1 00:00:03,240 --> 00:00:06,400 Speaker 1: One of the most overused phrases I found is renaissance man. 2 00:00:06,720 --> 00:00:09,399 Speaker 1: But it's not overused or inappropriate for one person I 3 00:00:09,520 --> 00:00:13,360 Speaker 1: met with recently, Walter Massey. Walter Massey has been the 4 00:00:13,480 --> 00:00:18,360 Speaker 1: leader of Morehouse College, the University of California, University of Chicago, 5 00:00:18,640 --> 00:00:22,639 Speaker 1: the Art Institute, the National Science Foundation, are Gone Labs, 6 00:00:22,920 --> 00:00:24,880 Speaker 1: and now he's leading the effort to get the giant 7 00:00:24,920 --> 00:00:28,960 Speaker 1: Magellan telescope funded by the US government and by private institutions. 8 00:00:29,120 --> 00:00:30,880 Speaker 1: I sat down with him recently at the University of 9 00:00:30,960 --> 00:00:33,480 Speaker 1: Chicago to talk about what he's most proud of having 10 00:00:33,560 --> 00:00:37,960 Speaker 1: achieved in this incredible life he's had. Dr Massey, you 11 00:00:38,000 --> 00:00:40,159 Speaker 1: have been, I would say, a renaissance man. You've been 12 00:00:40,159 --> 00:00:45,199 Speaker 1: involved in education, the arts, business, science. Of all the 13 00:00:45,240 --> 00:00:47,400 Speaker 1: things you've done in your incredible career, what is it 14 00:00:47,440 --> 00:00:50,200 Speaker 1: that you're most proud of? Well, I'm actually I'm proud 15 00:00:50,280 --> 00:00:54,000 Speaker 1: of all of those things. I think the position that 16 00:00:55,000 --> 00:00:58,640 Speaker 1: has given him more satisfaction going back to more House College, 17 00:00:58,720 --> 00:01:02,600 Speaker 1: which is my alma made as president. I went back 18 00:01:02,640 --> 00:01:07,120 Speaker 1: in nineteen and my wife, Sherln and I, when we 19 00:01:07,160 --> 00:01:09,920 Speaker 1: talk about the various things we've done, we agreed that 20 00:01:09,920 --> 00:01:12,600 Speaker 1: that was a lot of fun, but as I said, 21 00:01:12,640 --> 00:01:15,840 Speaker 1: satisfying a number of ways to go back to your 22 00:01:15,880 --> 00:01:19,280 Speaker 1: mo mata and to preside over their graduation. A little 23 00:01:19,560 --> 00:01:23,280 Speaker 1: about five thousand African American man, Let's talk about your 24 00:01:23,319 --> 00:01:27,280 Speaker 1: background for a moment um. You grew up in Mississippi 25 00:01:27,360 --> 00:01:30,040 Speaker 1: when it was very segregated. What was it like growing 26 00:01:30,080 --> 00:01:32,840 Speaker 1: up in Mississippi and that my nineteen forties and fifties. 27 00:01:33,319 --> 00:01:36,760 Speaker 1: My mother was a school teacher, him elementary school principal 28 00:01:36,800 --> 00:01:39,720 Speaker 1: of an odd who's a school teacher. I didn't know 29 00:01:39,760 --> 00:01:41,280 Speaker 1: what I wanted to be, but I didn't want to 30 00:01:41,280 --> 00:01:44,000 Speaker 1: be a school teacher. I thought I might want to 31 00:01:44,000 --> 00:01:46,400 Speaker 1: be an engineer. I have no idea. I don't think 32 00:01:46,440 --> 00:01:50,400 Speaker 1: I just heard the word engineer. I knew I would 33 00:01:50,480 --> 00:01:53,680 Speaker 1: go probably go to college because even in Mississippi in 34 00:01:53,720 --> 00:01:57,880 Speaker 1: those days, um my family went off to college mostly 35 00:01:57,880 --> 00:02:02,920 Speaker 1: in Mississippi and Mississippi. I didn't know I would wind 36 00:02:03,000 --> 00:02:05,800 Speaker 1: up in more House, and that was serendipity. A lot 37 00:02:05,840 --> 00:02:08,680 Speaker 1: of my life has been. It's one of the scholarship 38 00:02:08,800 --> 00:02:11,400 Speaker 1: that allowed me to go from the tenth grade to 39 00:02:11,600 --> 00:02:14,200 Speaker 1: more House, and that would have changed my life. But 40 00:02:14,360 --> 00:02:16,600 Speaker 1: you grew up in an all segregated area. I assume 41 00:02:16,639 --> 00:02:19,320 Speaker 1: that you were not going to launches