InSTEDD
From Humanitarian FOSS Summer Institute
Innovative Support to Emergencies, Diseases and Disasters [or InSTEDD], is an organization that seeks to bring technologies together in an attempt to help in the early detection of various diseases and disasters. InSTEDD reaches out to various venues for ideas, then brings these ideas to those who need them. Where necessary technologies do not exist, InSTEDD works to create the technologies, sharing them with the public when they are stable and usable. InSTEDD takes part in the Open Source Movement, and releases it's technologies as free open-source code.
| Developers | Mentors | |
|---|---|---|
| Juan Pablo Mendoza Qianqian Lin | Nicolas di Tada (Instedd) Taha Kass-Hout(Instedd) Danny Krizanc Takunari Miyazaki Ralph Morelli Trishan de Lanerolle | |
Contents |
Objectives
Our main goal is to work on the Machine Learning project in InSTEDD. We want to contribute to teaching machines to detect the spread of disease as soon as possible. Computers are capable of analyzing big loads of data much faster than humans, and could therefore make significant improvement to the early detection of disease. In actuality, we are doing whatever needs to be done to make the jobs of the professional programmers of InSTEDD easier, while at the same time learning about Artificial Intelligence and Machine Learning.
Sub-Projects
Documentation
- Final Presentation: Media:final_instedd_slides.pdf
- ALPACA design document: Media: alpaca_design.pdf
- Results of the LIBSVM-Reuters experiments and LIBSVM-Promed experiments
