Zero Hunger in Big Cities

zero hunger in big cities
To combine static and real time data in order
to indentify where people are undernourished
Concept: Elenoa Diani (WFP), Rosa Keizer (Ministry of Economic Affairs) and Kimmo de Reuver (hetproces.com), March 7 2017
1
number of visits
to doctor
identify vunerable areas
and neighbourhoods
by using local
governement data
+
2
satelite data
real time data
• reliable
• timely
Facebook
3
Twitter
the use of
electricity
+
check school lunch
UN+partners
=
health and food related
searches in Google
information for humanitarian aid
This prototype is a three-stage tool to identify cities and neighbourhoods
within cities with undernourished school kids. We have choosen school
kids as they aproximate the status quo of their families or environment.
Besides, children are our future generations.
This tool provides timely information for humanitarian aid to act upon.
Combining data from local governments, real time data sources and a
final check based on human interaction, makes sure data collection is
reliable, timely and accurate. Which makes work for humanitarian aid
organisations easier and more effective.
First stage: Identifying vulnerable cities and areas based on local
government data. This data on for example household income, level of
education by age groups, populations densities, building materials
(types), no. of lifestock per households, no. of households selling fish, no.
of households having fish for home consumption only, is being updated
every 5-10 years. Now we know the target cities.
the ability to know in what areas within the identified cities school kids
might be undernourised and even know what they lack of (i.e. vitamins,
proteins, money).
Second stage: Identifying areas within the target cities with
undernourished school kids by combining real time data sources. Possible
data sources that can be used are:
• no. of visits to doctor
• satelite data
• decrease in use of electricity
• health and food related searches in Google
• twitter
• facebook
The combination of different datasets from various resources will give us
Third stage: Whitnessing in person to report on status quo and needs for
the identified target areas and challenges. A humanitarian aid worker
visits school in identified areas in big cities during lunch time and reports
about the situation and needs.
According tot his model, humanitarian aid organisations know their target
and the needs of undernourished school kids that enables them to react
timely in their fight for zero hunger.