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Towards Actionable Data Science: Domain Experts as End-Users of Data Science Systems
As a wider range of organizations explore using data science systems, data science research has given growing attention to the role of domain...
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Computer science and non-computer science faculty members’ perception on teaching data science via an experiential learning platform
Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited lacking...
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Data Science
It is notoriously difficult to define what data science is - even though a lot of people are talking/writing about it. Also, it... -
Responsible Data Science
Data science has an increasing responsibility in society, which means it needs to consider more than just technical skills. Data scientists must... -
Science, Technology and Society
Science and technology have played a critical role in the advancement of society. Technology improved communication, transportation, and medicine,... -
Data Science: Key Directions, Problems, and Perspectives
Abstract—This article outlines the boundaries of data science in relation to artificial intelligence. It also describes the multidimensional...
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Computational social science with confidence
There is an ongoing shift in computational social science towards validating our methodologies and improving the reliability of our findings. This is...
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Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices
Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity – and thus...
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Data Science Thinking
This chapter highlights the cognitive aspect of data science. It presents a variety of modes of thinking, which are associated with the different... -
Do open science badges work? Estimating the effects of open science badges on an article’s social media attention and research impacts
As a response to the replicability crisis, awarding open science badges was designed as an incentive for researchers to participate in open science...
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Enabling Interdisciplinary Research in Open Science: Open Science Data Network
The aim of Open Science is to open up data to enrich knowledge creation processes. At present, Open Science actors face problems when trying to find... -
Applications of Origami Science
This video segment presents applications of Origami science. -
Tracking the featured topics of the International Science of Team Science conference series and their evolution during 2010–2019
In this paper, we study how research topics and trends have evolved in the field of the science of team science (SciTS). Over the past 12 years, the...
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Data Science for Social Science and Digital Humanities Research
In this chapterDigital Humanities and in Chap. 20 , we focus on the third component of the MERge modelMERge... -
Spatial Data Science
Spatial data science is a multi-disciplinary field that applies scientific methods to acquire, store, and manage spatial data, as well as to retrieve... -
Fake Science – zwielichtige Wissenschaft
Es gibt wohl kaum eine Manipulationsart, die insbesondere Wissenschaftler so empört oder berühren sollte wie Fake Science. Dies gilt nicht nur für... -
Global science and the muslim world: overview of muslim-majority country contributions to global science
Global science is pluralising. More nations increasingly contribute to scientific endeavours worldwide. Muslim-majority nations are no exception, but...
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What is Data Science?
Although many attempts have been made to define data science, such a definition has not yet been reached. One reason for the difficulty to reach a... -
The Science of Trust in Science: COVID-19 and Its Implications for “Trust”
The COVID-19 pandemic has highlighted the issue of trust in science. The relationship between science and society in the context of the pandemic... -
The Data Science Workflow
The examination of data science as aWorkflow workflowData science workflow is yet another facet of data science. In this chapter we elaborate on the...