Cleaning Data: the end of an era

Summer Research is in full swing! My project is starting to take shape and I am finally done cleaning my data!

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Update From Washington, DC

After a few weeks of getting used to waking up early and learning what it’s like to be a D.C. commuter, I am now well acquainted with my research at the Smithsonian Natural History Museum. I will admit that I initially struggled to get into a groove that allowed me to be productive, while making sure that I was able to get to D.C. on time. My schedule for the reminder of my time in D.C. consists of waking up at 5:40 AM and then catching the 6:40 commuter bus near my house in Prince William County, Virginia which takes me directly to downtown D.C. I usually arrive (traffic permitting) to the Natural History Museum around 8:00 and leave a little after 4:00 PM to catch the 4:30 bus which on most days allows me to arrive home by 6:15, although there have been days that I haven’t gotten home until 7:00. While this was hard for me at first, I now have no problem waking up early and am able to sleep on the bus to ¬†and from D.C. and have learned to go to bed relatively early. I have developed a newfound respect for commuters and anyone else that has to wake up at very early hours of the day.

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Named Entity Recognition

Stanford Named Entity Recognizer

Stanford’s Named Entity Recognizer software ran on a World Bank foreign aid document

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Update on Comparing Solvent Cleaning Treatments Using NMR

It is hard to believe that we have already completed two weeks here in the lab, but things are moving at a steady pace and a lot of work has been done in terms of experimenting with techniques which will be used to analyze paint samples that have been treated with solvents. While not directly moving forward with cleaning techniques on paint, determining the accuracy of these data gathering techniques is crucial because we need to be certain that we can retrieve the information that we need from the data we procure.

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