The R Programming: Basic course will provide participants with fundamental knowledge of the R programming language for working with multiple types of data, reproducible research, data manipulation, and reporting.

Participants in the course will have the opportunity to explore synthetic microdata, based on commonly used administrative data, using the Rstudio development environment and tools from the tidyverse suite of R packages within the ADRF secure data environment. Topics include R data types and their manipulation using the tidyverse, project usage, data management, and using R for reporting and constructing publication-quality output and reports. Upon completion of this short course, participants will have exposure and experience with core elements of the R programming language, and experience using R for fundamental data analysis and reporting tasks, preparing them for more advanced coursework in applied data analytics. Tuition for this course is $1,000. This course is only available to applicants in the United States. This course has no prerequisites and is offered 2-3 times per year. The next course will begin January 24, 2025, with classes meeting on Fridays from 12:00 PM to 2:00 PM EST and optional office hours on Mondays from 1:00 PM to 2:00 PM EST.

The Advanced Data Visualization course will provide participants with advanced tools for the creation of data visualizations using the R programming language.

Participants in the course will have the opportunity to explore confidential microdata using the Rstudio development environment and tools from the tidyverse suite of R packages within the ADRF secure data environment. Topics include customization of ggplot objects, advanced visualization techniques and geometries, mapping of spatial data, creation of animations and interactive plots, and an introduction to Shiny apps. Upon completion of this short course, participants will be able to produce customized visualizations of a variety of different data types, as well as interactive visualization tools. Tuition for this course is $1,000. This course is only available to applicants in the United States. The prerequisite for this course is Exploratory Data Analysis and Visualization. This course is offered 1-2 times per year. The next class will be held on October 18 - November 15, 2024, with classes meeting on Fridays from 12:00 PM to 2:00 PM EST and optional office hours on Mondays from 1:00 PM to 2:00 PM EST.

The Python for Data Analysis course will provide participants with an understanding of Python packages for applied data analysis.

Participants in the course will have the opportunity to explore confidential microdata using the Rstudio development environment and tools from the pandas and polars Python packages within the ADRF secure data environment. Topics include data access, manipulation, and summarization as well as coverage of data visualization using the matplotlib and seaborn packages. Upon completion of this short course, participants will have introductory exposure to tools that are applicable to a wide variety of research settings and that will prepare them for more advanced coursework in applied data analytics. Tuition for this course is $1,000. This course is only available to applicants in the United States. This course has no prerequisites and is offered 3-4 times per year. The next session will be held from September 13 to October 11, 2024, with classes meeting on Fridays from 12:00 PM to 2:00 PM EST and optional office hours on Mondays from 1:00 PM to 2:00 PM EST.

The Exploratory Data Analysis (EDA) and Data Visualization course will introduce participants to applied data analysis and data visualization using R Programming language.

This course is a modern introduction to applied data analysis and data visualization using the R programming language. Participants in the course will have the opportunity to explore confidential microdata using the Rstudio development environment and tools from the tidyverse suite of R packages within the ADRF secure data environment. Topics include data access, manipulation, and summarization as well as coverage of data visualization using the ggplot2 package. Upon completion of this short course, participants will have introductory exposure to tools that are applicable to a wide variety of research settings and that will prepare them for more advanced coursework in applied data analytics. Tuition for this course is $1,000. This course is only available to applicants in the United States. This course has no prerequisites and is offered 3-4 times per year. The next class will be held in 2025, with classes meeting on Fridays from 12:00 PM to 2:00 PM EST and optional office hours on Mondays from 12:00 PM to 2:00 PM EST.

Join the Coleridge Initiative and MDRC for this informational webinar to learn more about the new State IMPACT Collaborative and how to submit a Letter of Intent (LOI) to participate in the program.

MDRC and the Coleridge Initiative are excited to announce an opportunity for state agencies to conduct a rigorous evaluation of a program or policy modification using their administrative data. We are looking to collaborate with state agencies interested in testing variations in program services such as enhancing a program by adding a new component or enhancing existing services. Tests must be programmatically feasible within a short time frame and have readily available data for measuring outcomes. State agencies will be expected to test variations in economic mobility program services. Proposed tests must target systems, operations, or policies in one of the following domains: workforce development, higher education, income support, housing, and justice programs. This opportunity includes direct funding as well as technical assistance. We are prepared to work with state agency teams across a range of levels of knowledge, skills, and competencies. Some state agency teams may have internal staff capacity to do much of the required data work on their own. Other state agency teams may need more hands-on teaching to complete the data analytics work. Regardless of the state agency’s evaluation and data analytics capacity, we welcome you to apply by August 7th.

Join the Coleridge Initiative, the Institute for Higher Education Policy (IHEP), and representatives from multiple state and higher education agencies to learn more about the Postsecondary Value Framework and how it can inform more equitable and effective higher education policies.

