Case Study- Data-Driven Transformation of Springfield's Police Force S.docx
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Case Study : Data-Driven Transformation of Springfield's Police Force Springfield, Virginia in the United States of America has been collecting data on the crimes that have been occurring in the city boundaries between 1998 and 2019. The data includes details on the offender, the nature of the crime, the location of the crime, and further details. The dataset contains over 23,000 instances of crimes which have occurred. Due to increasing negative media attention, there is a growing perception by the citizens of Springfield that they are no longer safe. They are starting to complain and resent the elected officials. Because next year is an election year, the Mayor, Mayor Jones, is growing increasingly concerned about the social welfare of the citizens she is responsible for. Mayor Jones has previously delegated the responsibility of the crime portfolio to her police chief, Chief Odinson. It is Chief Odinson's responsibility to run the entire police force across the areas within Springfield: Central Springfield (postal code: 22150), North Springfield (postal code: 22151), and West Springfield (postal code: 22152). Mayor Jones organised to meet with Chief Odinson to gather the information she needed to transform the city. When she met with Chief Odinson, the Chief was perplexed, he was unsure on how to gather the information the Mayor required. The Chief did know that the police officers in each precinct within each area completed reports about every case (some initiated by the victim, others by witnesses). He also knew that the data on the reports was inputted into an Excel file. Yet, he was not sure on how to extract what he needed from the data file. Recognising his uncertainty and wanting to provide the necessary information to the Mayor, Chief Odinson decided to hire your team of consultants to see how they can best leverage the data that the Chief had access to. Yet, rather than just finding the information to assist Mayor Jones, the Chief decided to take this opportunity to improve how he manages the police. He also met with Police Officer, Sergeant Steve Rogers to see if there is anything data-related that could help the Sergeant perform his duties. Sergeant Rogers informed the Chief that many of his fellow police officers of the Springfield Police Department required more information to understand the nature of the crimes in the area, so that they can be better equipped to respond. You are required to identify a data-driven approach to provide insights in the form of a digital dashboard to assist the following stakeholders: Mayor Jones - to improve societal issues surrounding crimes (focus on all suburbs overall). Chief Odinson - to manage the Springfield Police Department in Central Springfield, North Springfield, and West Springfield (compare the three suburbs). Sergeant Rogers - to be more informed of the crimes in the local areas (focus on one suburb only). 1: Identify one problem area in the data and describe how the digital dashbo.
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Student #1 I have chosen to write about the history of data anal.docx
Student #1
I have chosen to write about the history of data analysis for the Los Angeles Police Department. While I currently reside in Colorado Springs, Colorado and work as a deputy sheriff in Denver, Colorado I grew up in the greater Los Angeles area and I know that they should have a large amount of data to draw from.
Currently the Los Angeles Police Department uses COMPSTAT to compile their data. They have a unit, known as the COMPSTAT unit, whose sole job is to compile crime statistics and analyze the data (Los Angeles Police Department, 2016) COMPSTAT is short for computer statistics. COMPSTAT was developed by Police Commissioner William Bratton in 1994 for use by the New York Police Department. According to the University of Maryland by the year 2000 over a third of police agencies with over 100 officers were utilizing some sort of COMPSTAT like program (University of Maryland, 2015). In 2002 William Bratton became the Chief of Police for the Los Angeles Police Department and brought with him the concept of COMPSTAT. During the first six years of his tenure Los Angeles saw a steady decrease in the cities crime rates thanks largely in part to COMPSTAT policing.
Mean, mode and median play a large part in analyzing criminal data. The mean is the average number. An example of this for crime data analysis would be in neighborhood C there was 14 robberies committed on Monday between 1 and 3 AM, 17 robberies on Tuesday at the same time period and 9 on Wednesday during the same time period. The mean would be 13.3 robberies per night for those 3 nights. Knowing this is high for the city the data could be used to justify extra police presence in Neighborhood C. An example of the mode would be if in the same neighborhood in the same week there were 17 robberies on both Friday and Saturday, 12 on Thursday and 11 on Sunday. The mode would be 17 and it would also be a reason to add extra police presence in the neighborhood until a significant decrease was seen in the amount of robberies taking place. Finally we come to the median. This is simply line the numbers up for the week and take the number that falls in the middle. In the case of the robberies occurring in neighborhood C the number would be 14. All of this data can be combined to show watch commanders and captain’s areas where they should be focusing their officer’s time. If there is a neighborhood that has seen only one or two robberies during the week, it is definitely not in as much need of a heavy police presence as Neighborhood C is.
