Political conventions focus attention on strong partisans. But not all Americans call themselves Democrats or Republicans, or for that matter Libertarians or Greens. Many prefer to think of themselves as Independents.
With the McCourtney “Mood of the Nation Poll,” we can look at these Independents in a unique way. The poll is a scientific survey that allows ordinary citizens to tell us what is on their minds, without being restricted to a small number of predetermined answers. It also includes standard polling questions such as party identification, allowing us to see who these independents are and what they are thinking about this campaign. The most recent poll posed a series of open-ended questions to a representative sample of 1,000 Americans between June 15-22.
Determining who is an Independent is not straightforward. CNN, in its post-convention survey, reports that “28 percent described themselves as Democrats, 24 percent described themselves as Republicans, and 48 percent described themselves as independents or members of another party.” This is not far from our survey. Our breakdown shows a greater number of Independents (35 percent) than Republicans or Democrats.
What do the Rio Olympics, the United States Marine Corps, and Amazon.com have in common? All need an efficient and effective infrastructure in order to accomplish their objectives.
This infrastructure includes buildings, transportation, inventory, and all related services needed to sustain and/or serve thousands of “customers” in a timely manner.
Reports coming out of Rio suggest that parts of this infrastructure were not well executed. One report cited the lack of electrical outlets in the living quarters for some of the athletes.
Recent news stories also have cited the lack of sewage treatment capacity, allowing thousands of gallons of raw sewage to pour into the waters used by the athletes. Rio did not develop the pipeline infrastructure to divert the sewage to sewage treatment facilities, despite receiving funds to build them.
These are infrastructure issues. Are these instances an oversight or poor execution? In my opinion, they are both.
Markets have been in turmoil for much of the year on concerns the global economy is heading for another recession. The suspected culprits are many: the plunging price of commodities and oil, crisis in the Middle East, a slowing China and other emerging countries, and weak prospects for financial markets in general.
Coming less than a decade since the global financial crisis dealt a devastating blow to economies around the world, the current challenges raise the question of how resilient our societies are to such shocks.
In our own research, we pondered a different question: what factors make one region more resilient than another? The answer could help us understand how to make our economies better able to resist the next shock, be it financial, a natural disaster, or something else.
As Americans grieved after the mass shooting at the Pulse nightclub in Orlando last month, Democrats and Republicans reacted quite differently to the news, according to a new “Mood of the Nation” poll developed by Penn State’s McCourtney Institute for Democracy. Our findings indicate that while this tragedy brought us together as a nation, it also demonstrates the extent that the issue of gun control has come to divide our political parties.
The “Mood of the Nation Poll” is a new periodic scientific poll that assesses opinions by posing a series of open-ended questions to a representative sample of 1,000 Americans. It allows ordinary citizens to tell us what is on their minds, without being restricted to a small number of predetermined answers. The first poll of its kind, we asked 500 people in our sample to tell us what it was in the news that made them angry and what made them proud; we asked another 500 people what in the news made them ashamed or what made them hopeful.
“Big data” is a catchall term for any data set of exceedingly large volume. It could be transaction information at a credit card company, invoice data at an online retailer, meteorological measurements from a weather station. All these data sets have unique characteristics that make it extremely difficult to use conventional computing technologies and techniques to store and process them for analysis. Their variety is daunting, and high velocity is required to handle them in a timely manner.