Understanding the Virginia Community Policing Act and Data Reporting Requirements

The SmartForce® Team
SmartForce Technologies Inc.

Introduction

The Virginia Community Policing Act, effective from July 1, 2020, marked a significant step toward enhancing transparency and accountability in law enforcement practices across the Commonwealth. This legislation mandates comprehensive data collection on all police stops to foster a culture of integrity and community trust. The benefits of collecting, reporting, and analyzing this data extend beyond mere compliance, supporting initiatives in officer wellness, training, and community engagement.

Overview of the Virginia Community Policing Act

The Virginia Community Policing Act was established to enhance law enforcement by promoting transparency and accountability in police-community interactions. The Act mandates detailed documentation of various police encounters, aiming to ensure that all interactions are conducted ethically and effectively. It requires officers to record specific details such as the race, ethnicity, age, and gender of individuals they stop, as well as the reasons for and outcomes of these stops, thereby supporting a culture of integrity and fairness in policing.

Data Collection Requirements

Under the Act, law enforcement officers must collect data for every motor vehicle stop, investigatory detention, and stop-and-frisk encounter based on reasonable suspicion. This data must include:

  • Demographic Information: Perceived Race, ethnicity, age, and gender of the person stopped.
  • Incident Details: Date, location, reason for the stop, and whether any searches were conducted.
  • Outcomes: Whether the stop resulted in a warning, citation, or arrest, and details of any charges or warnings issued.

Illustrative Stop Scenarios for Data Collection

To provide clear examples of when and how stop data should be collected under the Virginia Community Policing Act, here are some scenarios:

Scenario 1 – Traffic Stop for Violation: Officer Jones spots a vehicle exceeding the speed limit in a residential area. Adhering to traffic enforcement duties, the officer initiates a stop. Upon interaction with the driver, the officer decides to issue a warning for speeding, reminding the driver of the importance of adhering to posted speed limits for community safety. No further suspicion or investigation is warranted, and the driver is allowed to depart after the warning is documented. Despite its straightforward nature, this stop must be reported as it’s a motor vehicle stop that falls under the category of investigative detention based on the initial traffic violation.

Scenario 2 – Equipment Violation Stop: Officer Smith notices a car with a broken tail light during a routine patrol. Upon stopping the vehicle for the equipment violation, the officer observes signs of drug possession in plain view within the car, justifying a vehicle search. Officer Smith conducts a lawful search based on the plain view doctrine. Regardless of the outcome, this stop is reportable.

Scenario 3 – Traffic Stop for Violation: Officer Rivera is on routine patrol when she notices a vehicle that does not stop at a posted stop sign at an intersection. She initiates a stop and informs the driver of the reason for the detention. After verifying the driver’s license and registration, Officer Rivera issues a traffic citation for the stop sign violation.

Scenario 4 – Stop-and-Frisk on Foot: Officer Lee is on routine patrol in a high-crime area experiencing vehicle burglaries. He observes an individual checking vehicle door handles. The individual has a bulge in his clothing suggestive of a concealed weapon. Based on reasonable suspicion of burglary, Officer Lee stops the individual for questioning and conducts a frisk.

Scenario 5 – Checkpoint Detention: Officer Garcia engages with a driver who shows signs of impairment at a DUI checkpoint. The driver is subjected to further investigation since the checkpoint is non-discretionary, but the officer has reasonable suspicion of unlawful activity (driving under the influence).

Scenario 6—Terry Stop: At night, Officer Patel observes someone walking back and forth in front of a closed pawn shop, looking inside the window, and trying the door. Based on reasonable suspicion of potential burglary, the officer detains the individual to investigate further.

Scenario 7 – Passenger Detention: During a traffic stop for speeding, Officer Kim notices the passenger attempting to hide an object under the seat. The officer detains the passenger, who is now a specific subject of investigative detention, to inquire about the object and ensure officer safety.

Scenario 8 – Search Warrant Execution: Sergeant Robinson leads a team executing a search warrant at a residence where illegal weapons are suspected to be stored. The occupants are detained for the duration of the search to ensure the safety of the officers and to prevent any potential evidence destruction.

Scenario 9 – Traffic Stop Involving a Suspected Criminal Offense: Officer Martinez pulls over a driver for not using turn signals. While interacting with the driver, the officer observes several power toolboxes with retail anti-theft devices and becomes suspicious of trafficking stolen goods. The stop turns into an investigatory detention as the officer inquires about the contents.

