The T3 Networks each run projects that work to create public resources and tools for the community. Participation is voluntary. Project members, like network members, come from all industries, sectors, and countries. For more information or to join, email firstname.lastname@example.org
An effort to test whether artificial intelligence and related technologies can help bring someone’s past education and employment history forward to produce a skills-based, standards-based LER that can be self-verified. This project seeks to demonstrate the power of technology to meet the workforce where it is at and make LERs a resource for everyone, including current workers, the unemployed, and those who have completed an education program or earned a credential in the past.
A standard developed to bridge the divide between employer hiring systems and LERs. The Resume Profile Specification will enable a learner or worker to take data elements from one or more LERs and combine them to make a resume presentation that is machine actionable in an employer HR system.
A lightweight standard developed to make it seamless to make an assertion about someone (or yourself) having one or more skills or competencies. This lightweight standard was developed to make it easy for organizations, like employers, to enter into the LER space and begin making assertions about someone’s skills, weather learned in the classroom, in a community, or on the job.
A protocol that enables any holder of one or more competency frameworks, skill frameworks, or ontologies to link to other holders thereby creating an interconnected system of libraries or registries that can be searched. Through the Competency Explore by visiting one library or registry you are able to search all of them.
The CFEM enables stakeholders to take unstructured data about competencies, learning outcomes, and/or skills and convert them to machine actionable data per a data standard. This tool meets the community where it is at today and empowers stakeholders in the talent marketplace to be part of this digital transformation by converting existing and past unstructured data to structured, standards-based data.
The DESM was developed to support data standards organizations–and the platform and products that use those standards–in mapping, aligning and harmonizing data standards to promote data interoperability for the talent marketplace. The DESM allows for data packages to move from a system or product using one or more data standards to another system or product that uses a different data standard.
The Master Use Case provides an in-depth look at human and technology workflow processes used to operationalize skills-based hiring for job seekers, education providers, and employers. It includes the use of data standards for each step in the process and identifies potential points of failure and where additional work is needed in order to realize the full potential of skills-based hiring and advancement for the talent marketplace.
Senior Director, Programs at U.S. Chamber of Commerce Foundation
President, Reconnaître—Open Recognition Alliance