A. (Alessandro) Bozzon
A. (Alessandro) Bozzon
Profiel
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.
Publicaties
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2024
Amalur
Data Integration Meets Machine Learning
Ziyu Li / Wenbo Sun / Danning Zhan / Yan Kang / Lydia Chen / Alessandro Bozzon / Rihan Hai -
2024
Bridging or separating? Co-accessibility as a measure of potential place-based encounters
V. Milias / A. Psyllidis / A. Bozzon
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2024
Children’s access to urban greenspace
a survey of factors and measures
Roos Teeuwen / Alessandro Bozzon / Achilleas Psyllidis -
2024
Crowdsourcing the influence of physical features on the likely use of public open spaces
Vasileios Milias / Roos Teeuwen / Alessandro Bozzon / Achilleas Psyllidis
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2024
Embedding caring into remote patient management systems
Céline Offerman / Jacky Bourgeois / Alessandro Bozzon
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Onderwijs 2024
Onderwijs 2023
Media
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2024-02-15
Hoe AI helpt bij het opschalen van integrale zorgpaden
Verscheen in: ICT&Health
Prijzen
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2024-4-11
CTwalk Map: Best Demo Award
CTwalk Map is an interactive web tool that unveils the potential of social encounters and access inequities in urban neighborhoods by leveraging open-access data. Drawing on information from various open sources, including population, location, and pedestrian network data, the tool estimates the number of individuals across different age groups who can reach city destinations within a 5 or 15-minute walk, highlighting opportunities for social cohesion and disparities in access.
ICT.Open 2024 -
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
Nevenwerkzaamheden
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2024-01-01 - 2024-12-31