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Institute for Advanced Study (IAS) Institute for Advanced Study (IAS)

Joint DSC/IAS Fellowship Call on Knowledge Infrastructures

19 June 2024

The UvA Data Science Centre (DSC) and Institute for Advanced Study (IAS) are joining forces for the third time by opening up a joint fellowship opportunity. We welcome applications for our third DSC/IAS Joint Fellowship Call on Knowledge Infrastructures.

For this call, the IAS and DSC are looking for proposals that are aligned with the theme Knowledge Infrastructures. We explicitly welcome joint applications from small teams of researchers that combine expertise in data science and other research areas, possibly in combination with philosophy of science and science and technology approaches. 

A PhD degree is a minimum requirement for at least one of the applicants. The applicant(s) is/are required to have demonstrable (combined) expertise in both Data Science/Machine Learning and another discipline. 

Fellowships usually have a duration between 2 - 6 months. For non-EU nationals, the maximum duration of fellowships is 3 months. However, fellowship duration and start date can be tailored to individual needs. Application is open until 15 September 2024.  

More information and application instructions

About UvAs Data Science Centre 

To accelerate the fruitful uptake of Data Science methods and tools across the university, in 2021 the UvA created its own Data Science Centre (DSC). Meanwhile, the Centre has supported all UvA faculties to embed Data Science expertise into their existing teams to develop, share and apply data science methods and technologies. 

About UvAs Institute for Advanced Study 

IAS’ mission is to advance cutting-edge interdisciplinary research that addresses complex scientific and societal challenges. It does so by incubating interdisciplinary research collaborations, connecting them to other societal actors and supporting the work of (teams of) Fellows to freely explore and collaborate, driven by curiosity. 

References

  • Beaulieu, A. (2022). Data Practices and Sustainable Development Goals: Organising Knowledge for Sustainable Futures. The Palgrave Handbook of the Anthropology of Technology (pp. 355–377).
  • Edwards, P. N. (2016). Knowledge infrastructures for the Anthropocene. The Anthropocene Review, 4(1), 34–43.
  • Pipek, V., Karasti, H., & Bowker, G. C. (2017). A Preface to ‘Infrastructuring and Collaborative Design’. Computer Supported Cooperative Work (CSCW)/Computer Supported Cooperative Work, 26(1–2), 1–5.