Charles Brennan provided testimony in support of HB26-1012, which would have required sellers to provide consumers with the prices of the delivered goods and the goods available at the store for price transparency and fairness. It also would have prohibited unfair or deceptive trade practices by charging unreasonably excessive prices for goods and services.
Recent articles
CCLP testifies in support of worker protections
Chris Nelson provided testimony in strong support of House Bill 26-1054, which would allow Colorado to step in to address declining workplace safety standards due to federal rollbacks and decline in enforcement, and allows for individual workers and labor unions to enforce their rights through private right of action.
CCLP testifies against HOAs requiring “proof of need” for language access
Morgan Turner provided testimony against HB26-1201 which would require owner's to provide "proof of need" prior to HOAs providing correspondence and notices in a language other than English.
CCLP testifies in support of ITINs for non-educational opportunities
Milena Tayah provided testimony in support of HB26-1143, which addresses the background check barrier for educational opportunities. It would require that an ITIN be allowed in lieu of a SSN when required for these background checks.
Creating a Culture of Data: Mile High Data Day
As part of its commitment to pioneering a data-driven culture in Colorado’s social sector, The Piton Foundation’s Data Initiative, recently convened metro Denver’s data community for the first annual Mile High Data Day. More than 120 representatives from across the region attended the daylong event, which provided an opportunity to build relationships, share best practices, learn from experts and strengthen partnerships between social change and data organizations. In addition to the Data Initiative, Mile High Day Day’s key partners included Mile High Connects, University of Colorado Denver, the Denver Regional Council of Governments, and OpenColorado.
Mile High Data Day’s goal was to create a network focused on using open data to make more informed decisions and support community change. The following are some main takeaways from the event:
Data is about people: Throughout the day, participants were seeking formal and informal opportunities to network with each other, and it became clear that a space is needed where advocates for open data can come together to make stronger connections across their areas of work. Mile High Data Day provided a glimpse into what is possible if we begin bridging all these well-intentioned efforts.
Denver has an appetite for data: Denver and Colorado are at the forefront of the open data movement, and nonprofits, government and academia all have the desire to create a stronger network focused on using data to improve communities.
Data utilization for case-making, advocacy and social change: The overall conversation was still very rooted in the effort to open data, but there were hints at how data is being incorporated into active decision-making processes. For example, the Colorado Department of Public Health and the Environment is working to gain internal approval for sharing more community-level data and simultaneously incorporating it into their grant-making activities. This approach accomplishes two goals: it empowers prospective grantees; and the agency gains confidence in the process when allocating their limited financial resources.
Capacity-building around data utilization is key to driving social change: Open data advocates and those focused on using data to support social change are somewhat disconnected. More engagement is needed at the grassroots level so that communities are better equipped to use data to defend their positions. We must provide social change organizations with the necessary technical assistance to understand the sourcing, analysis and interpretation of data. Some event participants were not familiar with margins of error, which proves that serving up data in a consumable format does not mean users will correctly apply it to their work.

