About Who Lands Tenure Track Jobs

What is WLTTJ?

This is a study of the 2016-2017 tenure track job market.  We’re collecting just tenure track jobs at four year institutions in North America.  This means no community college jobs, no visiting assistant professors.  We’re interested in who is landing the jobs most graduate students imagine they will be eligible for upon graduation – Assistant Professor.

Right now, we’ll focus on three disciplines: Anthropology, English Literature, and History. With enough community support, we’ll expand and include: Communications & Media Studies, Ecology, Economics, Mathematics, Philosophy, Psychology, and Religious Studies.

Why these disciplines?

We have comparable data from 2013-2014.  For two years, Maren worked on a data project for the Chronicle of Higher Education called JobTracker.   She chose a selection of disciplines that cut across humanities, social sciences, and STEM.  We also selected disciplines that had active job wikis.  Based on interest, we may expand to include other disciplines in the future.

How are you collecting data?

Jobs are entered into an excel spread sheet.  We’re collecting: hiring institution, hiring department, broad area of specialization, and rank advertised.  From there, we’ll add Carnegie Classification, region, and state/province.  This will help us answer: where are the jobs? Are jobs at research or teaching institutions? And to look at mobility – do schools favour PhDs from their own regions?

Once we have a list of jobs, we’ll hit university websites and figure out who was hired. We’ll look at university press releases, department websites, databases maintained by professional organizations, twitter and facebook announcements, linkedin profiles … basically any publicly available data that can tell us who landed the job.

Once we learn who was hired, we’ll look at their profile on academia.edu, LinkedIn or Vitae, or look them up in WorldCat to learn where they earned their PhD and year they graduated.   We’ll use pictures, names, and pronouns to infer gender (man, woman, genderqueer).  Because race is a self-identified category, we won’t collect race or nationality.  When Maren used this method of research, she found about 75% of the jobs in her 2013-2014 sample.

How will I learn about the findings?

Maren will update this website, put findings out on twitter, conduct webinars, and publish findings in online publications. Join our mailing list or follow Maren on twitter.

You’re asking for money.  Why? How will it be spent?

Money will support the original research of this project and those who work on it. Contributions will allow Maren to focus on this project instead of other paid work.  If we raise enough money, we’ll hire a research assistant.  So, please consider contributing.

Are contributions tax deductible?

No. Beyond Prof is an LLC.  Think of your contribution more akin to subscribing to a blog or online publication.