I am a practioner-researcher working on open innovation and collective intelligence towards the Sustainable and Inner Development Goals.
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Collaborative learning from student forum and phone call data
Reconstruct student interaction network from online and phone call data to predict grades.
Research Unit: Learning Transitions
Learning about transitions & transitions of learning
Quantifying the rise and fall of Scientific Research Fields
Mapping scientific trajectories to uncover the universal patterns behind paradigms
Big data for collective emotion analysis
We leverage large scale data from Youtube and Twitter to analyse the dynamics of collective emotions
The Paleome: a network analysis of dinosaur ecosystems
Reconstructing dinosaur networks from site collection open data to better understand ancestral ecosystems.
Mobility analysis
Analysis of mobility data for social good. Analysis of individual trajectories and global open data of human travels.
The AI network scientist
Classification of graphs using Neural Networks
Social bias in collective knowledge production
Study the decade long discovery of the protein interaction network to measure social bias in knowledge production
iGEM Team Interaction Study: collaboration and performance of iGEM scientific teams
In this project, we study the collaboration patterns of iGEM teams underlying their performance and learning using data-driven social network analyses
Interdisciplinarity and team performance in the iGEM competition
Quantifying how background and skills diversity affect team performance in iGEM teams
ArchaeoEcology: a large-scale investigation of human ecosystems in deep time
This collaboration with Stefani Crabtree aims at investigating the network impact of humans in their ecosystems from archeological sites
Dynamics and structure of collaborations in open-source communities
We study the 27,000 most popular repositories from GitHub to quantify the universal organizational principles behind large-scale self-organized communities.
The gene networks driving ageing
Infer the gene regulatory network changes occuring during ageing and the Smurf transition.
COVID-19 Symptoms Twitter Analysis
Understanding how local tweets about symptoms correlate with case numbers
Recommender systems to enhance collective intelligence for patient-led research
We are investigating how to make it easier for patients to do research together on the questions that matter most to them
