The Coleridge Initiative will deliver four fully subsidized Applied Data Analytics training programs for state government employees and their partners focused on education pathways between high school, college, and the workforce, and evaluating the intermediate and long-term outcomes associated with these pathways. The classes will be developed in partnership with the State of New Jersey, using the New Jersey Statewide Data System, and are supported by the Walton Family Foundation and the Gates Foundation.

Watch the recording of the Introductory Webinar to learn more about the classes. Overview The Coleridge Initiative will deliver four fully subsidized Applied Data Analytics training programs for state government employees and their partners focused on education pathways between high school, college, and the workforce, and evaluating the intermediate and long-term outcomes associated with these pathways. The classes will be developed in partnership with the State of New Jersey, using the New Jersey Statewide Data System, and are sponsored by the Walton Family Foundation and Bill & Melinda Gates Foundation. Accepted class participants will learn and apply data analytic approaches such as record linkage, measurement creation, and data visualization to restricted-use linked K-12, postsecondary, and workforce data provided by the State of New Jersey and accessed inside the Coleridge Initiative’s award-winning Administrative Data Research Facility (ADRF). Prospective participants are expected to apply as project teams (more in the following section), and should not plan on providing their own data as part of the training. The first two programs will begin on June 10, 2025, and the latter two will begin on July 9, 2025. The courses are designed with the understanding that it is difficult for state agency staff to make time for professional development, and participants are expected to devote no more than 2 to 4 hours a week to the endeavor. More information on the schedule is available below. Application Information State teams should consist of four to six participants, with at least two having strong programming skills (ideally in R and/or SQL). Teams should feature participants from multiple state agencies or partners, and priority will be given to teams that apply with a designated team lead embedded within the work capable of facilitating team discussions and overseeing and guiding the project development—we believe this setup will contribute to further advancement of the work following the completion of the training. The team lead does not count as one of the 4-6 members of the participating team. Accommodations for individual participants or state teams unable to meet the requirements are encouraged to email training@coleridgeinitiative.org noting their interest. Teams only need to submit one application. As part of the application, the following information will need to be provided for each applicant: A recent resume or CV. A statement describing how their participation supports their professional development. A statement from their supervisor describing how participation will support their organization in the near and long-term future and confirming that they will be able to dedicate sufficient time to the training. Team leads will need to provide a recent resume or CV and a personal statement describing why they are well-suited to support the work as a team lead. All personal and supervisor statements should be no longer than one page. Teams will also be asked to indicate a preference for the class they would like the team to attend, and can respond with “no preference.” The deadline to submit applications is May 28th, 2025. Schedule Class sessions will occur at most once a week, with breaks for federal holidays. Classes 1-4 will contain the same content. Please choose the class series that works best with your schedule. Classes 1 and 2: June 10 - November 4 Classes 1 and 2 Kickoff: June 10, 1:00 PM (1 hour) Module 1, Foundations of Data and Technical Literacy: June 17, 24 and July 1, 8 (1 hour each) at 1:00 PM. Module 2: July 15, 22, 29, August 5, 12, 19, 26, September 9, 16, 23, 30, and October 7 (2 hours each). Classes occur from 10:00 AM-12:00 PM or 2:00 PM-4:00 PM, depending on class selection 1 or 2. Self-Paced Project Work with Team: October 8-November 4 Final presentations: November 4 Classes 3 and 4: July 9 - December 3 Classes 3 and 4 Kickoff: July 9, 1:00 PM (1 hour) Module 1, Foundations of Data and Technical Literacy: July 16, 23, 30, and August 6 (1 hour each) at 1:00 PM. Module 2: August 13, 20, 27, September 10, 17, 24, October 1, 8, 15, 22, 29, and November 5 (2 hours each). Classes occur from 10:00 AM-12:00 PM or 2:00 PM-4:00 PM, depending on class selection 3 or 4. Self-Paced Project Work with Team: November 6-December 2 Final presentations: December 3

Collaboration is essential to impactful research. Join Coleridge Initiative leaders for an interactive meeting on June 4, from 12:00 - 1:00 PM ET, to learn about tools available in the ADRF to accelerate working together and increase efficiency This session is designed for current ADRF users and will: -Highlight built-in collaboration tools available within the ADRF. -Share practical tips for working efficiently with partners across agencies and institutions. -Offer guidance on maximizing research coordination in a secure environment.