and dinners with 42 00:02:19,360 --> 00:02:22,799 Speaker 1: whites at that time. No, No, The only lunches and 43 00:02:22,919 --> 00:02:25,880 Speaker 1: dinners became close to was working in the kitchen. My 44 00:02:25,960 --> 00:02:29,040 Speaker 1: grandmother was word as a domestic, and even my mother, 45 00:02:29,400 --> 00:02:33,680 Speaker 1: who worked as an elementary school elementary school teacher and 46 00:02:33,760 --> 00:02:38,320 Speaker 1: principal in the summers, sometimes worked as a domestic. We 47 00:02:38,320 --> 00:02:45,519 Speaker 1: were totally segregated, segregated sounds to a mile. It was apartheid, 48 00:02:45,880 --> 00:02:48,080 Speaker 1: like did you worry it for your safety and life? 49 00:02:48,120 --> 00:02:51,880 Speaker 1: At times? Not constantly. You one had to be careful, 50 00:02:51,919 --> 00:02:53,960 Speaker 1: and you would. There were things you knew you were 51 00:02:54,040 --> 00:02:57,720 Speaker 1: not to do from a very young age. White women 52 00:02:57,800 --> 00:03:02,360 Speaker 1: were very dangerous like man also, but in particular things 53 00:03:02,560 --> 00:03:05,520 Speaker 1: white girls and white women you would There were places 54 00:03:05,600 --> 00:03:09,760 Speaker 1: you didn't go. Um So there were modes of behavior 55 00:03:10,360 --> 00:03:14,320 Speaker 1: which you expect that you learned to adapt to. But 56 00:03:14,560 --> 00:03:17,079 Speaker 1: I didn't wake up every more and think thinking I 57 00:03:17,120 --> 00:03:21,640 Speaker 1: would be lynched. We lived in a community that was 58 00:03:21,880 --> 00:03:26,600 Speaker 1: a fairly warm community, had a big family, cousins all 59 00:03:26,880 --> 00:03:29,960 Speaker 1: lived all around me, and I would say, in spite 60 00:03:30,320 --> 00:03:34,960 Speaker 1: of the harsh segregation around us, within our bubble, you 61 00:03:35,080 --> 00:03:36,960 Speaker 1: might say, as much as you would keep it. I 62 00:03:37,000 --> 00:03:39,920 Speaker 1: had a good childhood. You got a scholarship to go 63 00:03:40,000 --> 00:03:44,040 Speaker 1: to more Morehouse when it was you would only completed 64 00:03:44,080 --> 00:03:46,840 Speaker 1: the tenth grade. So what happened to the eleventh and 65 00:03:46,840 --> 00:03:49,160 Speaker 1: twelfth grade? Did? You didn't need that? You went to 66 00:03:49,200 --> 00:03:51,160 Speaker 1: Morehouse once you're kind of young to get to college. 67 00:03:51,400 --> 00:03:55,240 Speaker 1: I was sixteen and I was part of a program, 68 00:03:55,280 --> 00:03:57,840 Speaker 1: so I wasn't the only one that was about it 69 00:03:57,880 --> 00:03:59,680 Speaker 1: has been going on for three years, and I was 70 00:03:59,720 --> 00:04:03,320 Speaker 1: in the third you have this experiment and uh, that 71 00:04:03,480 --> 00:04:07,040 Speaker 1: was about fifteen of us in my group, and there 72 00:04:07,120 --> 00:04:10,720 Speaker 1: had been some before. So the college had sort of 73 00:04:10,760 --> 00:04:15,920 Speaker 1: adjusted to these young kids coming in who didn't have couses. 74 00:04:16,279 --> 00:04:19,719 Speaker 1: So we had good counselors, had very good teachers, and 75 00:04:19,839 --> 00:04:23,440 Speaker 1: evidently we were smart. I didn't know it because, uh, 76 00:04:24,080 --> 00:04:27,920 Speaker 1: we were able to not just survive, but we were 77 00:04:28,440 --> 00:04:30,359 Speaker 1: were I would say we were some of the most 78 00:04:30,720 --> 00:04:33,800 Speaker 1: accomplished students in the college. Okay, so you go to 79 00:04:33,960 --> 00:04:36,200 Speaker 1: more House, uh, and you decide you want to major 80 00:04:36,279 --> 00:04:39,520 Speaker 1: in physics. So it was had a very popular major 81 00:04:39,560 --> 00:04:41,680 Speaker 1: at more House at the time. I was the only 82 00:04:41,760 --> 00:04:45,960 Speaker 1: physics major for my intil four years. In my class 83 00:04:46,480 --> 00:04:49,120 Speaker 1: that was one before me, if one before here? And 84 00:04:49,160 --> 00:04:50,600 Speaker 1: what did you tell your parents you were gonna be 85 00:04:50,680 --> 00:04:53,480 Speaker 1: a physics major? What did they say? My parents were 86 00:04:53,600 --> 00:04:57,320 Speaker 1: very good. Uh. My mother, I think would have wanted 87 00:04:57,400 --> 00:05:00,240 Speaker 1: me to be the typical mother to be a doc. Uh. 88 00:05:00,640 --> 00:05:04,720 Speaker 1: And I got a PhD was something, But they were 89 00:05:04,760 --> 00:05:09,040 Speaker 1: comfortable with whatever I showed. I came to physics through mathematics. 