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2026 Badge Summit @ CU Boulder
In-person July 13-15 | Online August 4
Wednesday July 15, 2026 9:30am - 10:00am MDT
If skills are the primary currency of the modern labor market, digital badges represent an undervalued asset. A significant gap exists between rigorous academic instruction and the broad, often ill-defined competencies attached to many micro-credentials. To address this, the George Washington Institute of Public Policy (GWIPP) and the Digital Credentials Consortium (DCC) have developed a suite of open-source tools designed to automate the alignment of curricula with granular, interoperable skill taxonomies.

This session provides a technical demonstration of how these tools lower the "transition cost" for institutions moving toward standardized digital infrastructure. The presentation will walk through the application of the DCC Credential Co-Writer, enhanced by LAiSER (Leveraging AI for Skills Extraction and Research), to translate complex syllabi into well-defined, machine-readable badges. Then, the presenters will demonstrate the GWU Credential Comparison Tool, which utilizes AI to identify alignment between existing badge frameworks and specific course content. These tools can be made available to attendees through cloud-based platforms on a trial basis at no cost, and the LAiSER team can assist attendees in downloading and running open-source software locally as a free and permanent option for analyzing skills data.  


Attendees will observe how LAiSER-driven enhancements can "upcycle" legacy credentials by embedding precise, standardized skills without increasing administrative burden on faculty. They will also be prepared to implement beta/pilot versions of LAiSER-enhanced tools on their own campuses to enhance digital credentials and existing courses.  This demonstration is intended for practitioners and policymakers seeking ready-to-use, low- or no-cost tools to implement Open Badges 3.0 and enhance the portability of human capital in a
robust, interoperable skills ecosystem.
Speakers
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Kritika Berry

Graduate Research Assistant, George Washington University
Kritika Berry is a graduate student in computer science at George Washington University. She has worked extensively in the creation and development of skills taxonomies and is a key contributor to the LAiSER project.
avatar for Luis Gonzalez

Luis Gonzalez

Postdoctoral Associate, George Washington University
Luis Gonzalez is a Postdoctoral Associate at George Washington University, where he leads several components of the LAiSER project including integration with Credential Co-Writer.
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Divya Narula

Assistant Research Professor, George Washington University
Divya Narula is an assistant research professor at GWU, where she serves as lead technical advisor to the LAiSER project. She also leads the North American Data Science practice at FGS Global, a strategic communications firm.
avatar for Mike Sanders

Mike Sanders

Research Scientist, George Washington University
Mike Sanders is a research scientist at George Washington University, where he oversees the Leveraging AI for Skills Extraction and Research project.

Wednesday July 15, 2026 9:30am - 10:00am MDT
UMC 415+417

Attendees (2)


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