Manipulation-proof machine learning

D Björkegren, JE Blumenstock, S Knight - arXiv preprint arXiv:2004.03865, 2020 - arxiv.org
An increasing number of decisions are guided by machine learning algorithms. In many
settings, from consumer credit to criminal justice, those decisions are made by applying an …

Data innovation in demography, migration and human mobility

C Bosco, S Grubanov-Boskovic, S Iacus… - arXiv preprint arXiv …, 2022 - arxiv.org
With the consolidation of the culture of evidence-based policymaking, the availability of data
has become central to policymakers. Nowadays, innovative data sources offer an …

Fairness in vulnerable attribute prediction on social media

MG Beiró, K Kalimeri - Data Mining and Knowledge Discovery, 2022 - Springer
Historically, policymakers and practitioners relied exclusively on survey and census data to
design and plan for assistive interventions; now, social media offer a timely and cost …

Monitoring COVID-19-induced gender differences in teleworking rates using mobile network data

S Grubanov-Boskovic, S Spyratos, SM Iacus… - arXiv preprint arXiv …, 2021 - arxiv.org
The COVID-19 pandemic has created a sudden need for a wider uptake of home-based
telework as means of sustaining the production. Generally, teleworking arrangements …

[HTML][HTML] Analyzing international airtime top-up transfers for migration and mobility

B Aydoğdu, H Samad, S Bai, S Abboud… - International Journal of …, 2023 - Springer
International airtime top-up transfers enable prepaid mobile phone users to send top-ups
and data bundles to users in other countries, as well as make payments, in real time. These …

The tradeoff between the utility and risk of location data and implications for public good

D Calacci, A Berke, K Larson - arXiv preprint arXiv:1905.09350, 2019 - arxiv.org
High-resolution individual geolocation data passively collected from mobile phones is
increasingly sold in private markets and shared with researchers. This data poses significant …

The long-term and disparate impact of job loss on individual mobility behaviour

S Centellegher, M De Nadai, M Tonin, B Lepri… - arXiv preprint arXiv …, 2024 - arxiv.org
In today's interconnected world of widespread mobility, ubiquitous social interaction, and
rapid information dissemination, the demand for individuals to swiftly adapt their behaviors …

Against Algorithmic Exploitation of Human Vulnerabilities

I Strümke, M Slavkovik, C Stachl - arXiv preprint arXiv:2301.04993, 2023 - arxiv.org
Decisions such as which movie to watch next, which song to listen to, or which product to
buy online, are increasingly influenced by recommender systems and user models that …

Using mobile phone data to examine point-of-interest urban mobility

H Chen, X Song, C Xu, X Zhang - Journal of Urban Technology, 2020 - Taylor & Francis
Human mobility patterns have been investigated on a macroscale ranging from intra-city and
intercity to intra-country based on mobile phone data. However, few studies have been …

Prospective detection of foodborne illness outbreaks using machine learning approaches

A Teyhouee, S McPhee-Knowles, C Waldner… - … DC, USA, July 5-8, 2017 …, 2017 - Springer
Despite advances in food safety regulations, food-borne illness imposes a heavy health
burden, with nearly 50 million estimated incident cases of illness each year. Having a …