Nuria Oliver

Nuria Oliver
Data-Pop Alliance · Chief Data Science

Doctor of Philosophy

About

227
Publications
86,440
Reads
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13,772
Citations
Additional affiliations
October 2021 - present
ELLIS unit Alicante Foundation
Position
  • Director and cofounder
Description
  • Cofounder and director of the Institute of Human(ity)-centric AI, the only ELLIS unit located in Spain. It focuses on carrying out scientific research on Artificial Intelligence for Social Good
January 2017 - May 2019
Vodafone Group
Position
  • Director of Research in Data Science
Description
  • Creator and leader of the research in Data Science at Vodafone. Creator of the area of Data Science and AI for Social Good
November 2007 - October 2016
Telefónica I+D
Position
  • Managing Director
Education
August 1995 - June 2000
Massachusetts Institute of Technology
Field of study
  • Artificial Intelligence, Computational Perception

Publications

Publications (227)
Article
Full-text available
Since March of 2020, billions of people worldwide have been asked to limit their social contacts in an effort to contain the spread of the SARS-CoV-2 virus. However, little research has been carried out to date on the impact of such social distancing measures on the social isolation levels of the population. In this paper, we study the impact of th...
Conference Paper
We describe the deep learning-based COVID-19 cases predictor and the Pareto-optimal Non-Pharmaceutical Intervention (NPI) prescriptor developed by the winning team of the 500k XPRIZE Pandemic Response Challenge. The competition aimed at developing data-driven AI models to predict COVID-19 infection rates and to prescribe NPI Plans that governments,...
Preprint
Full-text available
Graph Neural Networks (GNNs) have been shown to achieve competitive results to tackle graph-related tasks, such as node and graph classification, link prediction and node and graph clustering in a variety of domains. Most GNNs use a message passing framework and hence are called MPNNs. Despite their promising results, MPNNs have been reported to su...
Preprint
Full-text available
Since March of 2020, billions of people worldwide have been asked to limit their social contacts in an effort to contain the spread of the SARS-CoV-2 virus. However, little research has been carried out to date on the impact of such social distancing measures on the social isolation levels of the population. In this paper, we study the impact of th...
Article
Full-text available
European countries struggled to fight against the second and the third waves of the COVID-19 pandemic, as the Test-Trace-Isolate (TTI) strategy widely adopted over the summer and early fall 2020 failed to contain the spread of the disease effectively. This paper sheds light on the effectiveness of such a strategy in two European countries (Spain an...
Preprint
Full-text available
Human-Centered AI (HCAI) is an emerging discipline that aims to create AI systems that amplify [56, 55] and augment [58] human abilities and preserve human control in order to make AI partnerships more productive, enjoyable, and fair [25]. Our workshop aims to bring together researchers and practitioners from the NeurIPS and HCI communities and oth...
Article
Full-text available
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are bei...
Article
Objectives The current study was aimed at examining SARS-CoV-2 immune responses following two doses of Comirnaty® COVID-19 vaccine among elderly people in nursing home residences. Methods A prospective cohort study in a representative sample from Valencia nursing homes (n=881; males: 271, females 610; median age, 86 years) was recruited using a ra...
Chapter
Philanthropy means love for humanity. Today, the term refers to the economic and social sector consisting of private initiatives (in the form of foundations, donations, non-profit organizations and so forth) who devote resources for the public good, that is, to improve the welfare of others in an altruistic way.
Preprint
Human mobility prediction is a core functionality in many location-based services and applications. However, due to the sparsity of mobility data, it is not an easy task to predict future POIs (place-of-interests) that are going to be visited. In this paper, we propose MobTCast, a Transformer-based context-aware network for mobility prediction. Spe...
Article
Full-text available
Population confinements have been one of the most widely adopted non-pharmaceutical interventions (NPIs) implemented by governments across the globe to help contain the spread of the SARS-CoV-2 virus. While confinement measures have been proven to be effective to reduce the number of infections, they entail significant economic and social costs. Th...
