#AirGrib

Develop an app or platform to crowd-source information for comparing changes in environmental factors, such as temperature, relative humidity, air pollution, with occurrence of symptoms of allergies and respiratory diseases. Create tools for public entry and grading of symptoms, including but not limited to cough, shortness of breath, wheezing, sneezing, nasal obstruction, itchy eyes; and geographic mapping of symptom frequency and intensity. Create a platform for comparison of symptom map with NASA provided data, with visualization options for web and/or smart phone.

We have designed and prototyped #AirGrib with aim to help NASA to validate imaginary predictive models by crowd-sourced information on air pollution-related symptoms. The asynchronously transmitted data from humans' senses "sensors", are to be anonymously gathered for integration with standardized NASA metadata and used by Reverb to visualise it together with GIBS and other NASA provider's data. The second part of our solution name - GRIB - comes from forecast service standard, widely used by sailors.

#AirGrib as the SOLUTION to the #Aircheck challenge at @spaceapps 2016

In our view the #Aircheck challenge in less on programming and more on bringing the space science down to Earth, just outside of a household. It expands great ideas of many our competitors even further, aiming on lightweight information transfer and simplicity.

We have built the solution on a hypothesis:

“there is not enough real data to validate dynamics of information from GIBS images, while currently available data comes unstructured, costly to gather and maintain in time series. NASA raised the #Aircheck challenge in order to help solving the root-cause, which is lack of reliable crowd-sourced data flow”.

Our #AirGrib is designed to be compatible with existing Central Metadata Repository (CMR) and enrich predictive models with field research standardized data.

Reciprocity is achieved by using open-data standards and giving allowance to both: citizens and value-added companies, to access downstream and integrate it with visualization/alerting/automation services & products.

As example, it is much safer and efficient to sail with NOAA GRIB wind forecasts. Ready for simulations and optimal route calculation.

We aim to add #AirGrib as air hazards forecast supporter, validated, reliable and professionally integrated with METEO GRIB world.

Front –end for crowd-sourcing

As minimalistic, as possible. Designed to serve also elder people, which are good observers, have time and excellent reason to dig into space technology.

Successful shall be Text-To-Speech (TTS) what will enable blind persons to join the crowd-sourcing too.

Upstream – addresses situations when a personal device works off-line (no internet coverage). With unstable connection – it would use the lightweight MQTT – bursting just like a small machine.

Further experiments - in direction to INMARSAT messaging.

BACK-END

In cooperation with openNASA forecasting model owners.

NOAA GRIB meteo forecasts.

Downstream transport

Radio PMR (here is local example in PL http://www.radiomalopolska.pl/PMR/ )

When no internet – we have considered satellite messaging streams, like INMARSAT.

IoT gateways, MQTT local brokers, WATSON text to speech, etc.

Front-end for downstream users & API

#AirGrib we have designed with not-only-smartphone in mind.

In our small team of passionate we have two licensed yacht skippers.

Inland waters , mooring in unknown bays, camping and cross-country exploration need meteo planning and simple, light-data communication.

#PMR messages for open land tours / camping / cycling / mountain wandering

EDUCATION

In connection to NASA challenge, we have created Twitter @crowdaircare and encourage all of readers to join and share feedback, as we natural members of the CROWD AIR CARE population.

We see expansion into local MQTT broker services, to be set on devices we are experimenting with - @raspberry_pi.

On distant, global education – we see platforms like KhanAcademy, for which we could prepare some lessons and let teachers together with students and their parents – dig into space-science use on Earth.

Regardless outcome of the final round, we plan to continue just established cooperation with NASA EarthData experts and the CMR support team. Achieved nomination at the country level and positive feedback from jury panel have shown us, that the multi-generation team with passion, can enrich current services and let many citizens feel and touch the space science on Earth.

Why to wait? #EartRightNow

IBM Bluemix, IBM MQTT, jazz, NASA CMR, EARTHdata, Reverb/ECHO