DZVIN.COInvestment & Research

Investment & Research

Dzvin.co — research funding deck

Excellence · Impact · Implementation: a falsifiable DI in mental health research program.

Dzvin.co · 2026
DZVIN.CO02 / 11

Project objective

Develop and evaluate uncertainty-aware, explainable decision support for digital mental wellbeing.

Dzvin.co applied domain
QDIP decision-intelligence research track
Conceptual product workflow, not customer data
DZVIN.CO03 / 11

State of the art

JITAI, adaptive models and micro-randomized trials already exist; reliable decision policies still require careful evaluation.

Prediction is not benefit
Sensitive data and incomplete observation
Compare to simple baselines
Conceptual product workflow, not customer data
DZVIN.CO04 / 11

Excellence: hypotheses

Test the integration of rules, model signals, uncertainty and transparent action selection.

Hybrid policies
Calibration and abstention
Explanation and user control
Conceptual product workflow, not customer data
DZVIN.CO05 / 11

Methods

Start with reproducible synthetic comparisons; use participant studies only under appropriate approvals.

Rule-only, ML-only, hybrid baselines
Calibration, Brier, selective risk
Decision utility and comprehension
Conceptual product workflow, not customer data
DZVIN.CO06 / 11

Existing groundwork

Personal, team and Research Workspace code plus research specifications exist.

Software prototype, not clinical proof
Security/integration still gated
No independent field effectiveness result
Conceptual product workflow, not customer data
DZVIN.CO07 / 11

Impact

Potential relevance to individuals, authorized team-support workflows and reproducible research.

Personal agency
Appropriate group context
Traceable study programs
Conceptual product workflow, not customer data
DZVIN.CO08 / 11

Implementation work packages

Link each funded package to testable deliverables.

WP1 Secure integration
WP2 DI methods and benchmarks
WP3 Feasibility, evidence and launch
Conceptual product workflow, not customer data
DZVIN.CO09 / 11

Ethics and risks

Incomplete observations, bias, privacy, harmful overconfidence and misuse.

Consent and data minimization
Abstention and human approval
Go/no-go with negative results
Conceptual product workflow, not customer data
DZVIN.CO10 / 11

Funding framework

Budget and duration depend on actual costs and the target call's rules.

Engineering, R&D, ethics, hosting
Milestone-based budgeting
No invented grant commitments
Conceptual product workflow, not customer data
DZVIN.CO11 / 11

Collaboration request

Seek qualified research/funding partners for an independently assessed study.

Identify suitable call and eligibility
Design consortium and protocol
Agree budget and evidence plan
Conceptual product workflow, not customer data