How do we develop student projects?

In the process of brainstorming and project development we make sure to discuss the following questions:

  • Why? What's the interesting question? How is this situated in the philosophical literature? What is already known perhaps from small-N qualitative studies?
  • What? Which corpora are useful for answering this question? Or do we need to build new ones?
  • How? How Which tools are useful? Do we need to or want to build new ones?

We regularly use the following soures or combinations

  • Abstracts from arXiv, CrossRef or Elsevier
  • Full structured text from Elsevier or DH4PMP arXiv pipeline
  • Post-publication review from ZbMATH
  • Citation networks from CrossRef
  • Digitalized pages from eg GDZ
We are interested in quetions about scientific practice, primarily in mathematics, but also in computer science, biology or physics.

Project ideas, mainly ML

  • BERT-based model for mathematics: There exists a BERT-model trained on mathematical texts. However, it does not outperform models trained on broader scientific texts nor even on general BERT-models. Therefore, it is a project to scope existing SOTA models, define a corpus, train a model for mathematics, assess it, and apply it to an interesting question in philosophy of mathematics.

Project ideas, mainly DH and PMP

  • Narrative structure in mathematics: Mathematical texts follow narrative structures both in terms of concepts and in framing and hedging. Therefore it is a project to develop ways of tracing internal structure of mathematical texts, for instance about the position and semantic roles of examples and counter examples. Such a framework would allow for philosophical analyses of the epistemic roles of such elements.

It is important to notice that these examples are only suggestions and that a real question and problem description will be developed in collaboration between student and supervisor.

The projects described above are deliberately broad; typically the project description phase would entail shortening and sharpening the question, leaving parts of the project suggestion out.

For instance, the above suggestions can be adapted to apply to e.g. computer science rather than mathematics as a discipline.

If you want to know more about past projects, please refer to our list of present and former group members.

If you are interested in our work, please do not hesistate to contact us.