1 00:00:05,349 --> 00:00:03,189 a lot of experiments recently arriving 2 00:00:06,630 --> 00:00:05,359 on the cygnus cargo vehicle which docked 3 00:00:08,629 --> 00:00:06,640 with the international space station 4 00:00:10,470 --> 00:00:08,639 back on sunday 5 00:00:12,310 --> 00:00:10,480 yesterday i got a chance to catch up 6 00:00:14,150 --> 00:00:12,320 with one of the principal investigators 7 00:00:16,470 --> 00:00:14,160 of one of the more unique experience 8 00:00:17,750 --> 00:00:16,480 experiments that was brought on board 9 00:00:21,670 --> 00:00:17,760 so why don't we go ahead and take a 10 00:00:24,230 --> 00:00:21,680 listen to that now here on nasa tv 11 00:00:26,630 --> 00:00:24,240 so the cygnus resupply craft responsible 12 00:00:29,349 --> 00:00:26,640 for bringing over 2 700 pounds of 13 00:00:31,189 --> 00:00:29,359 supplies up to the crew of expedition 38 14 00:00:33,350 --> 00:00:31,199 among those supplies dozens of new 15 00:00:35,350 --> 00:00:33,360 experiments being brought on board the 16 00:00:36,790 --> 00:00:35,360 international space station probably one 17 00:00:39,190 --> 00:00:36,800 of the most unique and one of the most 18 00:00:41,350 --> 00:00:39,200 interesting on board is known as the 19 00:00:43,030 --> 00:00:41,360 ants in space joining me now the 20 00:00:44,470 --> 00:00:43,040 principal investigator for the project 21 00:00:46,709 --> 00:00:44,480 from the department of biology at 22 00:00:48,709 --> 00:00:46,719 stanford university professor debra m 23 00:00:50,709 --> 00:00:48,719 gordon professor thanks so much for 24 00:00:52,150 --> 00:00:50,719 joining me today i really appreciate it 25 00:00:54,150 --> 00:00:52,160 thanks for having me 26 00:00:56,310 --> 00:00:54,160 now as a professor of biology at 27 00:00:57,910 --> 00:00:56,320 stanford i've come to understand you 28 00:01:00,709 --> 00:00:57,920 study what's known as the evolutionary 29 00:01:03,670 --> 00:01:00,719 ecology of collective behavior now why 30 00:01:05,429 --> 00:01:03,680 is that you know an important research 31 00:01:08,390 --> 00:01:05,439 field and why are we studying ants in 32 00:01:10,550 --> 00:01:08,400 space to learn about it 33 00:01:13,030 --> 00:01:10,560 i study how systems work without any 34 00:01:14,789 --> 00:01:13,040 central control so in an ant colony 35 00:01:16,149 --> 00:01:14,799 nobody's in charge nobody tells anybody 36 00:01:18,710 --> 00:01:16,159 what to do 37 00:01:20,310 --> 00:01:18,720 and a lot of human engineered systems 38 00:01:21,590 --> 00:01:20,320 are like that too for example the 39 00:01:22,550 --> 00:01:21,600 internet 40 00:01:25,429 --> 00:01:22,560 or 41 00:01:27,510 --> 00:01:25,439 the problem that the ants are solving in 42 00:01:29,910 --> 00:01:27,520 space is a problem that we have to solve 43 00:01:32,630 --> 00:01:29,920 ourselves and it's the problem of how to 44 00:01:34,630 --> 00:01:32,640 search collectively how a group of 45 00:01:37,510 --> 00:01:34,640 individuals they could be ants they 46 00:01:39,990 --> 00:01:37,520 could be robots can search a space 47 00:01:41,510 --> 00:01:40,000 as effectively as possible without any 48 00:01:42,630 --> 00:01:41,520 central control 49 00:01:45,030 --> 00:01:42,640 so 50 00:01:48,469 --> 00:01:45,040 this experiment is about expandable 51 00:01:50,710 --> 00:01:48,479 search networks it's about how ant can 52 00:01:53,109 --> 00:01:50,720 adjust the shape of their paths 53 00:01:56,709 --> 00:01:53,119 to search a space in the best possible 54 00:01:59,350 --> 00:01:56,719 way adjusting their searching to the 55 00:02:00,870 --> 00:01:59,360 number of ants and the size of the space 56 00:02:02,709 --> 00:02:00,880 it's the same problem that a group of 57 00:02:05,109 --> 00:02:02,719 robots have to solve if they enter a 58 00:02:07,350 --> 