'Space for Sharing' photographic exhibition launched today in Winter Gardens

As part of the ESRC Festival of Social Science, a new exhibition will be displayed in Sheffield Winter Gardens from Monday 31 October to Friday 11 November exploring empathy and trust in a digital world.

This powerful exhibition features images by the photographer Anton Want and findings from the 'Space for Sharing' project to illustrate how people share information online when they are in extreme circumstances, such as terminal illnesses and natural disasters.

All are welcome.

Festival of Social Sciences:
festivalofsocialscience.group.shef.ac.uk/

More about the project can be found here:

http://www.space4sharingstudy.org/

The 'A Shared Space and A Space for Sharing' project is one of several funded through the EMoTICON network, which is funded through the following cross-council programmes:

- Partnership for Conflict, Crime and Security Research (led by the Economic and Social Research Council (ESRC)
- Connected Communities (led by the Arts & Humanities Research Council (AHRC)
- Digital Economy (led by the Engineering and Physical Sciences Research Council (EPSRC)

in partnership with:

- Defence Science and Technology Laboratory (Dstl),
- Centre for the Protection of National Infrastructure (CPNI)

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Joint PhD presentation between Sheffield and Makerere, Uganda, delivered by Liliana Sepulveda Garcia

Last week saw the first presentation in a series of joint talks between the Information School's Health Informatics and Information Systems Research Groups in Sheffield. and Makerere University in Kampala, Uganda.The talks aim to promote research collaboration and knowledge sharing.

Dr Laura Sbaffi and Dr Efpraxia Zamani are organising this series and chairing the Sheffield presentations, and Prof Josephine Nabukenya will be chairing the presentations from Makerere.

In this first session, PhD student Liliana Sepulveda offered the audience a great overview of her PhD research on "An experiential study of the human-technology relationship between informal caregivers of people with dementia and assistive technologies".

There will be similar virtual meetings every month and the next schedule one is for Tuesday 11th June, when a PhD student from Makerere will be presenting their work. More details will be forthcoming.

You can view the recording of the session here: https://di…

New Article: Services for Student Well-Being in Academic Libraries: Three Challenges

Services for Student Well-Being in Academic Libraries: Three Challenges
Our Director of Research and Senior Lecturer, Dr Andrew Cox, has published a new article alongside Dr Liz Brewster at Lancaster University.

There has been a wave of interest in UK academic libraries in developing services to support student well-being. This paper identifies three fundamental and interrelated issues that need to be addressed to make such initiatives effective and sustainable. Firstly, well-being has to be defined and the impacts of
interventions must be measured in appropriate ways. Secondly, there is a need to identify the true nature of the underlying social problem around well-being. Thirdly, relevant approaches to the issue need to be located within the professional knowledge base of librarianship.
To read the article, click here.

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.'

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