Behind each data point sits a person. This person navigates the digital space in many ways, allowing their world to be to be understood through the novel analysis of their data trail. The human experience of living in a data-intensive environment provides a range of encounters, especially where trust and regulation are involved. Also, this digital space spills into the physical world for all of us. With this in mind, what really is the human side of making sense of data?
The Human Side of Data Brochure
Rachel Saunders – Quantifying Access to Justice using publicly available datasets
Giovanni Schiazza – Internet Political Memes and Political Learning: an Experimental Approach
Joanne Parkes – “It is what it is”: Learned Helplessness in the Digital Age
Charlotte Lenton – Towards a Holistic Approach to Constraints Analysis: Using Cognitive Work Analysis and Constraints Negotiation Theory to Explore Constraints to Travel by Rail in the UK
James Williams – Location-Based Interaction: A review of implicit and explicit input techniques in mobile location-based services
Joshua Duvnjak – Examining The Effect of Automation Reliability on The Automation Trust and Task Performance Within a Quality Control Task
Jenn Layton Annable – Being, Becoming, Owning: Dialogic Autoethnographies
Ellie Colegate – Regulating Harmful Content by Definition – Comparing the Reported Harmful Experiences had by Young People with the Scope of the Online Safety Bill
Kathryn Baguley – How important is the definition of Personal Data for UK organisations looking to introduce Artificial Intelligence (AI) technologies?
Guido Salimbeni – The Five Tropes of Artificial Intelligence Art
Muhammad Suhaib Shahid – Research In methodologies for modelling the Oral Cavity
Dan Heaton – “The Algorithm Caused Chaos”: Blame, Agency and the Ofqual A-Level Results Algorithm
