Data Reframed sunset

We’ve closed up shop

28 August 2026

Data Reframed [formerly LA Tech4Good] is formally coming to an end

We are 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 from 2019 [as LA Tech4Good] through 2025. This has changed the way people and organizations impact the world with the data we use. But… it’s time to move on. We can say it's been a good ride.

A huge thanks to the amazing volunteers who carried LA Tech4Good and Data Reframed over the last six years, and to the hundreds of workshop participants and data justice advocates for your expertise, passion and shared collaboration. Extra shoutouts to Rachel Whaley, Eva Sachar, Cindy Lin, Yohance Barrett and Nardos Alemayehu for their leadership on our Steering Committee.

Questions? Reach out to hello@latech4good.org

Help yourself to our workshop content

Materials from our final (Jan 2025) Data Equity Skills Workshop are still available for public use.

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

You may use them under a Creative Commons licenses. The content would benefit from an update with a more global perspective, references are outdated, and AI has changed the playing field. Nevertheless, it stood the test for five years.

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