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1. Keynote & Panel:             How to run a successful Open Source project
2. Whitebox topics:              Programmer tech talks on interesting emerging technologies
3. Slam Poetry:                    New community projects with an emphasis on the cool core technology
4. DIY Learning                    DIY machine learning algorithms with examples

Schedule

9:00    Harvard Open Source Informatics Community: Progress and Next Steps

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_Andrew McMurry (_CHIP, CBMI, I2B2)

9:30    Keynote: "How to Run a Successful Open Source Project"

Dries Buytaert (Creator, Drupal)

10:30 Whitebox Topic 1: Hadoop In Action

Justin Quan  (CHIP, CarraNet)

11:00 Coffee Break

11:15 Slam Poetry 1: New Projects, Grand Opportunities

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GARLIC: Genomic Analysis Results Library Integration Cell
Brian Wilson (I2B2)

Discussion

12:00 Lunch Break

12:45 DIY Learning: Mining Medical Free Text in Java
Learn the state of the art in mining doctor notes and research publications. Talk will focus on the pros and cons of using regular expressions, word counts, and part of speech parsing trees. Examples will be given in Java so you can DIY.

Guergana Savova (I2B2, CHIP Faculty)

1:45 Whitebox Topic 2: Massively parallel computing next generation sequencing

Luke Hutchinson (MIT PhD student and TED Fellow)

2:30 Coffee Break

2:45 Panel: Open Source Partnerships
Why are these companies open sourcing at all? What benefits do they see? What can they recommend to us towards building open source partnerships?

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Recombinant Data Corp
Aaron Abend, CEO

Black Duck Software

TODO
Andy: ping black duck
Andy: drupal guy?

Andy: Brian Wilson
Justin: Open Health Tools?
Justin: MySQL?
Justin: call harvard club available dates between March 15 - April 5th