Neurohue

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Overview

This year, I co-founded (with NYU PhD Ayanna Seals) an interuniversity, interdisciplinary nonprofit exploring the bio-psycho-social implications of existing systems and digital interventions for global health and wellness.

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Website

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Some of our current projects:

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AR Glasses-based Mental Health Training for Lay Health Care Workers‍

• My roles: Project Lead, AR Designer, Researcher
• ‍‍Project Link‍
• Research Proposal (Accepted)
• Pitch Deck (branded as "stongr")
• Prototype: XR Brain Jam
• Awards: Next Jump Human Performance Hackathon ("Most Forward-thinking Idea"), NYU Innovention Challenge ("Finalist"), NYU Tandon Data Future Lab: Next Round Incubator ("Finalist")
• Client: City University of New York's (CUNY) Center for Innovation in Mental Health (CIMH)

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The Experimental Design of Audio AR for Participatory Cognitive Reframing Exercises‍

• My role: AR Designer, Researcher‍
• Project Link
• Abstract
• Design Guidelines
• Conference Presentation: BrainPlay 2022 @ Carnegie Mellon University

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‍Psychedelics-Inspired Immersive Therapy Research Assistance‍

• My role: Proposal Writer‍
• Project Link‍
• ‍Research Proposal (Accepted)
• Client: Entheo.Digital

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About Neurohue:‍

Neurohue is a global, decentralized, non-profit, independent research collective dedicated to the development of novel solutions for the world's most pressing health and wellness problems.

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‍What We Believe:‍

• Collectively, humanity has the resources to accomplish the seemingly impossible
• Global-scale positive impact can be created by improving the solvability of wicked problems
• Improving solvability is possible through expanding human knowledge through scientific exploration
• The future of science relies on public trust, accessibility, and accountability

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What We Do:

Define

• Understand previously identified mechanisms of problems through literature reviews
• Protocol development for qualitative and quantitative studies to expand the depth of human knowledge of the issue
• Design interventions with experts and the public for experimentation

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Evaluate

• Publish protocol for early detection of methodological issues
• Execute studies inclusive of interview and survey data, psychometric and biometric data collection, statistics, and data science
• Ensure participant and data protection best practices are employed

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Scale

• Expert and public peer-review process and accessible open-science approach for accountability and testing reproducibility
• Iterative approach optimizing quality, efficiency, and new insight discovery
• Create research tools for high-impact workflow

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Our Research Collective Includes:

• PhDs from R1 institutions
• Qualitative and quantitative researchers
• Advisors
• Designers
• Developers
• Software engineers
• UX engineers

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Our diverse and multidisciplinary team allows us to discover and evaluate innovative solutions with emerging technologies to improve existing systems and overcome challenges in multiple fields.