Aishwarya Venkat

RESEARCH INTERESTS

REGIONAL FOCUS

COURSES TAUGHT

MOST CITED BOOKS & ARTICLES

MOST RECENT EXTERNAL PUBLICATIONS

Anastasia Marshak et al publish about seasonality of malnutrition in the IJER

Anastasia Marshak, Aishwarya Venkat, Helen Young, and Elena Naumova published “How Seasonality of Malnutrition Is Measured and Analyzed” in the International Journal of Environmental Research and Public Health. This article…

FEINSTEIN PUBLICATIONS

Climatic variability and disasters in Kenya’s arid and semi-arid lands (Nawiri desk study)

This desk study provides an overview of the patterns and variability in climate, conflict, disasters, and nutrition outcomes using secondary data for Marsabit and Isiolo counties in northern Kenya.

Classifying Acute Food Insecurity Using the Household Hunger Scale

This study employed an active case identification approach to identifying the worst affected households in communities and make recommendations for how classification could be further improved.

Twin peaks: the seasonality of acute malnutrition, conflict, and environmental factors

This report highlights major new findings on the seasonal patterns of child malnutrition and their links to climate variability, conflict, and livelihood systems in Chad, Sudan, and South Sudan.

Lessons for Taadoud II: Improving Natural Resource Management

This publication presents a literature review activities in covering topics related to the natural environment and natural resource management in the Darfur region. This desk review serves as a foundation and reference for the NRM field studies and series of briefs, as part of the Taadoud II program, as well as supporting the development of training materials.

FEINSTEIN RESEARCH PROJECTS

Acute Malnutrition Seasonality and Climate

This project interrogates widely-held assumptions about when acute malnutrition is at its highest in dryland countries.

Humanitarian Information Systems: Anticipating, Analyzing, and Acting in Crisis

This study seeks to understand the availability and quality of information, and the external influences on data collection and analysis for the classification of food emergencies.