Iraq Knowledge Network (IKN) project aims to
conduct a representational survey of Iraqi
society in all 18 governorates in Iraq and
analyze the results in a timely manner so they
can be used by the international community and
local actors to respond quickly and effectively
to the changing humanitarian needs inside Iraq.
Surveys are carried out quarterly, and
reports will be disseminated within one month of
survey-taking. It will utilize human resources
already working on the ground in Iraq and will
rely on local community members and Iraqi
experts both to collect and analyze data.
The direct beneficiaries will be United
Nations agencies who gain access to current and
reliable information that can be used to make
informed decisions on humanitarian and
development issues inside Iraq. Implementing
partners and the wider international community
will also benefit from this information, using
it to strengthen programme design and emergency
However, the largest number of beneficiaries
will be the recipients of international
assistance, namely the citizens of Iraq. This
project will employ Iraqis to rapidly collect
and analyze data that will ultimately be used to
improve the assistance aimed and improving their
communities and society.
1. To collect, analyze and share up-to-date,
reliable and standardized data with appropriate
organizations and agencies. Indicator: Survey
results are analyzed and shared with UN
agencies. Impact: Agencies obtain more
up-to-date information on a large portion of
Iraqi society on which to base humanitarian
2. To collaborate with universities inside
Iraq to analyze data and to increase their
capacity to implement further studies.
Indicator: Academics participate in activities
to analyze survey data with project team.
Impact: Universities will be more capable to
implement further large-scale surveys in the
3. To pilot a larger data collection program
in Iraq and transfer knowledge on lessons
learned and best practices for future
programming. Indicator: A summary of lessons
learned and best practices will be created.
Impact: Future data collection will operate more
effectively and efficiently.