Architecture and urban design projects are constantly breaking barriers of scale and complexity and continuously seek improved efficiency, sustainability, building energy performance, and cost-effectiveness. Simulation and largescale data processing are now fundamental elements of this process. Recent advances in algorithms and computational power offer the means to address the complex dynamics...

In this work we introduce malware detection from raw byte sequences as a fruitful research area to the larger machine learning community. Building a neural network for such a problem presents a number of interesting challenges that have not occurred in tasks such as image processing or NLP. In particular, we note that detection from raw bytes presents a sequence problem with over two million ti...

To address disproportionately high rates of diabetes morbidity and mortality in some of Chicago's medically underserved minority neighborhoods, a group of community residents, medical and social service providers, and a local university founded the Chicago Southeast Diabetes Community Action Coalition, a Centers for Disease Control and Prevention REACH 2010 Initiative. A community-based partici...

Distressed neighborhoods in North Charleston (SC, USA) are impacted by the cumulative effects of multiple environmental hazards and expansion of the Port of Charleston. The Low Country Alliance for Model Communities (LAMC) built an environmental justice partnership to address local concerns. This case study examines the process of building and sustaining a successful transformative and authenti...

This paper explores knowledge building in a community identified by Bielaczyc and Collins (2006) as a hotbed community—a community in which knowledge creation has taken on a life of its own. The practices of six elementary schoolteachers are analyzed to inform the development of teachers’ knowledge-building practices and to better understand how teachers develop and sustain innovative knowledge...