Mission Statement: By harnessing the capabilities of data science, we strengthen and enhance the initiatives of police, fire, and EMS services, fostering safer environments for all. Through meticulous data analysis and innovative research, we lead in pioneering advanced crime prevention methodologies and optimizing emergency response systems. With steadfast commitment to education, training, diversity, equality, and broad community engagement, we ensure our insights inform policies that resonate with every community, irrespective of individual backgrounds, race, religion, orientation, identity, or socio-economic position. Together, we advocate for a future deeply rooted in safety, equity, and justice in every dimension of public safety.


What We Do

At the intersection of technology and public safety, we stand as a notable entity that is neither a small business nor a for-profit institution. Harnessing the transformative power of data science, we aim to amplify the efficacy of police, fire, and EMS services. Our depth in advanced data analysis and research methodologies empowers us to conceive innovative crime prevention strategies and refine emergency response mechanisms. Recognizing the value of education, we offer comprehensive training programs that are not only accredited by MPCTC but are also free of charge. This is a testament to our unwavering commitment to serve the public safety sector. Engaging deeply with diverse communities, our strategies and insights are crafted to be universally applicable, ensuring safety and equity for all. Our holistic approach goes beyond metrics and algorithms; we are dedicated to building a safer, more inclusive community environment.

What is Criminal Justice Data Science?

Criminal Justice Data Science is an emerging interdisciplinary field that combines the logic of science, the power of math, the skill of programming, and the talent of data analysis with domain knowledge in criminal justice systems. It aims to extract valuable insights from vast and complex datasets, including crime statistics, offender information, and court records, to inform policy decisions and improve the fairness and effectiveness of the criminal justice system.

To excel in criminal justice data science, professionals require a diverse skill set that encompasses statistical analysis, data mining, machine learning, and data visualization. Formal education in relevant disciplines such as computer science, data science, sociology, statistics, and criminology, coupled with an understanding of legal and ethical considerations, is of critical importance. Ensuring fairness, ethics, transparency, and the protection of civil liberties and inclusion are core principles that must be upheld throughout the criminal justice data science process.

A key aspect of criminal justice data science is leveraging data to identify patterns and trends in criminal behavior. By examining large datasets, data scientists can uncover insights that may lead to more effective crime prevention strategies, appropriate and legal interventions, and improved allocation of limited resources. It is essential to approach this process with caution and critical thinking, as biases and potential unintended consequences must be mitigated. Regular evaluation and scrutiny of algorithms and methodologies are necessary to identify and safeguard against the risk of perpetuating existing inequalities or reinforcing discriminatory practices.

Transparency and accountability are vital in the application of criminal justice data science. The decisions and actions taken based on data analysis must be open to scrutiny and subject to review. Clear communication of findings, methodologies, and limitations is crucial to ensure trust and promote understanding among policymakers, criminal justice professionals, and the public. Emphasizing fairness, justice, and the protection of civil liberties within the framework of criminal justice data science is imperative for fostering a system that works for the betterment of society as a whole.

Criminal justice data science has the potential to revolutionize the way we approach crime, policy, and decision-making. By combining scientific methodologies, mathematical techniques, programming skills, and domain knowledge, data scientists can extract valuable insights to promote fairness, effectiveness, and inclusion within the criminal justice system. However, ethical considerations, transparency, and critical evaluation of algorithms and practices are paramount to ensure the responsible and just application of data science in the pursuit of a safer and more equitable society.

The Instructors