Small Data is the myriad of data traces we each generate everyday. Unfortunately, that data is often unavailable to us in a form that we can make sense of or act upon. Imagine a special kind of app running in the cloud that privately and securely turns your small data into big insights.
We've designed our infrastructure and apps to be modular and reusable so that they can be remixed and repurposed for new services and platform architectures. And everything down to the front-end UIs of our small data apps are Open Source. Fork away.
We're not just building tools and services for theoretical use cases and "what if?" scenarios. Through our collaborations with researchers spanning behavioral economics, healthcare, human computer interaction and policy we iteratively develop and evolve our services to address issues and problems in the real-world.
We're going beyond recommendation engines to services that contextually parse your small data to provide the right insights at the right time, to help you make (hopefully) the right decision. And as for the data that drives these insights, we take the utmost care and precaution with regards to its security while advancing architectural frameworks that maximize transparency and individual control of small data usage.
Small data powered services that solve real problems in the world and create new experiences
Share with your friends and family how you're doing, not what you're doing
Ora receives and emits very simple signals when you are out and about in the world. It's like ringing a little bell to let your friends and family know you are well.
You can share your Ora with as few or as many people as you would like. And they can do the same, building uniquely personal circles of friends and family connected to one another.
We've taken the time to make sure you have control over your privacy. Share as little or as many signals as you would like with specific people in your Ora network.
Yada is a novel system that bootstraps food preference using a simple, visual quiz-based user interface. We get rid of the requirements for users' historical diet records and completely bootstrap food preference from scratch. This design enables context aware preference learning that adapts preference information in various conditions.
As a light-weight and efficient food preference elicitation system, Yada will provide a personalized user experience capable of fueling a wide range of applications in domains including health care, diet planning and restaurant recommendation.
Your Activities of Daily Living (YADL) uses images of Activities of Daily Living (ADLs) to improve patients' experience and survey efficiency. YADL encourages users to provide customized activity descriptions to construct a personalized, fine-grained profile of their ADL functionality.
YADL-reported data can be presented directly to clinicians along with other patient data, and made available with other patient-approved applications via an API.
Extremely simple one tap recording
Personalized selection of activities of daily living by patients
Allows patients to select YADL button and record difficulty completing daily activities