The Value Data Collaborative (VDC) is a data-driven approach to understanding the return on investment in higher education. The VDC uses the Postsecondary Value Framework, developed by the Postsecondary Value Commission, which provides a basis for understanding the return on investment in postsecondary education, particularly by race, ethnicity, income, and gender.  In this webinar, participants will learn from state administrators who have implemented the framework within their policymaking processes and gain insights into the challenges they’ve overcome. Speakers from Coleridge and IHEP will also dive deeper to explore the nuances of the framework and discover how it can inform more equitable and effective higher education policies.

Join Coleridge Initiative's Director of Data Enclave Programs, Jon Mills, and VP of State Programs, Jessica Cunningham, to discuss invaluable insights and experience gained through the Democratizing our Data Challenge in data-sharing agreements, multi-partner collaboration, secure technology, data governance and compliance, and data infrastructures.

The successful design of government policies and practices relies heavily on strategic collaboration between data partners. The Coleridge Initiative’s Democratizing our Data Challenge has enabled the collaboration of multi-partner teams from across the United States to expand existing data products developed in the Administrative Data Research Facility (ADRF) and develop new data linkages, dashboards, portals, APIs, data models, and code repositories. Through the Challenge, we have gained invaluable insights and experience in data-sharing agreements, multi-partner collaboration, secure technology, data governance and compliance, and data infrastructures. In this webinar session, we will provide an overview of the Democratizing our Data Challenge and discuss Round 3 of the Challenge.

Join us for the Coleridge Initiative’s 4th Annual National Convening - Building Bridges, Breaking Barriers: Data Collaboration for the Public Good. The Convening will be held from March 18th - 20th, 2024, at the Crystal Gateway Marriott in Arlington, Virginia. Please note that March 18th is reserved for meetings of state agencies, institutions, and entities supporting the Multi-State Data Collaboratives in partnership with NASWA and SHEEO. General registration is closed. If you are a partner and would still like to register, please contact us at info@coleridgeinitiative.org.

In today’s data-driven world, the successful design of government policies and practices relies heavily on strategic collaboration between data partners. Coleridge Initiative’s Annual Convenings are designed to showcase the transformative potential of leveraging administrative data through state, federal, and private collaborations. In this year’s program, we will explore how leaders in the field are pushing the boundaries of traditional governance, forging data partnerships, and reshaping the future of public policy and administration. Attendees can expect to gain insights into how data collaboration can lead to better outcomes in public policy and administration, as well as learn about innovative projects, products, and practices that are driving change in the field. The Convening will feature sessions designed to provide attendees with valuable knowledge and networking opportunities. Some of the highly anticipated sessions include: Fireside Chat - Building Bridges from Data to Public Impact Philanthropic Funding Impacts on Data Innovation and Collaboration Democratizing Data Challenge Gallery Walk Poster Session Employing Strategies for Effective Code Modernization Breaking Barriers through Technology What’s Next with AI? Collaboration for the Future: What’s Next with Upcoming Projects? We invite you to join us for this exciting event and discover how we can work together to leverage data for the public good.

Join Coleridge Initiative VP of Product and Development, Nathan Barrett, Senior Manager of Training and Data Analytics, Benjamin Feder, and Senior Research Scientist, Corey Sparks to discuss the complex data systems and analytical approaches required to facilitate evidence-based decision-making. 12: 00 PM - 1:00 PM (EST)

Today’s policy questions require increasingly complex data systems and analytic approaches to facilitate evidence-based decision-making. The Coleridge Initiative’s Applied Data Analytics (ADA) training programs are centered around these questions and designed to both build new data infrastructure and the analytic capacity of agency staff. Coleridge's full training program topics are collaboratively developed with partner states and the curriculum is designed to demonstrate concepts through a project-based learning approach. By working hands-on with micro-level data, participants can explore the art of the possible by developing, interpreting, and communicating value-based outcomes. Coleridge is also excited to announce our short course series which takes a deeper dive into core data analytic concepts through the use of micro-level data. In this webinar session, we will provide an overview of our ADA programs, products and insights developed through the training, and an outlook on innovations that can be achieved through our programs.

Join Coleridge Initiative CEO, Ahu Yildirmaz, and CTO/CISO, Mahesh Sahore, to discuss the Administrative Data Research Facility (ADRF). 12 PM - 1 PM EST

The Administrative Data Research Facility (ADRF) is an award-winning, secure, cloud-based data hosting platform that enables collaboration between agencies across jurisdictions. With a focus on safe access and use of administrative data, the ADRF provides agency researchers with secure data enclaves that promote collaboration and innovation. During this webinar session, we will explain the pipeline from data ingestion to safe exports while providing a walkthrough of the ADRF including Coleridge's project isolation model and demonstrating how researchers can access their data with R or through DBeaver. We will also present a live demo of the newly launched ADRF Management Portal.