90 00:05:09,080 --> 00:05:12,120 Speaker 1: I was not a tinker. I was not a person 91 00:05:12,200 --> 00:05:15,719 Speaker 1: who did experiments, and in fact that was not that 92 00:05:16,520 --> 00:05:19,880 Speaker 1: attracted to laboratory science. But I like mathematics and I 93 00:05:19,920 --> 00:05:22,640 Speaker 1: was pretty good at it, and I took my and 94 00:05:22,680 --> 00:05:25,520 Speaker 1: I took my first physics schools. I saw that he 95 00:05:25,640 --> 00:05:29,240 Speaker 1: was a way mathematics could be used trying to understand 96 00:05:29,400 --> 00:05:32,520 Speaker 1: the world around. So you majored in physics, You graduated 97 00:05:32,560 --> 00:05:35,080 Speaker 1: from Warehouse, and then you decided to get a PhD 98 00:05:35,080 --> 00:05:38,480 Speaker 1: in physics at Washing University in St. Louis. Why did 99 00:05:38,520 --> 00:05:40,640 Speaker 1: you pick Washington University? A very good school? But how 100 00:05:40,680 --> 00:05:45,480 Speaker 1: did you pick that school? My physics teacher at more Houses, 101 00:05:45,520 --> 00:05:49,480 Speaker 1: his name was Hans Sabina's hop about Christians and it 102 00:05:49,600 --> 00:05:53,640 Speaker 1: was Danish white. Uh. Don a month with PhD from Harbord, 103 00:05:54,160 --> 00:05:58,160 Speaker 1: and he became my mentor and grew into a friend. 104 00:05:58,920 --> 00:06:01,040 Speaker 1: But as I said, I was the only and the 105 00:06:01,240 --> 00:06:03,400 Speaker 1: advanced physics class at that more House. I was the 106 00:06:03,440 --> 00:06:05,719 Speaker 1: only one in the class, so it was like the 107 00:06:05,760 --> 00:06:10,560 Speaker 1: Oxford tutorial system, just Chris and myself. And Chris recommended 108 00:06:10,960 --> 00:06:15,280 Speaker 1: that I go to why she this is nineteen sixty now, 109 00:06:16,080 --> 00:06:19,000 Speaker 1: and because I worked at more House one year and 110 00:06:19,760 --> 00:06:22,000 Speaker 1: it wasn't clear that that was every place was going 111 00:06:22,040 --> 00:06:26,480 Speaker 1: to be welcoming or nurturing and supportive of a young 112 00:06:26,560 --> 00:06:29,800 Speaker 1: black person wanted to be a physicist. And Chris thought, 113 00:06:29,839 --> 00:06:32,200 Speaker 1: what you had that environment and it turned out that 114 00:06:32,240 --> 00:06:34,840 Speaker 1: it did when you got your PhD? Or what did 115 00:06:34,880 --> 00:06:37,680 Speaker 1: you decide to do? I came to ARGON here in 116 00:06:37,760 --> 00:06:42,720 Speaker 1: Chicago as a post doctor, and Argon was run by 117 00:06:42,760 --> 00:06:46,080 Speaker 1: the University of Chicago, so I was also associated with 118 00:06:46,120 --> 00:06:49,440 Speaker 1: the University of Chicago then, and my first job was 119 00:06:49,480 --> 00:06:53,320 Speaker 1: working with the group at ARGON National Laboratory. She worked 120 00:06:53,320 --> 00:06:55,440 Speaker 1: in Oregon. Adventure you got a teaching position at the 121 00:06:55,480 --> 00:06:59,400 Speaker 1: University of Illinois, and Urvanah did and then you did 122 00:06:59,400 --> 00:07:02,040 Speaker 1: that for while you're teaching physics. I went to Albanna 123 00:07:02,160 --> 00:07:05,520 Speaker 1: for two reasons. I loved Argon. I love my research, 124 00:07:05,600 --> 00:07:07,400 Speaker 1: but that's what I was doing a little right here 125 00:07:07,400 --> 00:07:11,160 Speaker 1: in Hyde Park, about oh four blocks from here. Um 126 00:07:11,280 --> 00:07:15,480 Speaker 1: that celabrity. We could see it from where we it seated. 