use template for some active or recently closed projects - #81
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Aug 21, 2026
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| | **Project headline** | Future proofing the IMAU Firn Densification Model | | ||
| | **Time frame**| 06/2025 - 06/2026 | | ||
| | **Project description** | [Dr. E. Case](https://elizabethcase.github.io/) works with the [IMAU Firn Densification Model (IMAU-FDM)](https://github.com/IMAU-ice-and-climate/IMAU-FDM). The IMAU-FDM models the transformation of snow to ice, and is primarily used to compute firn (old snow) densification over Greenland and Antarctica. [Dr. E. Case](https://elizabethcase.github.io/) contacted us with the ambition to turn the IMAU-FDM, into an up-to-date, well documented, and easy to maintain and run Fortran project. This was an very interesting request as we tend to assume that Fortran projects are often outdated and less actively maintained legacy code from the 1990s, although Fortran is still one of the most performant programming languages. Throughout this project we mainly acted as consultants on best practices in software development, version control, model configuration and Continuous Integration (CI). We also did development work, e.g. CI, implementing a new parallel framework using MPI and configuration using TOML files. |
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| | **Project description** | [Dr. E. Case](https://elizabethcase.github.io/) works with the [IMAU Firn Densification Model (IMAU-FDM)](https://github.com/IMAU-ice-and-climate/IMAU-FDM). The IMAU-FDM models the transformation of snow to ice, and is primarily used to compute firn (old snow) densification over Greenland and Antarctica. [Dr. E. Case](https://elizabethcase.github.io/) contacted us with the ambition to turn the IMAU-FDM, into an up-to-date, well documented, and easy to maintain and run Fortran project. This was an very interesting request as we tend to assume that Fortran projects are often outdated and less actively maintained legacy code from the 1990s, although Fortran is still one of the most performant programming languages. Throughout this project we mainly acted as consultants on best practices in software development, version control, model configuration and Continuous Integration (CI). We also did development work, e.g. CI, implementing a new parallel framework using MPI and configuration using TOML files. | |
| | **Project description** | [Dr. E. Case](https://elizabethcase.github.io/) works with the [IMAU Firn Densification Model (IMAU-FDM)](https://github.com/IMAU-ice-and-climate/IMAU-FDM). The IMAU-FDM models the transformation of snow to ice, and is primarily used to compute firn (old snow) densification over Greenland and Antarctica. [Dr. E. Case](https://elizabethcase.github.io/) contacted us with the ambition to turn the IMAU-FDM, into an up-to-date, well documented, and easy to maintain and run Fortran project. This was a very interesting request as we tend to assume that Fortran projects are often outdated and less actively maintained legacy code from the 1990s, although Fortran is still one of the most performant programming languages. Throughout this project we mainly acted as consultants on best practices in software development, version control, model configuration and Continuous Integration (CI). We also did development work, e.g. CI, implementing a new parallel framework using MPI and configuration using TOML files. |
qubixes
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Aug 21, 2026
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Small comments, hope it helps!
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| | **Internal reference name** | IMAU-FDM - Firn densification model | | ||
| | --- | --- | | ||
| | **Project headline** | Future proofing the IMAU Firn Densification Model | |
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| | **Project headline** | Future proofing the IMAU Firn Densification Model | | |
| | **Project headline** | Future-proofing the IMAU Firn Densification Model | |
| | **Research Engineers** | [Maarten Schermer](https://www.uu.nl/staff/MDSchermer) , [Modhurita Mitra](https://www.uu.nl/staff/MMitra), [Jelle Treep](https://www.uu.nl/staff/HJTreep) | | ||
| | **Technologies** | Python, data extraction with AI, cloud computing | | ||
| | **Project links** | | | ||
| | **Origin story** | The researcher was forwarded to us by the Ditigal Humanities team. | |
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| | **Origin story** | The researcher was forwarded to us by the Ditigal Humanities team. | | |
| | **Origin story** | The researcher was forwarded to us by the Digital Humanities team. | |
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| | **Project headline** | Extracting data from historical biographies for research on social status | | ||
| | **Time frame** | September 2025 - present | | ||
| | **Project description** | [Prof. M. van Leeuwen](https://www.uu.nl/staff/MHDvanLeeuwen), Professor in historical sociology studies determinants of social status using the Oxford Dictionary of National Biography (ODNB). The ODNB dataset for this study contains biographies of ~40k persons in XML format. To be able to do this research, various potential determinants have to be extracted from the XML files. Prof. van Leeuwen approached us for help in accomplishing this, as the research group lacks the programming skills, as well as skills for using computational infrastructures and AI. In this project we develop a data extraction algorithm using a combination of classical text mining and AI. Because the dataset is proprietary, we use a self hosted LLM for this. | |
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The first sentence, I don't quite understand. It seems like it's missing a verb.
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