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Funded by: Surveillance of Climate-smart Agriculture for Nutrition (SCAN) Todd Rosenstock Addis Ababa | 23.06.2016 Christine Lamanna, Brian DeRenzi, Sabrina Chesterman, Mark van Wijk, Mary Ng’endo, Kayokwa Chibuye, Ngoni Choga and Suneetha Kadiyala

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Page 1: Surveillance of Climate-smart Agriculture for Nutrition (SCAN)anh-academy.org/sites/default/files/1. T. Rockenstock_1.pdfSurveillance of Climate-smart Agriculture for Nutrition (SCAN)

Funded by:

Surveillance of Climate-smart Agriculture for Nutrition (SCAN)

Todd Rosenstock

Addis Ababa | 23.06.2016Christine Lamanna, Brian DeRenzi, Sabrina Chesterman, Mark van Wijk, Mary Ng’endo, Kayokwa Chibuye, Ngoni Choga and

Suneetha Kadiyala

Page 2: Surveillance of Climate-smart Agriculture for Nutrition (SCAN)anh-academy.org/sites/default/files/1. T. Rockenstock_1.pdfSurveillance of Climate-smart Agriculture for Nutrition (SCAN)

CLIMATE

Predicted changes will affect the ability to deliver nutritious diets in many ways

MARKETS

HEALTH

ENV.

LABOR

WHY THINK ABOUT CLIMATE-SMART AGRICULTURE?

Farm

practice

Farm

practice

Climate-smart agriculture

Climate info,

farm

practice

Infrastruc-

ture

AGRICULTURE NUTRITION

OUTCOMES

Page 3: Surveillance of Climate-smart Agriculture for Nutrition (SCAN)anh-academy.org/sites/default/files/1. T. Rockenstock_1.pdfSurveillance of Climate-smart Agriculture for Nutrition (SCAN)

Reasons to create a ‘climate-smart agriculture for nutrition’

10

DONORS & FUNDS

500MILLION FARMERS

30COUNTRIES IN AFRICA

ALONE

25IN

AFRICA

Page 4: Surveillance of Climate-smart Agriculture for Nutrition (SCAN)anh-academy.org/sites/default/files/1. T. Rockenstock_1.pdfSurveillance of Climate-smart Agriculture for Nutrition (SCAN)

‘A key aspect of a forward-looking climate change agenda, therefore, is the generation of novel evidence of ‘what works’ from a policy [and programming] perspective that is focused on nutrition-smart food

systems’- Global Panel 2015

Page 5: Surveillance of Climate-smart Agriculture for Nutrition (SCAN)anh-academy.org/sites/default/files/1. T. Rockenstock_1.pdfSurveillance of Climate-smart Agriculture for Nutrition (SCAN)

Theoretical limits of data collection via mobile devicesAre there ways to collect data with mobile devices to increase resolution of info?

SMS

Rapid surveys

Call centers

Voice

recognition

Page 6: Surveillance of Climate-smart Agriculture for Nutrition (SCAN)anh-academy.org/sites/default/files/1. T. Rockenstock_1.pdfSurveillance of Climate-smart Agriculture for Nutrition (SCAN)

Practical limits (& opportunities) of research in developmentCan we leverage the massive emerging experiment to understand what works?

Page 7: Surveillance of Climate-smart Agriculture for Nutrition (SCAN)anh-academy.org/sites/default/files/1. T. Rockenstock_1.pdfSurveillance of Climate-smart Agriculture for Nutrition (SCAN)

Funded by:

Yield

HDDS

Delayedstartofseason

HDDS

Women’sLabor

HDDS

Prevalenceofdiarrhea

No.oflivesto

ck

Timecollec ngfirewood

Milkyie

ld

Temperature

Treeso

nfarm

Concrete limits of using information in policy & programmingCan interdisciplinary approaches help understand & communicate complexity?

CSA Intervention 1

CSA Intervention 2

Page 8: Surveillance of Climate-smart Agriculture for Nutrition (SCAN)anh-academy.org/sites/default/files/1. T. Rockenstock_1.pdfSurveillance of Climate-smart Agriculture for Nutrition (SCAN)

Hypotheses of CSA opportunities for nutritionCan a rapid and low cost approach provide decision-relevant evidence at scale?

Page 9: Surveillance of Climate-smart Agriculture for Nutrition (SCAN)anh-academy.org/sites/default/files/1. T. Rockenstock_1.pdfSurveillance of Climate-smart Agriculture for Nutrition (SCAN)

Thank youSurveillance of Climate-smart Agriculture for Nutrition (SCAN)

DATA INTEGRATION

Research ‘in’ development for impact

DATA ANALYSIS

New approaches to visualize & interpret info

DATA ACQUISITION

Increasing the spatial and temporal resolution of data

Rapid surveys

Call centers

Voice-based