please answer this discussion question on Infotech in a Global Economy with citations and references and also required 3 replies to my peer students.  Texbook requited :Janssen, M., Wimmer, M. A., & Deljoo, A. (Eds.). (2015). Policy practice and digital science:  Integrating complex systems, social simulation and public administration in policy research (Vol. 10). Springer. (Included through library subscription)  Chapter 5 discusses decision making using system modeling. The author briefly mentions an open source software tool, EMA Workbench, that can perform EMA and ESDMA modeling. Find EMA Workbench online and go to their main website (not the GitHub download site). Then do the following: 1) Under documentation, go to the Tutorials page. 2) Read through the Simple Model (in your chosen environment), and the Mexican Flu example.  3) Decide how you could use this software to create a model to help in developing a policy for a Smart City.  To complete this assignment, you must do the following: A) Create a new thread. As indicated above, explain how you could use the EMA Workbench software to develop a model to help create a policy for a Smart City. Explain what policy you are trying to create (i.e. traffic light placement, surveillance camera coverage, taxi licenses issued, etc.), and what key features you would use in your model. Then, explain how EMA Workbench would help you. NOTE: keep your models and features simple. You don't really need more than 2 or 3 features to make your point here.  can you please provide replies to these 3 discussions from my friends.. if necessary plz add citations and references if used..1) The concept of developing smart cities requires advanced technology and developments. The EMA workbench concentrates on the communication system which is a vital framework for its success. Hence, the software models enhance the frameworks within the smart city to connect every location to simply the resident's operations within the city (Siano, Shahrour, & Vergura, 2018). Traffic is one of the crucial infrastructures which present complex issues for smart city development. People within the smart city prefer to arrive on time everywhere demanding an efficient traffic network. The majority of the smart cities and systems are based on the EMA workbench.Camera surveillance is another crucial aspect of a smart city. It is essential since the police are required to observe all the activities within a given city. Crime control must be implemented within the smart city to design a crime-free city. The cameral surveillance frameworks will be achieved successfully through carefully following the EMA workbench (Siano, Shahrour, & Vergura, 2018). The software frameworks aid in simplifying multiple complex issues related to harnessing effective camera surveillance.There are multiple advantages of EMA workbench to smart cities such as technology, education, and other fields. Also, it is helpful to formulate the latest technologies since the cities are based on technology and the preferences of the people to simplify the operations. Research is an essential field within smart cities since it aids in enhancing and upgrading of the frameworks within the infrastructures of the city (Siano, Shahrour, & Vergura, 2018). Furthermore, there will be gaps that are hard to implement that will be filled with various kinds of researches. Therefore, researchers utilizing the EMA workbench will provide various methodologies to aid in improving the smart city to greater heightsReferencesSiano, P., Shahrour, I., & Vergura, S. (2018). Introducing Smart Cities: A Transdisciplinary Journal on the Science and Technology of Smart Cities. Smart Cities, 1(1), 1-3. doi:10.3390/smartcities10100012) EMA WorkbenchEMA workbench is meant to foster a quick understanding of the possible dynamics posed due to the new flue variant. There is an expectation for the performance of rough-cut policy explorations. I will also use this model in the development and illustration of Exploratory Modeling and Analysis.  This model is usually straightforward, small and having neither unique structures nor detailed information. I would use the traffic light placement policy during the EMA work benching in the creation of a Smart City. I have chosen this policy because the road users do not like waiting at a red light especially motorists usually inch at the crosswalk. This policy ensures that the road is constructed and also designed in a manner to help the road users adhere to the traffic rules simply (Rudick, 2017). Thus, the plan has guaranteed that the signals are always on the near side such that the road users will not see them while on the junction and the drive off.Another way in which the traffic placement policy will work is through locating the signals between 40 feet and 180 feet beyond the limit line. The distance will ensure that the cars can see the sign at all points through the intersection. In this way, if a motorist overshoots the stop line, they will be in a position to know when the signal changes. There is no consideration on both pedestrians and bikes (Rudick, 2017). One of the features which I will use in the model is simplicity; formulating something easily understandable. Workbench has helped me in the analysis of my results such that I was able to come up with a solid conclusion on the policy to embrace. ReferenceRudick, R. (2017, March 23). Traffic Signal Placement: Are we Doing it Wrong? RetrievedMarch 22, 2019, from sf.streetsblog.org: https://sf.streetsblog.org/2017/03/23/traffic-sign...3) Exploratory Modeling and Analysis EMA workbench is a model that has been used to understand various conditions and making effective decisions on possible indications. It is a fact that the crucial objective of this model is to offer computation on the basis of effective decisions and dealing with uncertainties. Hence, this kind of tool is essential in eradicating the trouble of Mexican flue, and thus can also be used to develop a smart city policy. EMA can be differentiated with the utilization of models to guess the behavior of certain systems, where models are created by consolidating facts into a single package. When it is validated, this model can be utilized for assessment as a surrogate for the actual system. One of the aims of this model is the engineering and construction model, which is used to design a smart city uniquely (Milkovits, Copperman, Newman, Lemp, Rossi & Sun, 2019). This consolidated tool is an effective technique for understanding the behavior of difficult systems. Hence, it can be depicted that EMA can be beneficial when afforded data exists which can be erased by creating models. The models are created with consistency from the usage of adequate information. Developing a smart city is purely dependent on the EMA benchmark as it provides a suitable decision about how to design things and equipment correctly. EMA Workbench in Developing Smart City A model can be developed with the help of EMA benchmark software for making a policy of the smart city. A smart city comprises of an ecosystem consisting of various capability layers. Every capability has its importance. All these capabilities should be integrated and coordinated with one another to make the mission successful. The value layer is the most visible layer for the businessmen, residents, students, tourists, and visitors (Jaxa-Rozen, Kwakkel & Bloemendal, 2019). This layer can be considered as the catalog of smart city models and constructed by the stakeholders of the city. In order to stay relevant, the value creators should update its service and innovative continuously for its stakeholders. The policy for smart city facilitates this innovation through training, innovation zones, skill development programs, and ideation workshops. However, the smart city can create disruption and outcomes in the transformation of existing services and processes. The models of smart city management should combine a new ecosystem for innovators and value creators. They should support, plan, and monetize new models of business, its services as well as processes. They should also need to target their existing processes of management and infrastructure to support the services of the smart city. Finally, they can able to calculate the performance of a smart city with the new metric sets. It can be predicted that the smart city cannot appear magically in one day (Janssen, Wimmer & Deljoo, 2015). The overall sets of engagement models, financial sources, strategic rules, and partners are required to build. An EMA workbench can provide a deep idea to evaluate the various processes regarding the construction of a smart city. The smart cities should develop a new set of competencies to get and stay in the modern world.References Janssen, M., Wimmer, M. A., & Deljoo, A. (Eds.). (2015). Policy practice and digital science: Integrating complex systems, social simulation and public administration in policy research (Vol.10).Springer. Jaxa-Rozen, M., Kwakkel, J. H., & Bloemendal, M. (2019). A coupled simulation architecture for agent-based/geohydrological modelling with NetLogo and MODFLOW. Environmental modelling & software, 115, 19-37. Milkovits, M., Copperman, R., Newman, J., Lemp, J., Rossi, T., & Sun, S. (2019). Exploratory Modeling and Analysis for Transportation: An Approach and Support Tool-TMIP-EMAT. Transportation Research Record, 2673(9), 407-418.