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GENNOVATE is an unprecedented global research initiative on how
gender norms and agency shape women’s and men’s innovation in
agriculture and natural resource management.
Scope
Carried out across 135 rural communities in 26 countries, through
focus groups and individual interviews, GENNOVATE is engaging
roughly 6,000 rural women and men of different socio-economic
backgrounds and age groups. Study participants reflect on and
compare local women’s and men’s expected roles and behaviors
— or gender norms— and how these social rules affect their
ability to access, adopt, adapt and benefit from innovations in
agricultural and natural resource management.
The study is guided by the following research questions:
•	How do gender norms and agency advance or impede
innovation capacity and technology adoption in agriculture and
NRM across different contexts?
•	How do new agricultural technologies affect gender norms and
agency across different contexts? Under what conditions can
technologies do harm?
•	How are gender norms and women’s and men’s agency
changing, and under what conditions do these changes catalyze
innovation and adoption, and lead to desired development
outcomes? What contextual factors influence this relationship?
Methodology
To address these questions, GENNOVATE employs an agency-
structure conceptual framework and standardized qualitative
methods. The framework rests on the understanding that for
innovation to be effective the primary stakeholders - women
and men on the ground - must exercise agency and be active
participants in learning about, testing, and adapting a new
technology or practice to their needs. Structure refers to the
rules that shape social action, including gender norms, and the
resources that enable individuals (to varying extent) to take action.
The great heterogeneity of local structures—which may be more
or less empowering for different genders and social groups in
a community—is what makes innovation processes so varied,
complex, and uncertain on the ground.
The methodology features comparative case studies, wherein
a case refers to a social group living in a single locality that
the inhabitants call their village, community, or hamlet. Within
communities, the sample includes equal numbers of women and
men.
Case selection is based on the principles of maximum diversity
sampling, which seek to uncover important regularities that
cut across heterogeneous population groups and contexts
sampled. GENNOVATE’s individual village-level cases were
selected purposively to ensure strong variance at multiple scales.
First, the cases are scattered across regions and countries, with
concentrations in Africa and South Asia to not only reflect CGIAR
investment priorities but also to capture macro-level differences in
gender structures.
Within countries, cases are selected to deliver strong variance
on two dimensions theorized to be important for outcomes: i)
economic dynamism, and ii) gender gaps in assets and capacities.
Case selection is also informed by the CGIAR Research Programs’
activities in the research areas; and GENNOVATE datasets will serve
as a basis for longitudinal research in several cases.
In each research village, field teams apply a standardized package
of seven qualitative data collection instruments which include a
mix of focus groups, semi-structured individual interviews, key
informant interviews, and a literature review. The tools were piloted
in villages in Mexico and Uganda; and three regional training of
trainer events prepared principal investigators for managing the
fieldwork. Data collection began in April 2014 and will conclude in
Vietnam in early 2016 .
Data are analyzed using a mixed analysis strategy—which
combines in-depth case studies with cross-case analyses based
on systematic content analysis and coding of the large narrative
dataset. Together these elements allow broad patterns to be
detected without losing their grounding in local contexts and
realities.
The initiative’s broad-based and inclusive research process strives
to give rural women and men a voice by:
•	Providing authoritative, contextually grounded evidence on how
gender interacts with agricultural innovations, and
•	Strengthening CRP capacities to know the target beneficiaries,
design for them, and be accountable to them.
Photo credits: Georgina Smith/CIAT, S. Mojumder/Drik/CIMMYT, Marlène Elias/Bioversity International, Ollivier Girard/CIFOR, Anne Rietveld/Bioversity International.
Contact:
Lone Badstue, Chair of GENNOVATE Executive Committee, Gender
Specialist, International Maize and Wheat Improvement Center (CIMMYT)
l.badstue@cgiar.org
GENNOVATE’s  135 case studies are based in the
following 3 regions and 26 countries:
•	Asia: Afghanistan, Bangladesh, India (Andhra Pradesh,
Bihar, Haryana, Madhya Pradesh, Maharashtra, Punjab,
Rajasthan, Uttar Pradesh), Indonesia, Kyrgyz Republic,
Nepal, Pakistan, Philippines, Uzbekistan, Vietnam.
•	Africa: Burkina Faso, Burundi, Democratic Republic of
the Congo, Ethiopia, Kenya, Malawi, Mali, Morocco, Niger,
Nigeria, Rwanda, Tanzania, Uganda, Zimbabwe.
•	Latin America: Colombia, Mexico.
GENNOVATE’s qualitative comparative
methodology and large sample mark a first
in the CGIAR, as well as, the collaboration of
principal investigators from nearly all CGIAR
Research Programs worldwide.
To learn more visit: gender.cgiar.org/collaborative-research/gennovate/
Executive Committee members: Lone Badstue, CIMMYT (Chair); Gordon Prain,
International Potato Center (CIP); Amare Tegbaru, International Institute of Tropical
Agriculture (IITA); Marlène Elias, Bioversity International; and Paula Kantor (in memo-
riam)). Expert Advisor: Patti Petesch, CIMMYT consultant.

