1 00:00:00,030 --> 00:00:06,400 Hi. I'm Michelle Handleman, I'm at the Visitors Center here at NASA's Goddard 2 00:00:06,420 --> 00:00:06,450 Space Flight Center and inside we have a big science fair happening 3 00:00:06,470 --> 00:00:10,520 that's part of the GLOBE program. Let's go inside and meet some of the 4 00:00:10,540 --> 00:00:14,560 participants. [music] 5 00:00:14,580 --> 00:00:18,660 6 00:00:18,680 --> 00:00:22,740 So the GLOBE program has been around for a very long time and students have these 7 00:00:22,760 --> 00:00:26,830 protocols that are standardized across the whole world. But there's been 8 00:00:26,850 --> 00:00:30,840 I think a missing element. This opportunity to showcase their work 9 00:00:30,860 --> 00:00:34,860 in a competitive environment through like a science fair competition. And so that's what we're holding here today. 10 00:00:34,880 --> 00:00:38,880 The first in a series of regional science fair competitions funded by the 11 00:00:38,900 --> 00:00:42,910 National Science Foundation and organized in collaboration with the GLOBE program 12 00:00:42,930 --> 00:00:46,980 office. All right well your project was finding out if animals are safer 13 00:00:47,000 --> 00:00:51,060 under the snow. Tell me about that? Usually we have a lot more 14 00:00:51,080 --> 00:00:55,160 snow than we did this year. So we wanted to see how the little animals 15 00:00:55,180 --> 00:00:59,270 survive during the cold winters. And we knew that 16 00:00:59,290 --> 00:01:03,400 snow insolated because we were reading articles that our teacher gave us. We tested 17 00:01:03,420 --> 00:01:08,400 dissolved oxygen and PH and we found out that 18 00:01:08,420 --> 00:01:12,410 e coli levels are really unsafe for our community. Before this I didn't 19 00:01:12,430 --> 00:01:16,440 really know how bad the water actually was. The e coli is an absurd amount 20 00:01:16,460 --> 00:01:20,480 it's well over the safe drinking and swimming level and we still have kids 21 00:01:20,500 --> 00:01:24,560 playing in it and animals drinking from it. What's it like knowing 22 00:01:24,580 --> 00:01:28,660 that NASA scientists are interested in this kind of work? I think it's 23 00:01:28,680 --> 00:01:34,660 so cool. I've never really met a NASA scientist before 24 00:01:34,680 --> 00:01:38,670 I haven't really met that many scientists ever actually and it's really cool just to experience this. It's 25 00:01:38,690 --> 00:01:42,690 very exciting knowing that people that are very high in science 26 00:01:42,710 --> 00:01:46,720 that do a lot of science for their job, their work are actually 27 00:01:46,740 --> 00:01:50,820 interested in three kids from Deerfield. Has working on this 28 00:01:50,840 --> 00:01:54,840 GLOBE project inspired you to study science 29 00:01:54,860 --> 00:01:58,920 engineering, math in college? Yeah it's definitely opened my eyes 30 00:01:58,940 --> 00:02:02,970 to different, like to broader terms of science. Like science doesn't have to just 31 00:02:02,990 --> 00:02:07,030 be like, there's not just form of science. There's so many different horizons to it. 32 00:02:07,050 --> 00:02:11,090 I've always wanted to do math and I've loved it. But just being here I've found 33 00:02:11,110 --> 00:02:15,120 that there are jobs for mathematicians at NASA 34 00:02:15,140 --> 00:02:19,190 you don't just have to major in science to be here. Why was this project 35 00:02:19,210 --> 00:02:23,270 important to you personally? After starting to do the project 36 00:02:23,290 --> 00:02:27,380 after realizing what an impact we make on the water, I realized that 37 00:02:27,400 --> 00:02:31,390 I actually needed to take a stand to make the water safer. 38 00:02:31,410 --> 00:02:35,430 For me I own five horses and so all of this manure and all of this 39 00:02:35,450 --> 00:02:39,460 continuous nasty is running into our water. All the work these students are doing 40 00:02:39,480 --> 00:02:43,490 are feeding into a database that's accessed by NASA scientists 41 00:02:43,510 --> 00:02:47,540 and other scientists around the world. We can't predict what kind of jobs these students will be 42 00:02:47,560 --> 00:02:51,600 competing for. So we have to prepare them as best we can to compete 43 00:02:51,620 --> 00:02:55,670 in an environment that is a big mystery. And so making sure they have 44 00:02:55,690 --> 00:02:59,750 the best skillsets to earn the best paying jobs and also to 45 00:02:59,770 --> 00:03:03,850 support you know our economy as it moves forward is really important to me 46 00:03:03,870 --> 00:03:14,975 and also to the agency. [music]