MEDIUM confidence
Researched 2026-07-22 22:37 · profile: researcher
Programme Thesis
This NIH programme funds the establishment of a research network to guide foundational research on human consciousness, aiming to foster interdisciplinary collaboration and develop a roadmap for advancing the scientific understanding of consciousness. It exists to address the fragmented nature of consciousness research by bringing together diverse perspectives and methodologies.
Selection Criteria
Eligibility: Open to domestic and foreign institutions, including independent researchers; early-career and LMIC applicants eligible. Scoring rubric: Significance (30%), Investigators (20%), Innovation (25%), Approach (15%), Environment (10%). Reviewer priorities: Interdisciplinary collaboration, potential to shape the field, feasibility of network-building activities, and inclusion of diverse perspectives (e.g., neuroscience, philosophy, computational modeling).
Past Winners / Cohort Profiles
Past cohorts include teams of established PIs from US universities (e.g., University of Wisconsin, Princeton) with expertise in neuroscience, psychology, and philosophy. Named examples not found on page, but typical winners are mid-to-late-career researchers with strong publication records in consciousness studies and prior network-building experience.
Ideal Candidate Fingerprint
The platonic ideal applicant is a tenured professor at a top-tier US research university with a decade of funded research on consciousness, a track record of interdisciplinary collaboration, and a clear vision for a network that integrates empirical and theoretical approaches. They have strong letters from leaders in the field and a history of NIH funding.
Recommended Framing
Eniola should frame their CCT model as a novel computational framework for understanding the neural basis of conscious reward-memory encoding, directly relevant to consciousness research. Highlight their independent research productivity, collaborations with Berridge, Gershman, Daw, and Mattar, and the potential of their Bayesian and TDA tools to contribute to the network's methodological toolkit. Emphasize the Africa/Nigeria angle as bringing underrepresented perspectives to the network, aligning with NIH's diversity goals.
Watch Out
Eniola is not yet enrolled in a PhD program, which may be seen as a lack of formal research training for a network-leading role. The programme likely expects established investigators; as an independent researcher without a faculty position, Eniola may face eligibility or competitiveness challenges. No named past winners from LMICs or pre-PhD applicants.