Chapter
Full-text available
In this paper, we describe the deep learning-based COVID-19 cases predictor and the Pareto-optimal Non-Pharmaceutical Intervention (NPI) prescriptor developed by the winning team of the 500k XPRIZE Pandemic Response Challenge, a four-month global competition organized by the XPRIZE Foundation. The competition aimed at developing data-driven AI mode...
Preprint
Full-text available
Statistics on migration flows are often derived from census data, which suffer from intrinsic limitations, including costs and infrequent sampling. When censuses are used, there is typically a time gap - up to a few years - between the data collection process and the computation and publication of relevant statistics. This gap is a significant draw...
Preprint
Full-text available
European countries struggled to fight against the second and the third waves of the COVID-19 pandemic, as the Test-Trace-Isolate (TTI) strategy widely adopted over the summer and early fall failed to effectively contain the spread of the disease. In this paper, we shed light on the effectiveness of such a strategy in two European countries (Spain a...
Preprint
Full-text available
Population confinements have been one of the most widely adopted non-pharmaceutical interventions (NPIs) implemented by governments across the globe to help contain the spread of the SARS-CoV-2 virus. While confinement measures have been proven to be effective to reduce the number of infections, they entail significant economic and social costs. Th...
Preprint
Full-text available
Population confinements have been one of the most widely adopted non-pharmaceutical interventions (NPIs) implemented by governments across the globe to help contain the spread of the SARS-CoV-2 virus. While confinement measures have been proven to be effective to reduce the number of infections, they entail significant economic and social costs. Th...
Article
Full-text available
Today’s increased availability of large amounts of human behavioral data and advances in Artificial Intelligence are contributing to a growing reliance on algorithms to make consequential decisions for humans, including those related to access to credit or medical treatments, hiring, etc. Algorithmic decision-making processes might lead to more obj...
Book
The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pa...
Book
The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pa...
Book
The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pa...
Conference Paper
p>Malaria is one of the primary causes of death in Mozambique, responsible for an estimated 15,000 deaths in 2017. Human-mediated parasite movement combined with spatial and seasonal changes in transmission threatens the success of malaria interventions by reintroducing parasites to areas targeted for elimination. In this study we used pseudonymize...
Article
Full-text available
Background: Spain has been one of the countries most impacted by the COVID-19 pandemic. Since the first confirmed case was reported on January 31st, 2020, there have been over 405,000 cases and 28,000 deaths in Spain. The economic and social impact is without precedent. Thus, it is of paramount importance to quickly assess the situation and percep...
Article
Full-text available
This paper describes how mobile phone data can support government and public health policymaking throughout the COVID-19 pandemic lifecycle, providing increased situational awareness, more accurate predictions, impact assessment of the policies and cause-and-effect inferences. It identifies key gaps and reasons why this kind of data is only scarcel...
Preprint
As we enter the control phase of the COVID-19 pandemic, many efforts have been dedicated to developing smartphone-based contact tracing apps in order to automatically identify people that a person with COVID-19 might have infected. These applications while potentially useful, present significant adoption, societal, technical and privacy challenges....
Preprint
Full-text available
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being...
Preprint
Full-text available
BACKGROUND Spain has been one of the most impacted countries by the COVID-19 pandemic. Since the first confirmed case of COVID-19 reported on January 31st, 2020, over 240,000 cases have been reported in Spain, resulting in over 27,000 deaths. The economic and social impact of the COVID-19 pandemic is without precedent. In this context, it is of par...
Article
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are bei...
Preprint
Full-text available
This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in assessing the effectiveness of control measures such as physical distancing. It identifies key gaps and reasons why this kind of data is only scarcely used, although their val...
Preprint
Full-text available
As "Big Data" has become pervasive, an increasing amount of research has connected the dots between human behaviour in the offline and online worlds. Consequently, researchers have exploited these new findings to create models that better predict different aspects of human life and recommend future behaviour. To date, however, we do not yet fully u...
Article
Filtered through the analytical power of artificial intelligence, the wealth of available biomedical data promises to revolutionize cancer research, diagnosis and care. In this Viewpoint, six experts discuss some of the challenges, exciting developments and future questions arising at the interface of machine learning and oncology.
