![URBAN AND REGIONAL INNOVATION Research - URENIO](http://www.urenio.org/wp-content/uploads/images/urenio.png")
This report provided by the European Parliamentary Research Service (EPRS) provides essential information regarding issues related to collaborative economy. These issues cover a wide range starting from its definition, to the application of existing legislation, to the increasingly unclear distinction between consumers and providers, employees and self-employed, as well as the professional and non- professional provision of services.
This report aims to investigate multi-level governance and vertical policy integration in the implementation of the 2030 Agenda for Sustainable Development at all levels of government. More specifically, it focuses on exploring in depth governance structure for sustainable development, as well as multi-level governance and vertical policy integration.
Data and the City: How Can Public Data Infrastructures Change Lives in Urban Regions? report, produced by Jonathan Gray and Danny Lämmerhirt, aims to shed light on aspects referring to the ways in which data can play an essential role in tackling emerging issues from the rapid urbanization process.
This report, prepared for the Scottish Government, aims to provide insights regarding the potential role of 3D visualisations in the decision-making processes in Scotland.
This report, published by Nesta, provides an introduction to collective intelligence in government. It aims to be useful and relevant to governments of countries at very different levels of development. It highlights the ways in which governments are better understanding the world around them, drawing on ideas and expertise from their citizens, and encouraging greater scrutiny of their actions.
In this episode of Stanford Innovation Lab, Michael Bernstein, a computer scientist at Stanford University, explores how to harness crowdsourcing to tackle daunting challenges.
Big Data: A Tool for Inclusion or Exclusion? is a report published by Federal Trade Commission on January 2016, based on the information collected during a public workshop which was held on September 2014.
According to this report, four discrete phases can be identified during the transformation process of “little” data to “big” data: (1) collection; (2) compilation and consolidation; (3) analysis; and (4) use.