Mission
Neighbor Gap Bridge (NGB) advances ethical, adaptive learning by creating experimental spaces where emerging technologies, institutions, and practices can be examined, tested, and reconfigured before they become fixed or irreversible.
About Neighbor Gap Bridge (NGB)
We live in a moment when technologies, institutions, and learning systems scale faster than our ability to understand their consequences. Tools designed to connect often deepen divides; systems meant to support learning become rigid just as they most need to adapt.
Neighbor Gap Bridge (NGB) was created in response to this tension.
About the name
A neighbor is someone or something close enough to matter. NGB began by working in physical neighborhoods, identifying small gaps and building experimental bridges. Today, the work extends to neighboring ideas, disciplines, and systems—especially where emerging technologies like AI reshape how learning happens.
Why NGB
NGB exists to hold experimental space before systems harden—where ideas can be tested, questioned, and released without requiring immediate success, polish, or permanence. We work with unfinished questions and provisional forms, allowing inquiry to remain flexible, responsive, and humane.
At its core, NGB responds to a familiar imbalance: contemporary educational, technological, and ethical systems often optimize for speed, scale, and efficiency faster than they cultivate wisdom, care, or shared agency. NGB slows this dynamic down—not to resist progress, but to make room for reflection, responsibility, and redesign.
How We Work
NGB operates through experiments.
We use provisional tools—AI systems, ethical frameworks, learning structures, and conceptual models—as temporary scaffolds. These tools are built to test an idea, support growth, and be released when they no longer serve inquiry. Success is not measured by fixed outcomes or scalable solutions, but by the conditions we create: how learning emerges, how systems remain adaptable, and when it becomes necessary to let go.
This is not product development. It is inquiry in motion.
Where We Work
NGB operates across formal and informal environments: experimental classrooms, museums, synthetic biology labs, startups, bowling alleys, and senior centers. Our work moves fluidly between physical and digital spaces—Google Colab, Jupyter notebooks, Padlets, playgrounds, and Python—treating each as a site for learning, testing, and reflection.
Friends of NGB
NGB collaborates with practitioners across psychology, cultural studies, neuroscience, design, and technology. We function as a liminal space—before systems harden—where ideas can be revised, reconfigured, or set down without penalty. These collaborations prioritize trust, curiosity, and shared responsibility over certainty or control.
About the name
A neighbor is something close enough to matter. NGB began by working in physical neighborhoods, identifying small gaps and building experimental bridges. Today, the work extends to neighboring ideas, disciplines, and systems—especially where emerging technologies like AI reshape how learning happens.
About Patricia Kovic
Patricia Kovic is an educational researcher and pedagogue who studies how learning and learning systems might be redesigned for optimal social agency—in the age of AI. At Otis College, she leads interdisciplinary courses that combine design thinking, community-based practice, science and experimental pedagogy.
Patricia has completed advanced training in AI agentic frameworks through Purdue University and Microsoft. Her pedagogy has been presented internationally at venues including the Tate Gallery and the Sorbonne.