Jobhopper is an application for analyzing and querying career mobility and outside options data set to help workers, public sector professionals, and policymakers to improve career training, career paths, and career mobility options. GERONIMO!
Many workers have limited outside options for career and wage progression outside their current occupations. The quality of outside options matter for workers’ wages but limited data exists to provide guidance and training to workers on occupational mobility and outside-options (Monopsony and Outside Options. Schubert, Stansbury,and Taska. Harvard University, March 2020). The problem that we are tryingto solve is to provide better insight than standard data sets for improving occupational mobility options, improving worker wages, and improving policies related to investments and training.
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Install Python 3.7.
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Install virtualenv from
pip:python3.7 -m pip install virtualenv
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Clone this repo to local:
git clone https://github.com/codeforboston/jobhopper.git
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Create a virtual environment of Python 3.7 in the root of the local repo:
cd jobhopper python3.7 -m virtualenv --python=3.7 venv -
Activate venv:
. ./venv/bin/activate -
Install project dependencies from
requirements.txt:pip install -r requirements.txt
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Create a personal
.envfile to include environment variables for the app: (Note: Don't include.envin commit, thus it's in.gitignore):SECRET_KEY=[Insert a generated key]
You can get your own 50 character secret key from here.
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Now run the server via this script:
python manage.py runserver
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Create Postgres DB:
python manage.py migrate
python manage.py makemigrations jobs
python manage.py migrate- How might we enable citizens to have better information about the career paths that they could move into from their current job?
- How can citizens weigh and negotiate options for a new career path?
- How might we equip policymakers with labor market data?
- How might we identify where the labor market is headed and what skills and abilities are needed in the new jobs?
- How might we equip workforce development systems with job transfer data to understand regional trends in employee movements?
- occupational trends in their national, regional, or local labor market
- what skills and abilities their area has, and what it might need in the future
- how their local labor market might respond to positive or negative shocks
TBD
| Front End: | Logic & Data Processing: | Database: |
|---|---|---|
| TBD | TBD | TBD |
TBD
- Data Used for March 2020 Paper "Monopsony and Outside Options"
- Massachusetts Publicly Available Occupational Data
- BLS - Occupational Employment Statistics
- BLS - Current Population Survey
- BLS - Databases, Tables, & Calculators by Subject
- 2020-03 - Monopsony and Outside Options Gregor Schubert, Anna Stansbury, and Bledi Taska
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Sections of Note:
- p.13 to p.19, from "Using occupational transitions to identify outside-occupation options" to "4 Empirical Approach"
- p.41 to p.47 Appendix Chapter A Burning Glass Technologies Resume Data
- p. 62 to p. 69 Appendix Figures A1-A10
- p. 75 to p.76 Appendix Tables A1 and A2
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Linked Here
- Dice - A good visualization example of what our clients may want for job/career profiles
Are you looking to join the project? If so please familiarize yourself with the available documents and links in the "Data Sources & Relevant Links" section above.
Once you've reviewed those links, please complete a new row in the following Google sheet so we may better understand your background and present interests in the project: