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✦ PRIVATE BETA By invitation · A2I2 · Deakin

The research platform
for digital science.

Surveys, gamified tasks, digital phenotyping, and AI-optimised interventions. One platform, end-to-end.

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schedule Onboarding select research teams · typical lead time 2–3 weeks

lock conductor.a2i2.deakin.edu.au/sq-42
● TRIAL ACTIVE
Experiments chevron_right Sleep Quality Study
notifications history
Dr. Sarah Chen
Principal Investigator

Dashboard

Real-time oversight for the Sleep Quality Study SQ-42.

Active Participants
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Total Trials
science
0 (1 active)
Completion Rate
↗ 0%
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Pending Submissions
REVIEW
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Updated 14 mins ago
Participant Enrollment
Net cumulative growth over the last 30 days
30D 90D
May 01May 10May 20May 30
Intervention Allocation
0 Total
Control0%
Treatment A0%
Treatment B0%
Recent Activity
View Archive
Today
fact_check
Participant #402 submitted Daily Survey2h ago
SURVEY
play_circle
Trial 1 successfully initiated5h ago
TRIAL
Yesterday
edit_document
Updated Intake Protocol V2.422h ago
PROTOCOL
Experiment Status
Current Phase ● ACTIVE
Overall Progress 0%
Start
Jan 12, 2024
End
Jun 24, 2024
0+
Study participants
JAMA
Published research
World-first
AI-optimised adaptive trial
Trusted by leading research institutions
D DEAKIN UNIVERSITY
A2I2 APPLIED AI INITIATIVE
BLACK DOG INITIATIVE
G CITY OF GEELONG
CITY OF WYNDHAM
N NHMRC NATIONAL HEALTH
JAMA NETWORK OPEN
npj DIGITAL MEDICINE
Built on rigor

Studies that
stand up to peer review.

Every click, survey, and sensor reading is timestamped, versioned, and exportable. Your data is publication-ready from day one.

0+
Study participants enrolled
0%
Platform uptime, last 12 months
0
Adaptive intervention arms supported
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Peer-reviewed journals to date
Platform

Everything you need to run a digital study

From recruitment to analysis, Conductor handles the full research lifecycle with purpose-built tools for every study type.

assignment

Survey Distribution

Deploy validated questionnaires at scale with branching logic, timed delivery, and participant-level tracking across study arms.

stadia_controller

Tasks & Mini-games

Embed gamified cognitive and behavioural tasks directly in studies. Measure attention, reaction time, and engagement with built-in scoring.

monitor_heart

Digital Phenotyping

Collect passive sensor-based data — activity, sleep, location patterns — alongside self-report data.

groups

Flexible Participation

Support both fully anonymised and PII-registered participant flows. Configurable consent, re-identification controls, and ethics-ready data governance — all from one schema.

ANONYMOUS PII-LINKED HREC-READY
science

Randomised Control Trials

Multi-arm study designs with automated allocation, blinding controls, dosage tracking, and protocol deviation monitoring — straight out of the box.

Up to 16 arms per study
World-first

AI-optimised
intervention grouping.

Contextual bandit algorithms re-assign participants to intervention arms in real time, optimising outcomes as data accumulates. The same platform that delivered world's first AI-enhanced adaptive trial Vibe Up, published in JAMA Network Open.

See it in action arrow_forward
Adaptive allocation
Trial week 6 of 12
LIVE
Arm A · Mindfulness 42%
Arm B · Activity 34%
Arm C · Sleep 18%
Arm D · Control 6%
auto_awesome Reallocating every 24h based on engagement & outcome signals
How it works

From protocol to publication, in one workflow

Conductor moves with the rhythm of real research — four phases, every one of them instrumented, audited, and ready for ethics review.

01
edit_note

Design your protocol

Compose study arms, instruments, and timing in a visual editor. Validated questionnaires, custom tasks, and consent forms live in one schema.

02
group_add

Recruit & consent

Push studies to iOS and Android with branded onboarding, eligibility screening, and configurable consent flows — anonymous or PII-registered.

03
network_intelligence

Collect adaptively

Surveys, mini-games, and passive sensors stream into the platform. Contextual bandits re-allocate interventions as data arrives.

04
analytics

Analyse & publish

Export full datasets to R, Python, or REDCap. Built-in dashboards and audit trails keep findings reproducible and peer-review-ready.

In the Wild

Research powered by Conductor

Real-world studies demonstrating the platform's capacity for large-scale, adaptive digital health trials.

psychology
MENTAL HEALTH RCT

Vibe Up

A mental health and wellbeing app for university students, delivering personalised physical activity, mindfulness, and sleep interventions. The world's first AI-optimised adaptive intervention trial, with outcomes published in JAMA Network Open.

