- Sep 2021
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fs.blog fs.blog
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Scott Sampson has argued that we should subjectify nature rather than objectifying it. People are a part of nature and integral to it. We are not separate from it and we are assuredly not above it.
Can the injection of multi-disciplinary research and areas like big history help us to see the bigger picture? How have indigenous and oral cultures managed to do so much better than us at this? Is it the way we've done science in the past? Is it our political structures?
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- Jun 2021
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www.khanacademy.org www.khanacademy.org
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Running time is asymptotically tight bound. "Asymptotically" because it matters for only large values of nnn. "Tight bound" because we've nailed the running time to within a constant factor above and below.
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Running time has lower bound and upper bound once the number of computations get large enough.
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Computation takes time to run. The notation used for running time of computations is Big-Theta.
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- Mar 2021
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psyarxiv.com psyarxiv.com
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Airaksinen, J., Komulainen, K., Jokela, M., & Gluschkoff, K. (2021). Big Five personality traits and COVID-19 precautionary behaviors among older adults in Europe [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/rvbjf
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- Feb 2021
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behavioralscientist.org behavioralscientist.org
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Imagining the Next Decade of Behavioral Science. (2020, January 20). Behavioral Scientist. https://behavioralscientist.org/imagining-the-next-decade-future-of-behavioral-science/
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- Jan 2021
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psyarxiv.com psyarxiv.com
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Zacher, H., & Rudolph, C. (2021, January 26). Big Five Traits as Predictors of Stressfulness During the COVID-19 Pandemic. https://doi.org/10.31234/osf.io/nyd8a
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- Oct 2020
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www.mdpi.com www.mdpi.com
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Brous, P., & Janssen, M. (2020). Trusted Decision-Making: Data Governance for Creating Trust in Data Science Decision Outcomes. Administrative Sciences, 10(4), 81. https://doi.org/10.3390/admsci10040081
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www.coe.int www.coe.int
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AI and control of Covid-19 coronavirus. (n.d.). Artificial Intelligence. Retrieved October 15, 2020, from https://www.coe.int/en/web/artificial-intelligence/ai-and-control-of-covid-19-coronavirus
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www.theguardian.com www.theguardian.com
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Davis, N., & Boseley, S. (2020, October 9). Coronavirus: At least three-quarters of people in UK fail to self-isolate. The Guardian. https://www.theguardian.com/world/2020/oct/09/covid-in-england-latest-figures-suggest
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- Sep 2020
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Obradovich, N., Özak, Ö., Martín, I., Ortuño-Ortín, I., Awad, E., Cebrián, M., Cuevas, R., Desmet, K., Rahwan, I., & Cuevas, Á. (2020). Expanding the measurement of culture with a sample of two billion humans [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/qkf42
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- Aug 2020
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advances.sciencemag.org advances.sciencemag.org
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Green, J., Edgerton, J., Naftel, D., Shoub, K., & Cranmer, S. J. (2020). Elusive consensus: Polarization in elite communication on the COVID-19 pandemic. Science Advances, eabc2717. https://doi.org/10.1126/sciadv.abc2717
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Peterson, David, and Aaron Panofsky. ‘Metascience as a Scientific Social Movement’. Preprint. SocArXiv, 4 August 2020. https://doi.org/10.31235/osf.io/4dsqa.
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- Jul 2020
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osf.io osf.io
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La, V.-P., Pham, T.-H., Ho, T. M., Hoàng, N. M., Linh, N. P. K., Vuong, T.-T., Nguyen, H.-K. T., Tran, T., Van Quy, K., Ho, T. M., & Vuong, Q.-H. (2020). Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/cfw8x
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twitter.com twitter.com
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Science Magazine on Twitter: “Democrats & Republicans have seemingly taken a divided stance on how to handle the #COVID19 pandemic, & their Twitter accounts might provide the best evidence to date. Watch the latest video from our #coronavirus series on research from @ScienceAdvances: https://t.co/BSCdWS011J https://t.co/sJyF357wje” / Twitter. (n.d.). Twitter. Retrieved June 27, 2020, from https://twitter.com/sciencemagazine/status/1276282194596675590
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www.sciencedirect.com www.sciencedirect.com
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Fontana, M., Iori, M., Montobbio, F., & Sinatra, R. (2020). New and atypical combinations: An assessment of novelty and interdisciplinarity. Research Policy, 49(7), 104063. https://doi.org/10.1016/j.respol.2020.104063
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- May 2020
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www.nature.com www.nature.com
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Zdeborová, L. (2020). Understanding deep learning is also a job for physicists. Nature Physics, 1–3. https://doi.org/10.1038/s41567-020-0929-2
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leedsunilibrary.wordpress.com leedsunilibrary.wordpress.com
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The Ethics of Online Research. (2018, August 30). Leeds University Library Blog. https://leedsunilibrary.wordpress.com/2018/08/30/the-ethics-of-online-research/
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- Jun 2016
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Local file Local file
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After World War II, collaboration became a defin-ing feature of ‘big science’ (Bordons & Gomez, 2000;Cronin, 1995, pp. 4 –13; Katz & Martin, 1997).
collaboration becomes a defining feature of "big science" after the war.
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- Jan 2016
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courses.csail.mit.edu courses.csail.mit.edu
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50 Years of Data Science, David Donoho<br> 2015, 41 pages
This paper reviews some ingredients of the current "Data Science moment", including recent commentary about data science in the popular media, and about how/whether Data Science is really di fferent from Statistics.
The now-contemplated fi eld of Data Science amounts to a superset of the fi elds of statistics and machine learning which adds some technology for 'scaling up' to 'big data'.
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