Student #2
Beginning in the mid-1990’s, police in New York began to run statistical analysis of the city’s crime reports, arrests and other police activity known as COMPSTAT. Law enforcement agencies since this analysis began, has implemented their own data-driven approaches to tracking and adapting to crime trends. The LAPD is both heavily armed and thoroughly computerized. The Real-Time Analysis and Critical Response Division is its central processor..
Units 4, 5, 24, 31 task 4 secondary evidence
The documents provide secondary evidence about crime rates and statistics in the London Borough of Redbridge and surrounding areas. Some key details include:
- Crime rates in Redbridge for 2016-2017 were 36,993 total, with theft and violence against the person being the most prevalent crimes.
- Crime rates have increased significantly over the past 36 years according to ONS statistics.
- The highest crimes in Redbridge based on a breakdown are anti-social behavior, violent crime, and vehicle crime.
- Crime tends to peak between mid-April to mid-May and dip between mid-December to mid-January except for burglary.
- Newspapers and tabloids provide many stories of crime incidents
Secondary evidence task 4
This document contains secondary evidence from various sources about crime rates and statistics in the London Borough of Redbridge and surrounding areas. Some of the key points made:
- Crime statistics from the Metropolitan Police show over 36,000 crimes in Redbridge in 2016-2017, with theft and violence being most prevalent.
- Crime rates have increased significantly over the past 36 years according to Office for National Statistics data.
- Redbridge crime statistics show the highest crimes are anti-social behavior, violent crime, and vehicle crime.
- Crime generally peaks between April-May and dips between December-January, though burglary peaks in winter.
- Newspapers like the Ilford Recorder and The Guardian contain
Secondary evidence
The documents provide secondary evidence about crime rates and statistics in the London Borough of Redbridge and surrounding areas. Some key details include:
- Crime rates in Redbridge for 2016-2017 were 36,993 total, with theft and violence against the person being the most prevalent crimes.
- Crime rates have increased significantly over the past 36 years according to ONS statistics.
- The highest crimes in Redbridge based on a breakdown are anti-social behavior, violent crime, and vehicle crime.
- Crime tends to peak between mid-April to mid-May and dip between mid-December to mid-January except for burglary.
- Newspapers and tabloids provide many stories of crime incidents
Units 4, 5, 24, 31 task 4 secondary evidence (3)
The documents provide secondary evidence about crime rates and statistics in the London Borough of Redbridge and greater London area. Some key details:
- Crime rates in Redbridge for 2016-2017 were 36,993 total, with theft and violence against the person being the most prevalent crimes.
- Crime rates have increased significantly over the past 36 years in the UK based on police statistics.
- The highest crime categories in Redbridge from September 2016 to August 2017 were anti-social behavior, violent crime, and vehicle crime.
- Crime tends to peak between mid-April to mid-May and dip between mid-December to mid-January in the UK generally.
- Knife crime is an increasing
Units 4, 5, 24, 31 task 4 secondary evidence (1)
The documents provide secondary evidence about crime rates and statistics in Redbridge and London. Some key details:
- Crime rates in Redbridge for 2016-2017 were 36,993, with theft and violence being the most prevalent crimes.
- Crime rates have increased significantly over the past 36 years in the UK, with the highest recorded crimes being over 6000 in 2004.
- The highest crimes in Redbridge from September 2016 to August 2017 were anti-social behavior, violent crime, and vehicle crime.
- Crime tends to peak between mid-April to mid-May and dip between mid-December to mid-January, except for burglary which peaks in winter.
- Parts of Ilford have
Secondary Evidence
We collected secondary evidence and placed our findings into a slideshow, similar to our primary evidence. The document is shown below.
October 2015 Newsletter
This newsletter from the DC Police Union provides updates on several initiatives and issues. It discusses efforts to engage with the community through a crime statistics website and helping underprivileged youth. It also outlines issues around the 97.5% no confidence vote in the police chief, including her dismantling of drug squads and misleading statements. Finally, it provides updates on arbitration proceedings regarding compensation and announces a dues increase to support the legal budget.
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Student #1 I have chosen to write about the history of data anal.docx
Student #1
I have chosen to write about the history of data analysis for the Los Angeles Police Department. While I currently reside in Colorado Springs, Colorado and work as a deputy sheriff in Denver, Colorado I grew up in the greater Los Angeles area and I know that they should have a large amount of data to draw from.
