akehashiProject Sidewalk
Project Sidewalk combines remote crowdsourcing + machine learning to map the accessibility of the world. Crowd workers virtually walk through cities labeling inaccessible areas. Collected data is used...
HuMaIN (Human- and Machine-Intelligent Software Elements for Cost-Effective Scientific Data Digitization)
In the era of data-intensive scientific discovery, Big Data scientists in all communities spend the majority of their time and effort collecting, integrating, curating, transforming, and assessing qua...
Hunch and Crunch
Combining human intuition and experience (hunch) with big data analytics (crunch) in an feedback loop of scientific discovery.
Feature Hunter
The Earth Science and Remote Sensing Unit at NASA's Johnson Space Center maintains an enormous collection of over four million astronaut photographs of Earth, spanning manned spaceflight from the ...
Space Warps
Crowd-sourcing the discovery of gravitational lenses in astronomical survey images
Season Spotter
We need you to look at images taken by a network of automated cameras for signs of changing seasons. By identifying images with changing leaves, blooming flowers, and other easy-to-identify features, ...
Citizen Science uncovers Brooklyn Atlantis: An inter-disciplinary exploration of the dynamics of networks of humans and machines in peer production settings
This project lays the foundations for the analysis and design of peer production systems consisting of socially interacting volunteers and machines that jointly perform distributed tasks. The envision...
Twitch Plays Robotics.
How can we train robots to act autonomously, but also safely? We attempted to do by allowing the crowd, through the internet, to train robots, just as we do our children and our pets. This allows robo...
Harnessing human intelligence for mapping on custom reconfigurable architectures
The main thrust of this research is to discover novel mapping algorithms by making use of human intuition and ability to recognize patterns and opportunities even in complex problems.
The Advanced Rapid Imaging and Analysis Project (ARIA) Damage Validation Project
The Advanced Rapid Imaging and Analysis Project at NASA's Jet Propulsion Laboratory and the California Institute of Technology develops algorithms and a system to automatically respond to natural ...
Coordination of Opportunistic Actions to Produce Globally Effective Behaviors for Physical Crowdsourcing
This project will develop theory, algorithms, and example systems for motivating large numbers of autonomous individuals to solve problems that require coordination in the physical world. In these ph...
Closing the Loop: Generating Disambiguating Paraphrases for Crowd-Sourced Annotation of Structurally Ambiguous Sentences
This project investigates methods of using natural language generation to automatically produce disambiguating paraphrases of structurally ambiguous sentences in order to enable crowd-sourcing of data...