ADS Funds Research Assistant Projects
Title: Exploiting free text in patient records to derive healthcare quality indicators
Project Leaders: Annette ten Teije (VU), Roel Lakmaker (CTcue)
Title: Deep Learning with Optimal Spatial Scale Selection
Project Leaders: Steven Scholte (FMG, UvA), Sander Bohte (CWI)
Title: Medical Information Extraction: from patient dossiers to structured forms
Project Leaders: Evangelos Kanoulas (IvI, UvA),Lydia Mennes (CTcue)
Title: Multimodal evidence of concept drift
Project Leaders: Desmond Elliott (ILLC, UvA), Laura Hollink (CWI)
Title: The RDF Unified Migration Portal
Project Leaders: Rinke Hoekstra and Albert Meroño Peñuela (Computer Science, VU), Auke Rijpma (International Institute of Social History, Amsterdam)
Title: Crowd Management with Social Media
Project Leaders: Kathrin Dentler (Computer Science, VU), Hannes Muhleisen (CWI)
Title: Data Science Driven Journalism
Project Leaders: Maarten Marx (IvI, UvA), Dimitri Tokmetzis (Dagblad De Correspondent, Amsterdam)
Title: Measuring and Improving City Livability
Project Leaders: Wouter Meys (Citizen Data Lab, HvA), Stevan Rudinac and Marcel Worring (IvI, UvA)
From September onwards Amsterdam Data Science will merge media channels with Amsterdam AI. Any online activities you are used to will continue on the Amsterdam AI channels. So please register below to stay up to date!
Amsterdam Data Science is excited to announce the next step in joining forces with Amsterdam AI. Together, we will support Amsterdam’s development as an international hub for Responsible AI.
The UvA Data Science Center is announcing a groundbreaking research program to align artificial intelligence (AI) for the interpretation of video data with human values and ethical principles.