Join us to reflect on what we learned in 2024, and share what we hope to do differently in 2025, as well as topics to cover in this group.
Join us as we support one another as we work toward more equitable data practices.
Join us for our first Equity in Data Happy Hour!
Join us this month as we support one another as we work toward more equitable data practices.
Join us as we learn together how we can improve equity within our data work.
Join our community this month to learn how we can build equity into our data practices.
Join our community to discover ways we can incorporate equitable principles into our data work.
Join us for an in-depth look at how race and ethnicity data is collected and how you can use it appropriately in your work.
Join our community this month to discuss how to work with and use data equitably.
Join us for an engaging discussion on the strategic steps involved in creating effective and accessible dashboards. Our speaker this month is Mica Knox, Data Analyst at the COMPASS Youth Collaborative. Mica will share insights into the planning process and the creation of the dashboards created for their organization.
In this session, we will devote time to debriefing and reflecting on the fall sessions, & sharing ideas for what we'd like to learn in 2024.
Join us for a virtual conference where we will talk about the topics YOU are most interested in.
Join us for a virtual discussion where you will have a chance to learn how to apply equitable data practices to your work.
Join us for a virtual discussion where you will have a chance to learn how to apply equitable data practices to your work.
Understanding Race & Ethnicity Data Provided by the Census Bureau
Join us for a virtual discussion where you will have a chance to learn how to apply equitable data practices to your work.
I can’t get that data, right? Using the Census Microdata Tool for granular race, nationality, and language data
In this session, we will be digging into data analysis and consistency. Why? Because the decisions we make in analyzing data and keeping our data consistent are equity topics!
Join us for a virtual discussion where you will have a chance to learn how to apply equitable data practices to your work.
About this group:
We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.
Some of the topics we talk about include:
How can we make sure we don't make certain groups invisible through how we disaggregate our data?
How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?
How can we learn from the people who we hope will benefit from our products or services about what their data means to them?
How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?
You can read more about our past events here.
Please feel free to check out the group. And if it is helpful, please share it!
Join us for a virtual discussion where you will have a chance to learn how to apply equitable data practices to your work.
About this group:
We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.
Some of the topics we talk about include:
How can we make sure we don't make certain groups invisible through how we disaggregate our data?
How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?
How can we learn from the people who we hope will benefit from our products or services about what their data means to them?
How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?
You can read more about our past events here.
Please feel free to check out the group. And if it is helpful, please share it!
In this session, we will devote time to debriefing and reflecting on the fall sessions. We have heard a lot of insightful information - now it’s time to talk about how to apply it and share ideas for what we want to learn in 2023.
Do you have data that contains geographic information (town, zip code, etc.) that you have never put onto a map? What is hiding in there?
Join us for a virtual discussion on mapping and equity.
Discussion topics chosen by YOU!
Program Description: Survey data can help you gather important information about your programs, clients, and services. However, there is a science to crafting and designing surveys that gather meaningful insights to improve your work. This class will provide general guidelines and practices in survey design, including for customer surveys and evaluative surveys, and will provide you with the knowledge and skills to help you create better surveys.
In Intro to Survey Design you will learn how to:
Develop questions that give you meaningful information.
Identify survey questions using best practices.
Create a high-quality survey.
After attending this workshop you will have the skills you need to put into practice to improve the quality of your survey data.
Covid Protocol
This workshop will be held in the CTData office space at Trinity College Action Lab. In keeping with Trinity College’s COVID protocols, attendees must wear a mask and show a vaccination card to enter.
Workshops build skills, clear up confusion, and enhance professional development, but you didn’t need us to tell you that. Studies have found that by charging a small fee, it increases the likelihood that you will attend this workshop and reap the benefits of the training. For this reason, we charge a small fee to cover the cost of parking and food. However, if you are truly unable to pay the fee, please contact Sarah (sarah@ctdata.org) to attend this training free of charge.
If this article about the work of a group of Trinity College students, who conducted analysis and compiled some charts to explain the progress of the Sheff v. O’Neill agreement caught your eye, you’re not alone. For our June session, we have invited Jack Dougherty, the Trinity professor who supported this intriguing data work, to talk with us about the process of turning an 87-page legal document into some easy-to-read graphics that the people most affected by this agreement might be able to understand and interact with. Between first-hand experience by students and buried data about the progress of desegregation, the students compiled information that can help residents of the Hartford region advocate for equal access to education as envisioned in this movement.
About the speaker
Jack Dougherty is Professor and Director of the Educational Studies Program at Trinity College. He and his students use tools from digital history, data visualization, and web writing to explore the relationship between cities, suburbs, and schools in metropolitan Hartford, Connecticut. Jack received his B.A. in philosophy from Swarthmore College, taught high school social studies in Newark, New Jersey, then earned his Ph.D. in educational policy studies, with a minor in U.S. history, from the University of Wisconsin-Madison. At Trinity, he co-created the Liberal Arts Action Lab while serving as its first Faculty Director (2017-2020), and also led the team that launched the Center for Hartford Engagement and Research(CHER) while serving as its first Director (2018-2020). Learn more about his teaching, scholarship, and community engagement at https://jackdougherty.org.
About this group
The Equity in Data Community of Practice is a group-led community of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.
You can read more about our past events here.
About this group:
We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.
Some of the topics we talk about include:
How can we make sure we don't make certain groups invisible through how we disaggregate our data?
How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?
How can we learn from the people who we hope will benefit from our products or services about what their data means to them?
How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?
You can read more about our past events here.
Please feel free to check out the group. And if it is helpful, please share it!
About this group:
We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.
Some of the topics we talk about include:
How can we make sure we don't make certain groups invisible through how we disaggregate our data?
How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?
How can we learn from the people who we hope will benefit from our products or services about what their data means to them?
How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?
You can read more about our past events here.
Please feel free to check out the group. And if it is helpful, please share it!
About this group:
We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.
Some of the topics we talk about include:
How can we make sure we don't make certain groups invisible through how we disaggregate our data?
How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?
How can we learn from the people who we hope will benefit from our products or services about what their data means to them?
How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?
You can read more about our past events here.
Please feel free to check out the group. And if it is helpful, please share it!
About this group:
We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.
Some of the topics we talk about include:
How can we make sure we don't make certain groups invisible through how we disaggregate our data?
How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?
How can we learn from the people who we hope will benefit from our products or services about what their data means to them?
How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?
You can read more about our past events here.
Please feel free to check out the group. And if it is helpful, please share it!
We have a lot to process after our November session on Do No Harm with Data! Come join us as we process what we would like to apply from that session. Also, as our last meeting of the year, we want to hear what topics we should discuss for the upcoming year. We hope to see you there!
