Dates: February, March, and May 2023

Location: Tufts University Medford Campus

Sponsors: This event is organized by the Famine and Food Crisis Forecasting Center at Tufts University, which is a collaboration between the Feinstein International Center and the Initiative for the Forecasting and Modeling of Infectious Diseases (InForMID).

Event Flyer

This event aims to:

• Foster a learning community of enthusiasts in humanitarian and data science fields
• Facilitate the exchange of ideas across different disciplines, from data science to theorists to humanitarian practitioners
• Learn to work effectively in multi-generational groups with varying levels of technical skills and expertise
• Sharpen statistical, computing, and visualization skills, as well as understand the theory and concepts of faming formation, evolution, and resolution
• Recognize the challenges of both humanitarian work and data science
• Understand limitations and opportunities for forecasting in humanitarian contexts
• Deepen the dialogue around data quality, availability, accessibility, completeness and implications for bias, misinformation, distortion, and mistrust
• Develop and curate datasets to support future research