Research · Community
Shared paradigms. Opt-in norms. No fake member counts.
Open Materials for Arabic-ready tasks, a Norming Exchange that grows regional baselines with consent, and IRB packs that get cheaper for every lab that follows. We are building this — we will not invent usage stats.
Combined · block 5RT logged
تَعاوُن
E · left category I · right category
The long game
Each study should make the next one easier
Three loops: shared Arabic paradigms, opt-in regional norms, and compliance packs that lower IRB friction for the whole institution.
Loop 1
Open Task Exchange
Publish an Arabic-native paradigm; peers fork and adapt it in minutes, with citation lineage back to you preserved automatically.
Loop 2
Data & Norming Exchange
Opt-in sessions on validated stimuli contribute anonymized trial metrics to regional baselines no static dataset can match.
Loop 3
Institutional Compliance Standard
Pre-approved PDPL/IRB kits lower the approval burden for every study that follows, so research offices standardize on Biruni.
Norming Exchange, simply
- You run a study on library stimuli (with participant opt-in).
- Anonymized RTs and accuracy join dialect-aware baselines.
- Those baselines make the next MENA design sharper than a static offline list.
No invented community size. When Open Materials and the Exchange ship, forks and opt-ins will be measurable — until then, this is the design.
Combined · block 5RT logged
تَعاوُن
E · left category I · right category
Bring your next Arabic study to Biruni
We are building with a small group of MENA labs before general availability. If your work needs accurate timing, real Arabic rendering, and in-Kingdom data residency, we want to hear what your study requires.
- What selected groups get
- A complimentary 12-month Lab license: 5 author seats, 2,500 participant tokens, full norms access.
- Who we're looking for
- Research groups in cognitive psychology, linguistics, neuroscience, and education across Saudi Arabia, the UAE, and Qatar.
- What we ask in return
- Run one real study, publish one paradigm to Open Materials, and tell us candidly where we're wrong.