GLAM Technical Meetup #2 : Practical applications of Machine learning
Details
For the second GLAM meeting, we want to talk about Machine Learning (ML) in our field. The application of ML grows fast and will help us to do more boring work with fewer human interactions. For sure, there are drawbacks and legit criticisms toward ML. We do not believe it will solve all our problems and make human expertise obsolete. But there are problems we can solve with ML. We will host three talks from experts with practical experience in the field. After the presentations, we can discuss the potential and dangers of ML.
Talks & speakers :
🎤 Laura Rettig, SWITCH, Research Data Connectome
The Research Data Connectome will increase the findability, interoperability and reusability of open data and its impact on scholarly research and citizen science. By connecting data and service providers, this new research infrastructure contributes to the realisation of the Swiss National Open Research Data Strategy. It uses Machine Learning in many sub-projects, for example for Named-entity Recognition
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🎤 Dr. Tarun Chadha, ID Service ETHZ, next level Access e-periodica
E-Periodica Next Level Access enables the visualisation and interlinking of people's names contained in the journals available through E-Periodica. It is an innovative but still experimental prototype based on machine learning.
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🎤 Markus Stauffiger, 4eyes, Latest research meets client requirements: Machine Learning based multimedia information retrieval used in archives.
From heaps of hard to manage multimedia content to in-depth indexed and easy accessible GLAM collections: Making the research project vitrivr accessible & usable for GLAM organizations.
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Then it will be open for discussion 🗣️ on the topic with a small apero 🥂🍪
Schedule :
19h15-20h15 Talks
20h15-21h15 Discussion and apero
Main language of the event, will be used in the talks : English
Other languages : Participants can speak German or French if they would like.
Please register if you would like to participate, so that we know how many people we should expect.
Sponsor of this meetup : arbim IT