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Data Science: Nature and Pitfalls [PDF]

IEEE Intelligent Systems, Volume: 31, Issue: 5, 66-75, 2016, 2020
Data science is creating very exciting trends as well as significant controversy. A critical matter for the healthy development of data science in its early stages is to deeply understand the nature of data and data science, and to discuss the various pitfalls. These important issues motivate the discussions in this article.
arxiv   +1 more source

Nature, Science, and PNAS -- Disciplinary profiles and impact [PDF]

Scientometrics 123, 1301-1315 (2020), 2020
Nature, Science, and PNAS are the three most prestigious general-science journals, and Nature and Science are among the most influential journals overall, based on the journal Impact Factor (IF). In this paper we perform automatic classification of ~50,000 articles in these journals (published in the period 2005-2015) into 14 broad areas, to explore ...
arxiv   +1 more source

The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large [PDF]

ICSE 2022: The 44th International Conference on Software Engineering, 2021
Increasingly larger number of software systems today are including data science components for descriptive, predictive, and prescriptive analytics. The collection of data science stages from acquisition, to cleaning/curation, to modeling, and so on are referred to as data science pipelines. To facilitate research and practice on data science pipelines,
arxiv   +1 more source

The Science of al-Biruni [PDF]

International Journal of Sciences 2(12), 52-60, 2013, 2013
Al-Biruni (973-1048) was one of the greatest scientists of all times. He was an astronomer, mathematician and philosopher, and studied physics and natural sciences. In this paper, we will discuss some of his experimental methods and some instruments he used.
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Heavy going [PDF]

Nature Physics 12, 895 (2016), 2016
Chiral symmetry breaking is imaged in graphene which, through a mechanism analogous to mass generation in quantum electrodynamics, could provide a means for making it semiconducting.
arxiv   +1 more source

Report on a Boston University Conference December 7-8, 2012 on 'How Can the History and Philosophy of Science Contribute to Contemporary U.S. Science Teaching?' [PDF]

Science & Education, September 2014, 23(9): 1853-1873, 2015
This is an editorial report on the outcomes of an international conference sponsored by a grant from the National Science Foundation (NSF) (REESE-1205273) to the School of Education at Boston University and the Center for Philosophy and History of Science at Boston University for a conference titled: How Can the History and Philosophy of Science ...
arxiv   +1 more source

Is it "natural" to expect Economics to become a part of the Natural Sciences? [PDF]

Eur. Phys. J. Special Topics 225 (2016) 3145-3149, 2016
We are in the middle of a complex debate as to whether Economics is really a proper natural science. The 'Discussion & Debate' issue of this Euro. Phys. J. Special Topic volume is: 'Can economics be a Physical Science?' I discuss some aspects here.
arxiv   +1 more source

Can Economics Afford Not To Become Natural Science? [PDF]

, 2016
The 'Discussion & Debate' issue of this Euro. Phys. J. Special Topic volume is: 'Can economics be a Physical Science?' I would rather address a more general question: 'Can economics or sociology avoid joining Natural Science?' and argue that mainstream or core economics or sociology can not escape joining natural science.
arxiv   +1 more source

Introduction: Cognitive Issues in Natural Language Processing [PDF]

Traitement Automatique des Langues, ATALA, 2014, Traitement Automatique des Langues et Sciences Cognitives, 55 (3), pp.7-19, 2016
This special issue is dedicated to get a better picture of the relationships between computational linguistics and cognitive science. It specifically raises two questions: "what is the potential contribution of computational language modeling to cognitive science?" and conversely: "what is the influence of cognitive science in contemporary ...
arxiv   +1 more source

A data science axiology: the nature, value, and risks of data science [PDF]

arXiv, 2023
Data science is not a science. It is a research paradigm with an unfathomed scope, scale, complexity, and power for knowledge discovery that is not otherwise possible and can be beyond human reasoning. It is changing our world practically and profoundly already widely deployed in tens of thousands of applications in every discipline in an AI Arms Race ...
arxiv