Currently the Los Angeles Police Department uses COMPSTAT to compile their data. They have a unit, known as the COMPSTAT unit, whose sole job is to compile crime statistics and analyze the data (Los Angeles Police Department, 2016) COMPSTAT is short for computer statistics. COMPSTAT was developed by Police Commissioner William Bratton in 1994 for use by the New York Police Department. According to the University of Maryland by the year 2000 over a third of police agencies with over 100 officers were utilizing some sort of COMPSTAT like program (University of Maryland, 2015). In 2002 William Bratton became the Chief of Police for the Los Angeles Police Department and brought with him the concept of COMPSTAT. During the first six years of his tenure Los Angeles saw a steady decrease in the cities crime rates thanks largely in part to COMPSTAT policing.
Mean, mode and median play a large part in analyzing criminal data. The mean is the average number. An example of this for crime data analysis would be in neighborhood C there was 14 robberies committed on Monday between 1 and 3 AM, 17 robberies on Tuesday at the same time period and 9 on Wednesday during the same time period. The mean would be 13.3 robberies per night for those 3 nights. Knowing this is high for the city the data could be used to justify extra police presence in Neighborhood C. An example of the mode would be if in the same neighborhood in the same week there were 17 robberies on both Friday and Saturday, 12 on Thursday and 11 on Sunday. The mode would be 17 and it would also be a reason to add extra police presence in the neighborhood until a significant decrease was seen in the amount of robberies taking place. Finally we come to the median. This is simply line the numbers up for the week and take the number that falls in the middle. In the case of the robberies occurring in neighborhood C the number would be 14. All of this data can be combined to show watch commanders and captain’s areas where they should be focusing their officer’s time. If there is a neighborhood that has seen only one or two robberies during the week, it is definitely not in as much need of a heavy police presence as Neighborhood C is.
Student #2
Beginning in the mid-1990’s, police in New York began to run statistical analysis of the city’s crime reports, arrests and other police activity known as COMPSTAT. Law enforcement agencies since this analysis began, has implemented their own data-driven approaches to tracking and adapting to crime trends. The LAPD is both heavily armed and thoroughly computerized. The Real-Time Analysis and Critical Response Division is its central processor..
Units 4, 5, 24, 31 task 4 secondary evidence
The documents provide secondary evidence about crime rates and statistics in the London Borough of Redbridge and surrounding areas. Some key details include:
- Crime rates in Redbridge for 2016-2017 were 36,993 total, with theft and violence against the person being the most prevalent crimes.
- Crime rates have increased significantly over the past 36 years according to ONS statistics.
- The highest crimes in Redbridge based on a breakdown are anti-social behavior, violent crime, and vehicle crime.
- Crime tends to peak between mid-April to mid-May and dip between mid-December to mid-January except for burglary.
- Newspapers and tabloids provide many stories of crime incidents
Secondary evidence task 4
This document contains secondary evidence from various sources about crime rates and statistics in the London Borough of Redbridge and surrounding areas. Some of the key points made:
- Crime statistics from the Metropolitan Police show over 36,000 crimes in Redbridge in 2016-2017, with theft and violence being most prevalent.
- Crime rates have increased significantly over the past 36 years according to Office for National Statistics data.
- Redbridge crime statistics show the highest crimes are anti-social behavior, violent crime, and vehicle crime.
- Crime generally peaks between April-May and dips between December-January, though burglary peaks in winter.
- Newspapers like the Ilford Recorder and The Guardian contain
Secondary evidence
The documents provide secondary evidence about crime rates and statistics in the London Borough of Redbridge and surrounding areas. Some key details include:
- Crime rates in Redbridge for 2016-2017 were 36,993 total, with theft and violence against the person being the most prevalent crimes.
- Crime rates have increased significantly over the past 36 years according to ONS statistics.
- The highest crimes in Redbridge based on a breakdown are anti-social behavior, violent crime, and vehicle crime.
- Crime tends to peak between mid-April to mid-May and dip between mid-December to mid-January except for burglary.
- Newspapers and tabloids provide many stories of crime incidents
Units 4, 5, 24, 31 task 4 secondary evidence (3)
The documents provide secondary evidence about crime rates and statistics in the London Borough of Redbridge and greater London area. Some key details:
- Crime rates in Redbridge for 2016-2017 were 36,993 total, with theft and violence against the person being the most prevalent crimes.
- Crime rates have increased significantly over the past 36 years in the UK based on police statistics.
- The highest crime categories in Redbridge from September 2016 to August 2017 were anti-social behavior, violent crime, and vehicle crime.
- Crime tends to peak between mid-April to mid-May and dip between mid-December to mid-January in the UK generally.
