WP5
The Netherlands Institute for Sound and Vision
Data processing; linked open data; Jupyter notebooks
Mari Wigham <>
Mari Wigham is a software developer at the Netherlands Institute for Sound and Vision, working on innovative ways of helping scientific researchers to work with the archive. She studied electronic engineering, and has spent her career working in applied research institutes, on projects ranging from virtual avatars to make television accessible to deaf people, to personalised food advice for helping people make healthier choices. Her current work at Sound and Vision and CLARIAH combines her experience in the media with her knowledge of semantic technology, to unlock media archives for researchers and provide them with new insights from the data.
WP5 liliana melgar-estrada
Utrecht University; The Netherlands Institute for Sound and Vision
user studies, annotation, crowdsourcing, gebruikersonderzoek
https://www.uu.nl/staff/LMMelgarEstrada

PhD in Information Science. Liliana’s main responsibility in CLARIAH WP5 is to collect researchers’ needs and requirements, systematize use cases, and conduct user studies with media scholars for providing requirements and evaluating continuous development of the media suite.

  WP5 Martijn vd Donk
  Nederlands Instituut voor Beeld en Geluid
  Cloud infrastructure, DevOps
   
 
 

Voor CLARIAH WP5 maak ik deel uit van het team dat de audiovisuele infrastructuur van Beeld&Geluid opzet. Met een achtergrond in DevOps, Cloud Engineering en digitale infrastructuur, richt ik me op het creëren en ontwikkelen van op maat gemaakte oplossingen ter ondersteuning van data en processen binnen een robuuste infrastructuur.

WP5 willem melder
Netherlands Institute for Sound and Vision
  Linked data; Collections; Speech recognition; Audiovisual data
http://www.beeldengeluid.nl/kennis/experts/willem-melder

For CLARIAH WP5 I am part of the team that sets up the audiovisual infrastructure at NISV. With a background in artificial intelligence and speech technology I’m focusing on automatic processing of audiovisual data and making it better accessible within a robust infrastructure. For NISV I am also participating within NDE in the workgroup Architecture, aiming to make digital heritage better interoperable and accessible for users.

 

WP5 Nanne van Noord
UvA, Nederlands Instituut voor Beeld en Geluid
Computer vision; Digital humanities; Machine learning
https://nanne.github.io/

Binnen CLARIAH WP5 werk ik aan het vergroten van de toegankelijkheid en vindbaarheid van audiovisueel materiaal door het toepassen en ontwikkelen van computer vision algoritmes.