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  1. 1821
    “…The nature of team sports like soccer, halfway between the abstraction of a game and the reality of complex social systems, combined with the unique size and composition of this dataset, provide an ideal ground for tackling a wide range of data science problems, including the measurement and evaluation of performance, both at individual and at collective level, and the determinants of success and failure.…”
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    A public data set of spatio-temporal match events in soccer competitions
  2. 1822
    Publicado 2019
    “…Contextual artificial intelligence for computer-assisted intervention (CAI4CAI) arises as an emerging opportunity feeding into the broader field of surgical data science. Central challenges being addressed in CAI4CAI include how to integrate the ensemble of prior knowledge and instantaneous sensory information from experts, sensors, and actuators; how to create and communicate a faithful and actionable shared representation of the surgery among a mixed human–AI actor team; and how to design interventional systems and associated cognitive shared control schemes for online uncertainty-aware collaborative decision-making ultimately producing more precise and reliable interventions.…”
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    CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions: This article overviews ideas as to how to incorporate the range of prior knowledge and instantaneous sensory information from experts, sensors and actuators for use in computer-assisted interventions, as well as learning how to develop a representation of the surgery or intervention among a mixed human-AI team of actors. In addition, the design of interventional systems and associated cognitive shared control schemes for online uncertainty awareness when making decisions in the OR or the IR suite is discussed, and it is noted how this is critical for producing precise and reliable interventions.
  3. 1823
    por Alexander, Francis, Almgren, Ann, Bell, John, Bhattacharjee, Amitava, Chen, Jacqueline, Colella, Phil, Daniel, David, DeSlippe, Jack, Diachin, Lori, Draeger, Erik, Dubey, Anshu, Dunning, Thom, Evans, Thomas, Foster, Ian, Francois, Marianne, Germann, Tim, Gordon, Mark, Habib, Salman, Halappanavar, Mahantesh, Hamilton, Steven, Hart, William, (Henry) Huang, Zhenyu, Hungerford, Aimee, Kasen, Daniel, Kent, Paul R. C., Kolev, Tzanio, Kothe, Douglas B., Kronfeld, Andreas, Luo, Ye, Mackenzie, Paul, McCallen, David, Messer, Bronson, Mniszewski, Sue, Oehmen, Chris, Perazzo, Amedeo, Perez, Danny, Richards, David, Rider, William J., Rieben, Rob, Roche, Kenneth, Siegel, Andrew, Sprague, Michael, Steefel, Carl, Stevens, Rick, Syamlal, Madhava, Taylor, Mark, Turner, John, Vay, Jean-Luc, Voter, Artur F., Windus, Theresa L., Yelick, Katherine
    Publicado 2020
    “…For exascale applications under development in the US Department of Energy Exascale Computing Project, nothing could be more apt, with the skin being exascale applications and the game being delivering comprehensive science-based computational applications that effectively exploit exascale high-performance computing technologies to provide breakthrough modelling and simulation and data science solutions. These solutions will yield high-confidence insights and answers to the most critical problems and challenges for the USA in scientific discovery, national security, energy assurance, economic competitiveness and advanced healthcare. …”
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    Exascale applications: skin in the game
  4. 1824
    “…At an individual level, potential recruits will need to be assessed against a whole new set of competencies and capabilities: technical competencies in data science, computational science and artificial intelligence, alongside a large set of soft skills.…”
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    Envisioning the expertise of the future
  5. 1825
    “…We have utilized images of tissue and cell cultures from the Data Science Bowl (DSB) 2018 nuclei segmentation competition and other sources. …”
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    Test-time augmentation for deep learning-based cell segmentation on microscopy images
  6. 1826
    “…In data science, networks provide a useful abstraction of the structure of many complex systems, ranging from social systems and computer networks to biological networks and physical systems. …”
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    A network-based method with privacy-preserving for identifying influential providers in large healthcare service systems
  7. 1827
    por Gao, Jing, O’Neill, Brian C.
