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Developers Society

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Developers Society

Welcome to the Developers Society at the University of Sunderland! 🎉 We’re an inclusive community of tech enthusiasts from various academic backgrounds, including Cybersecurity, Computer Systems Engineering, and Computer Science. Our events range from coding workshops 💻 and hackathons 🚀 to guest talks 🎙️ and collaborative projects 🤝—all aimed at enhancing technical skills, providing hands-on experience, and building connections. Whether you’re new to coding or experienced, you’ll find a welcoming space here to learn, innovate, and grow with like-minded peers 🌟

Membership 

  • 🎓 Student Membership fee is free

  • 🤝 Associate Membership fee is free 

Society memberships expire on the 31st July.

By purchasing a society membership, you agree to the Terms and Conditions

Our Events:​​​

Stay in the loop with our latest events, workshops, and guest sessions! Check out our events page for detailed schedules, registration info, and updates on what’s coming up next. Whether you’re looking to dive into a coding workshop, tackle a hackathon, or network with industry leaders, there’s always something exciting around the corner.

👉 Explore Upcoming Events with the Developers Society

Contact us

📧 Email: bi76xp@student.sunderland.ac.uk

Committee

Developers Society Members Code of Conduct

A society member is anyone who has purchased membership to a particular society registered with Your SU.

All society members will

  • Be inclusive; free from racism, classism, sexism, ageism, ableism, homophobia, transphobia, biphobia, body shaming, xenophobia and religious discrimination.
  • Respect the rights of others to express, within the law, their beliefs and convictions.
  • Be positive ambassadors for the SU and the University and will uphold, and not bring into question or disrepute, the reputation of the SU, University, or any society.
  • Not partake in initiations and report any such activities and unacceptable behaviours to Your SU.
  • Treat facilities, staff and students at the University, and other individuals and organisations, with respect, abiding by any rules that may apply and any agreements that have been made with them, including the society’s committee.
  • Ensure that all media, including digital and print, is free from material that could be deemed offensive or in breach of the law.
  • Act respectfully regarding the taking and using of photographs and filming.
  • Follow the SU’s financial and administrative processes and accept liability for any losses incurred as a result of not following the correct financial procedures of the SU.
  • Not raise money for a charity other than the SU without the prior agreement of the SU.
  • Not enter into any contracts, sponsorship agreements or orders without SU agreement.
  • Ensure that the finances of the society are used only to benefit our members and no individual member shall receive financial gain from the society’s activities.
  • Ensure that society committee members are selected fairly in line with SU guidance and as outlined within this document.
  • Comply with the Freedom of Speech policies of the University.
  • Act within the law.
  • Accept that the SU may take action or un-register the society if we fail to comply with this Code of Conduct.

Back to the society page

ML Paper Reading Club 2025

2025 ML Paper Reading Club Members

Club Member Articles

Read insights and critical analyses written by our participants:

FAQs

Event Details

When: Every Tuesday of February at 11 AM

Where: Edinburgh Building

Join us for a series of engaging discussions on machine learning research papers, where we analyse and share insights together!

The event wrapped up on February 25th. Below, you'll find a list of all our previous sessions from the ML Paper Reading Club:

Past Events on February 2025

Papers read

  • 📄 Jenni A. M. Sidey-Gibbons and Chris J. Sidey-Gibbons (2019) ‘Machine learning in medicine: a practical introduction’, BMC Medical Research Methodology, 19(1), pp. 64--64. Available at: https://doi.org/10.1186/s12874-019-0681-4.
  • 📄 Salod, Z. and Singh, Y. (2019) ‘Comparison of the Performance of Machine Learning Algorithms in Breast Cancer Screening and Detection: A Protocol’, Journal of Public Health Research, 8(3), pp. 1677–1677. Available at: https://doi.org/10.4081/jphr.2019.1677.
  • 📄 Amethiya, Y., Pipariya, P., Patel, S. and Shah, M. (2022) ‘Comparative analysis of breast cancer detection using machine learning and biosensors’, Intelligent Medicine, 2(2), pp. 69–81. Available at: https://doi.org/10.1016/j.imed.2021.08.004.
  • 📄 Eshaghi, A., Young, A.L., Wijeratne, P.A., Prados, F., Arnold, D.L., Narayanan, S., Guttmann, C.R.G., Barkhof, F., Alexander, D.C., Thompson, A.J., Chard, D. and Ciccarelli, O. (2021) ‘Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data’, Nature Communications, 12(1), pp. 2078–2078. Available at: https://doi.org/10.1038/s41467-021-22265-2.

Club Members

Organizers and hosts

 

Participants

Future Research

Several participants of the ML Paper Reading Club are actively collaborating in the writing of research papers. Their involvement has fostered a strong sense of teamwork and has allowed for the development of new ideas and insights within the field. It's exciting to see the club not only as a place for learning but also as a platform for contributing to the academic community.

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