- Knife crime is an increasing
Units 4, 5, 24, 31 task 4 secondary evidence (1)
The documents provide secondary evidence about crime rates and statistics in Redbridge and London. Some key details:
- Crime rates in Redbridge for 2016-2017 were 36,993, with theft and violence being the most prevalent crimes.
- Crime rates have increased significantly over the past 36 years in the UK, with the highest recorded crimes being over 6000 in 2004.
- The highest crimes in Redbridge from September 2016 to August 2017 were anti-social behavior, violent crime, and vehicle crime.
- Crime tends to peak between mid-April to mid-May and dip between mid-December to mid-January, except for burglary which peaks in winter.
- Parts of Ilford have
Secondary Evidence
We collected secondary evidence and placed our findings into a slideshow, similar to our primary evidence. The document is shown below.
October 2015 Newsletter
This newsletter from the DC Police Union provides updates on several initiatives and issues. It discusses efforts to engage with the community through a crime statistics website and helping underprivileged youth. It also outlines issues around the 97.5% no confidence vote in the police chief, including her dismantling of drug squads and misleading statements. Finally, it provides updates on arbitration proceedings regarding compensation and announces a dues increase to support the legal budget.
The seventh stage of planned change—Initiating the Program or Po.docx
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This week you will prepare a report in Microsoft Word reviewing the implementation of your program or policy. You will then evaluate outcomes. This report is to be presented to an audience that includes members of the Center for Justice, the Mayor of Fictionland, and the Chief of Police. The report should include the following elements:
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: Compilation of previous steps, with additional detail:
A summary of the problem-solving technique employed.
A list of two potential sources contributing to the problem. Also argue why you believe these factors are responsible for the community-police problem(s) in Fictionland.
A summary of the newly created goal(s) and objective(s).
A detailed explanation of the program or policy adapted.
An action plan.
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Tools used to conduct an outcome evaluation.
Conclusion to the program or policy implementation and outcome.
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: Create measures for evaluation of the design and objectives of your program or policy for the Fictionland Police Department. Include the following points in your report:
Considering the objectives that you created in a previous assignment, create two measures to evaluate the effectiveness of your program or policy for every objective.
Include a statement as to why these measures are valid measures.
Project Scenario
Tensions between the minority community and the police are regrettable problems in the United States. One city, Fictionland, has experienced tremendous population growth and demographic changes in the past 50 years. The Fictionland Police Department has been criticized by a powerful citizen-based organization, Center for Justice, for engaging in illegal racial profiling tactics and for being generally unresponsive to complaints about police harassment and police brutality allegedly committed against members of the minority community. DetailsThe Fictionland Police Department in New Jersey was established in 1945 to deal with the community’s growing concern with traffic congestion and increasing crime rates. Fictionland’s population in 1945 was 5,000 and predominantly Caucasian. According to the latest census figures, Fictionland’s population is now 68,000 and racially diverse. Approximately 25 percent of the Fictionland population is a racial minority. The latest projections suggest that if this trend continues, at some point, Fictionland with be 51 percent white and 49 percent racial minority.The department had 14 full-time police officers on staff in 1945, and all were Caucasian. Today, the department has 60 full-time officers with only two minority officers on staff. Over the past five years, members of the Center for Justice have claimed that Fictio.
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Part I
: Compilation of previous steps, with additional detail:
A summary of the problem-solving technique employed.
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Tools used to conduct a process evaluation.
Tools used to conduct an outcome evaluation.
Conclusion to the program or policy implementation and outcome.
Part II
: Create measures for evaluation of the design and objectives of your program or policy for the Fictionland Police Department. Include the following points in your report:
Considering the objectives that you created in a previous assignment, create two measures to evaluate the effectiveness of your program or policy for every objective.
Include a statement as to why these measures are valid measures.
Project Scenario
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httpsnyti.ms2YBa4UGBecause reform won’t happen.By
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Police Brutality
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Police Department Roles And Functions
This document discusses an informal complaint filed with a police department following an adverse interaction. An informal complaint is less formal than a formal complaint. It typically involves speaking with a supervisor to express concerns. The goal is to resolve issues respectfully and improve police-community relations, rather than punish officers. The complainant explained the issue to a sergeant, who took notes and said it would be addressed internally to ensure similar issues do not occur again in the future.
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Community policing is a philosophy that promotes partnership between the police and the community. It focuses on problem-solving and addressing the root causes of crime, rather than just responding to incidents. Unlike traditional policing which is reactive, community policing proactively addresses disorder and involves the community in identifying and solving issues. It has evolved over time and relies on information sharing, communication, data analysis, and problem-solving to improve police effectiveness and community relations.
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Code Given:
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