data-driven sentencing reforms

Data-driven sentencing reforms use detailed information and analysis to guide criminal justice decisions. By examining patterns like recidivism rates, sentencing outcomes, and offender profiles, policymakers aim to create fairer, more effective sentences. This approach reduces reliance on intuition or bias, ensuring decisions are based on evidence that can improve public safety while promoting justice. Ultimately, data-driven reforms seek to balance penal measures with actual outcomes, leading to more consistent and equitable sentencing practices.