Introducing Overleaf at WI

Writing is at the core of scientific work: papers, research proposals, reports, and reviews are some of the most important elements of scientists’ everyday tasks. Although the act of writing is a complex subject itself, the tools that enable it are manifold and affect the efficiency of any research project.

Google Docs has established itself as a helpful tool for scientific writing over the past years. It is reminiscent of the well-known Microsoft Word, and is easy-to-use and convenient. As a web service, it does not require installing dedicated software, but works in any modern browser. Its main feature is collaborative writing – documents can be shared either via email address or a link, and edited together in real time, also allowing to post comments and track changes.

At the same time, LaTeX has grown in popularity as an alternative typesetting system and markup language for scientific and technical writing. As opposed to software like Microsoft Word and Google Docs, it distinguishes between the source of a text document which consists of the content as well as formatting instructions, and the rendered document (e.g., in .pdf format) which presents the formatted content accordingly. This separation between source and result enables more precision, since content as well as formatting are both provided in plain text, without applying the formatting right away. There are different LaTeX editors, such as TeXstudio or TeXMaker, that allow to create and edit documents. However, especially in reproducible research, LaTeX is popular for its compatibility with programming frameworks and libraries such as R Markdown, Quarto, Sweave, or PyLaTeX. These allow users to merge text and formatting with information in the programming environment (e.g., analysis results, tables, or figures) using placeholders that are automatically replaced with the current information whenever the document is rendered.

Overleaf is a tool for text editing using LaTeX, but featuring the advantages of Google Docs: It does not require installing separate software, as it is accessible through a web browser, and it enables collaborative writing. While Overleaf can be used on the official website either for free (with limited features) or with a subscription plan (to unlock more), it is also possible to host an instance locally.

To meet the growing demand at WI, avoid subscription costs, and have full control over stored and shared data, we hereby present the brand new Overleaf instance at the Weizenbaum Institute. It not only allows WI researchers, but also their external colleagues to work on text documents together in real time. Overleaf (Community Edition) is hosted by the IT department and administered by the Methods Lab, and it can be accessed at https://overleaf.weizenbaum-institut.de. To use it, an account is required, which can be requested from the Methods Lab. For further instructions, please consult the Overleaf page in the internal Wiki at WI.

Happy writing!

Reference: “When the Field is Online” Newsletter

When the Field Is Online is a monthly newsletter by Janet Salmons, PhD, qualitative methodologist, and author of 12 books in academic writing and research collaboration. Building on this extensive experience, Janet introduces thoughtful and creative strategies to overcome methodological challenges, and to connect meaningfully with others in an increasingly digital research landscape.

Her latest topics have reviewed virtual focus groups, ethics in remote research, reflexivity in data analysis, and tips for recruiting authentic voices. Each issue is unique, with a combination of original essays, thoughtful analysis, instructional videos, open access resources, and a bonus of her own self-drawn illustrations. The blog also links other relevant content and reflections on research obstacles from designing effective studies to asking stronger research questions. For anybody interested in expanding their qualitative research skills, strengthening digital communication, or discovering new ways to connect virtually, When the Field Is Online offers thorough guidance and novel ideas to inspire your work.

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Computing Resources for WI

As digital methods advance rapidly, quantitative empirical research requires greater computing power. This includes complex statistical analyses, model training, and operating generative AI models. The necessary hardware is expensive and challenging to maintain, particularly at the institutional level (e.g., due to high temperatures in HPC clusters). Since not every institution can (or should) set up such hardware independently, resources are shared through collaborations with other institutions.

Against this background, the Weizenbaum Institute is exploring options to enable both low-demand computing tasks (e.g., a virtual machine for background web scraping) and high-demand tasks (e.g., running current large language models) for its researchers. Recently, the following options have been identified (some of which are only available to Berlin scientists):

Datenzentrum Berlin (Berlin University Alliance)

  • Not established yet, but planned

de.NBI Cloud (Deutsches Kompetenzzentrum Clouddienste)

  • free to use with scientific project proposal: https://datenkompetenz.cloud/
  • “Self service” virtual machines
  • currently trying to support digital humanities and social science

FUB-IT (Freie Universität Berlin)

  • Free to use (FU account required; guest accounts are available)
  • High-performance cluster (HPC)
  • Software partially included, some can be requested

Gauss Computing Center

  • Up to very large scale projects (both HPC and AI) on proposal in different calls: https://www.gauss-centre.eu/for-users/hpc-access
  • Several equipment up to supercomputers SuperMUC I and II usable

Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG):

Galaxy Server

  • Community-driven web-based analysis platform for life science research
  • Free to use batch system with many tools usable by browser, huge data sizes are no problem
  • Although coming from Bioinformatics, there are many tools for text processing, audio and image analyses, as well as statistics can be put together in pipelines.

HPI (Hasso Plattner Institut) UP Potsdam

Zentraleinrichtung Campusmanagement (TU Berlin)

  • Free to use (TUB account required)
  • High-performance cluster
  • Software partially included, some can be requested

Zuse Institute Berlin (ZIB)

  • Support from the state of Berlin, linked to BUA, e.g. BI-FOLD also calculates there
  • Provides tailor-made solutions, e.g. can make own instances of HAWKI, LibreChat or similar available with WI licenses
  • Resources available only by collaboration.

Apart from these external offers, the Weizenbaum Institute itself already provides some services to its researchers:

  • Virtual machines
  • Jupyterhub
  • Gitlab

Researchers who are interested in using any of these services can follow the instructions on the according websites for external services. For internal services, instructions are provided in the internal WI Wiki.

Disclaimer: This list will be updated regularly. If you know of any other resources that are available to members of the Weizenbaum Institute, please let us know.