A. (Alessandro) Bozzon
A. (Alessandro) Bozzon
Profile
Alessandro's research lies at the intersection of human-computer interaction, human computation, user modelling, and machine learning. He is interested in developing methods and tools that support the design, development, control, and operation of AI-enabled systems that are well-situated around actual human characteristics, values, intentions, and behaviours. By investigating the relationship between the science and practice of design, and the digital technology that fuels intelligent products, services, and systems, Alessandro and his team study and build novel Human-Centred Artificial Intelligence methods and tools that combine the cognitive and reasoning abilities of (groups of) individuals, with the computational powers of machines, and insights from large amount of heterogeneous data. His scientific work, which consistently resulted in high-quality publications, has always been supported by substantial implementation and demonstration efforts, with emphasis on impact and continuous interaction with stakeholders from both industry and the wider society.
Expertise
Publications
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2024
How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?
R.F.L. Teeuwen / V. Milias / Alessandro Bozzon / A. Psyllidis
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2024
Semantic Web and its Role in Facilitating ICT Data Sharing for the Circular Economy: State of the Art Survey
A.K. Kurteva / K.S. McMahon / A. Bozzon / A.R. Balkenende
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2023
Adopting a child perspective for exposome research on mental health and cognitive development - Conceptualisation and opportunities
Kerstin Persson Waye / Jesper Löve / Peter Lercher / Angel M Dzhambov / Maria Klatte / Dirk Schreckenberg / A. Psyllidis / A. Bozzon / Christin Belke / More Authors
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2023
Are Female Chatbots More Empathic? - Discussing Gendered Conversational Agent through Empathic Design
Ji Youn Jung / Alessandro Bozzon
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2023
Disentangling Fairness Perceptions in Algorithmic Decision-Making
The Effects of Explanations, Human Oversight, and Contestability
M. Yurrita Semperena / Tim Draws / Agathe Balayn / Dave Murray-Rust / Nava Tintarev / Alessandro Bozzon -
Prizes
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2023-11-13
Fellow Netherlands Academy of Engineering
Elk jaar vanaf 2024 selecteert het NAE jaarlijks maximaal 10 nieuwe Fellows.
In 2023 – het eerste jaar van zijn bestaan – zal NAE van start gaan met in totaal 55 nieuwe Fellows, aanvullend op de Fellows die het huidige oprichtingsbestuur vormen.
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2023-4
Best paper award at CHI 2023
The paper "Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability" received the best paper award at the 2023 ACM CHI Conference on Human Factors in Computing Systems
2023 CHI Conference on Human Factors in Computing Systems -
2017-9
IBM 2017 Faculty Award
Alessandro Bozzon has been selected for the 2017 IBM Faculty Award, in the section Cognitive Computing and IoT, for his work on Enterprise Crowdsourcing. The work has been performed in collaboration with the IBM Benelux Center for Advanced Studies. The IBM Faculty Award is a competitive worldwide program intended to foster collaboration between researchers at leading universities worldwide and those in IBM research.
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2017-7-7
Douglas Engelbart Best Paper Award at HT 2017
28th ACM Conference on Hypertext and Social Media, HT 2017 -
2015-5-22
Best Paper Award at Web Science 2015 Workshop
Weaving Relations of Trust in Crowd Work
Ancillary activities
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2024-01-01 - 2024-12-31