Article
Full-text available
Social capital has long been associated with opportunities of access to valuable resources that individuals, groups, communities, and places can extract from the social structure emerging from their interactions. Despite the overall consensus on the structural signature of social capital, there is still controversy over the relative benefits associ...
Article
Full-text available
Cognition has been found to constrain several aspects of human behaviour, such as the number of friends and the number of favourite places a person keeps stable over time. This limitation has been empirically defined in the physical and social spaces. But do people exhibit similar constraints in the digital space? We address this question through t...
Preprint
Full-text available
Cognition has been found to constrain several aspects of human behaviour, such as the number of friends and the number of favourite places a person keeps stable over time. This limitation has been empirically defined in the physical and social spaces. But do people exhibit similar constraints in the digital space? We address this question through t...
Article
The four papers in this special section explore applications, systems, methodologies, and technologies that relate broad aspects to realize successful conversational user interfaces and interactions. Speech recognition has become a part of our daily lives. Today, we can enjoy a wide array of conversational user interfaces and speech-based interacti...
Article
Access to financial institutions is difficult in developing economies and especially for the poor. However, the widespread adoption of mobile phones has enabled the development of mobile money systems that deliver financial services through the mobile phone network. Despite the success of mobile money, there is a lack of quantitative studies that u...
Article
Full-text available
The breadcrumbs we leave behind when using our mobile phones—who somebody calls, for how long, and from where—contain unprecedented insights about us and our societies. Researchers have compared the recent availability of large-scale behavioral datasets, such as the ones generated by mobile phones, to the invention of the microscope, giving rise to...
Preprint
Full-text available
Access to financial institutions is difficult in developing economies and especially for the poor. However, the widespread adoption of mobile phones has enabled the development of mobile money systems that deliver financial services through the mobile phone network. Despite the success of mobile money, there is a lack of quantitative studies that u...
Article
Full-text available
The combination of increased availability of large amounts of fine-grained human behavioral data and advances in machine learning is presiding over a growing reliance on algorithms to address complex societal problems. Algorithmic decision-making processes might lead to more objective and thus potentially fairer decisions than those made by humans...
Article
The combination of increased availability of large amounts of fine-grained human behavioral data and advances in machine learning is presiding over a growing reliance on algorithms to address complex societal problems. Algorithmic decision-making processes might lead to more objective and thus potentially fairer decisions than those made by humans...
Conference Paper
Full-text available
Data visualisation is one of the most common mechanisms to explore data. It is therefore no surprise that there are today a broad array of techniques and tools available to visually explore data. However, data may be also perceived through other sensory channels, such as touch, taste or sound. In this paper we propose Musical Data, a novel interact...
Article
Introduction: This accompanying editorial provides a brief introduction to this focus theme, focused on “Machine Learning and Data Analytics in Pervasive Health”. Objective: The innovative use of machine learning technologies combining small and big data analytics will support a better provisioning of healthcare to citizens. This focus theme aims t...
Preprint
Full-text available
This document contains the outcome of the first Human behaviour and machine intelligence (HUMAINT) workshop that took place 5-6 March 2018 in Barcelona, Spain. The workshop was organized in the context of a new research programme at the Centre for Advanced Studies, Joint Research Centre of the European Commission, which focuses on studying the pote...
Article
Full-text available
The objective of this special issue is to revisit how sensor technology is transforming the way context and human behavior is understood, enabling personal and enriched media experiences.
Book
This book constitutes the refereed proceedings of the 6th International Symposium on Pervasive Computing Paradigms for Mental Health, MindCare 2016, held in Barcelona, Spain, in November 2016, and the Second International Conference of Future Access Enablers of Ubiquitous and Intelligent Infrastructures, Fabulous 2016, Belgrade, Serbia, October 24-...
Article
Full-text available
Collective urban mobility embodies the residents' local insights on the city. Mobility practices of the residents are produced from their spatial choices, which involve various considerations such as the atmosphere of destinations, distance, past experiences, and preferences. The advances in mobile computing and the rise of geo-social platforms hav...
