Research Development and Methodologies

Data Collection Tools, Data Quality Control, and Methods and Tools for Decomposition of Yield Gaps

This course teaches trainees to design data collection plans, collect data, and analyze yield gaps in agriculture using R and Python, fostering improved crop yields.

Research Development and Methodologies

Implementing Add-on Surveys

This specialized course, offered by the CGIAR Excellence in Agronomy (EiA) Initiative, is designed to equip learners with the knowledge and skills necessary to effectively leverage the integrated survey tool developed by EiA's Add-ons. Participants will gain proficiency in accessing and customizing Add-on surveys, enabling them to collaboratively co-create Minimum Viable Products (MVPs) tailored to the diverse needs of farmers, extension agents, and agro-dealers in the Global South.

Course Objectives

By the end of the course series, you will be able to:

• Gain insights into the Excellence in Agronomy Initiative's (EiA) diverse operational contexts
• Understand the Standard Operating Procedure (SOP) for Farmer Segmentation and Typology
• Execute farm typology studies within their respective Use Cases.
• Explore the significance of 'Add-on activities' and their role within EiA Use Cases.
• Acquire practical skills in accessing and customizing Add-on surveys through the integrated survey tool.

Target Learners

This course is tailored for individuals seeking to enhance their capabilities in the formulation and execution of farm typology studies within EiA

Research Development and Methodologies

Human-Centered Design: Where People Power Innovation for Exceptional Impact

This course is an introduction to integrating Human-Centered Design (HCD) into your project. Throughout this course, we will show you the steps involved in planning for research, ideation, and testing - Because putting users first leads to innovations that truly work!

Research Development and Methodologies

Developing Representative Sampling Frames for Multi-Location On-Farm Research

This course helps participants develop representative sampling frames for efficient agricultural research, considering both bio-physical and socioeconomic factors, enhancing research effectiveness.

Research Development and Methodologies

Introduction to Randomized Control Trial (RCT) for Impact Assessment

This course explores scaling agricultural innovations and the role of RCTs in impact assessment, offering participants a deep understanding and practical skills in using RCTs for innovation development.