00:02:05,119 burning building and have to figure out 59 00:02:09,830 --> 00:02:07,360 where to go and whether there's anything 60 00:02:12,229 --> 00:02:09,840 going on anything that needs to be fixed 61 00:02:14,869 --> 00:02:12,239 anybody that needs to be rescued 62 00:02:17,190 --> 00:02:14,879 and we'd like to be able to design a 63 00:02:18,309 --> 00:02:17,200 system and algorithm for robots to do 64 00:02:19,430 --> 00:02:18,319 that 65 00:02:21,270 --> 00:02:19,440 without 66 00:02:23,510 --> 00:02:21,280 with as little information as possible 67 00:02:25,830 --> 00:02:23,520 because that's the cheapest way to do it 68 00:02:28,630 --> 00:02:25,840 and that's a problem that ants have had 69 00:02:30,790 --> 00:02:28,640 150 million years of evolution to come 70 00:02:33,430 --> 00:02:30,800 up with great solutions 71 00:02:35,190 --> 00:02:33,440 okay and so we obviously know a lot 72 00:02:36,949 --> 00:02:35,200 about the evolution of ants up until 73 00:02:38,630 --> 00:02:36,959 this point so specifically for this 74 00:02:40,309 --> 00:02:38,640 experiment what was what were your 75 00:02:43,990 --> 00:02:40,319 guys's thoughts going into this what 76 00:02:46,229 --> 00:02:44,000 hypothesis were you working from 77 00:02:48,070 --> 00:02:46,239 well we know something about how ants on 78 00:02:50,710 --> 00:02:48,080 earth organize their searching 79 00:02:53,030 --> 00:02:50,720 collectively they adjust the shape of 80 00:02:56,229 --> 00:02:53,040 their paths so that 81 00:02:58,630 --> 00:02:56,239 when there are a few ants in a large 82 00:03:00,710 --> 00:02:58,640 space they use very straight paths to 83 00:03:03,270 --> 00:03:00,720 cover a lot of ground but when there are 84 00:03:04,390 --> 00:03:03,280 many ants in a small space 85 00:03:06,630 --> 00:03:04,400 they can 86 00:03:09,509 --> 00:03:06,640 be more thorough and each ant can take a 87 00:03:11,910 --> 00:03:09,519 much more convoluted path turning round 88 00:03:13,910 --> 00:03:11,920 and round in order to cover more ground 89 00:03:16,309 --> 00:03:13,920 because an ant searching thoroughly in 90 00:03:19,110 --> 00:03:16,319 one place can afford to do that because 91 00:03:20,229 --> 00:03:19,120 there'll be another ant nearby searching 92 00:03:21,750 --> 00:03:20,239 next door 93 00:03:23,350 --> 00:03:21,760 and they can afford to do that when 94 00:03:25,430 --> 00:03:23,360 they're very crowded 95 00:03:27,190 --> 00:03:25,440 so how do they know 96 00:03:29,670 --> 00:03:27,200 how crowded they are how do they assess 97 00:03:30,789 --> 00:03:29,680 density they use the rate at which they 98 00:03:32,630 --> 00:03:30,799 meet 99 00:03:34,710 --> 00:03:32,640 but in microgravity 100 00:03:37,430 --> 00:03:34,720 information about 101 00:03:39,350 --> 00:03:37,440 density isn't perfect in microgravity 102 00:03:41,270 --> 00:03:39,360 because the way that they walk around is 103 00:03:44,710 --> 00:03:41,280 influenced by 104 00:03:46,710 --> 00:03:44,720 the lack of gravity by that very basic 105 00:03:47,910 --> 00:03:46,720 orientation that they get from gravity 106 00:03:49,750 --> 00:03:47,920 being missing 107 00:03:51,990 --> 00:03:49,760 then the rate at which they meet won't 108 00:03:54,710 --> 00:03:52,000 correspond to density exactly 109 00:03:56,710 --> 00:03:54,720 so the hypothesis that we're testing is 110 00:03:59,910 --> 00:03:56,720 how in microgravity with imperfect 111 00:04:01,830 --> 00:03:59,920 information do ants adjust their paths 112 00:04:04,630 --> 00:04:01,840 to density 113 00:04:06,229 --> 00:04:04,640 okay and that was this was literally one 114 00:04:08,630 --> 00:04:06,239 of the first things to come out of the 115 00:04:10,710 --> 00:04:08,640 cygnus craft once it was docked and uh 116 00:04:12,470 --> 00:04:10,720 nas astronaut rick