Scenario 10 – Investigative Detention at a Perimeter Checkpoint: During a perimeter checkpoint established after a reported escape from a nearby detention facility, Officer Chang stops a pedestrian who matches the description of the escapee. Although the stop is part of the checkpoint protocol, the specific suspicion of this individual escalates it to an investigative detention.

Analyzing and Utilizing Data

The Virginia Community Policing Act mandates that law enforcement agencies collect and report stop data. However, this data is collected and reported for more than compliance purposes. It provides valuable insights that can aid in continuous improvement and help make strategic decisions within police departments. By leveraging this data, police departments can enhance their operations and strengthen their relationships with the community.

  • Proactive Operational Oversight: Utilize analytics to refine operational decisions and optimize officer deployment. Stop data insights ensure that policing is more effective, with every decision supported by robust data analysis, enhancing the responsiveness and adaptability of law enforcement strategies.
  • Empowerment Through Data: Provide officers access to personal performance metrics related to police-community interactions. This level of transparency promotes individual accountability and professional development. It aligns officer self-assessments with supervisory feedback, establishing clear and consistent performance standards that contribute to overall professional growth within the agency.
  • Strategic Resource Allocation: Employ analytics to allocate resources more efficiently. By analyzing data trends, your agency can ensure that resources are deployed strategically to areas most needed, maximizing operational efficiency and effectiveness in community policing.
  • Enhanced Training and Wellness Programs: Analyze detailed data to pinpoint specific training and wellness needs. This targeted approach allows departments to develop programs that directly respond to the identified needs, enhancing officer skills and well-being. Such programs not only improve individual officer performance but also contribute to the department’s overall health.
  • Accountability and Transparency: Maintain high accountability standards by making comprehensive data readily accessible. Transparent data sharing with the community and public officials builds trust and fosters a mutual understanding of policing activities and objectives, ensuring that all stakeholders are informed and engaged.
  • Community Alignment and Engagement: Law enforcement agencies can better align their activities with community expectations by making insightful data available to the public. This openness encourages dialogue and collaboration, fostering a relationship of trust and cooperation that enhances the effectiveness of community policing initiatives.

By embracing these strategies, law enforcement agencies can use the data collected to not only meet the requirements of the Virginia Community Policing Act but also to drive meaningful improvements in their interactions and relationships with the community.

Conclusion

The Virginia Community Policing Act is a pivotal legislation that leverages data to bridge the gap between law enforcement and the community. By adhering to its requirements, police departments can enhance their operational transparency and accountability, thus building a foundation of trust and cooperation with the communities they serve.

Call to Action

We encourage all stakeholders, including law enforcement leaders, municipal leaders, and community members, to engage actively with the Act’s provisions. Participate in training sessions, utilize the state’s resources, and contribute to making community policing more effective while maintaining accountability and transparency. Your involvement is crucial in shaping the future of law enforcement in the Commonwealth of Virginia.

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Beyond Compliance: Harnessing Stop-and-Contact Data for Enhanced Policing in Colorado

The SmartForce® Team
SmartForce Technologies Inc.

Introduction

Since enacting the Law Enforcement Integrity Act, starting with Senate Bill 20-217, signed into law in June 2020, Colorado law enforcement agencies have been required to collect and report comprehensive stop and contact data. This legislation, strengthened by subsequent bills, has mandated a wide range of data points, including stops, contacts, use of force, and more, to be publicly reported. Now that the statute has been in full effect for over a year and the initial implementation challenges navigated, it is an ideal time for agencies to shift their focus from mere compliance to using this data to improve their operations and community engagement substantially.

This next phase of evolution involves meeting the established requirements and using the accumulated data to significantly enhance the effectiveness, transparency, and community alignment of law enforcement efforts. By going beyond the basics of compliance, Colorado law enforcement can lead the way in innovative, data-driven policing that prioritizes safety and community trust.

Proactive Operational Oversight

Data analytics on stop and contact reports can transform raw data into practical insights. Law enforcement agencies can make informed decisions about their patrol operations by scrutinizing patterns and trends. For instance, if the data reveals an increase in rates of police-community interactions at specific times and locations, agencies can strategically optimize officer deployment to these hotspots. This ensures that resources are allocated effectively and enhances responsiveness, elevating proactive policing. Overall, this approach helps to fine-tune decisions and ensure that resources are allocated where and when they are most needed.

