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 …

The feds just gave batteries and rooftop solar panels access to big-time energy markets:  Distributed energy will be able to play in wholesale energy markets. That’s a big deal.

By David Roberts@drvoxdavid@vox.com Nov 22, 2016, 9:40am EST Stronger together.(Shutterstock) Given the state of US politics, it’s safe to say that very few people are paying attention to the Federal Energy Regulatory Commission (FERC) right now — even fewer than usual, I mean. However, in its quiet and nerdy way, FERC just did something that could help drive a paradigm …

Data: How is Google using machine learning?

Don Dodge works on the Google Cloud Technology Partner team. Don is a veteran of five start-ups including Forte Software, AltaVista, Napster, Bowstreet, and Groove Networks. Prior to Google, Don was Director of Business Development for Microsoft’s Emerging Business Team. You can follow Don on Medium, on Twitter @DonDodge or on Facebook Machine Learning will impact everything we do at …

Navigating innovation in the public sector

Cross-posted from Workz.dk By Kit Lykketoft | Oct 31st, 2016 | Culture and behaviour| Customer focus and service design| Gamification| Innovation and strategy development Innovative approaches in the public sector are growing in numbers. But when is service-design the right choice and how does that differ from positive deviance? How can we use open data and what is behavioural insights? …

Smart meter deployment to reach 70 million this year, 90 million by 2020

October 27th, 2016 by Joshua S Hill cross-posted from Clean Technica The deployment of smart meters in the United States has increased substantially over the last few years, with more than half the country now boasting two-way smart meters, and projections suggesting that a total of 70 million smart meters will have been deployed by the end of the year, increasing …

Needed: shared platforms for adaptation and cost-benefit analysis

By Marie Venner, 17 Aug 2016 Zillow recently estimated that $1.9 trillion in residential property is at risk with sea level rise in the US, in the next 80 years or so — the lifetimes of our kids and grandkids and much of our own lives.  This doesn’t count the infrastructure costs or the land costs underlying that infrastructure.  Nor …

Enterprise software injected with machine learning for asset management, predicting traffic jams, redirecting deliveries and more

By Adit Singh, Cross-posted from ReCode.net Diego Schtutman / Shutterstock Born of the innovations of Big Data and possessed of a new net intelligence layer, self-learning software will have huge impacts on productivity across all departments of an enterprise.Imagine a set of smart sensors placed throughout a city that feed data to deep-learning systems. The systems then predict where traffic …