LA Tech4Good

Teaching responsible data for a more equitable world

Generative AI for Creative Workflows

Balancing Innovation and Ethics 

This event will delve into the multifaceted implications of generative AI for artists, with a unique exploration of both its positive and negative aspects, and an understanding of this transformative technology's impact on the artistic landscape.
Read more and RSVP on Eventbrite

May 9 Los Angeles in-person event


Bring data equity courses to your students

Our customized curriculum can supplement your teaching, and benefit your students with data equity fundamentals and hands-on learning.

Read more here or email us to discuss!

Colleges & universities:

❝ Our Leading Equitable Data Practices workshops are great for your school and, most importantly, your students,❞ says Yohance Barrett, data equity facilitator.

Our community demands an immediate and permanent ceasefire in Gaza

🇵🇸 Lift your voice and take action for #CeasefireNOW 🇵🇸 Read our community statements 🇵🇸 Join a Tech for Palestine project 🇵🇸

Blog posts and guest articles

Hey, we’re on Feedspot’s Top 15 Los Angeles Tech Blogs!

Can you help fund our Consortium membership?

The membership fee for the consortium is $1,000 per year. You can help make our participation possible! Y’all know we’re scrappy and that we will be very grateful for your financial participation.

About us and our programs

Learn how to use data responsibly for a more equitable world

We invite anyone who works with data to our signature Leading Equitable Data Practices workshops, where you’ll gain practical knowledge and tools to infuse equity and ethics into your work, and become a more active participant in the data equity community.

❝ Our programs train people to think about data in its respective context. We’re not teaching you math, statistics, or technical foundations, we’re training you to think from the lens of social justice and design justice as you use data and technology as a tool to further equity and the mission of your organization.

❝ The curriculum and exercises in our workshop are meant to elucidate that data is a product of our current systems and that there are opportunities and necessity to collect and use data in a manner that is grounded in concepts of equity and ethics.❞

–Eva Sachar, our Director of Advocacy

Our mission

Our mission is to foster social change by teaching equitable and ethical data practices

We believe data can be actively employed to mitigate injustices and build a more equitable world. Data must be employed with an equity lens, as a key tool in our toolbox, as we work for racial justice, gender equality, equitable healthcare, and more.

We also advocate for professional data norms rooted in equity, ethics, and data sovereignty, and the concept of data justice, contributing to social change through technology.

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.

What people say about our work

Read more nice things on our Wall of Love here

“Equity is both an outcome and a process.”

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