422 citations · 1.2k across the 19 of their papers we have counts for
19 papers
It Takes So Little to Change So Much: Investigating the Robustness of a Danish Voting Advice Algorithm
Giovanni Astante, Roberta Sinatra, Vedran Sekara
Voting Advice Applications (VAA) are tools designed to help voters compare political candidates on policy preferences prior to elections. VAAs are popular tools in European countri…
Data Bias in Human Mobility is a Universal Phenomenon but is Highly Location-specific
Katinka den Nijs, Elisa Omodei, Vedran Sekara
Large-scale human mobility datasets play increasingly critical roles in many algorithmic systems, business processes and policy decisions. Unfortunately there has been little focus…
Predictable Drifts in Collective Cultural Attention: Evidence from Nation-Level Library Takeout Data
Anders Weile, Vedran Sekara
Predicting changes in consumer attention for cultural products, such as books, movies, and songs, is notoriously difficult. Past research suggests intrinsic limits for predicting c…
Future Directions in Human Mobility Science
Luca Pappalardo, Ed Manley, Vedran Sekara +1
We provide a brief review of human mobility science and present three key areas where we expect to see substantial advancements. We start from the mind and discuss the need to bett…
Detecting and Mitigating Bias in Algorithms Used to Disseminate Information in Social Networks
Vedran Sekara, Ivan Dotu, Manuel Cebrian +2
Social connections are conduits through which individuals communicate, information propagates, and diseases spread. Identifying individuals who are more likely to adopt ideas and s…
Uncovering large inconsistencies between machine learning derived gridded settlement datasets
Vedran Sekara, Andrea Martini, Manuel Garcia-Herranz +1
High-resolution human settlement maps provide detailed delineations of where people live and are vital for scientific and practical purposes, such as rapid disaster response, alloc…
Socioeconomic reorganization of communication and mobility networks in response to external shocks
Ludovico Napoli, Vedran Sekara, Manuel García-Herranz +1
Socioeconomic segregation patterns in networks usually evolve gradually, yet they can change abruptly in response to external shocks. The recent COVID-19 pandemic and the subsequen…
Mobility Segregation Dynamics and Residual Isolation During Pandemic Interventions
Rafiazka Millanida Hilman, Manuel García-Herranz, Vedran Sekara +1
External shocks embody an unexpected and disruptive impact on the regular life of people. This was the case during the COVID-19 outbreak that rapidly led to changes in the typical…
Are machine learning technologies ready to be used for humanitarian work and development?
Vedran Sekara, Márton Karsai, Esteban Moro +6
Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to mo…
How Do US Congress Members Advertise Climate Change: An Analysis Of Ads Run On Meta's Platforms
Laurenz Aisenpreis, Gustav Gyrst, Vedran Sekara
Ensuring transparency and integrity in political communication on climate change has arguably never been more important than today. Yet we know little about how politicians focus o…
Biases in human mobility data impact epidemic modeling
Frank Schlosser, Vedran Sekara, Dirk Brockmann +1
Large-scale human mobility data is a key resource in data-driven policy making and across many scientific fields. Most recently, mobility data was extensively used during the COVID…
The Fallibility of Contact-Tracing Apps
Piotr Sapiezynski, Johanna Pruessing, Vedran Sekara
Since the onset of the COVID-19's global spread we have been following the debate around contact tracing apps -- the tech-enabled response to the pandemic. As corporations, academi…
Mobile Phone Data for Children on the Move: Challenges and Opportunities
Vedran Sekara, Elisa Omodei, Laura Healy +5
Today, 95% of the global population has 2G mobile phone coverage and the number of individuals who own a mobile phone is at an all time high. Mobile phones generate rich data on bi…
The Chaperone Effect in Scientific Publishing
Vedran Sekara, Pierre Deville, Sebastian Ahnert +3
Experience plays a critical role in crafting high impact scientific work. This is particularly evident in top multidisciplinary journals, where a scientist is unlikely to appear as…
Temporal Limits of Privacy in Human Behavior
Vedran Sekara, Enys Mones, Håkan Jonsson
Large-scale collection of human behavioral data by companies raises serious privacy concerns. We show that behavior captured in the form of application usage data collected from sm…
SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events
Andrea Cuttone, Per Bækgaard, Vedran Sekara +3
We propose a Bayesian model for extracting sleep patterns from smartphone events. Our method is able to identify individuals' daily sleep periods and their evolution over time, and…
Fundamental structures of dynamic social networks
Vedran Sekara, Arkadiusz Stopczynski, Sune Lehmann
Social systems are in a constant state of flux with dynamics spanning from minute-by-minute changes to patterns present on the timescale of years. Accurate models of social dynamic…
Measuring large-scale social networks with high resolution
Arkadiusz Stopczynski, Vedran Sekara, Piotr Sapiezynski +4
This paper describes the deployment of a large-scale study designed to measure human interactions across a variety of communication channels, with high temporal resolution and span…
The Strength of Friendship Ties in Proximity Sensor Data
Vedran Sekara, Sune Lehmann
Understanding how people interact and socialize is important in many contexts from disease control to urban planning. Datasets that capture this specific aspect of human life have…