Empowerment Through Data

Offering officers access to their performance metrics can help facilitate professional growth and accountability. This transparency enables officers to assess and align their performance with the agency’s objectives, community expectations, and career goals. For instance, if officers observe a recurring pattern of specific proactive stops, they may seek additional training or guidance, proactively addressing areas of improvement for career development.

Strategic Resource Allocation

Data-driven insights play a crucial role for agencies in allocating resources with greater accuracy. By deploying personnel and equipment to the most critical areas, this strategic approach maximizes operational efficiency and fosters a proactive approach to community policing. For instance, analyzing patterns of police-community interactions can help agencies identify areas where proactive policing and community engagement are needed. By allocating more resources like additional patrols, community policing units, or crime prevention programs to these identified areas, public safety can be significantly enhanced. This targeted approach addresses current issues and can help prevent future incidents, reinforcing overall security and trust within the community.

Enhanced Training and Wellness Programs

Utilizing detailed data analytics that analyze police-community interactions can help identify areas where officers may require additional training or support, especially in high-stress roles. By creating customized training programs, specific needs can be addressed, skills can be improved, and officer wellness can be enhanced. This proactive approach not only improves individual officer performance but also enhances the department’s overall health.

Accountability and Transparency

Providing the public with access to comprehensive data is an effective way to ensure accountability and transparency. By sharing data on stops, outcomes, and use of force, law enforcement agencies can foster trust and mutual understanding. This openness helps demystify law enforcement activities and encourages community feedback, which is crucial in refining policing strategies to maintain public safety.

Community Alignment and Engagement

Using stop-and-contact data to align law enforcement activities with the community’s expectations and needs can lead to more meaningful and productive relationships. By openly sharing data and insights, conversations and collaborations can be encouraged, which can help establish a foundation of trust and cooperation essential for effective community policing. This alignment also ensures that law enforcement strategies comply with statutory requirements while aligning with community values and needs.

Conclusion

Colorado’s law enforcement agencies have a unique opportunity to transform policing practices beyond legislative compliance. By proactively utilizing stop-and-contact data, agencies can enhance operational oversight, empower officers, allocate resources strategically, and improve training and wellness programs. The path towards enhanced accountability and community-aligned policing fulfills legal mandates and profoundly benefits public safety and community relations.

Law enforcement leaders are encouraged to embrace these strategies to not only meet legal requirements but also seize the opportunity to significantly enhance the efficacy and perception of law enforcement in Colorado.

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A Blueprint for Communication and Collaboration in Policing: Port St. Lucie’s Journey with SmartForce Ops Discussions

The SmartForce® Team
SmartForce Technologies Inc.

Introduction:

Port St. Lucie is a vibrant Florida city boasting of rapid economic growth, cultural richness, and a firm commitment to public safety. It is the financial hub of the Treasure Coast and the sixth-largest city in Florida, with a population of about 260,000 residents. The Port St. Lucie Police Department (PSLPD), led by Police Chief Richard R. Del Toro Jr., is at the forefront of ensuring public safety in the community. The department has adopted stratified policing, a proactive and data-driven crime reduction approach emphasizing transparency, accountability, and community involvement.

Stratified Policing: A Model of Excellence

The PSLPD pioneered the stratified policing model in the late 1990s, becoming a cornerstone of modern law enforcement strategies. This model is based on problem-oriented policing and prioritizes proactive measures and comprehensive data to tackle crime efficiently. The model has been adopted nationally and internationally, shaping the future of policing. Dr. Roberto Santos and Dr.Rachel Santos detail this model in their foundational text “Stratified Policing: An Organizational Model for Proactive Crime Reduction and Accountability.”

SmartForce Ops Discussions: A Tool for Communication and Collaboration

The PSLPD integrated the SmartForce® Ops Discussions app into their daily workflow to optimize their operations. This tool centralizes all critical information, from incident details to overarching crime trends and specific policing projects. The app eliminates the chaos of disorganized email threads and outdated bulletin boards.

With Operations Discussions, teams across crime analysis, patrol, and specialty units can effortlessly share bulletins, links, photos, and videos, all within a user-friendly application. This streamlining of resources has helped to significantly enhance collaboration and how information is shared, allowing officers to dedicate more time to the communities they serve.

Impact and Efficiency

Since implementing SmartForce® Ops Discussions in 2014, the PSLPD has reaped tangible benefits, especially in how Stratified Policing is administered at their agency. The enhanced communication facilitated by the app goes beyond the confines of traditional formats like email, fostering a collaborative environment that is both dynamic and secure.

