Claudiu Forgaci
TU Delft, Assistant Professor of Urban Design and Analytics
Delft, The Netherlands
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I am an assistant professor of urban design and analytics at TU Delft, passionate about asking spatial and non-spatial questions with R. I co-initiated Rbanism, a community of R users that aims to empower urbanism researchers, students, educators and practitioners to use open-source software and related open-science practices effectively and with confidence. Currently, I focus on developing an open-source tool for urban river space analysis, and on text mining applied in urbanism education.
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The Rbanism Community: Empowering Urbanists to Use Research Software Effectively and with Confidence
The Rbanism community aims to empower urbanism researchers, students, educators and practitioners to use open-source software and related open-science practices effectively and with confidence. It raises awareness, stimulates engagement and builds capacity by demonstrating the benefits of reproducibility, automation and scalability. Rbanism was initiated in 2021 by a group of R users in the Department of Urbanism at TU Delft, and it has scaled up to an international community of 70+ members.
Our mission is to cultivate scientific computing, data science, computational thinking and software management skills applied to urbanism. To that end, our activities include workshops, many of which are carried out as part of the Carpentries, challenges with prizes, and meetups. In addition to in-person activities, we organise online events open to our international community members. These various forms of engagement follow our commitment to inclusion and accessibility.
The Rbanism community is supported by the Netherlands eScience Center, the Open Science Community Delft, as well as the Department of Urbanism and Central Library at TU Delft.
Website: www.rbanism.org
`mintEMU`: Mining the Theses of the European Post-Master of Urbanism
mintEMU is a text mining project aimed at describing the legacy of the recently discontinued European post-Master of Urbanism (EMU) at TU Delft, Netherlands. The project uses EMU theses published in the TU Delft education repository between the start of the program in 2005 and its closure in 2021. An LDA topic model was used with a number of clusters defined qualitatively according to the thematic set-up of the EMU program. I will discuss the topics, the distribution of theses over topics, and the evolution of topics over the years of the EMU program.
While describing project findings, I will outline the text mining process carried out in R and the development of `mintEMU`, a reproducible research compendium, i.e., an R package comprising a paper, a FAIR dataset and a Shiny dashboard. Building on general-purpose text mining R packages, `mintEMU` adds functionalities needed for the specific structure and content of theses. Based on the experience of the `mintEMU` research compendium, I will discuss the prospect of the general thesis mining package `mint`.
`mintEMU` was developed by Claudiu Forgaci and Aleksandra Wilczynska and can be found at https://github.com/UD3-Lab/mintEMU
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