This project will create a portable reading device – MyReadingTablet (MRT) – equipped with breakthrough WordSwitch technology, which will allow diverse learners to successfully navigate complex texts despite limited reading proficiencies. The hundreds of e-books pre-loaded on MRT will feature a variety of topics/genres to spark curiosity and maintain young children’s reading motivation. The most innovative aspect of the solar-power enhanced MRT is the reader’s ability to adjust the reading level of the e-books. Currently, most reading tablets offer unknown words to be clicked on and defined using an online dictionary, which is helpful for adult readers but somewhat impractical for beginning readers. Presently, there is no existing technology that provides for unknown words to be switched for another word, let alone a word of an easier readability with the same meaning. This aspect of MRT sets it apart from other devices and will revolutionize digital reading for beginning readers. (Note: This project originally won in the Big Ideas “Mobiles for Reading” category)
This project employs local teachers to create and teach reading materials that integrate Haiti’s mother-tongue language and native culture. At its core, it is a software application that enables writers to create books for beginning readers using a systematic phonics approach. Based on customized wordlists for sequential texts that start with the most basic letter-sound patterns and build to more complex ones, the app recommends or discourages words based on the level of reader the teacher is writing for. The books will be stored digitally on a server that students access with laptops. The project has selected Lascahobas, Haiti as its pilot location because several elementary schools there have already received laptops that are going unused. Teachers at three schools will use the app to produce books for a reading intervention program that they will then conduct over the summer. The process of creating books for their own classroom based on sound literacy acquisition principles will make them more capable of using these principles in their own classroom. (Note: This project originally won in the Big Ideas “Mobiles for Reading” category)
PINVoice is a communication platform that tackles the problem of wage arrears experienced by construction workers in China with an Interactive Voice Response system. By acting as a virtual intermediary between labor supplier subcontractors and construction workers, PINVoice allows labor supplier subcontractors to reach a much wider range of workers beyond current geographic constraints, and allows workers to connect with many more labor supplier subcontractors. The platform allows workers to diversify their employment options and not be limited to labor supplier subcontractors serving large contractors; through the platform, workers will also have access to small construction or renovation jobs with higher and more timely pay. Also, as a proxy though not a substitute for a written labor contract, the system will allow workers and subcontractors to use the IVR system to record a verbal agreement about terms of employment, which PINVoice will store on the platform for later review should disagreements about salary terms occur.
Gyaan is an ecosystem for collaborative, inquiry-based, leveled reading that merges task-based and storytelling approaches to increase reading comprehension in early-stage readers. To build reading comprehension for early readers in an informal, collaborative, accessible way, the project will create a system that levels texts from existing mobile libraries and recommends them based on the reader’s ability. Within the reading experience, the system will model a Guided Reading lesson with various tasks that check comprehension and encourage collaboration and conversation. These tasks and the comprehension skills and strategies, which they seek to strengthen, will align to one or two sub-tasks tested in the Early Grade Reading System (EGRA), and the system will have the option to integrate with existing mobile assessment technologies for continuous monitoring of performance on these tasks. (Note: This project originally won in the Big Ideas “Mobiles for Reading” category)
Today, a deaf person cannot reliably connect with 99% of the people around him or her. The few interactions between deaf and hearing people are usually limited by the difficulty for the deaf person to understand the hearing person and to talk in an intelligible way. Sign UP wants to break this barrier of communication that stands between deaf people and the rest of the world. Sign language is the natural way of communication for most deaf people and a fundamental part of their culture. The solution is two smart gloves that will translate Sign Language in real time and enable deaf people to interact freely and seamlessly with the rest of the world. The S-Gloves will also provide speech-to-text support to facilitate a proper conversation.
In order to sleep comfortably while recovering from surgery, hospital patients are often given narcotics for pain relief. However, this can cause respiratory depression, where the patients’ ability to breathe is hindered. This can lead to apnea (blockage of airways), respiratory and cardiac arrest, and death. Current approaches to early detection of NIRD chiefly involve detecting the blood saturation of oxygen and carbon dioxide. These strategies, however, provide imprecise information on patient respiration and often run into logistical difficulties. This project uses a detection system that employs visual, infrared, and ultrasonic surveillance of patient breathing, bodily changes, and positioning within the room. Software will also be built to integrate multiple sensory channels to construct a holistic portrait of patient respiratory status and NIRD risk levels over an extended period of time. This solution will hopefully change how medical staff intervene in cases of NIRD and also shift the paradigm of monitoring unpredictable and lethal postoperative situations.
Sahay is an Information and Communication Technology (ICT) platform connecting workers in the household informal sector (e.g. domestic help, cooks, drivers, security guards, etc.) in India with employment opportunities. Using the web page, Short Message Service (SMS) system, or Interactive Voice Response (IVR) interface, rural and migrant workers can search for jobs posted on Sahay’s platform by urban households. The solution will allow workers to search for jobs beyond their geographically restricted network. The platform will support technically literate job posters through a web interface, and will support workers in the informal sector through a mobile interface and IVR system.
Dropsense is developing a convenient, affordable hypoglycemia alert system to help diabetics better monitor their glucose levels. The technology comprises a sensor patch, mobile application, and machine learning analytics platform. The non-invasive Dropsense sensor sends data wirelessly to a smartphone, where a mobile app continuously processes the data with the machine learning algorithm to accurately identify hypoglycemic events. The app alerts users with an alarm or emergency phone call upon detecting low glucose levels so it can be treated before it becomes dangerous.
In 2011, the CDC reported diabetes afflicted 25.8 million people in the United States. This disease can be controlled by strict blood serum glucose level monitoring, but the gold standard fingerstick test is painful and must be done multiple times every day. The team is developing a colorimetric sensor that could provide an inexpensive, non-invasive test for determining the level of glucose in the patient’s blood, providing a painless alternative to the fingerstick testing method. By developing a novel phage matrix material and smartphone sensor analyzer, the team hopes to create a non-invasive point-of-care sensor that can identify the concentration of these compounds on the patient’s breath and accurately report the patient’s blood glucose levels.
