On the Zooniverse website, I did the citizen science project called “Gravity Spy”. This project entailed the identification and classification of glitches from the Laser Interferometer Gravitational-Wave Observatory. My contributions to glitch identification, along with everyone else’s, gives physicists valuable data on the frequency of glitches, evolution of glitches, and patterns in glitches. Glitch classification with sophisticated algorithms sometimes isn’t full proof, and thousands of glitches happen each day, so it is important for as much people as possible to classify glitches. By doing glitch classification, I am also contributing to the improvement of glitch-identification algorithms. Studying glitches are integral to increasing the confidence of astrophysical detections, specifically, gravitational-wave detections. This is because glitches must be accounted for to accurately measure actual gravitational phenomena.
Citizen science project:
For my citizen science project, I did chimp and see on zooniverse.com, I was shown different clips, with either a chimpanzee or another animal. This project, mainly focused on learning more about nature and human evolution. While watching these 15 second clips, I had to state whether there was an animal in the video, and what they were doing. It was an interesting project, because I got to see different animals that I’ve never seen in a zoo. But also interpret what that animal was doing.
Citizen Science Project
I spent a few hours on the Wildwatch Kenya project through Zooniverse. It seemed simple enough. The site presented you with a picture and you said whether or not an animal was present and they had parameters you used to identify the animal present. Then you said how many there were, what they were doing, and if there were any young animals present. For the most part, the pictures were of empty skies and brush. It was really exciting when an animal popped up in the next picture. Then the hard part began: correctly identifying the animals. I worry that I may have classified the deer-like animals incorrectly. I looked for distinct marking and identifiers, but some were just too far away or out of focus for me to name with confidence. It was really cool to see animals I never knew existed, like the Guinea Fowl or the Zorilla. And the pictures of Zebras up close were stunning. I really enjoyed looking for the animals in the images; it was such an easy way to contribute to scientific research.
Citizen Science Project
Space has always been a big interest of mine, which is why I chose Gravity Spy as my citizen science project, which I found on Zooniverse. This particular project interested me because gravity waves are still a fairly new discovery in the field of science and there is still a lot of research going on regarding gravity waves. LIGO is the most sensitive and complicated gravitational experiment ever built, and with the data it collects there are often many glitches. The project I was tasked with was to identify glitches the gravity wave detectors have picked up as either a ‘blip’ or ‘whistle’. The blips simply looked like blips that popped up on the chart, and whistles showed up as thin lines that stretched across the graph. If there was a blip, I’d sort it into the blip category, and if a thin line was stretching across the graph, I’d classify it as a whistle. It was very fascinating to find out just how these sensitive detectors pick up the gravitational waves emitted from the two distant black holes a few hundred lightyears away combining two create one supermassive black hole. In all, this was a very interesting project that taught me more about the concept of gravity waves. I was able to help categorize information gathered by detectors like LIGO to help advance future research regarding gravity waves.
As my citizen science project, I entered the site zooniverse.org to find a project I was interested in. After some deciding, I chose to do the WildCam Darien project. This was a task where citizens could analyze images taken from forests and classify animals that were visible within the pictures. I completed about a dozen of these pictures, classifying over twenty animals. Some of them were quite difficult, as I could not identify any animals inside at the moment, and yet with close observation, I was able to discover them. This project is very useful to scientists because sometimes, scientists collect way too much data and they are unable to analyze it all. And so, they call upon citizens of science to help them.
Citizen Science Project
The citizen science project I chose to participate in was the elephant expedition project on zooniverse.org. I was drawn by this project because I have an admiration for elephants and I was interested to see why scientists wanted to keep track of them. After looking more into the task, I realized that scientists are trying to study the location of these animals by setting up hidden cameras and using motion detectors to capture photos of the elephants. They are doing this to protect the location from poachers who are trying to hunt the elephants for their ivory tusks. For this project, I had to view some of the photos that were captured and classify what was in the picture. Most of the photos contained elephants, however, a few of them were just pictures of shrubs and grass, and occasionally there was a photo of a gorilla or an indistinguishable creature. Overall, I thought it was really interesting to analyze these photos and do something to help a scientist conserve wildlife.
I choose a simulation called Bash the Bug on zooniverse. The task was to identify if there was any growth in bacteria after using an antibiotic or if it stayed the same. It shows a picture of the bacteria without antibiotics and multiple pictures of the bacteria with different dosages. I choose this simulation because I think it is important for scientist to understand how antibiotics are working against a certain bacteria. It’s important to be able to see this because scientist need to determine if that antibiotic is still useful against that bacteria or if they need to improve the antibiotic. It is necessary to keep up with this because a bacteria may become “immune” to the antibiotic which means that a new antibiotic needs to be used or that a higher dosage is needed to treat that bacteria. I liked participating in this project and helping to stop resistance to antibiotics.