Are you an individual who pursues creative friction and synergies across disciplinary boundaries, especially those between the humanities, social sciences, natural sciences and engineering, design, computing and technology?

Then apply for The university of Toronto Digital Curation Institute DCI fellowship program 2021-2022 where you would be united with leading researchers in digital curation in a broad, inclusive perspective on the field, with the aim to provide a vibrant space of investigation, exchange and discussion

Application Deadline: March 30th 2021


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  • Funding: A stipend of $10,000 CAD.
  • Community: The Fellow will be integrated into the intellectual life at the DCI and the Faculty of Information. As part of this, the Fellow will be given the opportunity to be significantly involved with the organization of the funded lecture series at the DCI, which brings leading international guest speakers to Toronto.
  • Support network: Embedding into the social and intellectual fabric of UofT, the Faculty of Information, the Digital Curation Institute, and partnering institutes such as the McLuhan Centre for Culture and Technology provides a unique support network within  a vibrant and growing intellectual environment
  • State-of-the-art facilities: The Fellow will have full access to the new lab for data-intensive approaches to digital curation with cutting-edge collaboration, visualization and data-intensive computing technology. The lab is located in the newly redesigned Inforum at the iSchool.
  • A platform for discourse, community and visibility through the involvement in the organization of the lecture series and the opportunity to hold lectures and workshops at the DCI and the Faculty of Information.
  • Recognition: The fellowship is awarded annually through a competitive process, and announced and promoted publicly.



  • Academic faculty member (at any level), Adjunct instructor, Industry professional, graduate student, or postdoctoral fellow. 
  • Each of the categories is given equal consideration. 
  • Only one Fellowship will be awarded each year.

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Application Instructions

  • All applications must be sent to christoph.becker@utoronto.ca with the subject “Application to DCI fellowship” and should contain (1) A CV and (2) A brief research proposal (2 single-spaced pages plus references). We will solicit two reference letters, to be sent under separate cover by the writers, for shortlisted applicants only

Strong applications should demonstrate the:

  • Excellence of researcher (taking into account the career stage; as evidenced through CV and letters),
  • Originality and excellence of proposed research (including quality of work plan and outcomes),
  • Relevance of proposal to the areas described above, and
  • Contribution of the proposed fellowship to the DCI and the Faculty of Information (contributions to teaching, research and the community within and outside the Faculty).

About the University of Toronto Digital Curation Institute (DCI) fellowship program

This is the sixth year of the 7-year Fellowship program initially called the McLuhan Centenary Fellowship at the Digital Curation Institute. The Fellowship has been held by Prof. Ian Milligan, University of Waterloo,  Dr. Maria Angela Ferrario, Lecturer in Digital Technology and Environmental Change at the School of Computing and Communications, Lancaster University, UK Dr Yunyuong Kim, Lecturer in Information Studies at the School of Humanities, University of Glasgow, UK (announcement), and Dr. Victoria Palacin, postdoctoral researcher at the University of Helsinki .

Key Dates and Order of Program

The fellowship period runs from 1 July to 30 June each year. In this round, the fellowship starts in July 2021.

Deadline for application submission is 30th March 2021

All applications will be reviewed by the Director of the DCI and two additional faculty members at the iSchool. 

The program would run at the Digital Curation Institute (DCI), Faculty of Information at the University of Toronto.

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Babajide is a content writer and site admin at Camberene. He majored in zoology and is also a tech enthusiast proficient in the use of python, R and other data analytics tools.

Babajide is looking into using machine learning and artificial intelligence in the near future.