Jens von Bergmann. (2021, December 14). Every time a new variant with a selective advantage is making the rounds, but especially this time. Https://t.co/fDEq54nHCl [Tweet]. @vb_jens. https://twitter.com/vb_jens/status/1470604121640030214

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The problem with Machine learning in my eyes seems to be the non-transparency in the field. After all what makes the data we are researching valuable. If he collect so much data why is only .5% being studied? There seems to be a lot missing and big opportunities here that aren't being used properly.

Stephan Lewandowsky. (2021, March 6). 25 March deadline for submissions to our ‘special track’ https://t.co/qwLxCCSjks at Data for Policy conference, 14-16 September at UCL. Please consider submitting @SciBeh @stefanmherzog @Sander_vdLinden https://t.co/A8KSC1Tkh9 [Tweet]. @STWorg. https://twitter.com/STWorg/status/1368280722709110789

Cepelewicz, J. (n.d.). The Hard Lessons of Modeling the Coronavirus Pandemic. Quanta Magazine. Retrieved February 11, 2021, from https://www.quantamagazine.org/the-hard-lessons-of-modeling-the-coronavirus-pandemic-20210128/

McCabe, Stefan, Leo Torres, Timothy LaRock, Syed Arefinul Haque, Chia-Hung Yang, Harrison Hartle, and Brennan Klein. ‘Netrd: A Library for Network Reconstruction and Graph Distances’. ArXiv:2010.16019 [Physics], 29 October 2020. http://arxiv.org/abs/2010.16019.