Past Events:

California Water Data Consortium: Data for Lunch w/ We All Count

May 21 2021

Friday, May 21, 2021 from 12:00 PM to 1:30 PM (PDT)

Hosted By:
California Water Data Consortium

The California Water Data Consortium is a nonprofit organization that supports data-informed decision-making in California about water in the face of climate change and other pressures on water resources. We amplify efforts to improve water data infrastructure by creating a neutral organizational space to build trust and facilitate collaboration across sectors.

Event Materials:

Event Details:

The California Water Data Consortium is proud to host a presentation by Heather Krause from We All Count.

Data for Lunch Series

This event is part of the Consortium’s Data for Lunch series, which provides an opportunity to learn about innovative water data-related projects and other related topics.

Date: May 21st from 12 – 1:00 pm, with additional Q&A from 1- 1:30 pm

Presenter: Heather Krause from We All Count

Meeting Agenda

  • Welcome and introduction (10 minutes)
  • Presentation by Heather Krause (30 minutes)
  • Facilitated discussion (15 minutes)
  • Additional Q&A time (30 minutes)

Project/Session Summary

Heather will be speaking about We All Count’s Data Equity Framework. When it comes to equity in data science projects, trying to find all the ways that bias, assumptions, unfairness and prejudice can sneak in may feel overwhelming. Trying to look at a whole project and see all the equity weaknesses and issues is almost impossible. We All Count has developed: The Data Equity Framework to support equitable data decisions. Our decades of experience in data projects across sectors have shown us that data projects have a similar life cycle (pipeline, model, roadmap, etc.). We All Count harnessed this universal data project structure and built a systematic and organized way of looking at each step of a data project for equity issues. This Data Equity Framework means that you don’t have to start from scratch. You don’t have to recreate the way your team already works with data. You simply need to learn how to apply the lens of the Data Equity Framework, follow simple steps and checklists and apply practical tools. The Data Equity Framework is a systematic way of looking at data projects across 7 stages. Join this session to learn more about the 7 stages.


Heather Krause, PStat is a data scientist with over a decade of experience building tools that improve practices and systems. Heather is a statistician with years of experience working on complex data problems and producing real-world knowledge. She has a strong love of finding data, analyzing it in creative ways and using cutting edge visualization methods to visualize the results. Her emphasis is on combining strong statistical analysis with clear and meaningful communication. She is currently working on implementing tools for equity and ethics in data. As the founder of two successful data science companies, she attacks the largest questions facing societies today, working with both civic and corporate organizations to improve outcomes and lives. Her relentless pursuit of clarity and realism in these projects pushed her beyond pure analysis to mastering the entire data ecosystem including award-winning work in data sourcing, modeling, and data storytelling, each incorporating bleeding edge theory and technologies.

Her work proves that data narratives can be meaningful to any audience from a boardroom to the front page. Heather is the founder of We All Count, a project for equity in data working with teams across the globe to embed a lens of ethics into their data products from funding to data collection to statistical analysis and algorithmic accountability. Her unique set of tools and contributions have been sought across a range of clients from MasterCard and Wells Fargo to the United Nations, the Canadian Government, and the Bill and Melinda Gates Foundation. She is on the Data Advisory Board of the UNHCR.

Learn about future events by subscribing to the California Water Data Consortium’s listserve here.

Available Materials:

  • Data-for-Lunch-with-OpenET-Presentation.pdf