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[caption id="" align="alignright" width="337"] Günter Mühlberger (University of Innsbruck, AT)[/caption]Works as Senior Project Manager of the Digitisation and Digital Preservation group at the Department for German Language and Literature at the University of Innsbruck. He received his Ph.D. for a dissertation on Johann Wolfgang von Goethe (1749-1832). From 1991 to 2002 he worked as a research assistant for German Language and Literature and switched than to the university library as head of department for Digitisation and Digital Preservation. In 2012 he returned to the Department for German Language and Literature and aims now to build up services and tools for the Digital Humanities. Günter Mühlberger was responsible for several national and international projects, e.g. LAURIN (digitization of newspaper clippings, 1998-2000), METADATA ENGINE (structural metadata extraction and OCR for gothic letters, 2000-2003), reUSE (2003-2006, digital preservation), IMPACT (sub-project leader for text Recognition and Enrichment of Archival Documentsrecognition, 2008-2012), Digitisation on Demand / eBooks on Demand (DoD, EOD, 2006-2012), tranScriptorium (work package leader for data management for handwritten text recognition) and EU Newspaper (member of the executive board, OCR processing and enrichment of newspapers). From 2016 onwards he will coordinate the Horizon 2020 Project READ (Recognition and Enrichment of Archival Documents) which will focus on Handwritten Text Recognition and make the technology available via the Transkribus Platform.&#160;  co:op-READ-Convention Marburg - TitleClick here to switch to the „Technology meets Scholarship“ playlist on the co:op YouTube channel.&#160;The READ (Recognition and Enrichment of Archvial Documents) Project started on 1st of January 2016 and will run until summer 2019. It receives 8,2 mill. EUR funding under the H2020 Programme of the European Union. Thirteen partners, mainly universities, archives and companies will collaborate in order to substantially change the way we will be able to access historical document collections in the future.Handwritten Text Recognition, Layout Analysis and Automatic Writer Identification are some of the main fields where the READ project will contribute and provide tools and services for all communities involved in this area. The technology will be made available as Open Source as well via the service platform Transkribus.Download this text as PDF