    Publicado 2020
    “…Here we produce a first empirically-grounded set of global, spatial urban land projections over the 21st century. We use a data-science approach exploiting 15 diverse datasets, including a newly available 40-year global time series of fine-spatial-resolution remote sensing observations. …”
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    Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways
  8. 1828
    “…This paper addresses the potential of data science to assess the risk factors correlated with COVID-19, after analyzing existing datasets available in “ourworldindata.org (Oxford University database)”, and newly simulated datasets, following the analysis of different univariate “Long Short Term Memory (LSTM)” models for forecasting new cases and resulting deaths. …”
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    Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death
  9. 1829
    por Huang, Shu, Cole, Jacqueline M.
    Publicado 2020
    “…Public availability of these data will also enable battery materials design and prediction via data-science methods. To the best of our knowledge, this is the first auto-generated database of battery materials extracted from a relatively large number of scientific papers. …”
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    A database of battery materials auto-generated using ChemDataExtractor
  10. 1830
    “…Komen is committed to educating patients on big data issues, encouraging data sharing by all stakeholders, assisting in training the next generation of data science breast cancer researchers, and funding research projects that will use real-life data in real time to revolutionize the way breast cancer is understood and treated.…”
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    Susan G. Komen Big Data for Breast Cancer Initiative: How Patient Advocacy Organizations Can Facilitate Using Big Data to Improve Patient Outcomes
  11. 1831
    por Lötsch, Jörn, Ultsch, Alfred
    Publicado 2020
    “…Therefore, the proposed effect size measure is particularly well suited for data science and artificial intelligence-based knowledge discovery from big and heterogeneous data.…”
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    A non-parametric effect-size measure capturing changes in central tendency and data distribution shape
  12. 1832
    por Doorn, Neelke
    Publicado 2021
    “…We also identify three insights pertaining to the water sector in particular: the use of AI techniques in general, and many-objective optimization in particular, that allow for a pluralism of values and changing values; the use of theory-guided data science, which can avoid some of the pitfalls of strictly data-driven models; and the ability to build on experiences with participatory decision-making in the water sector. …”
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    Artificial intelligence in the water domain: Opportunities for responsible use
  13. 1833
    “…We end with a discussion of the possible mechanisms by which this semantic structure may be informed and implications for the nascent research and practice of data science.…”
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    A university map of course knowledge
  14. 1834
    por Pikhart, Marcel
    Publicado 2020
    “…Artificial intelligence has seen a dramatic increase and its utilization in various aspects of data science, information science and various platforms is unprecedented. …”
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    Intelligent information processing for language education: The use of artificial intelligence in language learning apps
  15. 1835
    por Finelli, Luca A., Narasimhan, Vas
    Publicado 2020
    “…Inspired by a desire to “Go Big on Data,” we developed a strategic roadmap defining a digital transformation to reimagine the way we work in Novartis Global Drug Development, leveraging data science to generate and inject actionable insights into our best practices. …”
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    Leading a Digital Transformation in the Pharmaceutical Industry: Reimagining the Way We Work in Global Drug Development
  16. 1836
    “…We illustrate the utility of our dashboard by describing how it can be used to support data story-telling – an important emerging area in data science.…”
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    From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance
  17. 1837
    por Rosen, Gail L., Hammrich, Penny
    Publicado 2020
    “…Students are trained to maximize impact and tackle real world problems in biology and medicine with their learned knowledge of data science and machine learning. The course materials for the new microbiome analysis course are available on Github: https://github.com/EESI/Comp_Metagenomics_resources.…”
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    Teaching Microbiome Analysis: From Design to Computation Through Inquiry
  18. 1838
    “…Driven by breakthroughs in genome editing, strain construction and testing, analytics, automation, data science, and process development, Amyris has commercialized nine separate fermentation products over the last decade. …”
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    Clean manufacturing powered by biology: how Amyris has deployed technology and aims to do it better
  19. 1839
    por Straw, Isabel, Callison-Burch, Chris
    Publicado 2020
    “…Our approach systematically evaluates each stage of model development to explore how biases arise from a clinical, data science and linguistic perspective. DESIGN/METHODS: A literature review of the uses of NLP in mental health was carried out across multiple disciplinary databases with defined Mesh terms and keywords. …”
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    Artificial Intelligence in mental health and the biases of language based models
  20. 1840
    “…The proposed approaches are evaluated using Data Science for COVID-19 (DS4C) dataset. An analysis of DS4C dataset is also provided. …”
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    On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea
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