Chicago Tonight et al.

This month's announcement of a $3.1 million National Science Foundation for Array of Things inspired a wave of enthusiastic coverage about the urban sensing project. The plan to install 500 sensor nodes, collecting data on Chicago's environment, infrastructure, and activity, was touted as an important step towards creating a "smart city," boosting data-driven public policy and community engagement. 


The University of Chicago announced today that the National Science Foundation has awarded a $3.1 million grant to support the development of Array of Things, an urban sensing instrument that will serve as a fitness tracker for the city. Starting next year, 500 Array of Things (AoT) nodes will measure data on Chicago’s environment, infrastructure and activity to scientifically investigate solutions to urban challenges ranging from air quality to urban flooding.

LSE Impact Blog

Wikipedia is significantly amplifying the impact of Open Access publications


Today, a scientist's most desired citation may be from a publication not often thought of as prestigious: Wikipedia. While the open, user-curated encyclopedia may have occasional credibility issues, it remains the first source many people -- even scientists themselves -- consult when faced with an unfamiliar topic. As such, a Wikipedia reference may expose more people to a particular research finding than any citation from a scientific journal.


Urban Center for Computation and Data

The Urban Center for Computation and Data unites scientists from the University of Chicago and Argonne National Laboratory with educators, architects and government officials to capitalize upon the growing availability of city datasets and the emergence of urban sensor networks. The interdisciplinary collaboration will analyze and integrate those data sources and build complex computer models that can anticipate the impact of policy decisions, investments, urban development or other interventions on a city and its residents.

Knowledge Lab logo

Knowledge does not arise from the simple accumulation of facts. Rather, it is a complex, dynamic system, and its emergent outcomes - including scientific consensus - are unpredictable. The complexity of knowledge creation has exploded with the growing number of participating scientists and citizens. If human knowledge is to grow efficiently, we need a deeper understanding of the processes by which knowledge is conceived, validated, shared and reinforced. We need to understand the limits of knowledge in relation to these processes. In short, we need knowledge about knowledge.

The Eric & Wendy Schmidt Data Science for Social Good fellowship is a University of Chicago summer program for aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, energy, transportation, and more. For three months in Chicago they apply their coding and analytics skills, collaborate in a fast-paced atmosphere, and learn from mentors coming from industry, academia, and the Obama campaign.

Researcher Spotlight