Chapter 17 introduced some challenges to policy making in developing countries. If you were an analyst working for the St. Petersburg Informational and Analytical Center, explain how you would use data available to you to prepare a report for the Governor for the State Program “Combating Proliferation of Drugs.” Briefly explain what you would include in your report to detail the problem, and what the forecast results would be for each of several responses to the problem. (You do not have to use actual data from a real model for this discussion.) The idea is to focus on how models can use real data to create forecasts.
To complete this assignment, you must do the following:
A) Create a new thread. As indicated above, assume you are an analyst working for the St. Petersburg Informational and Analytical Center. Explain how you would use data available to you to prepare a report for the Governor for the State Program “Combating Proliferation of Drugs.” Briefly explain what you would include in your report to detail the problem, and what the forecast results would be for each of several responses to the problem. (You do not have to use actual data from a real model for this discussion.) The idea is to focus on how models can use real data to create forecasts.
B) Select AT LEAST 3 other students’ threads and post substantive comments on those threads, evaluating the pros and cons of that student’s recommendations. Your comments should extend the conversation started with the thread.
hi awesome.. can you please reply to these 3 discussions from my peers1) In order to report effectively to the “Governor” on combating proliferation of drugs, I would begin with determining effective methods of data collection that are both objective and do not lend themselves to erroneous reporting. As noted in the text, one downside of the SAS Administration system was “Regions may submit any figures that are of benefit to them, and everyone will be sure, that’s true (Janssen, & Wimmer, 2015, p. 388).” To correct this, subjective data will be thrown out and big data sources shall be used. These sources include various indicators from economic, supply chain, judicial, law enforcement, education and IOT sensors. Examples of data to be used would be actual incarceration rates as reported through official channels. The increases as a whole and not left to subjective categorization will lead to more accurate data that can be verified against other sources of data to ensure the trends show correlation between these new datapoints. In addition, education outcomes can be used to show emerging trends in pass/fail rates of students which can be assumed, yet later verified, to line up with increased drug usage. Lastly, economic data can show production output increases or decreases, changes in buying habits and income of individuals, and big data analysis of what of these may correlate to drug usage. Each of these data sources will be rolled up into reports by region with high-level indicators showing future trend analysis toward more or less drug usage. Forecasting through the use of statistical tools and the help of big data can effectively forecast when drug use may be curtailing or increasing. An example of this use in the US is Target’s ability to assume pregnancy based on a change in buying choices as simple as switching to unscented lotions and buying various dietary supplements (Hill, 2012). Once a variety of data is found and able to be forecasted properly like in Target’s example where simple, yet objective datapoints are turned into actionable responses, then a meaningful report can be produced for the governor showing trends toward or away from regional drug use and trafficking increases.Reference:Hill, K. (2012, February 16). https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/#b82181566686. Retrieved February 20, 2020, from How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did. (2012, February 16). Retrieved February 20, 2020, from https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/#b82181566686Janssen, M., Wimmer, M. A., & Deljoo, A. (2015). Policy practice and digital science: integrating complex systems, social simulation and public administration in policy research. Cham: Springer.2) Combating Proliferation of Drugs The registered number of people who take drugs is fifty times less. Thus this shows there is high latency in the issue. There is a need to obtain an accurate number of drug users as possible, but the challenge is that crime-related cases are not reported as they occur (Reddick, 2012). In the report, I would include the actual drug users and ways in which the drugs are being transpired from place to the other. The problem of drug is affecting almost every persons and results in deterioration of the health care education sector among others. The available data reveals the budgeted amount for drug-fighting is much less than what can actually combat the action. This is a big challenge as the personnel responsible for controlling are way short of equipment and proper training if the war of fighting drug will succeed then they have to be adequately budgeted. The available data shows there is a shortage of people who take care of drug addict and related problems. The government should come up with a strategy to recruit people who will nature those already and those who haven’t started taking the drug. There is a chance that when the government stop only focusing on the reported case and conducts an in-depth survey to ensure that they have an accurate data they stand a position to win the way on the drug trafficking. Through training who can take care adequately to the number of affected people within Proliferation, the government will be able to be sure that those who leave the vice are taken care of. Having the correct data will help the Proliferation administration to deploy enough state machinery to carry out the war against illicit selling of these drugs.ReferencesReddick, C. G. (2012). Public administration and information technology. Burlington, MA: Jones & Bartlett Learning.3) Drug traffic is significant issue in St Petersburg, challenges in policy making in developing countries Educational and analytical exercises, just as estimated for the procedures of financial improvement, ought to be an essential segment of all stages of the congressional team. Innovation authorized government promises to convey better administrations and subsequently encourage better lives for residents. Notwithstanding, such e-government can’t actualize without trust among government and residents and between government divisions. Concerns over data security and protection have become a cross-issue for governments and disrupt the general flow of that trust. The quest for serious refusal has created an equal economy run by criminal systems. Both these systems, which resort to savagery to secure their business sectors, and the police and here and there military or paramilitary powers that seek after them add to viciousness and weakness in networks influenced by travel and deals. The emotional increment in murders since the administration chose to utilize military powers against drug dealers has been extraordinary to the point that it diminished the future in the nation. Research on drug and drug strategy has experienced the absence of an enhanced financing base and suspicions about drugs use and drug pathologies concerning the predominant funder, the US government. When serious approach conversations are opening up far and wide, there is a dire to bring the best of non-ideologically determined wellbeing science, sociology, and arrangement examination to the investigation of drug and the potential for strategy change. Reducing the damage of numerous sorts of human conduct is vital to open arrangements in the areas of traffic wellbeing, tobacco and liquor guideline, sanitation, security in sports and amusement, and numerous different zones of human life. Yet, expressly trying to diminish related damages through approach and programs and to offset restriction with hurt decrease is routinely opposed in drug control.