News

SPIA’s Workflow Reaches the Land of Rivers
Bangladesh will be the fourth focus country of SPIA’s national data systems team.

The Year of the Tiger and a Leap Into Action
The Lunar New Year began on Feb 1st, 2022, bringing billions of people into the Year of the Tiger. The Vietnamese welcome the Tiger Year Tet holidays

Evaluation Case Study: CGIAR Ontologies Community Of Practice
Evaluations offer a chance for reflection, as well as an opportunity for improvement.

How can Agriculture Research for Development Inform the Sustainable Development Goals?
There are several misconceptions in Agriculture Research for Development (AR4D)

Independent Advising in One CGIAR: Cross-Pollination of Science Advice with Evaluative Evidence
At this time of transformational change, CGIAR requires independent and evidence-based advice more than ever. The Independent Science for Development

Big Data and Agricultural Research: Results of Online Survey
The digital revolution has changed the ways of working, accessing information, and connecting with each other. Over the past three decades, the world

Panel Data Takes Partnership and Patience: First Field Visit of the Uganda National Panel Survey
SPIA is supporting the Uganda Bureau of Statistics (UBoS) in implementing the first wave of a new sample for the Uganda National Panel Survey (UNPS)

Three Studies of Digital Support Tools Approved for SPIA Support
Find out more about the studies selected to receive funding and support from SPIA.
Evaluation Inception Reports – The CAS Approach
The inception report explains the analytical and methodological dimensions, related to its primary objectives and the evaluation questions to be

Piloting a Sounding Board for CGIAR Evaluations: Quality Enhanced Through an Evaluation Reference Group
Use of reference (or advisory) groups is an approach in the profession of evaluation that supports peer review and quality assurance good practice

Randomized Control Trials in Agricultural Research for Development - 31st ICAE
Randomized controlled trials (RCTs) are commonly used in agricultural and development economics. As the RCT literature in agricultural development is