Kelsey Gray, Senior Evidence Analyst, attended the Predictive Analytics for Human Services and Education meeting hosted by the National Academies of Sciences, Engineering, and Medicine and the Annie E. Casey Foundation.  Here she shares her thoughts.

  1. Decision makers: Algorithms can be powerful, but people must be involved in the decision-making. It is critical for practitioners and policymakers to remain engaged in determining practice and policy.
  2. Change Management: Organizations must adapt to make decisions based on predictive analytics. For predictive analytics to have an impact, we must build organizational cultures that strengthen data-driven decision-making.
  3. Ethical Considerations: Decision makers must consider the ethical implications of leveraging algorithms to improve practice or policy.

Read the full article about strategic evidence from Project Evident