San Francisco, California
London, United Kingdom
The BYOD event is an opportunity for you to give your fellow Hacking Science community members a window into your data. Highlight your data set. Gripe about a common data problem you run into. Share why working with data is problematic. Demonstrate a cool tool that saves you a bunch of time when working with data. Bring your own data, bring your hacker spirit, and the result will be a better understanding of "data science" at Penn State, which will be used to form an agenda for an upcoming hackathon event. Participants are encouraged to talk about their projects, data, problems and solutions in a rapid presentation not to exceed 3 minutes.
If you want to show slides, or actual data, please bring along your laptop.
Free food will be served.
Some example data problems we'll be bringing to the table:
1- Many interesting problem domains ranging from smart energy utilization to medical informatics to severe weather prediction rely on combining
multiple heterogeneous data sources (a.k.a."Information Fusion") in order
to arrive at near-optimal solutions to complex problems. However, finding
appropriate data to test these techniques can be difficult. I will
discuss why publicly-available weather data from NOAA is an amazing
resource for information fusion and Big Data research, and give a 30
second introduction to using RESTful APIs to access data. (Jeff Rimland)
2- I'm interested in measuring disease incidence and health behaviors with social media. We collect a lot of data from Twitter, but our challenges are to separate signal from noise (using machine learning algorithms). Increasingly, data handling (data storage, speed of analysis, visualization etc.) becomes a major problem. (Marcel Salathé)
3- I will do a brief demo of Redis, a fast, in-memory key-value store, and talk about potential applications to data science. (Mike Giarlo)