China has had a highly unbalanced sex ratio at birth for years leading to an estimate of 30 to 60 million missing girls. The traditional explanation was male preference, exacerbated by the one-child policy, which led to sex selective abortion and/or infanticide. New research presents evidence that maybe the missing girls were never missing after all.
Researchers may have ‘found’ many of China’s 30 million missing girls
Simon Denyer | Washington Post
November 30, 2016
Delayed Registration and Identifying the “Missing Girls” in China
Yaojiang Shi and John James Kennedy | China Daily
November 15, 2016
Ben Casselman writes in FiveThirtyEight about the ways immigrants help to keep the U.S. population young and keeps the labor force participation at a relatively high rate: Immigrants Are Keeping America Young — And the Economy Growing
A 2-hour workshop on mapping data from Detroit is offered on Thursday, November 3rd on campus. Perhaps as useful is meeting the presenter who is the founder of Detroitography.com a group that is all about maps and geography of Detroit. And, that also means geographically-referenced data.
Workshop: Link to workshop
Detroit Opendata: http://detroitdata.org/
Using the TravelTime Search API to Generate an Isochrone
GIS Lounge | GIS contributor
July 9, 2016
Using the TravelTime platform and some simple code, researchers can map how far people can travel in 30 minutes by public transportation from a specific address. This is more realistic than radius circles because these don’t take into account roads, bus routes, etc.
The TravelTime platform includes several countries, including US coasts.
Help! I’m an Accidental Government Information Librarian Webinars
These monthly webinars out of the North Carolina Library Association provide a good introduction introduction to all sorts of data products by subject experts: APIs, mapping, UN data, global trade, court records, etc. Folks can sign up and watch the presentation in real time or as a recording. Slides are available for all presentations.
Jeremy Darrington’s webinar on election data is up on YouTube. You can also see his slides and links on Slideshare.
Altmetrics are metrics and qualitative data that are complementary to citation-based metrics. Some argue that these metrics should be considered in tenure decisions, along with the more traditional metrics of publishing in a high impact journal with many citations. Almetrics cover a wider range of materials than just those in professional journals – websites, blogs, materials in repositories like figshare or GitHub. It also covers more than citations, such as views and downloads.
How to Use Altmetrics to Showcase Engagement Efforts for Promotion and Tenure
Stacy Konkiel | Altmetric Blog
October 18, 2016
This blogpost from the Altmetric site, shows how Altmetrics can be incorporated into a traditional tenure document.
And an even more informative article on Altmetrics is a summary written by Yan Fu in a PSC news report:
Altmetrics: New Ways to Measure the Impact of Research Products
Yan Fu | PSC Center News
[Link to Undercover Historian blog]
The Undercover Historian
Beatrice Cherrier | blog
This is a blog by Beatrice Cherrier, an historian of economics. It has been in existence since 2011 and has a wealth of information about the history of the field of economics. And, no I don’t know what her quote about “pig-headed” is referencing.
The Data Blog from the World Bank has posted several charts showing different trends in poverty:
How One 19-Year-Old Illinois Man Is Distorting National Polling Averages
New York Times | Nate Cohn @Nate_Cohn
October 12, 2016
[Link to NYT article]
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.