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Abstract
deductive skills to predict what the impact of the Covid-19 pandemic will be. In short, what do you tnk the world will look like in a year or two? I’ve heard many people make comments that begin with sometng like, “When we return to normal,” and I’ve heard other people ask questions like, “What is our new normal

Required Length: Ts assignment asks you to use your analytical and deductive skills to predict what the impact of the Covid-19 pandemic will be. In short, what do you tnk the world will look like in a year or two? I’ve heard many people make comments that begin with sometng like, “When we return to normal,” and I’ve heard other people ask questions like, “What is our new normal going to be”? I want your papers to engage in ts discussion. How will our world (society, culture, legal systems/policies, economics, etc.) change as a result of the 2020 global pandemic? What reasons do you use to draw the conclusions that you do? Ultimately, you need to substantiate, slowly and logically, why you can predict the changes or continuities in our society? Be sure to have a specific thesis that you support with unified and focused body paragraphs. Any use of your grade by . Avoid “to be” verbs and vague language. Do not use any research in ts paper: the point is to get you tnking. I want to see your ideas, not the ideas of statisticians, bureaucrats, academics, or celebrities. I will take off points if you use outside research.

Sample references
  • (‘Bates, DW, Kuperman, GJ, Wang, S, Gandhi, T, Kittler, A ,Volk, L, Spurr, C, Khorasani, R, Tanasijevic, M & Middleton, B. 2003. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J. Am. Med. Informatics Assoc. 10: 523-30 ‘,)
  • (‘Farrell, A. E., and J. Jäger, eds. 2005. Assessments of Regional and Global Environmental Risks: Designing Processes for the Effective Use of Science in Decisionmaking. Washington, DC: RFF Press.’,)
  • (‘Bamber, J. L., R. L. Layberry, and S. P. Gogineni. 2001. A new ice thickness and bedrock data set for the Greenland ice sheet, measurement, data reduction, and errors. Journal of Geophysical Research 106(D24):33773-33733, 33780.’,)
  • (‘Helfrich, C. D., Li, Y.-F., Sharp, N. D., & Sales, A. E. (2009). Organizational readiness tochange assessment (ORCA): Development of an instrument based on thePromoting Action on Research in Health Services (PARIHS) framework.Implementation Science, 4(38), 38.276’,)

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