13 citations · 41 across the 8 of their papers we have counts for
10 papers
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…