Where should we place the blame for the great depression? | amh2020

 Where should we place the blame?  Economists believe the Great Depression was caused by the weaknesses in the 1920s economy, but the person whose name will be forever linked to the depression is President Herbert Hoover.  Personally blaming him for the crisis, Americans started to call the shantytowns set up by unemployed people “Hoovervilles.”  

QUESTION: Hoover’s presidency will be forever shadowed by the Great Depression.  Is it fair to blame Hoover’s actions or inaction for the Great Depression?

Big Data Risks and Rewards

When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee.
From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth.
As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards.
To Prepare:

Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs.
Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed.

Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples.
 
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Opposite Argument Discussion Post

This is an informal discussion. I’m asking you all to write an essay that takes a stand for something you disagree with. You need to write this essay from the point of view of your opposition. Why am I having you do this? Think carefully about this. I would not ask you to write the opposite argument essay if I did not think it is important. Why is it important? Where do we see this in the “real world”? Where do we not see this in the “real world”?