EMA workbench responses

Smart cities are the future, and it is imperative for policy making to be more efficient and successful, which helps to save both money and time, the two most essential elements for humankind. To help achieve this, EMA Workbench will help us a lot in making the right decisions as the situations for policy making can be unpredictable and as the tool is equipped with sampling simulation, data management, and visualization helps to simulate the outcomes with the help of time classification and machine learning techniques in a robust and successful way (Janssen, 2015). The policy that I would be trying to create would be the number of taxi licenses issued as this is a problem that needs to be focused on to avoid the traffic issues in smart cities. I would go for data analytics which helps to gather the number of licenses issued, the number of applicants that are waiting for their license and the number of people that are using taxis every day. The second would be data visualization to study the data that is gathered to control the traffic, which is a significant issue in smart cities. As all of this is unpredictable and can change with time EMA Workbench will help us to use the adaptive policy with the use of its data processing and visualization features as these are needed for our policy which involves a massive amount of data gathering.