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Related papers: Data Innovation in Demography, Migration and Human…

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Migration's impact spans various social dimensions, including demography, sustainability, politics, economy and gender disparities. Yet, the decision-making process behind migrants choosing their destination remains elusive. Existing models…

High-quality human mobility data is crucial for applications such as urban planning, transportation management, and public health, yet its collection is often hindered by privacy concerns and data scarcity-particularly in less-developed…

Social and Information Networks · Computer Science 2025-12-19 Yuan Yuan , Yuheng Zhang , Jingtao Ding , Yong Li

Understanding the movement behaviours of individuals and the way they react to the external world is a key component of any problem that involves the modelling of human dynamics at a physical level. In particular, it is crucial to capture…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Gabriele Galatolo , Mirco Nanni

This article presents an analysis of China's economic evolution amidst demographic changes from 1990 to 2050, offering valuable insights for academia and policymakers. It uniquely intertwines various economic theories with empirical data,…

General Economics · Economics 2023-12-20 Yuxin Hu

In this paper, we present a comprehensive survey of human-mobility modeling based on 1680 articles published between 1999 and 2019, which can serve as a roadmap for research and practice in this area. Mobility modeling research has…

Social and Information Networks · Computer Science 2019-06-19 Vaibhav Kulkarni , Benoit Garbinato

Up-to-date information on different modes of travel to monitor transport traffic and evaluate rapid urban transport planning interventions is often lacking. Transport systems typically rely on traditional data sources providing outdated…

Computers and Society · Computer Science 2024-11-28 Eduardo Graells-Garrido , Daniela Opitz , Francisco Rowe , Jacqueline Arriagada

Social media provide access to behavioural data at an unprecedented scale and granularity. However, using these data to understand phenomena in a broader population is difficult due to their non-representativeness and the bias of…

Computers and Society · Computer Science 2019-05-16 Zijian Wang , Scott A. Hale , David Adelani , Przemyslaw A. Grabowicz , Timo Hartmann , Fabian Flöck , David Jurgens

The COVID-19 pandemic has brought forth the importance of epidemic forecasting for decision makers in multiple domains, ranging from public health to the economy as a whole. While forecasting epidemic progression is frequently…

Machine Learning · Computer Science 2022-07-21 Alexander Rodríguez , Harshavardhan Kamarthi , Pulak Agarwal , Javen Ho , Mira Patel , Suchet Sapre , B. Aditya Prakash

Following Turkey's 2020 decision to revoke border controls, many individuals journeyed towards the Greek, Bulgarian, and Turkish borders. However, the lack of verifiable statistics on irregular migration and discrepancies between media…

Social and Information Networks · Computer Science 2024-05-24 Carlos Arcila Calderón , Bilgeçağ Aydoğdu , Tuba Bircan , Bünyamin Gündüz , Onur Önes , Albert Ali Salah , Alina Sîrbu

Cities are continuously evolving human settlements. Our cities are under strain in an increasingly urbanized world, and planners, decision-makers, and communities must be ready to adapt. Data is an important resource for municipal…

Computers and Society · Computer Science 2023-09-15 Md Aminul Islam , Md Abu Sufian

This document analyzes the role of data-driven methodologies in Covid-19 pandemic. We provide a SWOT analysis and a roadmap that goes from the access to data sources to the final decision-making step. We aim to review the available…

Populations and Evolution · Quantitative Biology 2020-06-11 Teodoro Alamo , D. G. Reina , Pablo Millán

Economies are fundamentally complex and becoming more so, but the new discipline of data science-which combines programming, statistics, and domain knowledge-can help cut through that complexity, potentially with productivity benefits to…

General Economics · Economics 2025-02-06 Arthur Turrell

Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting…

Monitoring migration flows is crucial to respond to humanitarian crisis and to design efficient policies. This information usually comes from surveys and border controls, but timely accessibility and methodological concerns reduce its…

The exponential growth of data has outpaced human ability to process information, necessitating innovative approaches for effective human-data interaction. To transform raw data into meaningful insights, storytelling, and visualization have…

Location and mobility patterns of individuals are important to environmental planning, societal resilience, public health, and a host of commercial applications. Mining telecommunication traffic and transactions data for such purposes is…

Computers and Society · Computer Science 2014-12-09 Pedro Sanches , Eric-Oluf Svee , Markus Bylund , Benjamin Hirsch , Magnus Boman

Metadata management plays a critical role in data governance, resource discovery, and decision-making in the data-driven era. While traditional metadata approaches have primarily focused on organization, classification, and resource reuse,…

Databases · Computer Science 2025-07-17 Wenli Yang , Rui Fu , Muhammad Bilal Amin , Byeong Kang

This research examines the impact of digital neo-colonialism on the Global South and encourages the development of legal and economic incentives to protect Indigenous cultures globally. Data governance is discussed in an evolutionary…

Computers and Society · Computer Science 2022-08-10 Jennafer Shae Roberts , Laura N Montoya

The unprecedented size of the human population, along with its associated economic activities, have an ever increasing impact on global environments. Across the world, countries are concerned about the growing resource consumption and the…

The data paper, an emerging scholarly genre, describes research datasets and is intended to bridge the gap between the publication of research data and scientific articles. Research examining how data papers report data events, such as data…

Digital Libraries · Computer Science 2019-03-18 Kai Li , Jane Greenberg , Jillian Dunic
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