Assistante
Chloe Satinet is currently a PhD candidate and teaching asssitant in the OIS Departement of the UCLouvain.
Diploma:
| Year | Label | Institution |
| 2019 - ... | PhD candidate in Management sciences | UCLouvain |
| 2017 - 2019 | Master in Business analytics and Marketing | UCLouvain FUCaM Mons |
| 2014 - 2017 | Bachelor in Business Engineering | UCLouvain FUCaM Mons |
Chloe Satinet is a teaching assistant at UCLouvain FUCaM Mons for the courses:
| Séminaire de travail universitaire disciplinaire | MSHUM118 |
| Séminaire de gestion | MGEST1107 |
| Projet de développement professionnel | MGEST1329 |
| Machine learning | MLSMM2154 |
| Recommender systems | MLSMM2156 |
| Informatique de gestion | MQANT1109 |
| Informatique et algorithmique | MQANT1201 |
| Mathématiques de gestion 1 | MQANT1110 |
| Mathématiques de gestion 2 | MQANT1227 |
Chloe Satinet research interests include technologies, marketing and sustainability. She is more particularly interested in the societal impact of technologies and in the use of technologies to encourage a more sustainable and responsible consumption.
Satinet, Chloé ; Fouss, François ; Saerens, Marco ; Leleux, Pierre. In-processing and post-processing strategies for balancing accuracy and sustainability in product recommendations. In: Electronic Commerce Research and Applications, (2024). doi:10.1016/j.elerap.2024.101433.
Satinet, Chloé ; Fouss, François. A Supervised Machine Learning Classification Framework for Clothing Products’ Sustainability. In: Sustainability, Vol. 14, no. 3 (2022). doi:10.3390/su14031334.
Satinet, Chloé ; Fouss, François ; Saerens, Marco ; Leleux, Pierre. In-Processing and Post-Processing Strategies for Balancing Accuracy and Sustainability in Product Recommendations. 1st Interdisciplinary Conference on Management, Information Technology and Computer Sciences (Lille, France, du 25/05/2023 au 26/05/2023).
Satinet, Chloé ; Fouss, François. A Supervised Machine Learning Classification Framework for Clothing Products’ Sustainability. Conférence sur la recherche interdisciplinaire et transdisciplinaire « Transition et Développement durable ». (Louvain-la-Neuve, 26/11/2021).
Satinet, Chloé ; Ducarroz, Caroline ; Fouss, François. Understanding the impact of sustainability-oriented recommender systems on consumers’ choices (Louvain Research Institute in Management and Organizations Working Paper Series; ), 2024.
Satinet, Chloé ; Fouss, François ; Saerens, Marco ; Leleux, Pierre. In-Processing and Post-Processing Strategies for Balancing Accuracy and Sustainability in Product Recommendations (Louvain Research Institute in Management and Organizations Working Paper Series; ), 2023.
Satinet, Chloé ; Fouss, François. A Supervised Machine Learning Classification Framework for Assessing the Sustainability of Clothing Products (Louvain Research Institute in Management and Organizations Working Paper Series), 2022.
Satinet, Chloé ; Fouss, François. An aggregated model assessing the risk of job automation – Application to Belgian employment data (Louvain Research Institute in Management and Organizations Working Paper Series; 2021/03), 2021. 12 p.
