347 citations · 565 across the 16 of their papers we have counts for
16 papers
Mitigating Disease Spread by Design in Refugee and IDP Camps
Giulia Zarpellon, Joseph Aylett-Bullock, Frank Krauss +1
Disease spread represents an increasing challenge in refugee and internally displaced person (IDP) settlements. The movement and interaction of people within camps is influenced by…
Multi-AI Complex Systems in Humanitarian Response
Joseph Aylett-Bullock, Miguel Luengo-Oroz
AI is being increasingly used to aid response efforts to humanitarian emergencies at multiple levels of decision-making. Such AI systems are generally understood to be stand-alone…
Predictive modeling of movements of refugees and internally displaced people: Towards a computational framework
Katherine Hoffmann Pham, Miguel Luengo-Oroz
Predicting forced displacement is an important undertaking of many humanitarian aid agencies, which must anticipate flows in advance in order to provide vulnerable refugees and Int…
Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19
Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam +2
Natural language processing (NLP) plays a significant role in tools for the COVID-19 pandemic response, from detecting misinformation on social media to helping to provide accurate…
Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19
Alexandra Luccioni, Joseph Bullock, Katherine Hoffmann Pham +2
The COVID-19 pandemic has been a major challenge to humanity, with 12.7 million confirmed cases as of July 13th, 2020 [1]. In previous work, we described how Artificial Intelligenc…
From plague to coronavirus: On the value of ship traffic data for epidemic modeling
Katherine Hoffmann Pham, Miguel Luengo-Oroz
In addition to moving people and goods, ships can spread disease. Ship traffic may complement air traffic as a source of import risk, and cruise ships - with large passenger volume…
Mapping the Landscape of Artificial Intelligence Applications against COVID-19
Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham +2
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million confirmed cases as of August…
PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts
Tomaz Logar, Joseph Bullock, Edoardo Nemni +3
Humanitarian response to natural disasters and conflicts can be assisted by satellite image analysis. In a humanitarian context, very specific satellite image analysis tasks must b…
Solidarity should be a core ethical principle of Artificial Intelligence
Miguel Luengo-Oroz
Solidarity is one of the fundamental values at the heart of the construction of peaceful societies and present in more than one third of world's constitutions. Still, solidarity is…
Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts
Joseph Bullock, Miguel Luengo-Oroz
Automated text generation has been applied broadly in many domains such as marketing and robotics, and used to create chatbots, product reviews and write poetry. The ability to syn…
Mobility profiles and calendars for food security and livelihoods analysis
Pedro J. Zufiria, David Pastor-Escuredo, Luis Ubeda Medina +7
Social vulnerability is defined as the capacity of individuals and social groups to respond to any external stress placed on their livelihoods and wellbeing. Mobility and migration…
Measuring Economic Resilience to Natural Disasters with Big Economic Transaction Data
Elena Alfaro Martinez, Maria Hernandez Rubio, Roberto Maestre Martinez +5
This research explores the potential to analyze bank card payments and ATM cash withdrawals in order to map and quantify how people are impacted by and recover from natural disaste…
The International Postal Network and Other Global Flows As Proxies for National Wellbeing
Desislava Hristova, Alex Rutherford, Jose Anson +2
The digital exhaust left by flows of physical and digital commodities provides a rich measure of the nature, strength and significance of relationships between countries in the glo…
Can Fires, Night Lights, and Mobile Phones reveal behavioral fingerprints useful for Development?
David Pastor-Escuredo, Thierry Savy, Miguel A. Luengo-Oroz
Fires, lights at night and mobile phone activity have been separately used as proxy indicators of human activity with high potential for measuring human development. In this prelim…
Flooding through the lens of mobile phone activity
David Pastor-Escuredo, Alfredo Morales-Guzmán, Yolanda Torres-Fernández +10
Natural disasters affect hundreds of millions of people worldwide every year. Emergency response efforts depend upon the availability of timely information, such as information con…
Estimating Food Consumption and Poverty Indices with Mobile Phone Data
Adeline Decuyper, Alex Rutherford, Amit Wadhwa +5
Recent studies have shown the value of mobile phone data to tackle problems related to economic development and humanitarian action. In this research, we assess the suitability of…