Showing posts with label statistics. Show all posts
Showing posts with label statistics. Show all posts

December 11, 2012

We're also hiring a researcher in spatial statistics!

In addition to our new position in Internet Geography, we are now also hiring a full-time five-month researcher to study the geographies of user-generated content and participation on Wikipedia. We specifically seek to employ a researcher with experience in quantitative geography or quantitative sociology in order to statistically explain national and sub-national patterns and geographies of Wikipedia articles and editing behaviour.

Across the globe, daily economic, social and political activities increasingly revolve around the use of social content on the Internet. This user-generated content influences our understandings of, and interactions with, our social environment. Despite rapid increase in Internet access, there are indications that many people remain largely absent from websites and services, and many voices are absent from important platforms of information.

We explore this phenomenon through one of the world's most visible and most accessed source of content: Wikipedia. This project will employ a range of (primarily quantitative) methods to assess, explain, and model the variable levels of access, participation and representation on Wikipedia.

Candidates should have a keen interest in platforms of peer-production and the geographies of online participation. We welcome applications from candidates with a background in statistical methods, a strong record of scholarly research, and a desire to co-author academic publications.

Based at the Oxford Internet Institute, this position is available immediately for five months in the first instance, with the possibility of renewal thereafter funding permitting.

Applications for this vacancy are to be made online. To apply for this role and for further details, including a job description and selection criteria, please click on the following link: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=105871

Only applications received before 12:00 midday on 14th January 2013 can be considered. Interviews for those short-listed are currently planned to take place in the week commencing 21st January 2013.

Please also feel free to get in touch with any questions about the position. 

July 19, 2010

Obesity, Beer and Christianity: Or Correlation does not equal causation

One of the basic rules in statistical analysis is that correlation does not equal causation. But in the hot days of a Kentucky summer one often gives into temptation, especially if the graphs look good.

We therefore leave it to our readers to jump to the unsupported causal relationship. Sorry, you'll have to work/think through this one yourself.

Y-axis: Percentage of a state's population that is Obese
X- axis: Number of Placemarks with
Keyword Beer / Total number of Placemarks

Bivaritate correlation (-0.45)


Y-axis: Percentage of a state's population that is Obese
X- axis: Number of Placemarks
with Keyword Christianity / Total number of Placemarks
Bivaritate correlation (0.729)



Although the nature of the graphs invite one to believe that Christianity is somehow responsible for obesity this is no doubt a spurious correlation. It is well known that obesity and religious practice are strongly related to income. One can see this in which states are clustered at the extremes.

Why places with a high percentage of beer reference are less obese is a bit more difficult to explain.

Don't worry, we have more. We particularly like relationship between placemarks with the terms falafel and feminist.