Effort
+24%
How a person pursues goals and recovers from setbacks.
Behavioral Twins for
Mental Health Research
Mores creates longitudinal behavioural twins by tracking an individual's behavioural intent for diagnostic research in mental health.
Supported by Top Institutions
[Observation]
Mental health assessment still relies on snapshots: a clinic visit, a questionnaire, a person’s recollection. Mores builds behavioral twins over months instead of minutes, from consented signals checked against clinical assessment and published method-first.
A single moment
- Questionnaire responses
- Clinical visits
- Self-reported behavior
- A snapshot in time
A continuous layer
- Observed actions
- Consented behavioral signals
- Clinical assessment checks
- Evolving behavioral twins
[Signals]
Behavior, Measured Over Time
Behavioral twins are anchored to established constructs: effort, flexibility, exploration and social approach. Claims follow validation.
Flexibility
−18%
How behavior changes when goals or conditions change.
Social approach
+12%
How a person connects with others across contexts.
[Research]
Many Sources. One Behavioral Twin.
Structured tasks, digital environments, and clinician and family reports contribute to a longitudinal representation. Sources must agree before a signal counts.
Our First Instrument
A structured interactive environment with controlled goals and setbacks, used to calibrate other sources of measurement.
- Controlled goals
- Structured setbacks
- Observed responses
- Derived behavioral signals
- Cross-source calibration
Consented Measurement
Nothing enters a twin without consent. Only derived signals ever leave their source.
ConsentDerived signalsSource agreement
Generate a structured report from recent sessions
Behavioral Markers
Observed behavior is anchored to effort, flexibility, exploration and social approach, then checked across sources.
The Behavioral Twin
A living model of how someone pursues goals, recovers from setbacks, explores and connects with others.
[Process]
Method First. Claims After Validation.
We publish our questions, preregister studies and report what fails. Measurement earns its place through validation.
- Step 01
Consent
Begin with consented, low-effort measurement.
- Step 02
Measure
Derive signals from carefully designed instruments.
- Step 03
Validate
Check agreement across sources and clinical assessment.
- Step 04
Publish
Share methods, findings and failures before making claims.
[Boundaries]
Evidence for Diagnostic Research
We ask whether everyday behavior, carefully measured over time, can become reliable evidence for diagnosis.
Validation Before Claims
Behavioral markers are research evidence to validate, not standalone diagnoses.
Built for
Research
Diagnostic research, not a diagnostic platform.
First research focus
Young people
Pediatric and young-adult behavioral health, where diagnosis comes late and care is episodic.
Built for All Ages
The platform is built for all ages, starting with children and young people.
Research Pilots
Working with parents, clinicians, schools, governments and researchers.
Mores does not diagnose or treat any condition.
[Collaboration]
Research in the Open
We publish questions, preregister studies and report what fails. Each twin is checked against clinical assessment; each claim must be validated.
CommunityJoined Mores
ParticipantsConsented & opt-in
Researchers, clinicians and participants are joining Mores to make behavior measurable.
Consented measurement. Transparent research.
In clinic I see a patient for fifteen minutes and rely on what they remember. Seeing how someone's behaviour actually shifts across weeks gives me a far better starting point for that conversation.
Very simple to use. A few minutes a day and I could see my own patterns for the first time.
The weekly summaries are honestly the best part. I noticed I pull away from people when work gets heavy, something I had never put into words before.
As someone who works with data, I appreciate that they measure behaviour over months instead of taking one snapshot and calling it a conclusion.
Felt like a game at first, then I realised how much thought went into each task. Really interesting work.
I joined thinking it would be another survey app. It isn't. The tasks are short, and I was surprised how much they picked up about the way I handle pressure.
What I liked most is that they explained exactly what is collected and why. I never once felt my data was being taken from me.
Good team, very clear about what they are doing. Happy to be part of this research.
Took part along with my family. Everyone found it easy, even my father who rarely uses apps.
Mental health research in India needs more efforts like this. Glad I signed up.
Follow Mores Research
Updates on behavioral twins, measurement methods and diagnostic research in mental health.
[FAQ]
About the Research
Mores Research builds behavioral twins: consented, longitudinal models of how a person behaves, to make behavior measurable for diagnostic research in mental health.
A living, longitudinal model of how someone pursues goals, recovers from setbacks, explores and connects with others. It is built over months, anchored to established behavioral constructs and checked against clinical assessment.
Our first focus is pediatric and young-adult behavioral health, where diagnosis often comes late and care is episodic. The platform is built for all ages.
Structured tasks, the digital places people already use, and clinician and family reports can contribute. Sources must agree before a signal counts. Nothing enters a twin without consent, and only derived signals leave their source.
No. Mores is a research lab investigating reliable measurement for diagnostic research. We make claims only after validation; the program does not diagnose or treat conditions.
It is our first instrument: a structured interactive environment where goals and setbacks are controlled. This helps calibrate other sources of behavioral measurement. It is an instrument, not the identity of Mores.
[Get started]
Advance Behavioral Twin Research
Connect with Mores to discuss research pilots, measurement instruments and validation against clinical assessment.