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Where research meets practice

An interdisciplinary lab building evidence-based digital tools for neurodivergent children.

Research Mission

Real-world social situations are often too unpredictable and too fast for neurodivergent children to practise safely. DeepSpectrum Lab investigates how structured digital environments can close that gap. We design and evaluate intervention modules at the intersection of clinical psychology, adaptive AI, and interaction design — developed iteratively with therapists, families, and the children themselves.

Our approach

Every module follows a structured, evidence-based development process — from literature review to user validation.

01

Literature review & needs analysis

We identify relevant constructs from clinical and developmental psychology — such as Theory of Mind, emotion regulation, or executive function — and review the current evidence base for digital interventions.

02

Iterative design with stakeholders

Modules are co-developed with therapists, educators, and families. Prototypes go through multiple feedback cycles before entering implementation.

03

Evaluation & adaptation

Usage data and qualitative feedback inform continuous improvement. We measure learning outcomes against validated assessment instruments where applicable.

What guides our work

Evidence over assumption

We do not guess what works. Every design decision is informed by peer-reviewed research and validated through user feedback.

Accessibility is not optional

Our users are neurodivergent children. Calm interfaces, predictable structure, and sensory sensitivity are built in from the start — not added later.

Transparency & openness

We share our methodology, publish our findings, and welcome external review. Good research requires scrutiny.

Development

From a student research initiative to an evaluated intervention platform.

Alpha
May 2024

Student project

Students from VU Amsterdam and Hochschule Bonn-Rhein-Sieg start developing the idea for an open learning tool.

Q3 2024

Alpha v1

First functional version of the core modules. Internal testing with the founding team and close collaborators.

Q2 2025

Research partnerships

Connecting with researchers from psychology and education. Modules are developed with an evidence-based approach.

Beta
Q1 2026Now

Closed Beta

First therapists and families test the app in daily life. Their feedback flows directly into ongoing development.

Q3 2026

Open Beta

Waitlist members get access. Active user feedback prepares for the full launch.

Launch
Q2 2027

Public launch

DeepSpectrum Lab is available for everyone – free basic access, advanced modules for subscribers.

Team

Psychologists, engineers, educators, and designers – many of us neurodivergent ourselves, united by the same purpose.

MK

Marije Koopmeiners

Project Lead

marije.koopmeiners@deep-spectrum.com
DK

Daniel Kosbab

Technical Lead

daniel.kosbab@deep-spectrum.com
MR

Maya Richter

Psychological Research

maya.richter@deep-spectrum.com
LV

Lena Vogel

Accessible Design & User Research

lena.vogel@deep-spectrum.com
JW

Jonas Weber

AI Research & Adaptive Systems

jonas.weber@deep-spectrum.com
SH

Sophie Hartmann

Pedagogy & Inclusion

sophie.hartmann@deep-spectrum.com

Want to join or collaborate?

We're always looking for psychologists, developers, researchers, and families who want to help shape our tools.