The Colorado Evaluation and Action Lab was created in 2017 under the leadership of the Governor’s Office to unlock data-informed solutions to our most pressing social problems. Working together with a broad range of government and community partners, we conduct research with rigor to obtain the best available evidence to address these challenges.
We operate under the belief that government can be most effective and efficient when all sectors—public, private, nonprofit, community, and academic—work together to develop solutions to society’s most pressing problems.
So we meet our partners where they are, work together to innovate, achieve targeted goals, and ensure that resources are used wisely.
We use the Colorado Steps to Building Evidence model to conduct research and evaluation with rigor. We want to understand the core causes of problems and build evidence to inform, activate, and sustain efforts that improve the lives of Colorado residents.
When we do this, we leverage data to inform policy and practice and set the wheels in motion to achieve and sustain change.
With a clear, shared understanding of what Evidence-Based Decision-Making (EBDM) is, the next step in creating an EBDM culture is for decision-makers, agency leadership, and staff to commit to routinely using the EBDM approach, consistent with each of their roles.
The Colorado Child Care Assistance Program (CCCAP) helps families who are working in low-wage jobs, searching for work, in school, or experiencing homelessness to find child care assistance. The aim of the stimulus-funded CCCAP Teacher Wage Increase Pilot is to provide a livable wage to early childhood teachers in CCCAP-participating programs.
The Colorado Lab provided guidance and support to CDEC in creating two new videos about Early Childhood Mental Health (ECMH) Consultation. The videos aim to grow understanding about how ECMH Consultation helps early childhood professionals and families across the state promote the mental health and healthy social-emotional development of young children.
