Open Data Nation (ODN) along with Microsoft, conducted ground-setting, comprehensive research to support Vision Zero municipalities and save lives. Specifically, they aimed to reveal common challenges, identify best practices, and expose opportunities to use data to inform decision making and prepare for autonomous vehicles. From this research, ODN defined a novel typology, the “Smart City Evolution,” which characterizes municipalities into four stages — initiative, descriptive, active, and adaptive — as they transform from developing Vision Zero action plans to a position of data and technological sophistication.
The Economist Intelligence Unit (EIU) published its Global Liveability Report 2017. For the seventh consecutive year, Melbourne in Australia is the most liveable urban centre of the 140 cities surveyed, closely followed by the Austrian capital, Vienna. In fact, only 0.1 percentage points separate the top two cities, and just 0.2 and 0.3 percentage points separate Canada’s Vancouver and Toronto (ranked 3rd and 4th, respectively), from Melbourne. Another Canadian city, Calgary, shares joint fifth place with Adelaide in Australia.
Across the globe, government offices are testing applications of Artificial intelligence (AI). The prevailing citizen services use cases relate to citizen inquiries and information. This paper, from Harvard Ash Center for Democratic Governance and Innovation, explores the various types of Artificial intelligence applications, and current and future uses of AI in government delivery of citizen services, with a focus on citizen inquiries and information. It also offers strategies for governments as they consider implementing AI.
Switzerland, Sweden, the Netherlands, the USA and the UK are the world’s most- innovative countries, while a group of nations including India, Kenya, and Viet Nam are outperforming their development- level peers, according to the Global Innovation Index 2017 coauthored by Cornell University, INSEAD and the World Intellectual Property Organization (WIPO). The Global Innovation Index provides detailed metrics about the innovation performance of 127 countries and economies around the world. Its 81 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication.
Automated networks are essential for smart cities. A key enabler is the use of Artificial Intelligence techniques and to drive network automation. In this panel that was held in OpenStack summit 2017, Machine Learning and Artificial Intelligence experts explore architectures and techniques needed to automate smart city networks.
The new ISO/IEC 30182:2017 “Smart city concept model — Guidance for establishing a model for data interoperability” describes, and gives guidance on, a smart city concept model (SCCM) that can provide the basis of interoperability between component systems of a smart city, by aligning the ontologies in use across different sectors. In addition, ISO/IEC 30182 defines the relationships between them, such as organization’s resources, or an event at a place.
Crowdsourcing has proliferated across disciplines and professional fields. Implementers in the public sector face practical challenges, however, in the execution of crowdsourcing. This paper by Helen K. Liu, an assistant professor in the Department of Politics and Public Administration at the University of Hong Kong, synthesizes prior crowdsourcing research and practices from a variety of disciplines and focuses to identify lessons for meeting the practical challenges of crowdsourcing in the public sector.