Any views expressed within media held on this service are those of the contributors, should not be taken as approved or endorsed by the University, and do not necessarily reflect the views of the University in respect of any particular issue.

The adoption of artificial intelligence (AI) in workplaces has increased in recent times, leading to some post-capitalist future theories where humans are entirely freed from work through full automation (Russell and Susskind, 2021; Srnicek and Williams, 2015). At first, this vision of a future without work seems attractive – it promises a hedonistic form of […]

In a recent essay I wrote on the Inclusive Society course, I was faced with the challenge of choosing which case study fit best for the title challenge. Apparently, I wanted to elaborate on some projects in healthcare in Nigeria that could portray an inclusive one, but most of the ones I turned to were […]

The COVID19 pandemic exposed so many of the disparities in access to healthcare facilities within communities. These inequalities could be a result of the built infrastructure in society. Some of these can either encourage or discourage where to live, and they can shape the overall health outcomes of communities. In the Data, Mobility, and Infrastructure […]

Coming from a colonised society, influenced my perception of coloniality. Initially, I had thought of coloniality as merely political, a view through the lens of superiority and inferiority, mastery and slavery, idealism and non-idealism, belief and unbelief, and other such dichotomies. As I reflect on my learning in the Coloniality of Data course, I realise […]

The Inclusive Society course intensive was an interesting class, which I enjoyed from the lecturers to the guest presenters. The appreciation of the intensive rolls from the previous semester, which taught about exclusion and inequality in society. I recall that the class, which showed the different ways exclusion happens in society, also included some ideas […]

“The Ethical Data Futures” proved not just engaging but deeply insightful in highlighting the ethical minefield surrounding data handling. “Excavating AI” especially captivated me by drawing on the historical layers that laid the foundation for today’s AI landscape. The authors’ observation of diverse political perspectives at the outset of AI development resonated deeply. Their categorisation […]

Forced displacement is a very important topic of discussion in our current society, especially in relation to climate change. Reflecting on my intensive class on forced displacement opened me up to the different challenges faced by forcibly displaced people. Among these is poor treatment, as treating them as data objects is quite dehumanising. My observations […]

Rounding off the Welcome Week at The University of Edinburgh on the first week of resumption, we were treated to dinner by the Mastercard Foundation Scholars Programme at the University of Edinburgh. It was a time to create moments, share stories, and have lots of laughs with Pauline Ooko, Mary Joboson, Mirabelle Morah, Foni Vuni […]

Reflecting on my group work, which we presented this week, makes me appreciate the significance of interdisciplinarity. The healthcare sector was where I first learned the word multi-disciplinarity. It was easy for me to identify it as a place of multidiscipline. During my employment in Nigeria in a hospital, we usually had a multidisciplinary meeting […]

css.php

Report this page

To report inappropriate content on this page, please use the form below. Upon receiving your report, we will be in touch as per the Take Down Policy of the service.

Please note that personal data collected through this form is used and stored for the purposes of processing this report and communication with you.

If you are unable to report a concern about content via this form please contact the Service Owner.

Please enter an email address you wish to be contacted on. Please describe the unacceptable content in sufficient detail to allow us to locate it, and why you consider it to be unacceptable.
By submitting this report, you accept that it is accurate and that fraudulent or nuisance complaints may result in action by the University.

  Cancel