Frédérick MadoreAfrica Multiple Cluster of Excellence · University of Bayreuth
Funding · Volkswagen Foundation
An “Open Up” research project
A collaboration funded by the Volkswagen Foundation, under its Open Up — New Research Spaces for the Humanities and Cultural Studies programme.
The programme's wager
To “open up” is to take the first step into something new and unknown — the call backs small teams to explore entirely new research spaces, complex topics that need more than one perspective.
Start
Autumn 2026
Duration
18 months
Team
Two researchers · two regions
The conceptual stake
Why “peripheries”?
In Islamic studies, sub-Saharan Africa and Central Asia are often treated as marginal
Distant from the “real” Islam of the Middle East
Yet Muslim delegations from Togo and Dahomey (Benin) visited Soviet Central Asia, 1960s–70s — and vice versa
The project challenges the centre–periphery frame itself
A different kind of tie, in the present. In April 2026, Togo's president made the first-ever state visit to Kyrgyzstan — diplomacy and trade now, where the 1960s links were religious.
République Togolaise« Faure Gnassingbé à Bichkek »First Togolese leader to visit Kyrgyzstan · April 2026 · republicoftogo.com ↗AKIpress · BishkekKyrgyzstan and Togo sign accordsEducation, trade, health, digitalisation · 29 Apr 2026 · akipress.org ↗
Aksana Ismailbekova has been at Osh State University, in southern Kyrgyzstan.
The university holds a large collection of Islamic materials
Gathered from local people across the region
Manuscripts, devotional prints, loose-leaf texts
A possibility we'd explore
Scanning these holdings and incorporating them — a third collection, alongside IWAC and the Eisener archive.
Islamic manuscripts and prints collected from local communities · Osh State University, Kyrgyzstan.
02
The approach
AI-driven digital humanities, built across two regions.
How can AI-driven DH methods transform access to and interpretation of these collections — enabling new comparative methods for Islamic discourse across regions?
The project's guiding question.
Innovation 1 / 3
From raw documents to structured data
AI turns scanned, multilingual pages into machine-readable data.
Extracts text from scans — Hausa, Arabic, Cyrillic, Old Tatar
Handles complex layouts that defeat conventional tools
Transcribes audio recordings
Pulls out people, places, dates as structured fields
A dense multi-column newspaper page — the kind of layout conventional OCR breaks on.
Innovation 2 / 3
Queried by AI, not surrendered to it
39 of 43 heritage institutions hit by AI-bot traffic spikes (Weinberg, GLAM-E Lab, 2025); Wikimedia: 65% of its costliest traffic is bots. Read it ↗
Not a choice between unrestricted scraping and a locked repository.
The default is extraction — bots crawl GLAMs, ignoring robots.txt
MCP, a middle layer — auditable, institution-controlled; the data stays put
Yékú's paradox · 2026
Un-digitised, an African archive is invisible to AI; digitised, it's exposed to scraping.
Live demo · the IWAC MCP server
From a plain question to cited sources
A Claude Desktop extension — read-only, ~22 tools, no API key for the core tools.
One real question — the server runs the method live.
Scopes the collection, then searches it in French
Reads the strongest hits in full
Every claim linked back to its IWAC record
Live for the IWAC (West Africa); the same door onto the Eisener estate is the goal.