The Humanitarian FOSS Project is a collaborative, community-building project that was started by a group of computing faculty and open source proponents at Trinity College, Wesleyan University, and Connecticut College. Our goal is to build a community of academic computing departments, IT corporations, and local and global humanitarian and community organizations dedicated to building and using Free and Open Source Software (FOSS) to benefit humanity.

Established in 2007, with funding from the Directorate for Computing & Information Science & Engineering (CISE) of The National Science Foundation (NSF) under its Pathways to Revitalized Undergraduate Computing Education program (CPATH), the HFOSS Project has been engaged in numerours activities since its start.

HFOSS logo.
HFOSS 2009 Symposium
HFOSS 2009 Interns
HFOSS 2008 Interns at work.
Richard Stallman Visit.
IBM/Sahana Workshop in Washington DC.
HFOSS 2008 Interns.
HFOSS 2007 Interns.
HFOSS Posit Experiement
HFOSS 2007 Interns
ISCRAM 2008.
HFOSS 2010.


Our approach is not unlike the Habitat for Humanity project: Instead of helping communities build houses, our students help build free software systems that benefit communities. The NSF grant enabled us to explore whether engaging students in the Humanitarian-FOSS enterprise helped undergraduates see that designing and building software is an exciting, creative, and (often) a socially beneficial activity.

The project's current focus includes building Open Source mobile applications for educational and humanitarian purposes. Working closely with MIT’s Center for Mobile Learning and the College Boards Computer Science Principles project we are designing mobile computing curriculum for high school and undergraduate students, based on App Inventor for Android platform. Working with ACDI/VOCA, we are designing and supporting a mobile based beneficiary registration and monitoring system to support a food distribution program in Haiti.

 

 

 


 

 

 

 

 

 

 

Acknowledgment and Disclaimer: This material is based upon work supported by the National Science Foundation under Grant Nos. CCF-0722137, CCF-0722134, CCF-0722199, CCF-0939034, CCF-0939097 and CCF-0939022 Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.