Sheffield Hallam statement on the situation in Afghanistan
The situation in Afghanistan is extremely concerning, and we know that members of our staff and student community will be worried about what the future holds for those who live there.
New Master Cutler visits Hallam’s National Centre of Excellence for Food Engineering
The new Master Cutler, Dame Julie Kenny, has visited Sheffield Hallam’s National Centre of Excellence for Food Engineering (NCEFE) to learn more about the University’s work to address challenges across the food and drink industry.
Save the Children Patron, Her Royal Highness The Princess Royal, meets children and families at groundbreaking Sheffield nursery
Her Royal Highness The Princess Royal, celebrated the work of a pioneering nursery which is helping dozens of children each year reach their potential in early years education.
Legal information
Copyright and other legal information concerning the content of the Sheffield Hallam University website
Stoddart Lecture Theatre
Bright, high-tech theatre in Sheffield Business School, ideal for conferences and seminars.
Advice on the Development of a Neighbourhood Baselining Approach
Client: Sheffield Housing Company| Staff: Sarah Pearson and Ian Wilson
Understanding factors influencing vulnerable older people keeping warm and well in winter: a qualitative study using social marketing techniques
Download Understanding factors influencing vulnerable older people keeping warm and well in winter: a qualitative study using social marketing techniques
Contributions and challenges of cross-national comparative research in migration, ethnicity and health: insights from a preliminary study of maternal health in Germany, Canada and the UK
Contributions and challenges of cross-national comparative research in migration, ethnicity and health: insights from a preliminary study of maternal health in Germany, Canada
Hallam picks up HE award
Sheffield Hallam picks up award at higher education's most prestigious ceremony
Sheffield Hallam University and Guildhawk maintain their close partnership, and are now Enhancing AI with Multilingual Data
This pioneering collaboration aims to revolutionise the way datasets are used for training machine learning models. The focus is upon multilingual work essential in sectors such as medical, engineering, and safety. Inadequate or biased labelling can lead to AI 'hallucinations' – generating incorrect or prejudiced responses – which can have dire consequences in high-stakes industries.