Article
Full-text available
The exponential growth in smartphone adoption is contributing to the availability of vast amounts of human behavioral data. This data enables the development of increasingly accurate data-driven user models that facilitate the delivery of personalized services which are often free in exchange for the use of its customers' data. Although such usage...
Article
Full-text available
Many of today's mobile products and services engage their users proactively via push notifications. However, such notifications are not always delivered at the right moment, therefore not meeting products' and users' expectations. To address this challenge, we aim at developing an intelligent mobile system that automatically infers moments in which...
Conference Paper
Full-text available
In this paper, we explore the question "would people be willing to share their personal data in exchange for highly-personalized online ads?" through a Wizard-of-Oz deception study. Our volunteers were exposed via a web browser to three different highly- personalized ads, designed by people who knew them well. They were made believe that the ads ha...
Chapter
Full-text available
The unprecedented availability of large-scale human behavioral data is profoundly changing the world we live in. Researchers, companies, governments, financial institutions, non-governmental organizations and also citizen groups are actively experimenting, innovating and adapting algorithmic decision-making tools to understand global patterns of hu...
Chapter
Optimizing the use of available resources is one of the key challenges in activities that consist of interactionswith a large number of "target individuals", with the ultimate goal of affecting as many ofthem as possible, such as in marketing, service provision and political campaigns. Typically, the costof interactions is monotonically increasing...
Article
Full-text available
The unprecedented availability of large-scale human behavioral data is profoundly changing the world we live in. Researchers, companies, governments, financial institutions, non-governmental organizations and also citizen groups are actively experimenting, innovating and adapting algorithmic decision-making tools to understand global patterns of hu...
Conference Paper
Full-text available
We live in a world of data, of big data, a big part of which has been generated by humans through their interactions with both the physical and digital world. A key element in the exponential growth of human behavioral data is the mobile phone. There are more mobile phones in the world as humans which has turned the mobile phone into the piece of t...
Article
Full-text available
The exploration of people’s everyday life has long been of interest to social scientists. Recent years have witnessed a growing interest in analyzing human behavioral data generated by technology (e.g. mobile phones). To date, a few large-scale studies have been designed to measure human behaviors and interactions using multiple sources of data. A...
Conference Paper
Full-text available
Boredom is a common human emotion which may lead to an active search for stimulation. People often turn to their mobile phones to seek that stimulation. In this paper , we tackle the challenge of automatically inferring boredom from mobile phone usage. In a two-week in-the-wild study, we collected over 40,000,000 usage logs and 4398 boredom self-re...
Conference Paper
Full-text available
Mobile technology is becoming a loyal companion in our lives. It is used for increasing amounts of time during the day and night, enabling the development of intelligent user interfaces that characterize their users' traits and adapt to them. In this paper, we show how an individual's tendency to experience boredom, i.e. the personal trait called b...
Conference Paper
The advancement in wireless Internet access and mobile devices has made online content consumption a spontaneous and habitual activity. Content browsing in mobile devices often starts without a clear purpose and continues for a long time. The browsing history in mobile devices is not merely a record of URL accesses but is becoming a comprehensive r...
Conference Paper
Full-text available
Customer center call data is typically collected by organizations and corporations in order to improve customer experience through the analysis of such call data. In this paper, we report our findings when analysing more than 26 thousand calls to the call centers of a large corporation in a Latin American country. We focus on the impact of gender a...
Conference Paper
Full-text available
Today, many users of mobile devices are continuously confronted with a huge variety of information: notifications from Facebook, new application updates, won badges, or reminders. This leads to an information overload, which makes it hard to stay focused. This workshop wants to investigate if smart attention management systems can be a solution and...
Conference Paper
Full-text available
We propose the concept of boredom-triggered proactive recommendations for mobile phones. Given that more and more services attempt to attract mobile phone users' attention via push notifications, attention in this context can be considered as an increasingly scarce resource. However , when people are bored, by definition, they seek stimuli and henc...