mastracchio was able 117 00:04:14,149 --> 00:04:12,480 to set it up on monday 118 00:04:16,629 --> 00:04:14,159 and actually execute the experiment can 119 00:04:17,749 --> 00:04:16,639 you describe uh just what happened or 120 00:04:21,590 --> 00:04:17,759 kind of what some of your early 121 00:04:22,469 --> 00:04:21,600 observations were from the experiment 122 00:04:25,270 --> 00:04:22,479 yes 123 00:04:26,950 --> 00:04:25,280 well the experiment consists of um ants 124 00:04:29,270 --> 00:04:26,960 in a rectangular 125 00:04:32,230 --> 00:04:29,280 arena with two barriers 126 00:04:35,110 --> 00:04:32,240 so they traveled confined in a very 127 00:04:37,670 --> 00:04:35,120 narrow nest area and then 128 00:04:39,830 --> 00:04:37,680 uh put the barrier down so that there 129 00:04:41,670 --> 00:04:39,840 were a lot of ants searching a small 130 00:04:44,150 --> 00:04:41,680 area and 131 00:04:46,550 --> 00:04:44,160 you'd expect them to use very convoluted 132 00:04:49,110 --> 00:04:46,560 paths because they can afford to be 133 00:04:50,950 --> 00:04:49,120 thorough when they're crowded and then 134 00:04:53,430 --> 00:04:50,960 the second barrier went down so then 135 00:04:55,590 --> 00:04:53,440 they were in a larger space so suddenly 136 00:04:57,909 --> 00:04:55,600 density has gone down it's as though 137 00:05:00,070 --> 00:04:57,919 there are a few ants in a big area and 138 00:05:02,710 --> 00:05:00,080 they have to stretch out the network of 139 00:05:04,469 --> 00:05:02,720 paths they have to use straighter paths 140 00:05:06,390 --> 00:05:04,479 and so the experiment consisted of 141 00:05:09,430 --> 00:05:06,400 seeing how the ants would adjust their 142 00:05:11,670 --> 00:05:09,440 paths when their density changed and it 143 00:05:13,830 --> 00:05:11,680 looks as though they 144 00:05:15,510 --> 00:05:13,840 had a little trouble in microgravity the 145 00:05:17,590 --> 00:05:15,520 arena was very 146 00:05:19,990 --> 00:05:17,600 shallow the ceiling was very low so they 147 00:05:22,950 --> 00:05:20,000 weren't floating around but still they 148 00:05:23,749 --> 00:05:22,960 had to work harder to just to move and 149 00:05:25,670 --> 00:05:23,759 so 150 00:05:27,670 --> 00:05:25,680 their interactions with each other were 151 00:05:30,550 --> 00:05:27,680 influenced by that and so we're going to 152 00:05:32,150 --> 00:05:30,560 be now analyzing the data to see how 153 00:05:35,670 --> 00:05:32,160 exactly they used the rate of 154 00:05:37,110 --> 00:05:35,680 interaction to adjust their searching 155 00:05:39,670 --> 00:05:37,120 okay and 156 00:05:41,270 --> 00:05:39,680 another thing that struck me is pretty 157 00:05:42,790 --> 00:05:41,280 pretty cool about this study is you guys 158 00:05:44,790 --> 00:05:42,800 are also going to be kind of reaching 159 00:05:46,870 --> 00:05:44,800 out to classrooms and students to do 160 00:05:49,110 --> 00:05:46,880 their own versions of this experiment 161 00:05:50,950 --> 00:05:49,120 can you talk a little bit about that 162 00:05:54,230 --> 00:05:50,960 this is a really simple experiment that 163 00:05:57,350 --> 00:05:54,240 anyone can do and with very simple cheap 164 00:05:59,270 --> 00:05:57,360 materials anybody can test how their 165 00:06:01,110 --> 00:05:59,280 local favorite ants 166 00:06:03,510 --> 00:06:01,120 are searching collectively how they're 167 00:06:05,110 --> 00:06:03,520 working together to cover ground and be 168 00:06:08,150 --> 00:06:05,120 effective searchers 169 00:06:09,830 --> 00:06:08,160 and i think that probably the invasive 170 00:06:12,150 --> 00:06:09,840 species that we tend to see in our 171 00:06:13,990 --> 00:06:12,160 kitchens all around the world are there 172 00:06:15,749 --> 00:06:14,000 because for one thing they're really 173 00:06:17,830 --> 00:06:15,759 good at