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Teaching Stats for Data Science [PDF]
, 2017 “Data science” is a useful catchword for methods and concepts original to the field of statistics, but typically being applied to large, multivariate, observational records.
Kaplan, Daniel
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Towards Ordinal Data Science [PDF]
Transactions on Graph Data and Knowledge, 2023 Order is one of the main instruments to measure the relationship between objects in (empirical) data. However, compared to methods that use numerical properties of objects, the amount of ordinal methods developed is rather small.
Stumme, Gerd +2 more
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Data Science and Big Data in Energy Forecasting [PDF]
, 2018 This editorial summarizes the performance of the special issue entitled Data Science and Big Data in Energy Forecasting, which was published at MDPI’s Energies journal.
Martínez Álvarez, Francisco +2 more
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OPEN SCIENCE DATA CATALOGUE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Open Science is a catalyst for innovation. Across the Earth Observation value chain, from R&D to prototyping new products and development of commercial applications, openness can play an important role by promoting long-term sustainable, community ...
F. Schindler +5 more
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Thoughts on Starting the CODATA Data Science Journal
Data Science Journal, 2023 This essay discusses some of the considerations that led to the founding of the [CODATA] Data Science Journal. Three factors were most relevant to the founding.
John Rumble
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Political Science Is a Data Science
The Journal of Politics, 2021 This discussion is about changes in the world, changes that affect us as academics, changes that affect us as empirical researchers (qualitative and quantitative), and changes that affect our students and our universities/ colleges I am an empirical social scientist, a political methodologist, and a statistician, so I will only discuss topics along ...
openaire +2 more sources
Data Science Ethos Lifecycle: Interplay of Ethical Thinking and Data Science Practice
Journal of Statistics and Data Science Education, 2022 This article presents the Data Science Ethos Lifecycle, a tool for engaging responsible workflow developed by an interdisciplinary team of social scientists and data scientists working with the Academic Data Science Alliance. The tool uses a data science
Margarita Boenig-Liptsin +2 more
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Looking Back to the Future: A Glimpse at Twenty Years of Data Science
Data Science Journal, 2023 This paper carries out a lightweight review to explore the potentials of data science in the last two decades and especially focuses on the four essential components: data resources, technologies, data infrastructures, and data education. Considering the
Lili Zhang
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Curriculum Guidelines for Undergraduate Programs in Data Science [PDF]
, 2017 The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science.
Agarwal, Mahesh +24 more
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Communications of the ACM, 2022 Given the complexity of data science projects and related demand for human expertise, automation has the potential to transform the data science process.
De Bie, Tijl +5 more
openaire +2 more sources