Big Data and Development Project Showcase
Join us for student projects from the course Info 288: Big Data & Development; drop in to browse their posters and chat with the students and stay for short project presentations.
As new sources of digital data proliferate in developing economies, there is the exciting possibility that such data could be used to transform development research and policy.
Recent examples show how satellite imagery and deep learning can be used to identify and target pockets of extreme poverty; how mobile phone metadata can help track and stop the spread of malaria and Ebola; how social media analytics can improve disaster response; and how machine learning algorithms can help smallholder farmers optimize planting and harvesting decisions – to name just a few examples.
|10:30 – 11:00||Poster session|
|11:00 – 11:45||Short project presentations|
|11:45 – 12:30||Poster session|
- The Pursuit of Measuring Happiness: A Big Data Approach
- Detecting Food Insecurity with Word Embeddings
- Using Satellite Imagery and Deep Learning to Evaluate Community Aid Distribution in Myanmar
- Can Currency Devaluations be Predicted with Google Trends Data?
- Estimating Air Pollution with High-Resolution Satellite Imagery