NERDS members Roberta and Michael co-organize the second DataBeers event.

Abstract: Recent years have seen an explosive growth in the use of mobile apps on smartphones and tablets. With over 2.7 billion smartphone users across the world checking their phones over 80 times a day, smartphone data offer a unique opportunity to understand main aspects of human behaviors, e.g., mobility, sleep patterns, and mobile app […]

Abstract:  The analysis of complex online information requires the availability of rich data representation models and data analysis algorithms, for example multilayer networks and multilayer network clustering methods. At the same time, data analysis processes often require the ability to store raw data not yet prepared to perform a specific type of analysis, the possibility […]

The first and newest postdoc of NERDS, Tiago Oliveira Cunha, will introduce and discuss his work in a lunch seminar on Friday, Jan 24th, 12:15-13:00 in the 4E wing. Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities The proliferation of online communities has created exciting opportunities to study the mechanisms […]

Luca Aiello, ITU (NERDS): Towards Health Surveillance with Social Media In today’s heavily interconnected world, health crises develop rapidly and spread afar. Health crises burden not only people’s biological health but also their psychological and social spheres. By monitoring the population’s behavior and health conditions, public health bodies can plan prevention campaigns, promptly deploy targeted […]

Project Market for Research Projects for K-CS and K-SD students at ITU

The NERDS seminar continues Wednesday (22/09/2021) with an exciting talk by Helge Pfeiffer, Assistant Professor at ITU, titled: “Everything is Connected - Leveraging Graphs in Software Engineering Research”. Please join us from 12:30-13:30 in person at EHK-2F12 (or via Zoom - regular link - for virtual attendance). The presentation abstract and presenter’s bio are below. […]

Understanding bikeability of urban networks Giulia Reggiani, Delft University of Technology About the author: Giulia Reggiani is ending her PhD in the department of Transport and Planning, Delft University of Technology. Her research in the last 4 years focused on structural properties of bicycle networks worldwide and on data driven methods for assessing bikeability. Her current […]