searching and so i think it'll 174 00:06:19,909 --> 00:06:17,840 be really interesting if kids around the 175 00:06:21,510 --> 00:06:19,919 world try this experiment with different 176 00:06:23,590 --> 00:06:21,520 kinds of ants and then we're going to 177 00:06:26,230 --> 00:06:23,600 have a central database compare the 178 00:06:29,029 --> 00:06:26,240 results and see how ants in different 179 00:06:31,029 --> 00:06:29,039 places operate as searchers 180 00:06:32,950 --> 00:06:31,039 so it's interesting to see not just how 181 00:06:35,110 --> 00:06:32,960 they do it in gravity and microgravity 182 00:06:36,790 --> 00:06:35,120 but how they do it in different kinds of 183 00:06:38,230 --> 00:06:36,800 ecological conditions in different 184 00:06:39,749 --> 00:06:38,240 places 185 00:06:41,590 --> 00:06:39,759 and i mean that definitely sounds good i 186 00:06:43,110 --> 00:06:41,600 mean what kids don't like playing with 187 00:06:45,270 --> 00:06:43,120 bugs so it could definitely be a really 188 00:06:47,350 --> 00:06:45,280 cool way to you know get young kids 189 00:06:48,950 --> 00:06:47,360 interested in math and science so 190 00:06:50,710 --> 00:06:48,960 obvious next steps for your research 191 00:06:52,790 --> 00:06:50,720 you're going to be analyzing the data do 192 00:06:55,189 --> 00:06:52,800 you have any you know further outlooking 193 00:06:56,950 --> 00:06:55,199 plans flying more ants any other type of 194 00:06:59,589 --> 00:06:56,960 insect that might work with that swarm 195 00:07:01,990 --> 00:06:59,599 mentality 196 00:07:03,589 --> 00:07:02,000 i've learned in the course of talking to 197 00:07:04,950 --> 00:07:03,599 people about this experiment that there 198 00:07:07,749 --> 00:07:04,960 are a lot of really interesting 199 00:07:09,749 --> 00:07:07,759 biological changes that go on in 200 00:07:11,830 --> 00:07:09,759 microgravity for example the way that 201 00:07:13,749 --> 00:07:11,840 nutrients circulate around cells the way 202 00:07:15,909 --> 00:07:13,759 that genes are expressed 203 00:07:18,390 --> 00:07:15,919 and so i think that we really have a lot 204 00:07:21,029 --> 00:07:18,400 to learn about how collective behavior 205 00:07:23,909 --> 00:07:21,039 operates by trying it in space 206 00:07:25,029 --> 00:07:23,919 so if i'm invited again to design more 207 00:07:27,510 --> 00:07:25,039 research 208 00:07:29,110 --> 00:07:27,520 i would definitely say yes 209 00:07:31,510 --> 00:07:29,120 would you be using ants again you think 210 00:07:34,629 --> 00:07:31,520 they seem to have quite a bit of 211 00:07:36,870 --> 00:07:34,639 evolutionary history behind them 212 00:07:39,830 --> 00:07:36,880 yes there's uh ants 213 00:07:41,909 --> 00:07:39,840 well ants have evolved collective 214 00:07:44,390 --> 00:07:41,919 behavior what we call in robotics 215 00:07:46,629 --> 00:07:44,400 distributed algorithms for accomplishing 216 00:07:48,150 --> 00:07:46,639 a lot of different tasks and i think 217 00:07:49,830 --> 00:07:48,160 that we really have a lot to learn from 218 00:07:52,790 --> 00:07:49,840 the ants 219 00:07:54,469 --> 00:07:52,800 well in the words of a famous tv newsman 220 00:07:55,749 --> 00:07:54,479 i for one welcome our new insect 221 00:07:57,029 --> 00:07:55,759 overlords 222 00:07:59,830 --> 00:07:57,039 uh well 223 00:08:02,390 --> 00:07:59,840 i mean again fascinating study i really 224 00:08:03,909 --> 00:08:02,400 appreciate you taking some time out to 225 00:08:05,830 --> 00:08:03,919 give us the nuts and bolts of this we 226 00:08:08,070 --> 00:08:05,840 really look forward to uh seeing your 227 00:08:10,070 --> 00:08:08,080 results again uh principal investigator 228 00:08:11,830 --> 00:08:10,080 for ants in space professor deborah m 229 00:08:13,589 --> 00:08:11,840 gordon from stanford university thank