A platform for users to collaborate, shape ADRF improvements, and foster a community of practice by: Sharing Knowledge – Building community events and a resource hub to support common best practices.  Problem-Solving – Identifying and resolving data or technology challenges. Enhancing ADRF – Providing user-driven feedback to improve features and services. About The Coding Best Practices Series: Effective data analysis requires both a strong understanding of the programming language needed to complete the analysis and adherence to coding best practices that ensure efficiency, scalability, and maintainability. In these series, we will delve into the essential best practices for coding in modern data analysis, with a specific focus on the Administrative Data Research Facility (ADRF). The series will offer insights on how to optimize coding practices to make data accessible and understandable for policymakers. From code modernization efforts to enhancing the user experience for ADRF users, we will explore various strategies to improve the utilization of the platform. Materials from the previous online community events (Coding in R, RStudio, version control in Git and Coding in SQL, DBeaver, and memory management) are available inside the ADRF. Please reach out to community@coleridgeinitiative.org on how ADRF users can access these materials.

The Coleridge Initiative will deliver four fully subsidized Applied Data Analytics training programs for state government employees and their partners focused on education pathways between high school, college, and the workforce, and evaluating the intermediate and long-term outcomes associated with these pathways.

The Coleridge Initiative will deliver four fully subsidized Applied Data Analytics training programs for state government employees and their partners focused on education pathways between high school, college, and the workforce, and evaluating the intermediate and long-term outcomes associated with these pathways. The classes, each of which will feature the same content on different days and time slots, will be developed in partnership with the State of New Jersey, using the New Jersey Statewide Data System, and will feature the state’s restricted-use linked K-12, postsecondary, and workforce data. In this webinar, attendees will learn more about this opportunity and the application process.

Join us for the 5th Annual National Convening in Arlington, VA, on March 26–28*, 2025. Registration is now open—secure your spot today to explore data-driven solutions and strategic partnerships that shape public policy. Early bird pricing ends February 10th. Government employees attend free.

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. As we celebrate the 5th Anniversary of this convening, we will highlight how strategic partnerships across state, federal, and private sectors are unlocking the potential of administrative data to drive meaningful change in public policy.  Some of the highly anticipated sessions include: Keynote Address by Mark Zandi, Chief Economist, Moody’s Empowering Collaboration across the Public and Private Sectors Empowering Data Innovation to Drive Opportunity and Access in Higher Education Unlocking Responsible Artificial Intelligence Uses with State and Federal Data Collaborating on Best Practices for Data Sharing, Governance, and Infrastructure Sessions highlighting recent work within the DDC, ADA Training, ADRF User Community and MSDC RFI projects are also included in the agenda Multi-State Data Collaborative Partners Only (MSDC): The Multistate Data Collaborative annual meeting will begin Thursday afternoon, March 27th into Friday morning, March 28th We invite you to join us for this exciting event and discover how we can work together to leverage data for the public good. *Note that the afternoon of March 27th and the morning of March 28th will be dedicated to focused meetings with partners in the MSDC. The MSDC Annual Meeting is exclusively for participating or interested state agencies and their policy research partners.

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.

Join the Coleridge Initiative and the Multi-State Data Collaborative on October 2nd, 2024 at 1 PM ET to learn more about the Democratizing our Data Challenge Round 3 opportunity and how to apply.

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 how to apply for Round 3 of the Challenge.

Join one of Coleridge Initiative's upcoming fully-funded Applied Data Analytics Training Program. Participants will work with the NLx Research Hub jobs data and a synthetic dataset based on linked state postsecondary and workforce administrative data inside the Coleridge Initiative’s Administrative Data Research Facility (ADRF).

