Data

How do you measure a neighborhood's progress?

A field report from the River District in Sacramento, California’s capital city.

Clustering litter to collection objects

A guest post on clustering litter collected during the Startup Grind 2020 event by Rubbish. We can use clustering to evaluate the placement of collection objects (i.e, trash cans, etc.), improve on the cleanup policies, and gain insights on the habits of people who throw trash on the ground!

Cross Country Detrashing

Adam drove cross country from New York City to San Francisco and did a rubbish run at each stop.

130,000 Reasons Why Data Science Can Clean Up San Francisco

Armed with trash bags and snazzy-looking smart trash grabbers, aka “ rubbish beams “, the rubbishers have picked up over 130,000 individual pieces of litter over the course of almost a year of regular street cleanings in San Francisco — collecting data all the while on what, where, and when.

The First Conference to Audit Its Litter

Our goal was to make Startup Grind Global 2020 the first conference in the nation to audit their litter and quantify their litter footprint.

How Firebase helps Rubbish clean up San Francisco

By relying on Firebase to store, process, and analyze an increasing amount of data, we feel confident that we can engage and empower individuals, communities, and governments to tackle extensive, seemingly unsolvable problems like litter.

First month of Rubbish on Polk Street (20% reduction in avg. litter!)

This is our first post! We are fully committed to a healthier, cleaner neighborhood — and we want to share some highlights from the first month of our Polk Street Pilot.

An Entrepreneurs' Footprints

What is the impact of hundreds of entrepreneurs on the campus and neighborhood during Y Combinator Startup School? What did its litter footprint look like?