Data analytics and AI progress in China, plans to dominate the market by 2030

Bloomberg, 14 Aug 2017 Xu Li’s software scans more faces than maybe any on earth. He has the Chinese police to thank. Xu runs SenseTime Group Ltd., which makes artificial intelligence software that recognizes objects and faces, and counts China’s biggest smartphone brands as customers. In July, SenseTime raised $410 million, a sum it said was the largest single round for …

New strategies for transportation: Data as a Service, Mobility/Transportation as a Service, and Infrastructure as a Service

New digital technology offers new opportunities for smart and emission-free mobility that saves energy, emissions, space, time and money. Creating more efficient flow of people and goods emission-free in city and what business models and policy tools we need for large-scale deployment of intelligent mobility? The DOT must position itself as a platform for mobility innovation that supports greater mode options …

The story behind America’s unlikely bus renaissance and the man who makes transit systems better overnight

Cities don’t look like they used to. Working class neighbourhoods are turning into yuppie enclaves. Industrial zones are turning into hipster fiefdoms. Whether it’s Williamsburg, Brooklyn or Neukölln, Berlin, residents are picking new neighbourhoods for their homes and businesses — and they’re often a good clip away from “traditional” city centres. As new areas densify and city poles shift, how do cities …

How Open Data Can Revolutionize a Society in Crisis

By Beth Simone Noveck, Professor of Engineering at NYU, Visiting Professor of Law at the Yale Law School and Director of The Governance Lab, Brink News. 28 March 2017 UN High Commissioner for Refugees Filippo Grandi presents a map displaying data on the moving of refugees during a session entitled ‘Refugee Crisis: The Big Picture’ at the Congress hall on the closing day …

Encouraging and Sustaining Innovation in Government

By Beth Noveck and Stefaan Verhulst (Jan 2016) According to a 2015 survey by Pew Research Center, the public believes existing democratic institutions are failing. Just 20 percent say the federal government runs its programs well, and 59 percent say the government is in need of “very major reform”—up 22 points since 1997(1). With rates of trust in government at …

Analyzing Bike Collisions Doesn’t Tell the Whole Story – you need near misses too

By Kelsey Thomas, Next City, 9 May 2017 City planners often decide which intersections and roads get safety improvements based on analysis of crash data, but according to a new study, that method may be missing something. A look at “near-miss incidents” by Houston-based Kinder Institute for Urban Research reveals that some streets in critical need of improvement could be …

Inequality and economics: Tony Atkinson’s enduring lessons

By Andrea Brandolini, Bank of Italy2 LIS Newsletter, Issue No. 1 (March 2017) – Inequality Matters  Tony Atkinson died of multiple myeloma in January 2017. Developing an idea originated by Hugh Dalton (1920), Tony viewed income inequality as the loss of social welfare associated with an uneven distribution of incomes. This focus on social welfare allowed him to derive three important …

Preliminary Analysis Reveals 4% Of Los Angeles Buildings Use 50% Of Electricity

Originally published on CleanTechnica, December 20th, 2016 by Kyle Field  A preliminary analysis by the California Center for Sustainable Communities at UCLA and the nonprofit City Energy project revealed that half of the city’s electricity demand is consumed by just 4% of its buildings, which spurred the city council into action with a specific focus on the large, older buildings identified in the …

McKinsey estimates $2.5 Trillion in potential economic impact from continued adoption of mobility services, by 2025

From McKinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation.  Their December 2016 report compares results with 2011 and looks forward Hyperscale, real-time matching is a disruptive model that will influence transportation and logistics, automotive development, and smart cities and infrastructure. Indicators of potential for disruption: ▪ Assets are underutilized due to inefficient signaling ▪ Supply/demand mismatch ▪ Dependence on large amounts of personalized data ▪ Data is siloed or …