By Meredith Perry, Program Manager at Scientists Without Borders

Somali
pastorialists measuring rainfall with ILRI researchers. Photo by ILRI.
As many of you are no doubt
intimately aware, in low resource settings, data collection is slow, costly,
and subject to human error. Agricultural extension researchers regularly
travel poor roads across vast geographic distances to collect basic data on
soil quality, weather patterns, crop selection, livestock, and
yield. This collection is often conducted via peer-to-peer
interviews that rely on memory and infrequently standardized measuring
tools.
The result is an incomplete data picture that hinders the
ability of producers, researchers, and policymakers to identify, implement, and
track key conditions and interventions to improve productivity, harvest
quality, and human nutritional intake. Furthermore, stakeholders struggle to effectively
identify key producers and market leaders to scale successful approaches, and
to determine effective and efficient resource allocation and policies. In short,
the absence of good data compromises efforts to improve global food security.
Facing the food security consequences
associated with pervasive incomplete data collection and aggregation, last
year, G-8 leaders announced the New Alliance for Food Security and Nutrition,
where they committed to sharing “relevant agricultural data… to develop options
for the establishment of a global platform to make reliable agricultural and
related information available to African farmers, researchers and policymakers,
taking into account existing agricultural data systems.” As part of this commitment, the US Department
of Agriculture, in partnership with the G8, hosted an International Conference for Open Data for
Agriculture in Washington, DC, from April 28-29, 2013.
Kenyan girl buying milk. Photo by ILRI.
Scientists Without Borders, along
with an array of governments, NGOs, businesses, and international institutions,
was invited to present at the conference.
Together we discussed strategies for aggregating and sharing
agricultural data, ranging from
NASA announcing how their GEO-GLAM (The Group on Earth Observations
Global Agricultural Monitoring) project
allows researchers to identify weather patterns, to
Mars Inc, discussing their plant genomics databank, to Mozambique sharing lessons
learned from their initiative to revitalize and make public their
national
agricultural surveys. Despite these programs,
Stanley Wood, the Data and Diagnostics officer at the
Bill
& Melinda Gates Foundation, noted that a common refrain among the presenters was not only
the challenge of collecting the data, but aggregating and sharing it in a
standardized, searchable fashion so that researchers, policymakers and producers
could access it across platforms.
With these twin hurdles in mind, at
the conference Scientists Without Borders, in partnership with The Sackler Institute for Nutrition Science and the Bill
& Melinda Gates Foundation, debuted our own open innovation challenge seeking bold,
innovative, feasible, and scalable ideas to leapfrog existing approaches and
significantly improve the collection, reporting, aggregation, and sharing of
data associated with dairy production and consumption all along the smallholder
dairy production value chain in, but not limited to, Sub-Saharan Africa and
South Asia. The challenge will run for
60 days, concluding on July 11, 2013 and student solvers (from the middle
school to post-doctoral level) are invited to submit their ideas. More information is available on the Scientists
Without Borders website.
Scientists Without Borders is a worldwide, web-based collaborative community dedicated to generating, sharing, and
advancing innovative science and technology-based solutions to the
world`s most pressing global development challenges.
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