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For this assignment, you will actively read and annotate our textbook as noted in the unit overview. Each reading assignment has its own PROMPT including a set number of required annotations depending on the length and complexity of the reading.
The nomenclature for each assignment tells you the module it belongs to. For example, “M1, Reading 1, Gerber 2020” stands for an assignment that is part of Module 1–should be read first–article reference. These “odd” assignment titles come from the fact that assignment names have to be identical in Perusall and Canvas (and short for the grade book).
For this assignment, post at least 7 annotations which engage with the material (see the Perusall scoring rubric for the way your annotations are graded), all of which must be directly related to the prompt (see below). Write in complete sentences. You are free to annotate more but there must be at least 7 annotations directly related to the prompt below.
The top 7 posts you make will count towards your grade (more will give you a buffer). In addition, you may comment/annotate/question/etc. anywhere as much as you’d like. These are minimums. Add your thoughts and discuss things with your peers!
Make sure you annotate the whole range of pages assigned. Points will be deducted if all of your annotations are in just one section. Your initial posts have to be completed before the deadline. No late posts count. Perusall allows you to respond to existing conversations for a week after the deadline, but these don’t count for full credit.
Notes for success: Perusall organizes you in study groups. Using Perusall means that you can chat with each other, highlight and discuss concepts together, and get and give help where you need it. Take advantage of your peers and the platform to have real discussions.
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In Chapters 3 and 4, Meyer and Kunreuther (2017) provide an overview of the various biases undermining sound disaster preparedness and mitigation decisions.
Can you relate to the events and/or biases described?
Have you or a close relative experienced something similar?
How does the described bias affect hazard mitigation and long-term disaster risk reduction?
What can/should be done to overcome the described challenges?
In your view, what is most helpful about this discussion?
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