João Fonseca worked as a Research Intern at NYU during spring 2023, advised by Professor Julia Stoyanovich and working closely with Andrew Bell and Venetia Pliatsika, with whom he continues to collaborate. He completed his Ph.D. and is an Invited Assistant Professor at NOVA Information Management School (Lisbon, Portugal). João Fonseca’s work aims to answer open questions on algorithmic recourse, Explainable AI, and Synthetic Data Generation.
João likes to play guitar, padel tennis, bouldering and surfing.
Selected publications
Setting the Right Expectations: Algorithmic Recourse Over Time
João Fonseca, Andrew Bell, Carlo Abrate, Francesco Bonchi, and Julia Stoyanovich
In Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2023, Boston, MA, USA, 30 October 2023 - 1 November 2023 2023
@inproceedings{DBLP:conf/eaamo/FonsecaBABS23,author={Fonseca, Jo{\~{a}}o and Bell, Andrew and Abrate, Carlo and Bonchi, Francesco and Stoyanovich, Julia},title={Setting the Right Expectations: Algorithmic Recourse Over Time},booktitle={Proceedings of the 3rd {ACM} Conference on Equity and Access in Algorithms,
Mechanisms, and Optimization, {EAAMO} 2023, Boston, MA, USA, 30 October
2023 - 1 November 2023},pages={29:1--29:11},publisher={{ACM}},year={2023},url={https://doi.org/10.1145/3617694.3623251},doi={10.1145/3617694.3623251},timestamp={Thu, 09 Nov 2023 21:12:58 +0100},biburl={https://dblp.org/rec/conf/eaamo/FonsecaBABS23.bib},bibsource={dblp computer science bibliography, https://dblp.org},keywords={conference, fairness},}
