Data Reframed sunset

‍Illustration by Deep on Unsplash‍ ‍

We’ve closed up shop

1 Sepember 2026

It's official – Data Reframed [formerly LA Tech4Good] has come to an end.. We’re letting this website expire in mid-September, and keeping a quiet LinkedIn page for the moment.

  • Thanks to the hundreds of workshop participants and many more data justice advocates and partner organizations for your expertise, passion and shared collaboration. We have nothing but praise for the community and respect for your work – even more so in these times when contention over data and its outcomes is fierce in these AI times..

  • Huge thanks to our many volunteers for carrying LA Tech4Good and Data Reframed over the last six years - across website design, social media, data management and more. Extra shoutouts to our amazing workshop facilitators!

  • And special appreciation to Rachel Whaley, Eva Sachar, Cindy Lin, Yohance Barrett and Nardos Alemayehu of our Steering Committee for their leadership and commitment to data equity.

Questions? Reach out to hello@latech4good.org

Help yourself to our workshop content

We're proud to have designed a robust data equity program that hosted 16 workshop series (with over 250 participants) along with 50 short-form presentations and customized trainings since 2019. They changed the way people and organizations impact the world with the data we use.

Materials from our final (Jan 2025) Data Equity Skills Workshop are still available for your use under a Creative Commons license, with the caveat that the content would benefit from a more global perspective, references are outdated, and AI has changed the playing field.

  • The Participant Playbook is in Notion and includes the 3-session study materials and interactive exercises

  • The corresponding presenter slides are available as pdfs and Google slides

Our data principles

Data is about people

Nearly everything facet of modern life has been digitized, but ultimately data is a measure of people, individuals and community that can’t be reduced to numbers, algorithms and data.

Data is power

Mountains of data are collected and generated each day – and this impacts lives. Shouldn’t people own and control the data they generate – the data about them?

Data equity prompts accountability

Equity practices require action and accountability, encompass data privacy considerations, and require transparency while protecting anonymity.

Technological change outpaces regulation

Regulation lags far behind the rate of change in technology, so those creating data projects generally must rely on their own efforts to ensure that people are not harmed through unregulated processes.

Data equity enables informed action

The collection and analysis of data around inclusivity, bias, and inequity can be useful in counteracting these same problems, and implementing more equitable data practices support these efforts.

“Equity is both an outcome and a process.”

— Catherine D'Ignazio and Lauren F. Klein, Data Feminism