127 00:07:16,200 --> 00:07:21,080 Speaker 1: Nineteen sixty eight, Mine Luther King Jr. Was assassinated, and 128 00:07:21,120 --> 00:07:24,040 Speaker 1: from where we are now you could see the city 129 00:07:24,080 --> 00:07:27,200 Speaker 1: of burning, and I could see it from my apartment. 130 00:07:27,800 --> 00:07:31,920 Speaker 1: And it really became clear to me that I say, 131 00:07:31,960 --> 00:07:34,400 Speaker 1: I had this feeling that I was just not contributing 132 00:07:35,040 --> 00:07:38,040 Speaker 1: to the civil rights movement to the degree that I 133 00:07:38,120 --> 00:07:40,840 Speaker 1: felt that I ought to. I was going to Argon 134 00:07:41,200 --> 00:07:44,040 Speaker 1: doing my research. Coming home, I to the kids in 135 00:07:44,160 --> 00:07:47,080 Speaker 1: the command of the community. But I wanted to be 136 00:07:47,160 --> 00:07:49,200 Speaker 1: more engaged, and I thought if I went to a 137 00:07:49,240 --> 00:07:52,720 Speaker 1: college campus where there were students, I would be more 138 00:07:52,760 --> 00:07:56,679 Speaker 1: engaged in activities. I went to Albanna for that reason, 139 00:07:56,840 --> 00:08:01,400 Speaker 1: and Urbana turned out to be the very best place 140 00:08:01,400 --> 00:08:03,680 Speaker 1: in the world for the kind of physics I did. 141 00:08:03,800 --> 00:08:05,320 Speaker 1: You did that for a while, and then you got 142 00:08:05,360 --> 00:08:07,840 Speaker 1: recruited to go to Brown University. I did, and you 143 00:08:07,880 --> 00:08:10,520 Speaker 1: became the dean of studentship Brown, then of the college. 144 00:08:10,880 --> 00:08:13,000 Speaker 1: In the college and um were there a lot of 145 00:08:13,040 --> 00:08:17,440 Speaker 1: African American professors and a Brown Actually Uh, at that 146 00:08:17,560 --> 00:08:22,120 Speaker 1: point there were quite a few. And interestingly asked that 147 00:08:22,280 --> 00:08:24,760 Speaker 1: because I was just reminiscent with some of my old 148 00:08:24,800 --> 00:08:29,080 Speaker 1: friends about what we call a golden age at Brown. Brown. 149 00:08:29,320 --> 00:08:31,440 Speaker 1: And then when I went to the nineteen six to 150 00:08:31,520 --> 00:08:37,959 Speaker 1: nine and seven and we had Professor May in physics, engineering, chemistry, 151 00:08:38,320 --> 00:08:43,600 Speaker 1: political science, history three in English, the general council was black. 152 00:08:43,920 --> 00:08:47,280 Speaker 1: The associate had a him of it. So we had 153 00:08:47,280 --> 00:08:52,679 Speaker 1: a wonderful black community. It didn't grow at linearly, didn't 154 00:08:52,720 --> 00:08:55,600 Speaker 1: even last but a while. But yes, the period I 155 00:08:55,640 --> 00:09:00,360 Speaker 1: was there in the early seventh was front period Brown 156 00:09:00,440 --> 00:09:02,320 Speaker 1: for a number of years. And then you got recruited 157 00:09:02,360 --> 00:09:04,960 Speaker 1: to be the head of ARGON. I did. So what 158 00:09:05,040 --> 00:09:10,160 Speaker 1: does Argon actually do? Argon? Uh? It's called a general 159 00:09:10,240 --> 00:09:14,080 Speaker 1: science National Laboratory is one of the laboratories that the 160 00:09:14,160 --> 00:09:19,400 Speaker 1: Department of Energy owns, but they operated by contractors. University 161 00:09:19,440 --> 00:09:22,520 Speaker 1: operates our gone so forth. Much of this history it 162 00:09:22,559 --> 00:09:26,600 Speaker 1: was involved in nuclear reactors. Now it does basic science, 163 00:09:26,640 --> 00:09:30,760 Speaker 1: a lot of materials science, UH, and low temperature science. 