By using social media in governmental context, a new form of interaction between citizens and government can be established. The social media data can be used to collect useful information about citizens’ needs and opinions, as well as integrate citizens directly in the decision making process. Some governmental institutions also use their own social media accounts and post content online. 
About this tool
The Big Policy Canvas Knowledge Base is a state-of-the-art, online and dynamic repository that functions as an accumulator uniting all the knowledge produced during the project. It is structured along the three dimensions of needs, trends and assets and furthermore offers a mapping among them by defining how they are interconnected and how they influence each other.
Knowledge base data visualization
Explore the knowledge base data graph.
Improve the Knowledge Base
Are you aware of an asset that can help enrich the BPC KB? Share it with us and be named contributors to our work.
Artificial Intelligence (AI) is a possibility to improve policy and decision making and can be understood as the automation of intelligent and human-like behaviour. The most important techniques to support specific cases of indeed high complex policy making processes are decision support and optimisation techniques, game theory, data and opinion mining, agent-based simulation and visual scenario based evaluations. 
By now, the most promising application of artificial intelligence is the use of machine learning as a subfield of AI. The Encyclopaedia Britannica states that machine learning is concerned with the implementation of computer software that can learn autonomously. 
Gartner assumes that by 2020 modern BI and analytics platform components will deliver smart, governed, search- and visual-based data discovery capabilities. Natural-language generation and artificial intelligence will be a standard feature of 90% of modern BI platforms and organisations that offer users access to a curated catalogue of internal and external data will realise twice the business value from analytics investments than those that do not. Gartner outlined fifteen critical capabilities by a BI and Analytics Platform :
There are various definitions of the Internet of Things (IoT). The Internet Engineering Task Force says Internet of Things’ basic idea is to connect electronical and non-electronical objects to provide seamless communication and contextual services by them through e.g. RFID tags, sensors, actuators or mobile phone. The latter is related to the term “things”. The term “Internet” considers the TCP/IP suite and non-TCP/IP suite at the same time. 
The pressure to redesign city infrastructures is strong, since climate change and the problem of allocation are defining new requirements, which will not be met through cosmetic and maintenance repairs. In particular, energy infrastructures like water, waste or recycling are affected by this issue.
The following description draws a picture for future smart cities.
The term Open Data means that data and content can be freely used, modified and shared by anyone for any purpose. Open Data is accessible for everyone and useable without any restrictions. 
Open Government Data refers to the wide range of information that public sector bodies collect, produce, reproduce and disseminate while accomplishing their institutional tasks. 
Data literacy is about the ability to handle data. It includes competences to collect, manage, evaluate and apply data in a critical manner. The public sector struggles with the growing skills gap, since data has become a central issue in our working environment, and the ability to understand and master the huge amounts of data available to the organisation is a key challenge. Key to this is establishing a culture of data literacy, meaning employees at all levels can access and have the ability to read, work, analyse and argue with data.
This trend deals with the use of algorithms in policy and decision making. First, there is the trend of algorithmic regulation. Algorithmic regulation means that regulatory decision making is delegated to algorithms. The algorithms give the instructions of what should be done to achieve a desired outcome. 
The trend of using algorithms in governance and an increasing reliance of public decision making on algorithms is sometimes also called algocracy.