Differential Privacy: What Connecticut Data Users Should Watch

If you use the American Community Survey (ACS) to write a grant, report to a funder or your stakeholders, or conduct planning, there are changes coming that may impact the availability of the data you have grown accustomed to accessing. According to a June 4 rule published by the Office of Privacy and Open Government at the Commerce Department, key statistical products from the Department will be returning to out-of-date statistical methods to protect privacy, which is likely to result in much less data being available for the public to utilize.

As a data user in Connecticut, here's what we know and what you can look out for with upcoming data releases.

Census & ACS, EquitySarah Eisele-DyrliJuly 31, 2026census, equity in data

Equity in Data Community of Practice | Accessibility in Data Visualization

In July, we held a session discussing data visualization design principles centered around equity and accessibility. We explored how our design decisions for data visualizations could potentially exclude parts of our audiences, shaping who can gain insights from the data and who isn't. We also examined what accessibility means, best practices for inclusive design, and heard from several CTData staff members who have made adjustments to their own work.

Community of PracticeJackie VancourSeptember 10, 2025community of practice, equity in data

Equity in Data Community of Practice | Centering Racial Equity Throughout Data Work: AISP's Updated Toolkit

Our June Community of Practice session was centered around the AISP Toolkit for Centering Racial Equity Throughout Data Integration. We explored how decisions throughout data work, from project design to credit attribution, can either advance equity or reinforce harm.

Community of PracticeGuest UserJuly 8, 2025community of practice, equity in data, AISP, toolkit

Equity in Data Community of Practice | Check Before You Chat: A Guide to Evaluating Generative AI Tools

Our May Community of Practice session focused on evaluating generative AI tools with a risk-aware lens, highlighting key considerations like data handling, model transparency, and ethical safeguards. We also took a look at some practical checklists and evaluation rubrics to help guide responsible AI use in the workplace.

Community of PracticeGuest UserJune 20, 2025equity in data, community of practice, ai, tools, evaluating, guide, webinar

Equity in Data Community of Practice | Vulnerability in LGBTQ+ Data Collection

When designing surveys that include LGBTQ+ demographic questions, how do we balance the need for data with respect for privacy and identity? Our March Equity in Data Community of Practice session tackled this challenge by examining real-world examples and developing inclusive, transparent, and trustworthy data collection guidelines.

Equity, Community of PracticeGuest UserMay 13, 2025community of practice, cop, equity in data, webinar

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