For this grant, we will focus on the Neighborhood Networks - specifically how to ensure trust of the algorithms directing the discovery process. Studies (both peer-reviewed scientific research and our user research) show that users trust a platform more when they feel they have an active role in how its algorithm works.

Thus, we have been chatting with https://reliabl.ai/ to see if we can incorporate their group data annotations system onto our platform. This is the first step to stronger collective sense-making as a neighborhood, with the goal to make:
a) logistical information (e.g. 'what kinds of permits do we need to plan a block party?') easier to find and 
b) recommendations for matchmaking between neighbors - Network Stewards decide which of these recommendations to use as the neighborhood 'party hosts,' introducing people to each other

With a grant of ~$4,000, we will be able to ask Reliabl to organize co-design sessions with users & potential users, develop an initial tag library, and create UX wireframes for both admins (Network Stewards).

Any extra funds will go towards software development costs (~$22k if Reliabl completes this, though we will do this internally if needed) for the build: both front-end functionality and back-end database structuring.