Abstract
Big science is bringing unprecedented progress in many fundamental fields, such as biology and medicine. While progress cannot be questioned, when looking at the foundations and models of big science one wonders if such new approach is in contrast with critical thinking and model-driven scientific methods—which has shaped for decades higher education in science, including computer science. In this paper, after a discussion on how big science is shaping drug discovery and modern biology, I trace the start of this new interest on data science as outcome of the “fourth paradigm” and I discuss how CS education is changing due to the impact of big science, and question where/how it will be hosted within universities and if Academia is a good fit for data scientists.
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References
1000 Genomes Project Consortium et al (2010) A map of human genome variation from population-scale sequencing. Nature 467:1061–1073
Banerjee B, Ceri S (eds) (2015) Building innovation leaders: a global perspective. Understanding innovation. Springer, Cham
Bayer (2015) From molecules to medicine. http://pharma.bayer.com/en/research-and-development/technologies/small-and-large-molecules/index.php. Retrieved 15 July 2015
Data Sciences @ Berkeley (2015) The undergraduate experience. http://ls.berkeley.edu/files/file/Data%20Sciences%20Education%20Sketch%201.2_0.pdf. Retrieved 11 Nov 2015
ENCODE Project Consortium (2012) An integrated encyclopedia of DNA elements in the human genome. Nature 489(7414):57–74
Hey T, Tansley S, Tolle K (eds) (2009) The fourth paradigm: data-intensive scientific discovery. Microsoft Research, Redmond
Paradigm 4 (2015) Accelerating bioinformatics research with new software for big data knowledge. White paper. http://www.paradigm4.com/, April 2015
Weinstein JN et al (2013) The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45(10):1113–1120
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Ceri, S. (2017). On the Big Impact of “Big Computer Science”. In: Werthner, H., van Harmelen, F. (eds) Informatics in the Future. Springer, Cham. https://doi.org/10.1007/978-3-319-55735-9_2
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DOI: https://doi.org/10.1007/978-3-319-55735-9_2
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