This is a call for PGR, Post Doc, and ECR applications.

As part of this year’s CIDRAL programme dedicated to the theme of ‘Archives’ a group of academics in SALC and UoM’s cultural institutions have received funding to develop three one-day workshops on intersecting ideas of the Imperial/Colonial Archive, Bureaucracy, Material Culture, and Theories of Emotion and Affect.

We would now like to invite short applications from PGRs, Post Docs, and ECRs who are interested in participating in the workshops. To register your interest please send the following to Emma Martin: emma.martin-2@manchester.ac.uk and Lewis Ryder: lewis.ryder@manchester.ac.uk by the end of 22 November 2023:

• A short statement (300 words max.) on how your research relates to the themes of the workshops and what you aim to gain and contribute from your involvement in the research network (e.g. outputs, including thesis chapters, conference talks, published papers, and grant applications);
• A 2-page CV.

Each of the three CIDRAL-funded one-day workshops aims to develop thinking on the still little considered area of emotion-centred histories of the imperial archive, exploring how feeling, sense, and emotion are archived – both because of and despite colonial bureaucratic processes. The workshops are further bound together by a collective interest in the colonial object – loot, diplomatic gifts, the bureaucratic file, and the museum collection – as a way to consider the emotional reactions and justifications afforded the practices that took objects away from their originating community and owners. The workshops will begin to consider how emotions played a central role in shaping imperial practice i.e., how feeling influenced actions. Beyond the historical context the workshops will also address the ongoing emotional effect archival indifference has today by asking the question, how do we return emotion to an archive through the ways it is researched, re-narrated, and shared?

(c) Lewis Ryder and Emma Martin. This image has been generated by using AI.

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