Anna Ridler (b. 1985, UK) is an artist and researcher. She has exhibited at institutions such as the V&A Museum, Ars Electronica, HeK Basel, Impakt and the Barbican Centre and has degrees from the Royal College of Art, Oxford University and University of Arts London. She was a 2018 EMAP fellow and was listed by Artnet as one of nine “pioneering artists” exploring AI’s creative potential. She is interested in working with collections of information, particularly self-generated data sets, to create new and unusual narratives in a variety of mediums, and what happens when things cannot fit into discrete categories. She is currently interested in the intersection of machine learning and nature and what we can learn from history.
Dr. Chris Welty is a Sr. Research Scientist at Google in New York, and an Endowed Professor of Cognitive Systems at the VU University, Amsterdam. His main area of interest is the interaction between structured knowledge (e.g. freebase), unstructured knowledge (e.g. natural language text), and human knowledge (e.g. crowdsourcing). His latest work focuses on understanding the continuous nature of truth in the presence of a diversity of perspectives, and he has been working with the google maps team to better understand user contributions that often disagree.
University of Amsterdam
Julia Noordegraaf is professor of Digital Heritage in the department of Media Studies at the University of Amsterdam. She is director of the Amsterdam Centre for Cultural Heritage and Identity (ACHI), one of the university’s research priority areas, where she leads the digital humanities research program Creative Amsterdam (CREATE) that studies the history of urban creativity using digital data and methods. She also participates as Steering Committee member in the newly established RPA Human(e) AI, which studies the societal implications of AI technology. Noordegraaf’s research focuses on the preservation and reuse of audiovisual and digital heritage. She currently leads research projects on the conservation of digital art (in the Horizon 2020 Marie Curie ITN project NACCA) and on the reuse of digital heritage in data-driven historical research (besides CREATE in the NWO funded project Virtual Interiors as Interfaces for Big Historical Data Research).
Mounia Lalmas is a Director of Research at Spotify, and the Head of Tech Research in User Engagement, where she leads an interdisciplinary team of research scientists in Boston, London, New York and San Francisco, working on personalization and discovery. Mounia also holds an honorary professorship at University College London. Her work focuses on studying user engagement in areas such as native advertising, digital media, social media, search, and now music.