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The MORPHSS project: Materialising Open Research Practices in the Humanities and Social Sciences

MORPHSS aims to investigate and promote open research practices in the Humanities and Social Sciences (HSS).  The project is designed to create frameworks and guidelines to encourage adoption of open practices in HSS as well contribute to our knowledge of such practices. The three-year, £800,000 project is a collaboration between Cambridge University Library, Cambridge Digital Humanities, Coventry University, the University of Sheffield and the University of Southampton. It is jointly funded by the Research England Development (RED) Fund, the Wellcome Trust and the Arts and Humanities Research Council.  The work to be carried out at Sheffield will be led by Stephen Pinfield, who now has a process in train to recruit a postgraduate research associate to work on the project for the next two years. The Sheffield team will contribute to the project as a whole but will focus for a significant proportion of their time investigating open practices in the Social Sciences, pa...

PhD student Gianmarco Ghiandoni presents at UK-QSAR conference

Gianmarco Ghiandoni, PhD student in our Chemoinformatics research group, recently attended and presented at the UK-QSAR conference in Cambridge. Gianmarco attended the conference and presented a part of his PhD project, which involves the development of "Reaction Class Recommender Systems in de novo Drug Design". 'These algorithms are machine learning models that have recently acquired great importance due to their effectiveness in product recommendation', Gianmarco said. 'In particular, companies such as Amazon, Netflix, Spotify, etc., have built their reputations and businesses on the top of these models. At Sheffield, we have decided to apply these methods in order to produce suggestions for decision making in automated molecular design. The results from their application indicate that recommender systems can improve the synthetic accessibility of the designed molecules whilst reducing the computational requirements.'