164 00:09:30,800 --> 00:09:33,880 Speaker 1: That's why I was there in the sixties. It also 165 00:09:34,000 --> 00:09:38,360 Speaker 1: has a very large facility called the Advanced Photon Source, 166 00:09:38,720 --> 00:09:42,439 Speaker 1: which is like a giant high energy X ray machine 167 00:09:42,800 --> 00:09:47,080 Speaker 1: that can you know, penetrate through materials and examine them. 168 00:09:47,559 --> 00:09:51,440 Speaker 1: It's also has some of the world's fastest computers. It 169 00:09:51,440 --> 00:09:57,040 Speaker 1: has a big program and energy storage advanced research on batteries. 170 00:09:57,160 --> 00:10:00,560 Speaker 1: So it's a broad based um energy research. The laboratory 171 00:10:00,640 --> 00:10:04,160 Speaker 1: right now, So you're running argn um. Is that a 172 00:10:04,160 --> 00:10:06,880 Speaker 1: place where that was filled with a lot of black 173 00:10:06,920 --> 00:10:13,920 Speaker 1: physicists and mathematicians or it was fairly white? Fairly is not? 174 00:10:15,000 --> 00:10:22,040 Speaker 1: Fairly is an under statement? Mostly most overwhelming? But what all? Right? 175 00:10:22,080 --> 00:10:23,520 Speaker 1: So you're doing that for a number of years, and 176 00:10:23,559 --> 00:10:24,960 Speaker 1: then you get a chance to be the head of 177 00:10:25,000 --> 00:10:28,800 Speaker 1: the National Science Foundation. All of a sudden, you're handing 178 00:10:28,800 --> 00:10:30,920 Speaker 1: out money on behalf of the federal government, the National 179 00:10:30,960 --> 00:10:34,520 Speaker 1: Science Foundation. You find you are more popular than you believe. 180 00:10:34,600 --> 00:10:38,720 Speaker 1: It's always best to be on the side of being 181 00:10:38,880 --> 00:10:42,000 Speaker 1: asked for about it to ask for If you're doing 182 00:10:42,040 --> 00:10:43,839 Speaker 1: that for a few years and then you get a 183 00:10:43,920 --> 00:10:47,640 Speaker 1: chance to be the provost of the University of California system, 184 00:10:47,760 --> 00:10:50,920 Speaker 1: is that right? So why did you take that position? 185 00:10:50,960 --> 00:10:53,400 Speaker 1: It's a great job, and you'd want to be a 186 00:10:53,400 --> 00:10:56,439 Speaker 1: head of a major university. I did by that time 187 00:10:57,679 --> 00:11:03,480 Speaker 1: do the transition from doing too administering science that are gone. 188 00:11:03,520 --> 00:11:07,280 Speaker 1: And then as Uh, I began to see that I 189 00:11:07,360 --> 00:11:11,800 Speaker 1: really had a knack for um said, let's say running 190 00:11:11,800 --> 00:11:16,160 Speaker 1: the organizations, and that people people like working for me, 191 00:11:16,640 --> 00:11:20,560 Speaker 1: and I'd like working with people. And I saw that 192 00:11:20,600 --> 00:11:23,360 Speaker 1: I could get things done over areas that I cared 193 00:11:23,360 --> 00:11:28,400 Speaker 1: about science, education, science or underrepresented groups, these kinds of 194 00:11:28,440 --> 00:11:32,240 Speaker 1: things that I couldn't do as an individual scientist. All right, 195 00:11:32,280 --> 00:11:34,440 Speaker 1: so you took the position. You're the provost, the number 196 00:11:34,480 --> 00:11:37,280 Speaker 1: two position in all of the University of California system, 197 00:11:37,360 --> 00:11:40,320 Speaker 1: maybe the leading public education system in the United States 198 00:11:40,360 --> 00:11:43,640 Speaker 1: and higher education, and so you have a chance to 199 00:11:43,679 --> 00:11:46,360 Speaker 1: be the chance or the overall head of the University 200 00:11:46,400 --> 00:11:48,400 Speaker 1: California system if you'd stayed there for another year or 201 00:11:48,400 --> 00:11:50,840 Speaker 1: two and then all of a sudden, your alma mater 202 00:11:50,960 --> 00:11:53,400 Speaker 1: comes calling more House and they say, come back and 203 00:11:53,520 --> 00:11:56,520 Speaker 1: be the president of this small college in Atlanta, not 204 00:11:56,720 --> 00:11:59,960 Speaker 1: the head of the University California system. Why didn't you say, look, 205 00:12:00,000 --> 00:12:01,800 Speaker 1: I'm going to be the head of the University California system. 