The Data Blog from the World Bank has posted several charts showing different trends in poverty:
Archive for the 'Areas (Subject)' Category
Page 2 of 97
How One 19-Year-Old Illinois Man Is Distorting National Polling Averages
New York Times | Nate Cohn @Nate_Cohn
October 12, 2016
This is a nice illustration of the decisions polls make when they weight their respondents. The authors disagree with the decisions of the USC/LA-Times pollsters, but applaud them for transparency:
It’s worth noting that this analysis is possible only because the poll is extremely and admirably transparent: It has published a data set and the documentation necessary to replicate the survey.
The article has multiple illustrations of what the trend of national Trump support would have been with different weighting decisions. Check it out.
Anna Maria Barry-Jester has a piece in FiveThirtyEight examining the rate of hepatitis C & treatment in prisons by state.
The Federal Bureau of Prisons has guidelines for treating prisoners that include providing the new drugs. But the vast majority of U.S. prisoners are held in state facilities; about 1.4 million people are in state prisons, compared with about 191,000 in federal prisons.
Nathan Yau at Flowing Data points out two tools for making cartograms. One from Pitch Interactive, which allows you to upload state-by-state data and the tool creates the map. Another from Bhaskar V. Karambelkar at RPubs lets you create the map in R.
Gary King, Director for the Institute for Quantitative Social Science at Harvard University spoke at a recent Michigan Institute for Data Science (MIDAS) symposium. Below are links to the slides and a video of the presentation.
Slides | Video
For those who don’t want to watch the entire presentation, here are links to specific papers and/or software he mentions in the presentation.
Automated Text Analysis
VA: Verbal Autopsy [software]
Evaluating U.S. Social Security Administration Forecasts
Learning Catalytics [commercial start-up]
Crimson Hexagon: Social Media Insights [commercial start-up]
Perusall [commercial start-up, e-book platform to increase student engagement]
And, it might be more productive to just go through King’s personal website to find the content yourself. The above is just a fraction of his productivity.
A new post by Richard Hodes on the Inside NIA blog discusses the increase in public interest and funding in recent years, which allowed the NIA to approve 26 concept proposals for funding opportunities.
We expect to have a record number of new FOAs coming out over the next few months. The FOAs that will result from these concept proposals involve every NIA division; in a number of cases, two or more divisions will be co-sponsoring an FOA. The list of concepts is available online. Please take a look and start to think about the kinds of projects or studies you might propose.
We anticipate releasing the first group of these FOAs in the next four to six weeks. Others will follow over the next two to three months. We’ll be writing about each group in this blog, as well as announcing them in other venues.
If approved, the new category would appear on the 2020 Census and could have far-reaching implications for racial identity, anti-discrimination laws and health research. Currently, people from the Middle East are categorized as white: this was the result of a ruling a century ago in which Syrian Americans argued against being in the Asian category and therefore denied citizenship under the 1882 Chinese Exclusion Act. Read more from USA Today: White House wants to add new racial category for Middle Eastern people.
ICPSR is uploading videos from it’s 2016 data fair to YouTube. Videos include:
- A Thoroughly Gentle Introduction to Methods Metadata!
- Open (Data) is Not Enough – Research Data Curation for Data Reuse
- Collaborating for Open Data Access AND Data Reuse ? How do we do it?
- Assisting Researchers Demonstrate Impact Using Data-Related Publications
…And many more!
Daniel W. Belsky writes in today’s NIH OBSSR blog about a study on the developmental and behavioral paths which connect DNA sequences with life outcomes:
We studied a cohort of 1,037 individuals all born in 1972-3 and followed-up at regular intervals through their 38th year of life: The Dunedin Study. We started at the end. We asked whether children born with a higher complement of education-associated genetic variants were better off four decades later as compared to their peers who carried fewer of these genetic variants. They were. At age 38 years, Study members who carried more of the education-associated variants had more prestigious jobs, higher incomes, better credit scores, fewer financial problems, and so on. In fact, even among Study members who completed the same level of education, those who carried more of the genetic variants we studied achieved better socioeconomic outcomes. In other words, the genetics we were studying were not the genetics of education only. Instead, these genetics predicted a broad pattern of socioeconomic success.