Lora Aroyo is a Research Scientist at Google, NY currently working on human-labeled data quality . She is best known for her work on CrowdTruth crowdsourcing methodology.
Throughout her career, Lora was a principal investigator of a large number of research projects bringing together methods and tools from human computation, linked (open) data, data science & human-computer interaction with the goal of building hybrid human-AI systems for understanding text, images, and videos with humans-in-the-loop. Her research projects focussing on personalized access to online multimedia have a major impact and established her as a recognized leader in human computation techniques for digital humanities, cultural heritage, and interactive TV.
Prior to joining Google, she worked at the VU University Amsterdam as Full Professor in Computer Science and was Chief Scientist at NY-based startup Tagasauris. She is a four times holder of IBM Faculty Award for her work on CrowdTruth used in adapting the IBM Watson system to the medical domain and in capturing ambiguity in understanding misinformation. She is currently president of the User Modeling Inc, which acts as a steering committee for the UMAP conference series.