The app’s robust tracking capabilities offer a comprehensive view of officer activity, from time spent on specific projects to the outcomes of those initiatives, such as arrests, contacts, and citations. These success metrics reflect the department’s dedication to accountability and transparency.

“Despite a 41.1% population surge in the last decade, Port St. Lucie has reduced its crime rate by 45.7%. Our effective policing strategies and integration of SmartForce® Ops Discussions have played a vital role in this achievement, making us one of the safest large cities in the nation.” 

PSLPD Chief of Police Robert R. Del Toro, Jr.

Conclusion: A Vision for the Future

The PSLPD’s successful integration of SmartForce® Ops Discussions underscores the transformative power of technology in enhancing the effectiveness of law enforcement. The department’s journey is not just about adaptation but also innovation. The PSLPD’s story can serve as a model for other departments to adopt similar tools that can foster improved communication, operations, community relations, and public safety.

Learn more about how SmartForce® can help your agency improve internal communication and collaboration.

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Utilizing KPIs to Measure the Effectiveness of Stop-and-Contact Data Policies in Law Enforcement

The SmartForce® Team
SmartForce Technologies Inc.

Law enforcement agencies continuously seek ways to improve their practices and strengthen trust with the community. One innovative approach is to apply the concept of Key Performance Indicators (KPIs) to measure the effectiveness of stop-and-contact data policies. While KPIs are widely used in business to monitor performance, they have yet to be traditionally utilized in law enforcement. This blog will discuss how law enforcement agencies can leverage KPIs to evaluate their stop-and-contact policies and ultimately enhance their overall performance.

Understanding KPIs

A Key Performance Indicator (KPI) is a measurable value used to evaluate how effectively an organization is achieving its key objectives. KPIs are often used in various industries, including marketing, finance, and operations, to help organizations identify strengths, weaknesses, and areas for improvement. By adapting KPIs to law enforcement settings, agencies can effectively measure their performance and make data-driven decisions to optimize stop-and-contact policies.

Implementing KPIs in Law Enforcement

Below are ten KPIs that law enforcement agencies can use to assess the effectiveness of their stop-and-contact policies and identify areas for improvement:

Number of stops and contacts: Monitor the overall number of stops and contacts made by officers to assess the frequency and effectiveness of these interactions.

Demographic breakdown of stops and contacts: Analyze the demographic data of individuals stopped or contacted to identify potential disparities or biases in police practices.

Reasonable suspicion/probable cause accuracy: Measure the percentage of stops and contacts based on reasonable suspicion or probable cause and resulted in actionable outcomes (e.g., arrests, citations, or searches). This can help evaluate the accuracy of officers’ judgments in initiating stops and contacts.

Officer compliance rate: Track the percentage of stops and contacts conducted in accordance with department policy and guidelines, reflecting officer adherence to established protocols.

Use of force incidents during stops and contacts: Monitor the number and proportion of stops and contacts that involve the use of force to ensure that force is being used appropriately and within department guidelines.

De-escalation techniques and outcomes: Assess the frequency and effectiveness of de-escalation techniques used during stops and contacts, their impact on reducing conflict, and the need for force.

Community satisfaction and trust: Measure community satisfaction with police interactions and overall trust in the police department through surveys, feedback forums, and other engagement initiatives.

Officer training completion rates: Monitor the percentage of officers who have completed the required training on the stop-and-contact policy, as well as any additional training on legal and ethical principles, cultural competency, and effective communication skills.

Complaints and misconduct incidents: Track the number of complaints and misconduct incidents related to stops and contacts in these cases to gauge accountability and transparency within the department.

Collaborative partnerships: Measure the number of partnerships with external organizations, such as social service agencies and community groups, to assess the extent of collaboration in addressing the root causes of crime and developing holistic solutions.

These KPIs can provide valuable insights into various aspects of police performance, from officer adherence to policy guidelines to the impact of stops and contacts on community trust. By regularly monitoring and analyzing these indicators, law enforcement agencies can support the continuous refinement of their policies and ensure alignment with 21st-century policing principles.

Adopting KPIs in law enforcement settings represents a significant opportunity for agencies to enhance their stop-and-contact policies and strengthen community relations. By utilizing these performance indicators, police command staff can make data-driven decisions to improve practices, increase transparency, and foster trust with the public. As law enforcement agencies evolve and adapt to the changing landscape, incorporating KPIs into performance management will be essential in advancing 21st-century policing principles.

