#ThisWeekInData January 7, 2022

The New York Times: Using a City's Excess Heat to Reduce Emissions

In a unique case of using data to address urban climate issues, Stockholm city officials are collaborating with local energy companies to reuse heat generated from massive data centers in the city. These heat recovery systems recycle the “waste heat streams” produced by the data centers and incorporate these streams into the city’s energy mix.

 

Government Technology: On a Mission from Dog: Staffer, Dog Map Pittsburgh Parks

Porter the dog is Pittsburgh's newest data champion, mapping the city’s outdoor spaces with his owner, an employee of the city’s Department of Performance and Innovation. GPS unit in tow, the duo responded to increased community requests for trail information in 2020 to create an open and comprehensive trail map of the city’s public greenways, parks, and trails. 

 

Nature: Harnessing Sensing Systems Towards Urban Sustainability Transformation

A new report on urban sustainability looked at four international cities to develop best practices  for infrastructure sensing systems that can help create more inclusive and sustainable cities. The authors also discuss the new types of governance, data sharing guidelines, and ethical standards required for incorporating smart infrastructure in urban environments.

 

State Scoop: Los Angeles Launches Cybersecurity App for Residents

Residents of Los Angeles can now surf the web more safely, thanks to the new LA Secure cybersecurity app available for free to all Angelenos. App users will receive alerts when they connect to potentially unsafe networks or click on unsafe links; when users are on the LA Metro busses, they will also be blocked from accessing pornographic or explicit content.  

 

World Data League: Insights Report 2021 

Cities across the world are utilizing data to achieve more sustainable and resilient cities, and this report reviews progress against the U.N. Sustainable Development goal for sustainable cities and communities, with a focus on data-informed solutions to traffic congestion, noise pollution, air quality, and public transit. 

 

Penn State University: How Understanding Neighborhoods can Help Reduce Tobacco Use

Researchers at Penn State University combined quantitative data, qualitative interviews, and neighborhood mapping to comprehensively understand disparities in local tobacco access and use. The authors hope that the multi-layered, mixed spatial methods used in this study are adapted for other public health research as this type of community engagement and spatial layering provide more holistic data. 

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