iot4i internet of things for impact | netherlands
TRANSCRIPT
IOT4i
The Internet Of Things For Impact: Practice And Possibility
DOEN Foundation
March 25, 2015 Amsterdam, Netherlands
by Jon Gosier [email protected]
The Internet Of Things For Impact: Practice And Possibility
The Social Return of Connected Devices - IOT4Environment - IOT4Development - IOT4Commerce - IOT4Agriculture - IOT4Energy
PRACTICE
If your washing machine knows that everyone else in the neighborhood is using power, can it save you money if it waits to run?
Connecting our things gives them “super powers”!
Connected Device “Powers”
Telepathy (wirelessly talk to other devices) Precognition (predict patterns) Time Travel (revert data and settings to any point in the past) Omnipresence (accessible from anywhere) Super Intelligence (non-human assisted problem solving)
IOT4ENVIRONMENT
Example: Scoutbots - Connected sea-faring drones - Founded to help clean up BP oil spill in Louisiana - Now used globally to collect garbage and clean the oceans - Hands on project for social impact innovators - Environmental recovery for oil, radioactive, plastic, other
pollution
Source: https://www.techinasia.com/autonomous-shapeshifting-boat-clean-worlds-oceans/
“Autonomous shapeshifting boat cleans up the world’s oceans.”
- TechInAsia
Source: https://www.techinasia.com/autonomous-shapeshifting-boat-clean-worlds-oceans/
IOT4DEVELOPMENT
Example: Mobile Wire Service
- Connected farming equipment - Reduces labor - Small enough to be cheap to ship and transport - Responds to real-time data - Automates manual labor - Connected, can be controlled remotely
Source: https://www.techinasia.com/autonomous-shapeshifting-boat-clean-worlds-oceans/
Predicting Economic Trends Using Real-Time Mobile Data Reporting
Does real-time consumer spending data predict
macro-economic trends?
Mombasa, Kenya
* Surveys via Mobile Phone and SMS
* Accounted for pricing bias
* Collected sales data from vendors instead of consumers
* Tested correlations against macro-economic indicators like Gross Domestic Product, Purchasing Power Parity, Inflation, Foreign Direct Investment, Debt and others.
Methodology
1. Information Intervention (News + Data + Outreach)
2. Use Data and Mobile to improve Africa’s understanding of Ebola.
IOT4COMMERCE
Example: Bleu - Makes shopping a personalized more welcoming experience - Retains history, “know your customer” - Frictionless payments - Improves loss prevention
Source: https://www.techinasia.com/autonomous-shapeshifting-boat-clean-worlds-oceans/
In Store Analytics
DATA & ANALYTICS
As customers enter the store, their mobile devices connect and transition from one Bleu beacon to the next, transmitting valuable information on visits, micro location data, and shopper experience.
IOT4AGRICULTURE
Example: HelloTractor
- Connected farming equipment - Reduces human labor, improves productivity - Small enough to be cheap to ship and transport - Responds to real-time data - Automates manual labor - Connected, can be controlled remotely
Source: https://www.techinasia.com/autonomous-shapeshifting-boat-clean-worlds-oceans/
IOT4ENERGY
Example: WattVision - Better understand neighborhoods and homes - Reduces energy waist and redundant usage - Helps to change individual behavior through recommendations
and gamification - Offers visibility of usage while away from home
Source: https://www.techinasia.com/autonomous-shapeshifting-boat-clean-worlds-oceans/
POSSIBILITY
DOEN Foundation
March 25, 2015 Amsterdam, Netherlands
by Jon Gosier [email protected]
The Internet Of Things For Development: Practice And Possibility