Dallinger¶
Dallinger is a tool to automate experiments that use combinations of automated bots and human subjects recruited on platforms like Mechanical Turk.
Dallinger allows crowd sourced experiments to be abstracted into single function calls that can be inserted into higher-order algorithms. It fully automates the process of recruiting participants, obtaining informed consent, arranging participants into a network, running the experiment, coordinating communication, recording and managing the data, and paying the participants.
The Dallinger technology stack consists of: Python, Redis, Web Sockets, Heroku, AWS, Mechanical Turk, boto, Flask, PostgreSQL, SQLAlchemy, Gunicorn, Pytest and gevent among others.
User Documentation¶
These documentation topics are intended to assist people who are attempting to launch experiments and analyse their data. They cover the basics of installing and setting up Dallinger, as well as use of the command line tools.
User Documentation
- Installation
- Installing Dallinger with Anaconda
- Setting Up AWS, Mechanical Turk, and Heroku
- Demoing Dallinger
- Command-Line Utility
- Configuration
- Email Notification Setup
- Running Experiments Programmatically
- Monitoring a Live Experiment
- Experiment Data
- Viewing the PostgreSQL Database
- Running bots as participants
- Registration on the OSF
- Troubleshooting
Experiment Author Documentation¶
These documentation topics build on the previous set to include help with designing new experiments for others to use.
Core Contribution Documentation¶
This section covers extra topics relevant to those wishing to contribute to the development of Dallinger itself. This is not needed in order to develop new experiments. Follow the Developer Installation process from the previous section to get started.
Core Contribution Documentation
General Information¶
General Information