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Recent discourses on smart cities have been primarily focused on the deployment of technical infrastructures such as sensor installation, data collection, and security measures. These practices, however, are accompanied with tacit and explicit ideas about ideal cities and human values. This paper presents the preliminary results of an ethnographic study that looks closely at the North Avenue Smart Corridor in Atlanta, Georgia aimed at unpacking the driving ideas behind smart cities initiatives and critically engaging its key assumptions of progress and efficiency.

In this project, we have used machine learning to develop a decision support tool for patients on the deceased-donor organ transplant waiting list. The idea is to evaluate the trade-offs in accepting organs that are labelled as 'Increased Risk Donor' (or IRD) organ versus choosing to remain on the waitlist to receive a non-IRD organ. We have built post-transplant survival models to predict the outcomes in both cases and compared them, based on the patient and donor characteristics, to help patients in making more informed decisions.

Can locative media (Augmented and Mixed Reality, web applications, and social networking) serve as a platform for preservation of cultural heritage, informal education, and civic engagement? This is the question at the heart of the Auburn Avenue Research Project, a project that brings together researchers from a variety of disciplines – including media theory, design studies, and human-computer interaction – to engage the above question in theory and practice.