Show & Tell: AI models and training data for journalism use cases

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Show & Tell: AI models and training data for journalism use cases
Call for Applications
Noteworthy
J

When: January 18, 2024
Where: Downtown Munich, Bayerischer Rundfunk (BR)
Hosted by: Bayerischer Rundfunk & TUM
Intended Audience: Researchers (professors, postdocs, PhD candidates) with an interest in AI and/or journalism and AI.

Join us in exploring the intersection of technology and journalism. This workshop focuses on getting to know the projects and methods being used in this exciting interdisciplinary field. And, to discover possible collaborations on use cases and methods. We look forward to connecting researchers in foundations, applications, and data! We explicitly encourage junior researchers to apply.

We want to hear from you if you work falls within one of the following topics:

Language models for text services in journalism
Dialect language model training
Data to Text, Data to Graphics projects
Automated audio fragmentation and tagging
Face recognition in video content for metadata extraction
Image or pattern recognition for investigations, e.g., in satellite imagery

Deadline for registration is December 5, 2023: https://collab.dvb.bayern/x/V5IuDQ

Participants will be selected within two weeks after submission deadline.

If you have any questions, please contact Emmelie Korell at emmelie.korell@tum.de

We look forward to seeing you in January!

TL;DR

Join us in exploring the intersection of technology and journalism. This workshop centers getting to know the projects and methods being used and exploring possible collaborations on use cases and methods. We look forward to connecting researchers in foundations, applications, and data!