206 00:12:01,840 --> 00:12:03,800 Speaker 1: It's a better job than being they had a more House. 207 00:12:03,840 --> 00:12:06,040 Speaker 1: Why did you not do that? I did say that. 208 00:12:06,080 --> 00:12:08,839 Speaker 1: I said that for several months from the albit to 209 00:12:09,520 --> 00:12:14,080 Speaker 1: my alumni friends and trustees. I said, no, you're crazy 210 00:12:14,080 --> 00:12:18,080 Speaker 1: that I've been hill. My whole career has been in 211 00:12:18,679 --> 00:12:22,240 Speaker 1: big science, big institutions. I mean, that's that's what I know. 212 00:12:23,520 --> 00:12:27,679 Speaker 1: But um, I thought about it. It really was a 213 00:12:27,760 --> 00:12:31,840 Speaker 1: family decision. One day, Surely surprised me by flying in 214 00:12:32,000 --> 00:12:35,760 Speaker 1: my two sons for data and I came home for working. 215 00:12:35,800 --> 00:12:38,720 Speaker 1: There they were, and we talked a lot about it 216 00:12:38,760 --> 00:12:43,920 Speaker 1: and reached a decision that I could probably do more 217 00:12:43,960 --> 00:12:46,440 Speaker 1: in areas that I cared about, some of which I 218 00:12:46,480 --> 00:12:51,480 Speaker 1: just mentioned at more House. One. Secondly, that I really 219 00:12:51,640 --> 00:12:56,440 Speaker 1: owed priceefully everything that I had achieved to my beginnings 220 00:12:57,080 --> 00:12:59,719 Speaker 1: at more House, and that I ought to do this. 221 00:13:00,480 --> 00:13:04,959 Speaker 1: Our youngest son, the one who lives in Amsterdam, Eric said, 222 00:13:05,000 --> 00:13:08,720 Speaker 1: you know, being head of the University of California be great, Dad, 223 00:13:08,840 --> 00:13:11,880 Speaker 1: but you could get a lot more accomplished than he 224 00:13:11,880 --> 00:13:13,760 Speaker 1: had more House. How many years were you the president 225 00:13:13,760 --> 00:13:16,880 Speaker 1: of more Houses? That twelve years? Twelve years. Okay, so 226 00:13:17,200 --> 00:13:19,240 Speaker 1: while you're at more House, you got an opportunity to 227 00:13:19,240 --> 00:13:21,480 Speaker 1: go on the board of the Bank of America. No, 228 00:13:21,640 --> 00:13:25,000 Speaker 1: I did that in California, because then they went on 229 00:13:25,000 --> 00:13:26,880 Speaker 1: the board of the old bank. The old wore we 230 00:13:26,960 --> 00:13:29,800 Speaker 1: emerged and we were located in San Francisco. And then 231 00:13:29,800 --> 00:13:31,800 Speaker 1: at one point they said, you should be the chairman 232 00:13:31,840 --> 00:13:33,880 Speaker 1: of the board of Bank of America. Is that right? 233 00:13:34,240 --> 00:13:37,440 Speaker 1: That's right? Wasn't that simple? But that's right? And did 234 00:13:37,440 --> 00:13:38,880 Speaker 1: you want to be chairman of the board of Bank 235 00:13:38,880 --> 00:13:41,760 Speaker 1: of America. I had no time to think about it. 236 00:13:41,760 --> 00:13:45,400 Speaker 1: It came about so quickly. Came as a result of 237 00:13:45,440 --> 00:13:50,280 Speaker 1: the shareholders meeting in April two thousand nine. After the 238 00:13:50,280 --> 00:13:55,760 Speaker 1: shareholders had put on the proxy the agenda a proposition 239 00:13:55,880 --> 00:13:59,520 Speaker 1: to separate the chair from the CEO, as you know, 240 00:13:59,640 --> 00:14:04,920 Speaker 1: and most cooperation. That's a combined position. And the shareholder vote, 241 00:14:05,200 --> 00:14:08,440 Speaker 1: uh got the most. It's got the majorge of the votes. Now, 242 00:14:08,600 --> 00:14:11,240 Speaker 1: the board didn't have to accept that shareholder vote, so 243 00:14:12,160 --> 00:14:16,559 Speaker 1: recommendations and every good, but the board did. And just 244 00:14:16,720 --> 00:14:21,440 Speaker 1: after the board meeting, the then chairman Ken Lewis said, 245 00:14:21,480 --> 00:14:25,760 Speaker 1: the board executive committed I was gonna recommended to the 246 00:14:25,800 --> 00:14:28,080 Speaker 1: board that I'd be the chairman. This is on the 247 00:14:28,120 --> 00:14:31,440 Speaker 1: way into the meeting and I said, how long did 248 00:14:31,440 --> 00:14:35,360 Speaker 1: I think about this? This is about a minute. All right, 249 00:14:35,440 --> 00:14:38,400 Speaker 1: So Danny, if you get that position, a couple of 250 00:14:38,440 --> 00:14:40,520 Speaker 1: days later, the federal government calls you up and says, 251 00:14:40,680 --> 00:14:43,600 Speaker 1: guess what, we gotta talk to you. You've got some problems. 