The inroads team is looking for a consultant experienced in developing learning algorithms and tools to be used by movement activists and researchers. This person will work collaboratively with the inroads team to build-out the categorization and suggestion functions of the inroads Sentiment Gatherer and Platform for Real-time Sentiment Visualization. The project will include a. the assessment of the current linguistic and sentiment analysis used by the tool; b. developing the algorithms or other technologies to allow users to add to and teach the Sentiment Gatherer; c. contributing to the planned interaction of users with the dictionary, taxonomy, and tool’s learning mechanisms; and d. participating in testing, design, and development review to ensure the user experience and learning elements of the tool go hand in hand.
The International Network for the Reduction of Abortion Discrimination and Stigma (inroads) created the “Sentiment Gatherer” to allow individuals to share their personal sentiments about abortion anonymously while adding to a collective, public representation of the group sentiments and associations with abortion. The goal of the project is to use machine learning principles to enable the broader use and deeper real-time analysis of data by users of the inroads Sentiment Gatherer.
The tool was piloted in March 2018 when inroads hosted the 2nd inroads Global Member Gathering in Zagreb, Croatia. Subsequently the tool has been used in a variety of online, local workshops, and global meeting settings throughout Africa, Latin America, Europe, Asia, and North America. The existing dictionary was developed through analysis of community spaces and manually updated based on user interaction. The taxonomy was developed in analysis of community spaces and needs to be applied to the dictionary manually as well. While the manual work was sustainable for small gatherings and a full staff, the desire of inroads members and partners to use the tool themselves and in larger settings has led us to an exciting new phase of development. We are pleased to be working with a large health organization to build the Sentiment Gatherer and Visualizer out into a smarter technology with fewer administrative costs to be used in healthcare, policy, and advocacy training, research, and debate.
Consultant will work as the Natural Language Processing Engineer, contributing to the iterative redesign and development of the inroads Sentiment Gatherer into a self-contained, learning technology.
Expected period of performance 30 October 2019 through 15 June 2020, with bulk of the work taking place 30 October 2019- 1 February 2020 (brief participation in final testing and design/development input to continue into mid 2020.
For the above work and any further duties and any additional tasks as agreed between Consultant and project team, the project budget is in the range between $9,500 and $15,500 (USD).
Though inroads does not expect any travel costs for Consultant, the project team will cover reasonable expenses directly associated with the project, to be discussed and approved by project lead prior to expenditures.
Send the following in an email with “Machine Learning and NLP: Sentiment Gatherer” in the subject line to firstname.lastname@example.org by 30 October no later than 1pm EST/ 10am PST/ 6pm GMT.
Questions can also be sent to the above email address with a 48 hour turn around time for answers.