The COST Action Distant Reading for European Literary History is issuing a Call for Applications for its third Training School, hosted by the Centre for Digital Humanities – Eötvös Loránd University in Budapest from September 23 to 25, and co-located with the DH_Budapest 2019 conference http://elte-dh.hu/conf2019/

Note that participation is free of charge! Applicants may apply for one of the grants for participation in one of the 3 parallel tracks: 
TRACK 1: Corpus design and text contribution for ELTeC
TRACK 2: Natural Language Processing for Distant Reading 
TRACK 3: Canonization in Distant Reading Research  

To apply, please see the information and instructions in the full Call for Applications. Applications will be sent to Roxana Patras (roxanapatras82@gmail.com) and Christof Schöch (schoech@uni-trier.de) before June 25th, 2019. In case you have questions regarding the call, the application process or the Training School, please contact Roxana Patras, the Action’s Training School Coordinator (roxanapatras82@gmail.com).

Beside the participation in one of the 3 parallel tracks, there are also opportunities for all Training School participants to register for and participate in the DH_BUDAPEST 2019 conference, held in Budapest and directly following the Training School, from September 25 to 27, 2019! Information will be available on the conference page http://elte-dh.hu/conf2019/ca_ts/.

More details regarding the programme of the Training School are forthcoming. Please watch the page dedicated to the Training School on the Action’s website at: https://www.distant-reading.net/events/budapest-training/.
Please feel free to disseminate this message within your own research communities. Early Career Investigators (ECI) from Inclusiveness Target Countries (ITC) (http://www.cost.eu/about_cost/strategy/excellence-inclusiveness) are strongly encouraged to apply!

Action members Mike Kestemont (University of Antwerp) and Maciej Eder (Polish Academy of Sciences) are happy to report that they have recently secured funding for a three-year, collaborative research project, following a joint call of the Research agency of Flanders (FWO) and the Polish Academy of Sciences (PAS). The project can be considered a spin-off of this COST action and, as an academic airbridge between Antwerp and Krakow, it will intensify the already strong ties that exist between various research teams in their respective institutions.

Maciej Eder and Mike Kestemont

The project is entitled ‘Deep Learning in Computational Stylistics.’ In the proposed collaboration, they aim to turn our attention to “deep” representation learning in order to improve computational methods for the robust stylistic analysis of short documents (< 1000 words). Although this technology is nowadays also emerging in Humanities research, it is surprising how (relatively) few applications have been reported so far in the domain of authorship attribution. The few research examples that have been published in this domain focus on micro-blogging data and is hard to extrapolate to longer documents. The researchers propose a three-year collaboration aimed at the introduction and adaptation of deep learning methods to computational stylistics, with an emphasis on author identification. 

Congratulations to Mike and Maciej!