Monthly Archives: February 2021

NERDS paper out: How unique is your app fingerprint?

We have a new exciting paper out: Temporal and cultural limits of privacy in smartphone app usage by Vedran Sekara et al. published in Nature Scientific Reports, asking:

How unique is your app fingerprint?The paper looks into which apps people use and creates app-fingerprints for 3.5 million individuals. Similar to forensic science where you need 12 points to distinguish between fingerprints we ask how many apps do we need to distinguish between two users? We find people’s smartphone app behavior is very unique and 3 apps are enough to identify more than 90% of all individuals. But app-fingerprints change over time and are different between countries. We find that people have more unique app-fingerprints during summer because we use more unique apps, and Americans have the most unique fingerprints (need the fewest apps to identify them) while Finns are the least unique (need more apps to identify their fingerprint). Why is this important? Because the work highlights problems with current policies intended to protect user privacy and emphasizes that policies cannot directly be ported between countries.

Open Positions

With NERDS winning grants and growing, we have added a Positions page at https://nerds.itu.dk/positions/, currently featuring 2 open calls at ITU that are directly relevant to us as they can lead to NERDS positions. If your research overlaps with ours and you are interested get in touch!

1) PhD Open Call 2021

The ITU-wide PhD Open Call 2021, deadline March 10th, features 2 potential PhD projects by NERDS members:
1) Michael: Network analysis of urban transport networks for a green transition from car- centricity to cycling
2) Michele+Luca: Modelling Complex Social Systems to Handle Disinformation

2) Asst./Assoc. Professor in data science and machine learning

This computer science department wide call, deadline March 29th, is looking for applicants in any of these areas, including NERDS topics:

  • Data mining, large-scale data analysis, data visualization
  • Machine learning
  • Natural language processing
  • Network science, analysis of large (social and other) networks
  • Bioinformatics
  • Computer vision, signal analysis
  • Computational social science
  • Fairness and accountability in data science and machine learning
  • Statistics, computational statistics, probabilistic modelling

Watch this space and stay tuned for more. 🤓

International Day of Women and Girls in Science 2021

On yesterday’s International Day of Women and Girls in Science, Roberta took part in a corresponding event organized by her alma mater, University of Catania, Dipartimento di Fisica e Astronomia “Ettore Majorana”, delivering a keynote talk on the topic and on her research.

The event was in Italian, it can be watched here:

Link to event: https://www.dfa.unict.it/it/content/international-day-women-and-girls-science-2021

 

Luca Maria Aiello has joined NERDS

We are thrilled to welcome Luca Maria Aiello to our research group!

Luca joins us as Associate Professor, coming from industry. He conducts interdisciplinary research at the intersection of computational social science, digital health, network science, and urban informatics, using large-scale digital data to quantify people’s well-being and build systems that can improve it. Currently, he is focusing on Natural Language Processing to quantify social and psychological experiences from text.

He had a few past professional roles: Senior Research Scientist at Bell Labs in Cambridge, UK; Research Fellow of the ISI Foundation in Turin; Research Scientist at Yahoo Labs Barcelona and London; visiting scientist at the Center for Complex Networks and Systems at Indiana University.

Check out Luca’s cool Webpage and find him on Twitter.