Rate My Professor Elena Simperl

Professor Simperl’s research is at the intersection of artificial intelligence and social computing, spanning knowledge engineering, knowledge graphs, semantic technologies, human and social computation, crowdsourcing, open data, human data interaction, data storytelling, and human-centric AI. She has been recognized in the top 100 most influential scholars in knowledge engineering of the last decade, the Women in AI 2000 ranking, as an ACM Distinguished Member in 2024 for contributions to knowledge engineering, knowledge graphs, and the semantic web, and received a Siemens fellowship in 2023 to advance trustworthy AI. Key publications include “Dataset search: a survey” (2020), “T-REx: A large scale alignment of natural language with knowledge base triples” (2018), “Reusing ontologies on the Semantic Web: A feasibility study” (2009), “CrowdMap: Crowdsourcing Ontology Alignment with Microtasks” (2012), and “An investigation of player motivations in Eyewire, a gamified citizen science project” (2017). She leads projects such as PHAWM on participatory harm auditing for AI systems and Impetus on citizen science platforms. Professor Simperl serves on OpenUK’s AI Advisory Board, delivers public lectures on knowledge graphs and responsible AI, and contributes to initiatives aligning AI with regulation and sustainability.