Data-Intensive International Development Poster Session

Join us for a final project exhibition for the course Info 290. Data-Intensive International Development.

Posters will be on display from 1:00 to 2:30; students will deliver lightning presentations from 1:30 to 2:00.

The course introduces students to the opportunities and challenges for data-intensive approaches to international development.

As new sources of digital data proliferate in developing economies, there is the exciting possibility that such data could be used to benefit the world’s poor. Recent examples from the research literature 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.

Student projects reflect original statistical and computational analysis of real-world data, with the potential benefit the world’s poor.