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GENNOVATE Flyer_PRINT.PDF

  • 1. GENNOVATE is an unprecedented global research initiative on how gender norms and agency shape women’s and men’s innovation in agriculture and natural resource management. Scope Carried out across 135 rural communities in 26 countries, through focus groups and individual interviews, GENNOVATE is engaging roughly 6,000 rural women and men of different socio-economic backgrounds and age groups. Study participants reflect on and compare local women’s and men’s expected roles and behaviors — or gender norms— and how these social rules affect their ability to access, adopt, adapt and benefit from innovations in agricultural and natural resource management. The study is guided by the following research questions: • How do gender norms and agency advance or impede innovation capacity and technology adoption in agriculture and NRM across different contexts? • How do new agricultural technologies affect gender norms and agency across different contexts? Under what conditions can technologies do harm? • How are gender norms and women’s and men’s agency changing, and under what conditions do these changes catalyze innovation and adoption, and lead to desired development outcomes? What contextual factors influence this relationship? Methodology To address these questions, GENNOVATE employs an agency- structure conceptual framework and standardized qualitative methods. The framework rests on the understanding that for innovation to be effective the primary stakeholders - women and men on the ground - must exercise agency and be active participants in learning about, testing, and adapting a new technology or practice to their needs. Structure refers to the rules that shape social action, including gender norms, and the resources that enable individuals (to varying extent) to take action. The great heterogeneity of local structures—which may be more or less empowering for different genders and social groups in a community—is what makes innovation processes so varied, complex, and uncertain on the ground. The methodology features comparative case studies, wherein a case refers to a social group living in a single locality that the inhabitants call their village, community, or hamlet. Within communities, the sample includes equal numbers of women and men. Case selection is based on the principles of maximum diversity sampling, which seek to uncover important regularities that cut across heterogeneous population groups and contexts sampled. GENNOVATE’s individual village-level cases were selected purposively to ensure strong variance at multiple scales.
  • 2. First, the cases are scattered across regions and countries, with concentrations in Africa and South Asia to not only reflect CGIAR investment priorities but also to capture macro-level differences in gender structures. Within countries, cases are selected to deliver strong variance on two dimensions theorized to be important for outcomes: i) economic dynamism, and ii) gender gaps in assets and capacities. Case selection is also informed by the CGIAR Research Programs’ activities in the research areas; and GENNOVATE datasets will serve as a basis for longitudinal research in several cases. In each research village, field teams apply a standardized package of seven qualitative data collection instruments which include a mix of focus groups, semi-structured individual interviews, key informant interviews, and a literature review. The tools were piloted in villages in Mexico and Uganda; and three regional training of trainer events prepared principal investigators for managing the fieldwork. Data collection began in April 2014 and will conclude in Vietnam in early 2016 . Data are analyzed using a mixed analysis strategy—which combines in-depth case studies with cross-case analyses based on systematic content analysis and coding of the large narrative dataset. Together these elements allow broad patterns to be detected without losing their grounding in local contexts and realities. The initiative’s broad-based and inclusive research process strives to give rural women and men a voice by: • Providing authoritative, contextually grounded evidence on how gender interacts with agricultural innovations, and • Strengthening CRP capacities to know the target beneficiaries, design for them, and be accountable to them. Photo credits: Georgina Smith/CIAT, S. Mojumder/Drik/CIMMYT, Marlène Elias/Bioversity International, Ollivier Girard/CIFOR, Anne Rietveld/Bioversity International. Contact: Lone Badstue, Chair of GENNOVATE Executive Committee, Gender Specialist, International Maize and Wheat Improvement Center (CIMMYT) l.badstue@cgiar.org GENNOVATE’s  135 case studies are based in the following 3 regions and 26 countries: • Asia: Afghanistan, Bangladesh, India (Andhra Pradesh, Bihar, Haryana, Madhya Pradesh, Maharashtra, Punjab, Rajasthan, Uttar Pradesh), Indonesia, Kyrgyz Republic, Nepal, Pakistan, Philippines, Uzbekistan, Vietnam. • Africa: Burkina Faso, Burundi, Democratic Republic of the Congo, Ethiopia, Kenya, Malawi, Mali, Morocco, Niger, Nigeria, Rwanda, Tanzania, Uganda, Zimbabwe. • Latin America: Colombia, Mexico. GENNOVATE’s qualitative comparative methodology and large sample mark a first in the CGIAR, as well as, the collaboration of principal investigators from nearly all CGIAR Research Programs worldwide. To learn more visit: gender.cgiar.org/collaborative-research/gennovate/ Executive Committee members: Lone Badstue, CIMMYT (Chair); Gordon Prain, International Potato Center (CIP); Amare Tegbaru, International Institute of Tropical Agriculture (IITA); Marlène Elias, Bioversity International; and Paula Kantor (in memo- riam)). Expert Advisor: Patti Petesch, CIMMYT consultant.