167 citations · 203 across the 12 of their papers we have counts for
14 papers
Verifiable Disaster Storylines and Causal Knowledge Graphs: A Citation-Grounded Pipeline from Heterogeneous Humanitarian Sources
Ivan Decostanzi, Michele Ronco, Sergio Consoli +8
Effective humanitarian response depends on the rapid synthesis of heterogeneous, high-volume information sources - a task that routinely exceeds human analytical capacity in the cr…
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…
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…
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…
Towards an Open Global Air Quality Monitoring Platform to Assess Children's Exposure to Air Pollutants in the Light of COVID-19 Lockdowns
Christina Last, Prithviraj Pramanik, Nikita Saini +4
This ongoing work attempts to understand and address the requirements of UNICEF, a leading organization working in children's welfare, where they aim to tackle the problem of air q…
Contact Tracing: Computational Bounds, Limitations and Implications
Quyu Kong, Manuel Garcia-Herranz, Ivan Dotu +1
Contact tracing has been extensively studied from different perspectives in recent years. However, there is no clear indication of why this intervention has proven effective in som…
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…
Twitter as a Source of Global Mobility Patterns for Social Good
Mark Dredze, Manuel García-Herranz, Alex Rutherford +1
Data on human spatial distribution and movement is essential for understanding and analyzing social systems. However existing sources for this data are lacking in various ways; dif…
Inferring Mechanisms for Global Constitutional Progress
Alex Rutherford, Yonatan Lupu, Manuel Cebrian +3
Constitutions help define domestic political orders, but are known to be influenced by two international mechanisms: one that reflects global temporal trends in legal development,…
Enabling Digital Health by Automatic Classification of Short Messages
Muhammad Imran, Patrick Meier, Carlos Castillo +2
In response to the growing HIV/AIDS and other health-related issues, UNICEF through their U-Report platform receives thousands of messages (SMS) every day to provide prevention str…
Social media fingerprints of unemployment
Alejandro Llorente, Manuel Garcia-Herranz, Manuel Cebrian +1
Recent wide-spread adoption of electronic and pervasive technologies has enabled the study of human behavior at an unprecedented level, uncovering universal patterns underlying hum…
Using Friends as Sensors to Detect Global-Scale Contagious Outbreaks
Manuel Garcia-Herranz, Esteban Moro Egido, Manuel Cebrian +2
Recent research has focused on the monitoring of global-scale online data for improved detection of epidemics, mood patterns, movements in the stock market, political revolutions,…