0+
Students enrolled
JAMA
Network Open
Live in store
Vibe Up app screenshot showing the Pickle character mini-game
family_restroom For families
Daily Growth Active Play principles screen Daily Growth dashboard with surveys
eco
EARLY EDUCATION COMMUNITY

Daily Growth

An evidence-based parenting support app supporting early childhood development research. Delivers daily activities, tracks developmental milestones, and enables large-scale community research in partnership with local government.

Deakin
University
Geelong
Council
Wyndham
Council
Published research

Peer-reviewed outcomes

Studies running on Conductor have produced rigorous, citable findings across mental health, education, and digital phenotyping.

View all publications north_east
JAMA Network Open
2025

Effectiveness of an AI-Optimised Adaptive Multicomponent Mental Health App in University Students

groups 1,282 participants RCT
Read paper arrow_forward
npj Digital Medicine
2025

Digital Phenotyping for Sleep Quality Estimation in Free-Living Conditions

monitor_heart Passive sensing Longitudinal
JMIR Pediatrics & Parenting
2025

A Community Co-Designed Parenting App for Early Childhood Development: Daily Growth Feasibility Study

eco Community Mixed methods
Read paper arrow_forward
Researcher voices

Built around the way researchers actually work

format_quote
Conductor let us launch a fully adaptive, multi-arm trial in a fraction of the time it would have taken with a traditional EDC. The audit trail was ethics-ready out of the box.
SC
Dr. Sarah Chen
Principal Investigator, Sleep Quality Study · Deakin
format_quote
We needed something that could speak to parents, satisfy two local councils, and still produce data we could publish. Conductor managed all three without compromise.
MO
A/Prof. Maya Okafor
Lead Researcher, Daily Growth · A2I2
Resources

Read how teams use Conductor

Case studies and method write-ups from teams running rigorous digital studies on the platform.

Case study
psychology

Designing an AI-optimised RCT: Lessons from Vibe Up

How the team modelled 16 intervention arms with contextual bandits — and what the ethics board needed.

Read story arrow_forward
Case study
eco

Recruiting through councils: Daily Growth's community model

How a council-led recruitment funnel reached parents at scale without sacrificing methodological rigour.

Read story arrow_forward
Method note
monitor_heart

Validating passive sleep estimates against polysomnography

A reproducible workflow for benchmarking smartphone-derived sleep metrics against gold-standard sleep lab data.

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Research Areas

Built for diverse research domains

Conductor's flexible architecture adapts to the methodological requirements across a broad range of research disciplines.

psychology
Mental Health
RCTs · adaptive
eco
Early Education
Cohort · families
elderly
Aged Care
Longitudinal
monitor_heart
Digital Health
Phenotyping
science
Cognitive Science
Tasks · timing
groups
Community Wellbeing
Council-led
About

Built by researchers, for researchers

Conductor is developed and maintained by the Applied Artificial Intelligence Initiative (A2I2) at Deakin University. Our team combines expertise in machine learning, clinical psychology, software engineering, and human-computer interaction to build research infrastructure that meets the rigorous standards of peer-reviewed science.

Every feature in Conductor has been shaped by real research needs — from randomised control trials to longitudinal cohort studies — ensuring the platform evolves alongside the research it supports.

Visit A2I2 at Deakin University north_east
A2I2
Applied Artificial Intelligence Initiative
Deakin University
"Translating AI research into real-world impact"
a2i2.deakin.edu.au north_east
FAQ

Questions teams ask before they pilot

Don't see what you're looking for? Talk to our team.

Where is participant data hosted? expand_more
All data is stored on sovereign Australian infrastructure (GCP australia-southeast1 by default). Hosting region can be configured per study, with full audit logging and encryption at rest and in transit.
Can we build custom instruments and tasks? expand_more
Absolutely. Conductor ships with validated instruments (PHQ-9, GAD-7, ISI and many more) and lets teams compose new ones — from simple Likert items to fully gamified cognitive tasks — without engineering support.
How does Conductor support ethics submissions? expand_more
Every study generates an exportable protocol document, consent flow preview, and data-handling summary aligned to HREC and most IRB templates. Audit trails of protocol changes are versioned and ethics-ready.
What support do research teams get? expand_more
Every active study is supported by A2I2 engineers and methodologists — onboarding workshops, protocol review, instrument validation, and on-call support during recruitment windows.
Is Conductor open to non-Deakin researchers? expand_more
Yes. While Conductor is developed at Deakin University's A2I2, the platform is available to external research teams — academic and industry — under collaborative or licensing arrangements.
Get Started

Ready to run your next study on Conductor?

Tell us about your research goals and we'll get back to you to discuss how Conductor can support your study.

verified
Ethics-ready by default
Built to meet HREC and IRB submission requirements.
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Sovereign data hosting
Australian-hosted infrastructure with full audit trails.
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Embedded research support
Direct access to A2I2 engineers and methodologists.
 

We typically respond within two business days.