Research
Advancing data systems and analytics that enable scalable insights, intelligent applications, and scientific discovery.
Physics-based groundwater – surface water modeling at continental scale Aquanty, which is a research spin off from the University of Waterloo, is at the forefront of developing state-of-the-art fully-integrated hydrologic models to better understand and…
Air pollution is an invisible health hazard, responsible for an estimated 10 million premature deaths annually. Pollution is also unequally distributed within cities, producing inequitable exposures that are a key environmental justice concern. This panel…
Project Eclipse is a full-stack solution for neighborhood scale air quality monitoring in cities. Custom low-cost, solar powered sensing hardware feeds an Azure-based data and analytics stack that then drives end user experiences for various…
First, Nancy Baym gives an over of the six principles of thriving organizations. Organizations of all kinds are seeking new footing as their assumptions about how they can and must function have been disrupted over…
Microsoft is a founding member of Tech Against Trafficking (TAT) – a coalition of organizations working to combat human trafficking with technology. In this session, we will introduce partnerships with the Counter Trafficking Data Collaborative…
In many domains, user preferences are similar locally within like-minded subgroups of users, but typically differ globally between those subgroups. Local recommendation models were shown to substantially improve top-k recommendation performance in such settings. However,…
Recent developments in network machine learning have opened up new opportunities in the realm of organizational behavior. Learn more about these methods and techniques in this demonstration in the domain of organizational analytics. Learn more about…
Recent research has shown that representations learned from user-user and user-item graphs can be used to improve recommendation performance. In this research, the recommendation model is often trained with representation learning. In project DEEGO, we…
Data science is increasingly being used to ground decision-making in both industry and public life. As data become significant and powerful, people who rely on those data come to expect certain things from the data.…