252 00:14:44,000 --> 00:14:46,160 Speaker 1: They told you that you had to do some serious 253 00:14:46,200 --> 00:14:48,880 Speaker 1: things to fix the Bank of Americas. At right, that's correct, 254 00:14:49,680 --> 00:14:53,960 Speaker 1: I thought when I accepted the position, but I thought, wow, 255 00:14:54,080 --> 00:14:57,400 Speaker 1: it's prestigious, it's on that and that, well I can 256 00:14:57,560 --> 00:14:59,440 Speaker 1: I can do it. I've been on I've been on 257 00:14:59,680 --> 00:15:02,400 Speaker 1: what the teen years, so I wasn't a novice in 258 00:15:02,480 --> 00:15:06,200 Speaker 1: the board room or with you know by then, of 259 00:15:06,360 --> 00:15:10,400 Speaker 1: financial institution. I've been on the board of McDonald's where 260 00:15:10,400 --> 00:15:14,360 Speaker 1: we had a non executive chair at one point, Motorola 261 00:15:14,480 --> 00:15:17,760 Speaker 1: had a non executive chair. So to BPCE so I 262 00:15:17,800 --> 00:15:20,680 Speaker 1: had seen what they did. It's about a two days 263 00:15:20,680 --> 00:15:27,200 Speaker 1: a week a job and pretty um. The preside over meetings, 264 00:15:27,280 --> 00:15:29,920 Speaker 1: you help with the agenda, You keep in touch the CEO. 265 00:15:30,240 --> 00:15:32,160 Speaker 1: I said, well, I can I can do that? Until 266 00:15:32,200 --> 00:15:38,960 Speaker 1: the fan called and asked me, asked, summoned me to Richmond, 267 00:15:39,440 --> 00:15:42,120 Speaker 1: which is the office of the Federal Reserve Branch that 268 00:15:42,240 --> 00:15:45,800 Speaker 1: oversees uh A. Bank of America was just located in 269 00:15:45,880 --> 00:15:49,120 Speaker 1: Charlotte and asked me to bring some other directors with 270 00:15:49,400 --> 00:15:52,680 Speaker 1: me because I didn't want to take this message back 271 00:15:52,760 --> 00:15:56,440 Speaker 1: to my colleague by myself. And the message they gave 272 00:15:56,520 --> 00:15:59,920 Speaker 1: me turn this into a full time job. So they 273 00:16:00,040 --> 00:16:02,720 Speaker 1: basically said that you had some financial problems at Bank 274 00:16:02,720 --> 00:16:05,560 Speaker 1: of America and you need to make some changes and 275 00:16:05,640 --> 00:16:08,320 Speaker 1: ultimately you have to spend a lot of time fixing 276 00:16:08,360 --> 00:16:11,280 Speaker 1: the Bank of America. Is that right? And so then 277 00:16:11,320 --> 00:16:14,160 Speaker 1: you led an effort to pick Brian moynahan, who's still 278 00:16:14,240 --> 00:16:17,360 Speaker 1: the CEO of Bank of America's a right, that's good. 279 00:16:17,600 --> 00:16:21,320 Speaker 1: So that worked out? Okay, that's what out? Fantastic Brian. 280 00:16:21,480 --> 00:16:24,000 Speaker 1: I think it's just done a wonderful It's not just 281 00:16:24,120 --> 00:16:27,280 Speaker 1: my opinion. He's been chosen CEO of the year. I 282 00:16:27,360 --> 00:16:30,640 Speaker 1: think a couple of time, not just in the financial industry, 283 00:16:30,680 --> 00:16:33,480 Speaker 1: but throughout the corporate America, and the bank has done 284 00:16:33,640 --> 00:16:36,320 Speaker 1: very well. I suppose somebody says, I'm watching this and 285 00:16:36,640 --> 00:16:38,800 Speaker 1: I'm a young person. I'm in college now or high 286 00:16:38,800 --> 00:16:40,720 Speaker 1: school or graduate school, and I want to be water 287 00:16:40,800 --> 00:16:43,200 Speaker 1: Massy and I grow up, what would you say is 288 00:16:43,200 --> 