Overview In partnership with the National Association of State Workforce Agencies (NASWA) and the National Labor Exchange (NLx) Research Hub, the Coleridge Initiative will be delivering a training program focused on job demand data use and how to align it to skills and credentials in state administrative data. The course will be offered in October 2024 and January 2025. By the end of the course, participants will have the tools and experience necessary to create data products and actionable insights that: Enhance existing LMI efforts such as occupational forecasts through supplements to traditional sources of labor market data.  Better communicate the changing needs of labor markets across the nation. More effectively examine how skills and credential attainment align to job demand by industry, geography—such as subregion, metro classification, and state—and worker characteristics. The Coleridge Initiative, NASWA, NLx Research Hub, and Multi-State Data Collaborative teams will host a webinar about this training opportunity and the application process on August 26, 2024 at 1 PM EST. The recording and slide deck from the webinar session will be uploaded to this webpage once they are available. Participants in the training program will have the opportunity to work with the NLx Research Hub jobs data and a synthetic dataset based on linked state postsecondary and workforce administrative data inside the Coleridge Initiative’s Administrative Data Research Facility (ADRF). The first class will begin on October 1, 2024, and the second class will begin on January 8, 2025. The program is designed with the understanding that it is difficult for state agency staff to make time for professional development, and participants are expected to devote no more than 2 to 4 hours a week to the endeavor. Application Information Teams from states new to ADA training, the ADRF, or NLx data, as well as those with experience are both encouraged to apply. State teams should consist of 2-3 participants, with at least one member from a state agency who is part of the workforce system, and others from state education and economic development agencies or local workforce boards. At least one participant should have strong programming skills. Priority will be given to teams that satisfy these requirements. As part of the application, the team lead will need to provide the following for each applicant: A recent resume or CV. A statement describing how their participation will increase the amount of actionable labor market information in the U.S. to support the recruitment, hiring, and training opportunities of all workers to good jobs. A statement from their supervisor describing how participation will support their agency in the near and long-term future. The team lead will also be asked to indicate a preference for the class they would like the team to attend, and can respond with “no preference.” Schedule Class sessions will occur at most once a week, with breaks for federal holidays. Class 1 Schedule: October 1, 2024 - April 8, 2025 1:00 PM EST, Tuesdays Kickoff: 10/1/24 (1 hour) Module 1 (Foundations): 10/8, 10/15, 10/22, 10/29 (1 hour each) Module 2: 11/5, 11/12, 11/19, 12/3, 12/10, 12/17, 1/7, 1/14, 1/21, 1/28, 2/4, 2/18 (2 hours each) Self-Paced Project Work w/ Team: 2/19 - 4/7/2025 Final Presentations: 4/8/25 (approximately 3.5 hours) Class 2 Schedule: January 8, 2025 - June 25, 2025 1:00 PM EST, Wednesdays Kickoff: 1/8/25 (1 hour) Module 1 (Foundations): 1/15, 1/22, 1/29, 2/5 (1 hour each) Module 2: 2/19, 2/26, 3/5, 3/12, 3/19, 4/2, 4/9, 4/16, 4/23, 4/30, 5/7, 5/14 (2 hours each) Self-Paced Project Work w/ Team: 5/15 - 6/24/2025 Final Presentations: 6/25/25 (approximately 3.5 hours)

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.

Join the Coleridge Initiative, the National Association of State Workforce Agencies (NASWA), the National Labor Exchange (NLx) Research Hub, and the Multi-State Data Collaborative (MSDC) to learn more about the two upcoming fully-funded Applied Data Analytics training programs.

We are excited to announce a fully-funded training program, developed in collaboration with the National Association of State Workforce Agencies (NASWA), the National Labor Exchange (NLx) Research Hub, and the Multi-State Data Collaborative (MSDC), focusing on job demand data use and aligning it with skills and credentials in state administrative data. The training will be offered in both October 2024 and January 2025.  Participants will have the opportunity to work with the NLx Research Hub jobs data and a synthetic dataset based on linked state postsecondary and workforce administrative data inside the Coleridge Initiative’s Administrative Data Research Facility (ADRF). Join us for this webinar to learn more about this unique training opportunity and the application process.