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Big data and climate change:
Big words or big opportunity?
Innovative approaches to disseminating CSA practices and advisories
Jacob van Etten
Theme leader Climate Change Adaptation
9th
April 2014
2
1. Big data, what is it?
2. Big words only?
3. What about CCAFS?
3
4
Social data / crowdsourcing
5
6
Bioinformatics
7
8
Data journalism
9
A movie passes the Bechdel Test if women that are named
have at least one conversation that is not about a man.
10
Crowdsourcing
11
12
13
In summary
• ICT generate more and more data
• Data are going social
• Big Data is about “repurposing” in many different ways
• Dumb force of big n obviates precision, long waits and big
$
14
Big words only?
15
16
17
18
19
20
21
Gartner’s hype cycle
22
Where is Big Data on the curve?
23
24
In summary
• Many caveats apply
• Big Data is on the Peak of Inflated Expectations
• There is a Plateau of Productivity ahead!
25
What about CCAFS?
26
Historical data
27
28
Big data illusions
29
30
Sensors
31
32
33
Site-specific agriculture (CIAT)
+ + =
Climate Soil Crop management Productivity
% ? + % ? + % ? = To Explain (100 %)
34
Citizen science
35
36
37
Nifty statistics:
Bradley-Terry model with recursive partitioning
38
39
4. Farmers
test and
report back
by mobile
phone
2. Each farmer gets a
different combination of
varieties
3. Environmental
data (GPS, sensors)
to assess
adaptation
1. A broad set of
varieties is
evaluated
6. Detect
demand for
new
varieties
and traits
5. Farmers receive tailored
variety recommendations and
can order seeds
40
Crowdsourcing Monitoring and Evaluation?
41
42
In conclusion…
43
but some work is required to get it
44
Big data session
Two micro-presentations
•Participatory modelling with historical crop data (Dieudonne
Harahagazwe, CIP)
•Big data to optimize agricultural systems through location-
specific advise (Daniel Jiménez, CIAT)
Group discussion
45
Thank you!

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Big data and climate change: Big words or big opportunity? Innovative approaches to introducing climate-smart agriculture practices and advice