With data as the infrastructure, and machine learning and deep learning as the technology foundations of building AI systems combined, they largely determine the performance, fairness, robustness, reliability, and scalability of AI systems.
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Ethical dilemma is a common problem for humans, but this is as true for humans as it is for machines. Hence, machines need to be enhanced to make the optimal decision in the face of ethical dilemma.
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In our recent study (Liu et al., 2022), we dissected a reference list with five distinct dimensions, namely the number of references, the number of citations of references, the age of references, the number of nodes in a reference cascade, and the density of bibliographic coupling networks.
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In this research, we aimed to understand how mHealth apps empower end-users to enhance their well-being against the pandemic event.
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To what extent should influential social media platforms like Twitter and Facebook censor objectionable posts by prominent individuals in the United States and elsewhere?
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To explore these personal dynamics in relation to data lifecycles, I analyzed a small series of interviews with astronomers about their data and research practices to better understand the affective influences on researchers’ data sharing behavior over time.
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Our research studied an ICT4D project in remote areas of Bangladesh which gave 300 women in 3 villages smartphones with call and data credits for 3 years.
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In the following, we will introduce a new tool: a multilingual terminology e-Dictionary.
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We investigate how perceived serendipity was influenced by different tag presentation formats and the participants’ openness to experience in a controlled environment.
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By analyzing over 7.7 million teams from Science (e.g., Computer Science, Physics), Social Sciences (e.g., Sociology, Library & Information Science), and Arts & Humanities (e.g., Art), we find that flat team structure is associated with higher team impact.
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