![]() We will also give Wolfpack Citizen Science Challenge t-shirts to 23 randomly chosen participants. ![]() There will be prizes for the top Triangle and top NC State contributors. Matt Bertone to learn how to use iNaturalist, take pictures, and contribute to the project. On April 17, join us for a walk around Lake Raleigh led by Dr.We’ll have guided nature hikes throughout the day and hands-on iNaturalist training to help you get started. On April 15, visit Prairie Ridge Ecostation to help us document the wildlife there.On April 14, join us at the downtown Raleigh campus of the NC Museum of Natural Sciences for special biodiversity talks in the Daily Planet Theater, hands-on training in how to use iNaturalist, and opportunities to go outside and collect data around the Museum with an iNaturalist expert.From April 14-18, visit any outdoor space in the Triangle area, take photos of the plants, animals, and fungi you see, and submit them to iNaturalist!.Madhu Katti to learn how to use iNaturalist, take pictures, and contribute to the project. On April 13, join us for a campus walk led by Dr.Share your best photos on Instagram using the hashtag #WolfpackCitSci.Download our quick guide for detailed instructions.When adding an observation using the website, go to NCSU Wolfpack Citizen Science Challenge and click on Add Observations. When adding an observation using the app, tap on Projects and choose NCSU Wolfpack Citizen Science Challenge.After creating your account, go to Projects, search for NCSU Wolfpack Citizen Science Challenge, and join the project.Download the iNaturalist smartphone app for Android or Apple to submit observations as you go, or carry a camera with you and upload your photos through the website.Last day to submit observations to iNaturalist: April 30, 2017.Observations submitted to the City Nature Challenge will be added to the Museum's Natural North Carolina project, a growing record of biodiversity that can be used for education, to study the impacts of climate change, and to watch the movement of native and invasive species over time. We’ve got prizes for top campus participants as a thank you, too!Įvery observation can contribute to biodiversity science, from the rarest butterfly to the most common backyard weed. We’ll be competing against cities that are a lot bigger than the Triangle (Los Angeles, Miami, San Francisco, Chicago, Boston, and others), but North Carolina’s amazing biodiversity and the great urban wildlife we see every day can help us win. The City Nature Challenge is a competition between several American cities to see who can document the most biodiversity on iNaturalist over a 5-day period. Wolfpack Citizen Scientists are joining the NC Museum of Natural Sciences to document local biodiversity for the City Nature Challenge. We need YOUR help snapping photos of Triangle area plants, animals, and fungi. Take a Walk on the Wild Side of the Triangle ![]() Academic Departmental Library Representatives.Chancellor's Faculty Excellence Program.But my impression is that it's by no means the only breakthrough into professional data science. Hearing from people who've done it (or Insight), it seems like a good time and a great learning opportunity if you can get through. It would be nice if they were more on-to-it with letting people know they weren't accepted, but once again feels a lot like grad school apps. They had 2-3000 applicants and had <50 fellowships? I guess you learn a lot from applying and are always in much better shape the next cycle. Applying felt a lot like applying for grad school. I don't know what anyone's situation is, but for sure don't feel bad. And then write about it and make a confident elevator pitch. It seems they wanted you to at least be able to read in data into a database environment (be it within R/Matlab/Python/SQL whatever), and be able to slice the data and make simple plots of reasonable associations. Certainly nothing at the professional data science level, or even utilizing advanced machine learning. However, going on what I had seen others do for their analyses, the majority wasn't anything too sophisticated. I agree that they probably keep in mind how 'sellable' candidates are to their hiring partners. But I guess the hecticness and challenge aspect comes with the territory? It put a bit of a damper on my holiday though. I took a solid 12 hours (or more) total on it. I mean, it's nice that they provided links to datasets, but it's still a lot of work to pick something and commit to doing it, then find something good to show and write about at short notice. It definitely took me much more work than 3-4 hours to get anything halfway decent together.
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