16
Oct
-
17
Oct
©master1305 - stock.adobe.com
Workshop
MCML Meets Humanities 2023 Workshop
Organized by MCML Researcher Carina Geldhauser
16.10.2023 - 17.10.2023
Hochschule für Philosophie München
Machine learning algorithms and data science techniques are getting increasingly popular among researchers in the humanities („Digital humanities”). In this workshop, we aim to bring together students and young researchers working in mathematics, computer science, the humanities and cultural history, to learn about state-of-the-art tools, both those readily designed with a specific use in the humanities in mind, and novel research, which could have a potential usecase in the digital humanities.
The programme consists of keynote talks on monday and hands-on workshops on tuesday.
Keynotes
Monday schedule
- 11:15 - 11:25 Opening remarks
- 11:30 - 12:30 Massimo Fornasier (TUM, Mathematics)
- 12:30 - 14:00 Lunch
- 14:00 - 15:00 Olga Popovich(TUM, Engineering)
- 15:00 - 15:30 Coffee
- 15:30 - 16:30 Stefan Baums (LMU & BADW, Indian and Tibetan Studies)
- 16:30 - 17:30 Nicola Lercari (LMU, Digital Cultural Heritage)
Workshops
The following four hour intensive workshops are designed for PhD students and postdocs, to learn state-of-the-art tools and methodology for text-based research. Please bring a laptop to the workshop.
Tuesday morning session 8:00 - 12:00
-
Annette von Stockhausen (BBAW)
Room 0.25
Digitale Editionen – ein praktischer Einstieg -
Stephen White (READ project)
Room 0.23
Using AI Models for Ancient Documents
Tuesday afternoon session 13:30 - 17:30
-
Juan Garces (SLUB Dresden)
Room 0.25
Arbeiten mit TEI-XML -
Christina M. Kreinecker(KU Leuven)
Room 0.23
Challenges and Approaches to Editing and Processing New Testament Multilingual Manuscripts
Poster Session
The goal of our meeting is to foster exchange and cross-disciplinary collaborations. We therefore welcome both posters highlighting results and research concepts/experiment design/predata posters from all parts of Digital Humanities, Digital Cultural Heritage and Computational Social Sciences. There is no peer-review process for posters, but a mandatory registration. Please register until 4.10.2023 by email to Carina Geldhauser.
Practical Information
Language of the event
The languages of the event are English and German. The title of the talk/workshop indicates the primary language.
Venue
This workshop is part of the Munich Center for Machine Learning workshop series. It takes place in the building of Hochschule für Philosophie München, Kaulbachstraße 31/33, 80539 München. Both rooms are in Haus 33 (room 0.23 and room 0.25), a sign at the entrance will guide you.
Schedule information
The detailed programme can be found in the event flyer.
Registration
Registration is free of charge, but mandatory if you intend to participate in the coffee break. To register, please write to Heike Köhler.
Information for MCML graduate students
Active participation in the workshop “Using AI Models for Ancient Documents” may count towards your MCML graduate certificate. Please speak to Carina Geldhauser for details.
Organizers
- Carina Geldhauser (MCML, TUM)
- Jan Heilmann (LMU)
We look forward to welcoming you to MCML soon!
Organized by:
Carina Geldhauser TUM Mathematics
Jan Heilmann LMU
Related
©LRZ
Open Lab Day • 05.12.2024 • Leibniz-Rechenzentrum, Boltzmannstraße 1, 85748 Garching bei München
(Re-)Imagine
Students at the LRZ's Centre for Virtual Reality and Visualisation (V2C) will present their projects from this year's VR internship and final theses.
©LRZ
Workshop • 22.11.2024 • LMU Munich (near main building, details tba)
EPIX Workshop
Bringing statisticians, philosophers of science, and other researchers to discuss Open Science and the replication crisis.
©Placidplace - pixabay.com
Bootcamp • 08.11.2024 - 09.11.2024 • LMU Main Building, Kleine Aula and RAW, Herzog-Wilhelm-Str. 15, 80331 Munich
3rd Bootcamp "AI meets Entrepreneurs"
The MCML is co-organizer of this two-part event to shift ML and AI researchers into an entrepreneurial mindset for the third time.
Workshop • 06.11.2024 • online
LRZ AI Training Series
The Big Data & AI team at LRZ offers a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ.
Workshop • 23.10.2024 • online
LRZ AI Training Series
The Big Data & AI team at LRZ offers a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ.