Human migration: The big data perspective

A Sîrbu, G Andrienko, N Andrienko, C Boldrini… - International Journal of …, 2021 - Springer
How can big data help to understand the migration phenomenon? In this paper, we try to
answer this question through an analysis of various phases of migration, comparing …

Beijing's central role in global artificial intelligence research

B AlShebli, E Cheng, M Waniek, R Jagannathan… - Scientific reports, 2022 - nature.com
Nations worldwide are mobilizing to harness the power of Artificial Intelligence (AI) given its
massive potential to shape global competitiveness over the coming decades. Using a …

Title2Vec: A contextual job title embedding for occupational named entity recognition and other applications

J Liu, YC Ng, Z Gui, T Singhal, LTM Blessing… - Journal of Big Data, 2022 - Springer
Occupational data mining and analysis is an important task in understanding today's
industry and job market. Various machine learning techniques are proposed and gradually …

The academic wanderer: Structure of collaboration network and relation with research performance

P Paraskevopoulos, C Boldrini, A Passarella… - Applied Network …, 2021 - Springer
Thanks to the widespread availability of large-scale datasets on scholarly outputs, science
itself has come under the microscope with the aim of capturing a quantitative understanding …

Mapping the physics research space: a machine learning approach

M Chinazzi, B Gonçalves, Q Zhang, A Vespignani - EPJ Data Science, 2019 - epjds.epj.org
Scientific discoveries do not occur in vacuum but rather by connecting existing pieces of
knowledge in new and creative ways. Mapping the relation and structure of scientific …

IPOD: a large-scale industrial and professional occupation dataset

J Liu, YC Ng, KL Wood, KH Lim - … Publication of the 2020 Conference on …, 2020 - dl.acm.org
In today's job market, occupational data mining and analysis is growing in importance as it
enables companies to predict employee turnover, model career trajectories, screen through …

Skillrec: A data-driven approach to job skill recommendation for career insights

XQ Ong, KH Lim - 2023 15th International Conference on …, 2023 - ieeexplore.ieee.org
Understanding the skill sets and knowledge required for any career is of utmost importance,
but it is increasingly challenging in today's dynamic world with rapid changes in terms of the …

China and the US produce more impactful AI research when collaborating together

B AlShebli, SA Memon, JA Evans, T Rahwan - Scientific Reports, 2024 - nature.com
Artificial Intelligence (AI) has become a disruptive technology, promising to grant a
significant economic and strategic advantage to nations that harness its power. China, with …

Ipod: An industrial and professional occupations dataset and its applications to occupational data mining and analysis

J Liu, YC Ng, KL Wood, KH Lim - arXiv preprint arXiv:1910.10495, 2019 - arxiv.org
Occupational data mining and analysis is an important task in understanding today's
industry and job market. Various machine learning techniques are proposed and gradually …

[PDF][PDF] IPOD: Corpus of 190,000 industrial occupations

J Liu13, C Guo, YC Ng, KL Wood… - arXiv preprint arXiv …, 2019 - researchgate.net
Job titles are the most fundamental building blocks for occupational data mining tasks, such
as Career Modelling and Job Recommendation. However, there are no publicly available …