IBM today announced the 2019 Call for Code grand prize was awarded to Prometeo for developing a health monitoring platform for firefighters. The Barcelona-based team consisting of a nurse, a firefighter, and three developers will receive $200,000 and assistance from IBM and its partners to bring the project to life. TNW's finance, blockchain, and business event is coming up soon Promoteo began as an endeavor by firefighter Joan Herrera. Realizing there were no systems in place to monitor the health of firefighters combating wildfires, Herrera and nurse Vicenç Padró began collecting data by hand. Eventually, they joined forces with three IT professionals, Salomé Valero, Josep Ràfols, and Marco Rodriguez, and the team joined the Call For Code challenge.

AsTeR (Europe) – During natural disasters, emergency call centers are overwhelmed and lack the human resources to deal with the sudden uptick in calls. Project AsTeR helps prioritize these calls based on their level of emergency. Instead of being directly connected to an operator, victims are asked to briefly explain their emergency over the phone. Their responses are then converted to text and analyzed to extract key information, such as the number of victims, type of emergency and location. AsTeR then provides first responders with a map identifying areas with high levels of emergency based on the number of people involved and the type of injuries.

IBM recently debuted technology Starter Kits to aid those joining the company's Call for Code challenge. Anyone interested in starting their machine learning, artificial intelligence, or coding journey should consider this an opportunity to learn with experts and potentially do some good in the world. Call for Code is an IBM challenge that solicits the global developer community for technology solutions to the world's problems. The company's focused on natural disasters this year, and has already held numerous hackathons and events. As a result, we've seen some interesting designs and ideas from the individuals and teams that have so far participated.

Like the hackathon, the code challenge is to build a machine learning based signal classifier that can be used for observations made in real time at the Allen Telescope Array (ATA). The winning classifier of the code challenge will be implemented at the ATA and become part of the data analysis pipeline. The challenge will last from June 1 to July 31st. Submitted entries will be judged based on their classification accuracy, accuracy for low-amplitude signals, and speed of single event classification. More details will be provided later about how to submit your work. THIS IS THE EVENTBRITE FOR THE HACKATHON ONLY! YOU MUST REGISTER FOR THE CODE CHALLENGE SEPARATELY The hackathon in San Francisco is a kick-off event for the code challenge (See below for info on the separate prizes being awarded for each event.)

The SETI Institute of Mountain View is inviting all citizen data scientists and technologists to join us as collaborators in our mission to find intelligent radio signals from beyond our solar system. We are issuing a worldwide, public code challenge and accompanying hackathon for the purpose of expanding our radio-telescope signal classification tools using the latest developments available in machine- and deep-learning. We are looking for signal classification algorithms and models that can accurately identify the various types of radio signals we observe each night. We have constructed a set of simulated signals (thus, they are a labeled training data set) that mimic our observations. A typical analysis approach begins with transforming these simulated data into two-dimensional images.

Save the Date: June 10-11, 2017 Galvanize, San Francisco! The SETI Institute invites all citizen data scientists and technologists to join us as collaborators in our mission to find radio signals from intelligence beyond our Solar System. We are issuing a worldwide public code challenge and accompanying hackathon for the purpose of expanding our radio telescope signal classification tools, using the latest developments in machine- and deep learning. With help from our partners at IBM and Galvanize, we will be launching this code challenge and hackathon this summer. The hackathon will last two full days at the Galvanize office in San Francisco.