaching curriculum (top-down vs. bottom-up approach)
>* discussing approaches concerning problems and solutions to legacy data and software
>* making complex statistical and computational methods accessible to main-stream archaeology
>## Title old (max. 20 words)
>Archaeological Research Software Engineering: Little Minions, Scripting in Digital Archaeology and Software as Research Data using FAIR4RS
>## Abstract old (150-300 words)
>Computational Archaeology, or Archaeoinformatics, plays an important role in up-to-date FAIR and FAIR4RS (F- Findable, A- Accessible, I-Interoperable, R- Reusable), reproducible and replicable archaeological research. The increasing number of topics and papers at the international and national chapters of the CAA shows manifold applications but also implications. Special Interest Groups (SIG) such as the "Scientific Scripting Languages in Archaeology" (SSLA) or "Little Minions" also deal with Computational Archaeology but from different aspects. 'Small' helper scripts ("little minions") and research software (e.g. implementation of statistic algorithms in R or Python) are both FAIRification tools and, on top of it, also research data itself.
>Several initiatives, such as the German National Research Data Infrastructure (NFDI) or the European Open Science Cloud (EOSC), engage with this topic to strengthen the position of Computational Archaeologists and Research Software Engineers, highlight the scientific merit of their work, and ensure researchers receive credit for software development, as well as for writing papers.
>To support this, this session invites contributions dealing with various aspects of Computational Archaeology and Research Software Engineering, but not limited to:
>* treating source code/software as research data
>* presenting a "Little Minion"
>* discussing problems in Computational Archaeology
>* advancing new algorithms and statistical analysis methods
>* (critical) use of AI, discussing pitfalls and complications
>* addressing the divide between FAIR(4RS) principles and FAIR(4RS) practices
>* incorporating FAIR(4RS) principles into the teaching curriculum (top-down vs. bottom-up approach)
>* discussing approaches concerning problems and solutions concerning legacy data and software
>* making complex statistical and computational methods accessible to main-stream archaeology
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