By Data-Smart City Solutions • March 6, 2020

The Wall Street Journal: New York City Is Building a Data Geek’s Dream

This article profiles how New York City’s Mayor’s Office of Data Analytics (MODA) utilizes the city’s open-data law to provide the public with more than 2,000 sets of city data. Each city agency (over ninety) has an open-data coordinator who works with MODA on what data to update and publish for use by activists, students, engineers and data scientists.


The Pew Research Center: How States Are Expanding Broadband Access 

In this report, Pew Charitable Trusts examines the state of broadband programs across the country to identify gaps impacted by the political environment, state’s resources, and geography of areas unserved by broadband. Pew then identifies use cases from states that are effectively expanding broadband in their regions.


Smart Cities World: Smart City Start-Up Challenge Launches in Ruhr Metropolis

The Ruhr Metropolis in Germany (consisting of cities Bochum, Bottrop, Gelsenkirchen and Hagen) is putting out the call for startups around the world to participate in Germany’s biggest smart city challenge for innovations solutions to their individual problems and projects. The challenges include: improving the rate of residents taking sustainable, public transportation; block-chain enabled community development; and automated reviews of construction projects for building permits.


State Tech: How Smart Water Makes Cities More Transparent

This article highlights the best use cases in Virginia, Michigan, California, and Washington, D.C. of smart water technology that exemplify how cities can reduce costs and improve sustainability.


Ed Scoop: Historical Flood Data Could Help First Responders Spot Trouble Early

Researchers at Texas A&M University have developed a new data-driven model for predicting floods with the intention for it to be used for extreme weather events like hurricanes. The new tool maps the networks of drainage channels and utilizes machine learning and historical flood data to forecast how future flooding incidents would occur.