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Open Data and Agriculture in Mexico
National Digital Strategy
Government Transformation
Open Data Policy centered in unlocking public value
Strategy based on DELIVERING IMPACT
Digital Economy
Quality Education
Universal and Effective Health
Civic Security
Connectivity
InclusionandDigitalLiteracy
Interoperability
LegalFramework
OpenData
Objectives Enablers
To unlock supply unlock value...
Legal frameworks matter… but are not enough!
6 -
Communicate
results
(IODC, Dynamic
Atlas,
datos.gob.mx)
Unlocking
value
cycle
4 - Test new
knowledge
(Study)
2 - Create
partnerships
(Min. Agriculture,
Harvard, CEDN)
5 - Inform
policy
(Recommendati
ons and tool
- Min.
Agriculture)
3 - Identify
and publish
datasets
(Weather,
production,
insurance)
1 - Define
impact
area
(agriculture)
Value based Open Data Model in Mexico
By February 2013, 42% of Mexico was suffering from drought:
● Total loss of output on 7% of the country’s land in 2013;
● Loss of cattle in the North; and,
● Negative income shocks to households dependent on farming.
State insurance company AGROASEMEX and other private providers underwrite weather index insurance to
help small hold farmers withstand production shocks caused by severe weather events.
The Coordination of National Digital Strategy, the Ministry of Agriculture and Harvard University, undertook a
project to analyse existing weather index insurance triggers are well-defined.
Define impact area and partnerships
● Weather station information (temperature and rainfall), on a
daily basis from 2000 to 2013.
● Agricultural cultivation and production data by
municipality/crop, on a yearly basis for the period 2001-2013.
● Productive potential by municipality, as of 2012.
● Agricultural insurances payouts paid to farmers by federal and
state governments, by municipality/crop, for the period 2003-
2014.
● Agricultural subsidies and direct support to farmers by
municipality, for the years 2000-2014.
Identify and publish datasets
Source: Balaza, Conconi, et al. Mexico Agriculture Project. Harvard, 2014.
Weather stations in Mexico
Test new Knowledge
Source: Balaza, Conconi, et al. Mexico Agriculture Project. Harvard, 2014.
Inform policy
Source: Balaza, Conconi, et al. Mexico Agriculture Project. Harvard, 2014.
Agroasemex upper and lower payout
thresholds across the country may not be well-
defined.
‘It is possible that the previous triggers were
based on limited amounts of data.’
Communicate results
Source: Government of Mexico.
enrique.zapata@presidencia.gob.mx

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datos.gob.mx: Open Data and Agriculture in Mexico

  • 1. Open Data and Agriculture in Mexico
  • 2. National Digital Strategy Government Transformation Open Data Policy centered in unlocking public value Strategy based on DELIVERING IMPACT Digital Economy Quality Education Universal and Effective Health Civic Security Connectivity InclusionandDigitalLiteracy Interoperability LegalFramework OpenData Objectives Enablers
  • 3. To unlock supply unlock value... Legal frameworks matter… but are not enough!
  • 4. 6 - Communicate results (IODC, Dynamic Atlas, datos.gob.mx) Unlocking value cycle 4 - Test new knowledge (Study) 2 - Create partnerships (Min. Agriculture, Harvard, CEDN) 5 - Inform policy (Recommendati ons and tool - Min. Agriculture) 3 - Identify and publish datasets (Weather, production, insurance) 1 - Define impact area (agriculture) Value based Open Data Model in Mexico
  • 5. By February 2013, 42% of Mexico was suffering from drought: ● Total loss of output on 7% of the country’s land in 2013; ● Loss of cattle in the North; and, ● Negative income shocks to households dependent on farming. State insurance company AGROASEMEX and other private providers underwrite weather index insurance to help small hold farmers withstand production shocks caused by severe weather events. The Coordination of National Digital Strategy, the Ministry of Agriculture and Harvard University, undertook a project to analyse existing weather index insurance triggers are well-defined. Define impact area and partnerships
  • 6. ● Weather station information (temperature and rainfall), on a daily basis from 2000 to 2013. ● Agricultural cultivation and production data by municipality/crop, on a yearly basis for the period 2001-2013. ● Productive potential by municipality, as of 2012. ● Agricultural insurances payouts paid to farmers by federal and state governments, by municipality/crop, for the period 2003- 2014. ● Agricultural subsidies and direct support to farmers by municipality, for the years 2000-2014. Identify and publish datasets Source: Balaza, Conconi, et al. Mexico Agriculture Project. Harvard, 2014. Weather stations in Mexico
  • 7. Test new Knowledge Source: Balaza, Conconi, et al. Mexico Agriculture Project. Harvard, 2014.
  • 8. Inform policy Source: Balaza, Conconi, et al. Mexico Agriculture Project. Harvard, 2014. Agroasemex upper and lower payout thresholds across the country may not be well- defined. ‘It is possible that the previous triggers were based on limited amounts of data.’

Editor's Notes

  1. Potencial productivo Cada 5 años para censo agrícola. Tomando fotos de satélite. A nivel parcela cuánto debería de estar produciendo. La diferencia entre output y potencial es lo que pierdes.