IEEE Technology and Society Magazine - March 2021 - 79

Over the last decade, as the first data scientist at
the UN, his research has focused on bringing AI to
operations and policy in domains, including poverty,
food security, epidemics, refugees, conflict, human
rights, gender, infodemics, and climate. He has
participated in multiple advisory bodies as the expert
group on AI strategy for the government of Spain. He
is the Founder of the global health social enterprise
SpotLab, Madrid, Spain, and the Inventor of the
games-for-health platform MalariaSpot.org.
Dr. Luengo-Oroz is an Ashoka Fellow. He received
the MIT TR35 Award and the European Responsible
Research and Innovation Award.

Joseph Bullock is currently pursuing the Ph.D.
degree with the Department of Physics, Institute for
Data Science, Durham University, Durham, U.K.
He is also a Researcher with United Nations
Global Pulse, New York, NY, USA. He also holds a
position of Research Associate at the RiskEcon Lab,
Courant Institute for Mathematical Sciences, New
York University, New York. His research focuses
on developing artificial intelligence and numerical
modeling techniques in the context of humanitarian
and physics-based scenarios, with specific
applications in particle physics, automated satellite
image analysis, and disease modeling. In addition,
he works on designing theoretical frameworks for
quantifying and communicating uncertainties in
machine learning systems and understanding why
certain models fail.

Katherine Hoffmann Pham received the
B.A. degree in international relations and economics
and the M.A. degree in international policy studies
from Stanford University, Stanford, CA, USA, both
in 2011. She is currently pursuing the Ph.D. degree
in information systems with the NYU Stern School of
Business, New York, NY, USA.
She spent four years working at the Innovations
for Poverty Action, Washington, DC, USA. She is

March 2021

currently a Researcher with the United Nations
Global Pulse, New York. Her research examines how
big data, machine learning, and technology can be
used to address policy problems, with a focus on
the digital future of urban mobility and international
migrant and refugee movements.

Cynthia Sin Nga Lam is currently an Infodemic
Analyst at the United Nations Global Pulse, New York, NY,
USA, supporting the COVID-19 response, a Contract
Consultant at World Health Organization, Geneva,
Switzerland, advising on digital health communications,
and an agile-certified (PMI-ACP) practitioner managing
various innovation projects. She is passionate about
her variety of work connecting the dots and strives
to innovate through making connections across
different disciplines. Her research interests include the
application of artificial intelligence in various areas of
health (public health, health education, and consumer
health) and health literacy.
Alexandra Luccioni received the Ph.D. degree
in cognitive computing from the Université du
Québec à Montréal, Montréal, QC, Canada, in 2018.
She is currently a Researcher working on Artificial
Intelligence for Humanity Initiatives at the Mila
Institute, Montréal, QC, Canada, where she leads
projects at the nexus of artificial intelligence (AI) and
social issues, such as climate change, education,
and health. She spent two years working in applied
research, applying deep learning in industries such
as customer service and banking. Since joining Mila
in 2019, she has organized and led many AI for social
good initiatives, conferences, and workshops. She is
also highly involved in her community, volunteering
for initiatives such as Women in Machine Learning,
Climate Change AI, and Kids Code Jeunesse.
 Direct questions and comments about this article
to Miguel Luengo-Oroz, United Nations Global Pulse,
New York, NY 10017, USA; miguel@unglobalpulse.org.

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http://www.MalariaSpot.org
IEEE Technology and Society Magazine - March 2021

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