The science behind Original Intelligence

Cofounded by scientists. Backed by research

Hupside is built on original science, not repurposed theory or intuition about creativity.
The science of Original Intelligence was developed by two of Hupside's co-founders, Adam Green and Dan Johnson, through years of peer-reviewed work spanning neuroscience, creativity science, and computational measurement.

Check out Dan & Adam's published research

Adam Green
Dan Johnson
Adam Green & Dan Johnson

Co-Inventors of Original Intelligence

Co-Founders and Co-Inventors, Hupside

Adam Green and Dan Johnson are among a small group of scientists globally whose research directly addresses the defining problem of the AI era:
  • How do we measure the originality that humans add when humans and AI collaborate?
  • Answering this question also addresses the parallel question of howto measure originality in new AI systems as they emerge.
Their work explains why traditional creativity measures fail in an AI environment—and how originality must be redefined and re-measured to remain meaningful.

Redefining creativity for the AI era

Traditional creativity science measured novelty or usefulness — both of which AI now produces at scale. Green and Johnson's research replaces that standard with something AI can't fake: process.
Adam Green — the process

How ideas form

Human creativity is defined by process: how people generate meaning, integrate distant ideas, and deliberately expand an idea space beyond statistical prediction — not by whether an output merely looks novel.

Dan Johnson — the measurement

How process is detected

Those creative processes can be detected, modeled, and quantified in real human output using computational methods — turning a cognitive theory into a scoreable signal.
What matters is not whether an output looks creative — but whether it is genuinely distinct from what AI would produce without human contribution.

Measuring Idea Space Expansion

A core scientific breakthrough behind Hupside is the ability to measure originality as distance traveled in an idea space, rather than as stylistic novelty or subjective judgment.
Dan Johnson is a leading pioneer in computational creativity assessment. His work introduced and refined the instruments below — demonstrated across creative writing, design, problem-solving, and everyday ideation to be measurable objectively, reliably, and at scale.
Adam Green's research provides the cognitive and neuroscientific grounding for why this distance matters: ideas that expand the space are the ones that drive adaptation, innovation, and differentiation.
This joint work makes Hupchecker possible.

  • Semantic distance modeling

    Positions an idea relative to its conceptual neighborhood.

  • Divergent semantic integration (DSI)

    Quantifies how far apart the concepts inside a single response sit.

  • Thematic profile analysis

    Maps the underlying themes an output draws on and combines.

  • Multilingual originality measurement

    Extends scoring across languages, not just English text.

  • Automated creativity scoring

    Uses machine learning and large language models to score at scale.

Proving the AI Homogenization Problem

Green and Johnson’s research also addresses a growing but poorly measured risk:AI-driven homogenization.
Their work shows that while AI has substantial potential to improve productivity in many tasks, it flattens the distinctness of human ideas that has always been the driver of creative value. As more people rely on the same models, outputs converge toward shared statistical centers.
What appears novel in isolation becomes repetitive at scale.
This effect is now empirically demonstrated—including Green and Johnson’s research in more than 300,000 human thinkers, and it explains why AI adoption alone does not create durable competitive advantage.
Original Intelligence is the measurable counterforce.

From Academic Research to Platform

Hupside exists because this research led to a clear conclusion:
In an AI-everywhere world, originality is no longer visible, intuitive, or reliably rewarded unless it is measured.
Adam Green and Dan Johnson did not adapt legacy creativity tests to AI.
They co-invented a new measurement framework,explicitly designed for an AI environment—one that:
  • Does not rely on self-report
  • Measures distance in idea space expansion from both human and AI baselines, and remains valid as AI models evolve.
Hupchecker operationalizes that science.

Scientific Authority, Field Leadership

Together, the founders bring rare and complementary credibility

Adam Green

Co-founder and co-inventor, Hupside
  • 70+ peer-reviewed publications
  • Founder, Society for the Neuroscience of Creativity
  • Editor-in-Chief, Creativity Research Journal
  • Director, Georgetown Laboratory for Relational Cognition; Professor of Psychology and Neuroscience
  • Principal Investigator on large, multi-national, cross-institution research programs
  • Leading authority on the cognitive and neural basis of originality

Dan Johnson

Co-founder and co-inventor, Hupside
  • Pioneer of computational creativity and originality measurement
  • Author of foundational methods for extracting originality from narratives
  • Developer of semantic, thematic, and multilingual originality metrics
  • Principal Investigator on large-scale data-driven creativity studies
  • Professor and founder of academic data science programs
  • Leading authority on objective, automated creativity assessment

Why This Matters

Most AI strategies fail not because of technology—but because organizations cannot see who is creating value with AI.
Original Intelligence solves that problem because it was built by the scientists who:
  • Redefined creativity for an AI world.
  • Proved why AI collapses the differentiation that makes creativity valuable.
  • Developed the only methods capable of measuring humans' contribution to originality in an AI-everywhere world.
This is the science behind Hupside.

Measure value beyond AI.

The organizations that can see original value will keep it.
The ones that can't will lose it to sameness.
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