The Job Market’s First Steps: Using Research Tools to Simplify the Process
The article presents open-source tools using R and LaTeX to automate and simplify the process of collecting job information and preparing application materials for the political science job market.
Why It Matters
The publication begins with a motivating question: How can free and open-source research tools be used to automate and simplify the process of collecting job information and preparing application materials for the political science job market?
Its central contribution is to show that the article presents open-source tools using R and LaTeX to automate and simplify the process of collecting job information and preparing application materials for the political science job market.
It matters because the findings connect institutional choices to the way authority, public responsibility, and political behavior are experienced in practice.
Key Findings
- The muRL package, using R and LaTeX, automates the extraction of job data from APSA’s eJobs and the creation of customized application letters and mailing labels.
- Automating these tasks reduces manual data entry, saves time, and helps prevent errors in job applications.
- The tools are flexible and can be adapted for other mail-merge tasks, such as letters of recommendation.
Research Design
- Design
- Article
- Data
- APSA eJobs listings
- Geography
- United States
- Unit of Analysis
- job postings
- Methods
- Development and demonstration of open-source software tools (muRL) in R and LaTeX.; Step-by-step procedural description for automating data collection and letter generation.
Full Abstract
This article introduces free and open-source tools to automate the collection of job information and the generation of application materials for the political science job market. The authors describe how to use R and LaTeX to minimize manual data entry, extract job data from APSA’s eJobs, and produce customized letters and mailing labels, thereby streamlining the application process for job seekers.
Citation
PS: Political Science and Politics 44 (2): 385-391.
- Venue
- PS: Political Science & Politics
- Volume
- 44
- Issue
- 2
- Pages
- 385-391
- DOI
- 10.1017/S1049096511000230