Data Science Ph.D. Day 2019

Day One - June 12th 2019

15:00 — Deep-learning based analyses of mammograms to improve the estimation of breast cancer risk
Francesca Lizzi, Data Science Ph.D. student

15:30 — Affective Computing by Multimodal Machine Learning
Benedetta Iavarone, Data Science Ph.D. student

16:00 — Developing a multi-layer framework for social policy evaluation. An Italian case study: the Citizens’ Income
Giovanni Tonutti, Data Science Ph.D. student

16:30 — Using data science to uncover cognitive constraints in human behavior beyond social interactions 
Kilian Ollivier, Data Science Ph.D. student

17:00 — Discussion and networking with refreshments

Day Two - June 14th 2019

15:00 — Unveiling the underlying mechanisms for the conservation of biodiversity and ecosystem services inside Mexican Protected Areas using Machine Learning
Ivan Alejandro Ortiz-Rodríguez, Data Science Ph.D. student
     
15:30 — How can ensemble non-equivalence affect data compressibility, reconstruction and pattern detection?
Andrea Somazzi, Data Science Ph.D. student
      
16:00 — Robust and transparent long short-term memory (LSTM) machine learning for time series prediction
German Rodikov, Data Science Ph.D. student

16:30 — Analysis and reconstruction of microscopic production networks
Leonardo Niccolò Ialongo, Data Science Ph.D. student

17:00 — Individual human mobility modeling and prediction
Agnese Bonavita, Data Science Ph.D. student

17:30 — Discussion and networking with refreshments