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How CitizenContact Empowers Law Enforcement Agencies to Make Informed Decisions

The SmartForce® Team
SmartForce Technologies Inc.

Harness the Power of Stop and Contact Data to Drive Strategic Decision-Making for Law Enforcement Executives

For Police Chiefs, Sheriffs, and Command Staff, making informed decisions about officer allocation, resource deployment, and policing strategies is crucial to the success of your department. One essential tool that can help you make data-driven decisions is using stop and contact data effectively. This blog will explore how CitizenContact can empower your law enforcement agency to make informed decisions that enhance community policing and improve public safety.

CitizenContact: A Game-Changer for Law Enforcement Decision-Making

CitizenContact is a powerful tool designed specifically for law enforcement executives like you. By harnessing the power of stop and contact data, CitizenContact provides insights that can help you make better-informed decisions about officer allocation, resource deployment, and policing strategies. Here’s how CitizenContact empowers law enforcement agencies to make informed decisions:

  1. Identifying Hot Spots and Problem Locations: CitizenContact enables you to analyze stop and contact data to pinpoint areas with higher police-public interactions. Combined with crime data and calls for service, this information helps you allocate resources and officers more strategically, focusing on areas with the most significant needs.
  2. Informing Problem-Oriented Policing: With CitizenContact, you can dive deeper into the reasons for stops, outcomes of interactions, and demographics of the individuals involved, gaining insights into the underlying problems contributing to crime and disorder. This information helps you develop problem-oriented policing strategies to address these issues.
  3. Evaluating the Effectiveness of Policing Strategies: CitizenContact allows you to monitor changes in the frequency, nature, and outcomes of police-public interactions, helping you assess the effectiveness of your department’s policing strategies. This information enables you to adjust strategies and resource allocation as needed.
  4. Enhancing Community Engagement and Trust: Regularly collecting and analyzing stop and contact data with CitizenContact can improve transparency and accountability within your law enforcement agency. Sharing this information with the public and engaging in open dialogue about police-public interactions helps build trust and fosters productive partnerships with community members and organizations.
  5. Addressing Disparities and Biases: CitizenContact helps you identify and address potential racial, ethnic, or other biases in your department’s interactions with the public. By analyzing this data and taking corrective actions, you can work to ensure that your policing practices are fair and equitable for all community members.
  6. Influencing Training and Professional Development: CitizenContact enables you to identify areas where officers may require additional training or support. This information can inform the development of training programs and professional development opportunities, ultimately leading to more effective and responsive policing.

Unlock the Full Potential of Stop and Contact Data with CitizenContact

Integrating CitizenContact into your law enforcement agency’s decision-making processes allows you to leverage stop and contact data to make informed decisions that improve officer allocation, resource deployment, and policing strategies.

Don’t miss the opportunity to revolutionize your community policing efforts and enhance public safety. Click the link below to schedule a free demo and discover how CitizenContact can empower your law enforcement agency to make informed decisions while staying at the forefront of modern policing practices.

Request a demo of CitizenContact today!

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CitizenContact v1.6

The SmartForce® Team
SmartForce Technologies Inc.

As the Colorado DCJ prepares to release final contact and use of force reporting data requirements, the team at CitizenContact by SmartForce® has been working on the latest release.

CitizenContact v1.6 has a couple of significant improvements that will save Officers time when reporting a contact. The notable improvements are:

Auto Complete List Choices

Auto complete allows the user to begin typing the list choice they are looking for (eg. Assault). Auto complete searches by content, so as the user starts to type “Assault”, CitizenContact will identify all choices in the list that match the spelling, starting at the first three letters the user starts typing. List options that allow multi-select will still be allowed using autocomplete in v1.6.

People Picker to choose officers involved in incidents and auto-population of Officer information

When adding an Officer to a use of force incident, start typing the name of the Officer. After the first 3 letters of the name are typed, a people picker will appear with the closest matches based on the first 3 letters that were typed. The People Picker only searches by name, not by email.

As the user/Officer continues to type the name of the officer being added to the incident, the name match in the People Picker will narrow the names to choose from.

Once the user picks the Officer from the People Picker, the name, POST number, race and ethnicity, gender, age, height, weight, years of service, and full or part-time employee indicators are auto-populated using the data from the Officer’s user profile in CitizenContact.

Thank you for everything you do to ensure the safety of your community.

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