Lora Aroyo is a Full Professor in Computer Science. She is leading the User-Centric Data Science Group (UCDS), at the Department of Computer Science, VU University Amsterdam. She is currently also a visiting scholar at Columbia Data Science Institute in New York and a Chief of Science for the NY-based startup Tagasauris. Tagasauris works on machine learning and human-assisted computing strategies to enrich video with precise, meaningful information about its content, and thus improve video search and discovery. She is a three times holder of IBM Faculty Award for her work on CrowdTruth: Crowdsourcing ground truth data for adapting IBM Watson system to the medical domain.
In the last 15 years she has been actively involved in the User Modeling community, and she is the president of UM Inc, which serves as a steering committee for the ACM Conference Series “User Modeling, Adaptation, and Personalization” (UMAP conference series).
She has led a number of research projects that focus on:
- the understanding ambiguity and teaching machines to deal with ambiguity by applying techniques from crowdsourcing and human computation, data science, data quality assessment, and especially hybrid human-AI systems for text and video understanding.
- applying Semantic Web technologies for semantic search, recommendation systems, event-driven access to online multimedia collections, and through these has become a recognized leader in digital humanities, cultural heritage, and interactive TV.
List of current research projects:
- ReTV: Reinventing the TV for the Digital Age: Re-purposing and re-using digital content across Smart TVs, Web and mobile applications, social media and other emerging platforms
- Capturing Bias: Diversity-aware Analysis of Bias in News Videos: models for bias- and diversity-aware accuracy measures for reliable and explainable big data analysis of media collections
- CrowdTruth: human-assisted computing, specifically targeting workflows for the creation of ground truth data
- CLARIAH: Common Lab Research Infrastructure for the Arts and Humanities
- DIVE: Event-centric Exploration of Linked Heritage
List of past research projects:
- Accurator: Annotating Fashion with Nichesourcing
- SealincMedia: Socially-enriched Access to Linked Cultural Media
- ControCurator: discover and understand controversial topics and events
- VISTA-TV: Combining LOD and behavioral information for TV analyses
- PrestoPrime: WAISDA? Crowdsourcing Game for Video Annotation
- NoTube: integration of Web and TV data with the help of semantics
- CHIP: Cultural Heritage Information Personalization
Check also the experimental research facilities in the VU INTERTAIN Lab which I established in 2010.