00:16:45,280 Speaker 1: the best way to prepare to be someone like you. 289 00:16:46,000 --> 00:16:49,040 Speaker 1: There's no substitute for hard work that it doesn't know, 290 00:16:49,280 --> 00:16:52,080 Speaker 1: let's start with that. But also pursue things that you're 291 00:16:52,120 --> 00:16:55,720 Speaker 1: interested in, things that you like, And especially if you 292 00:16:55,880 --> 00:17:01,480 Speaker 1: in high school and college, don't commit totally so quickly 293 00:17:02,000 --> 00:17:05,960 Speaker 1: to been totally absorbed in one thing. And you may 294 00:17:06,040 --> 00:17:09,640 Speaker 1: have to because if you're gonna do things like computer science, 295 00:17:09,680 --> 00:17:12,600 Speaker 1: maybe in physics, it really does take a lot of time. 296 00:17:13,240 --> 00:17:16,040 Speaker 1: But I urged young people just study other things. You know, 297 00:17:16,119 --> 00:17:21,159 Speaker 1: take courses outside of your especialty. It's a broad based learning. 298 00:17:21,680 --> 00:17:24,800 Speaker 1: From first, you're gonna enjoy it, and secondly, it might 299 00:17:24,960 --> 00:17:27,639 Speaker 1: open up other doors that you may not even realize. 300 00:17:27,720 --> 00:17:30,119 Speaker 1: Would you say race relations in the United States are 301 00:17:30,200 --> 00:17:32,360 Speaker 1: much better than when you were growing up in Mississippi 302 00:17:32,480 --> 00:17:34,720 Speaker 1: or do you think we've made less progress than you 303 00:17:34,720 --> 00:17:38,840 Speaker 1: think we should have made both? I think I think 304 00:17:38,880 --> 00:17:42,959 Speaker 1: that's much better, uh than when I was going up, 305 00:17:43,119 --> 00:17:45,320 Speaker 1: I would not be in the position you even have 306 00:17:45,440 --> 00:17:48,240 Speaker 1: this interview. And there are so many other people in 307 00:17:48,320 --> 00:17:54,720 Speaker 1: positions of importance, so many um people who occupied areas 308 00:17:54,760 --> 00:17:58,359 Speaker 1: and I never thought I would see them, and but 309 00:17:58,640 --> 00:18:02,639 Speaker 1: I would have hoped that be better. It's haven't done 310 00:18:02,640 --> 00:18:07,960 Speaker 1: a lot of progress, and somehow we are in an 311 00:18:08,000 --> 00:18:13,240 Speaker 1: area era now where in spite of the progress, race 312 00:18:13,320 --> 00:18:18,399 Speaker 1: relations in certain areas has become very scary. You know, 313 00:18:18,440 --> 00:18:21,920 Speaker 1: some of the things that one reads about now remind 314 00:18:22,040 --> 00:18:25,280 Speaker 1: me growing up in Mississippi. Let me ask you right 315 00:18:25,320 --> 00:18:27,679 Speaker 1: now about something you're involved in right now, which is 316 00:18:27,960 --> 00:18:31,920 Speaker 1: the Giant Magellan telescope. You're leading the effort to get 317 00:18:32,040 --> 00:18:35,119 Speaker 1: people to fund the Giant Magellan telescope. Why do we 318 00:18:35,200 --> 00:18:38,720 Speaker 1: need the Giant Magellan telescope since we have the web 319 00:18:38,760 --> 00:18:41,160 Speaker 1: selescope it seems to be sending back pretty nice pictures. 320 00:18:41,400 --> 00:18:44,880 Speaker 1: How much better is they trying? Magellan gonna be four 321 00:18:44,920 --> 00:18:48,720 Speaker 1: times better, four times better, four times better resolution, which 322 00:18:48,720 --> 00:18:52,000 Speaker 1: made the pictures will be sharp. But the science the 323 00:18:52,040 --> 00:18:54,120 Speaker 1: way it will work the web, as you're seeing those 324 00:18:54,160 --> 00:18:59,120 Speaker 1: pictures there sharp, but they are identifying parts of galaxies 325 00:18:59,200 --> 00:19:02,400 Speaker 1: and space almost back to the beginning of the universe 326 00:19:03,000 --> 00:19:08,400 Speaker 1: that people haven't seen. They can't, folks. It cannot focus, however, 327 00:19:08,920 --> 00:19:11,240 Speaker 1: more sharply as we would like to be able to 328 00:19:11,320 --> 00:19:15,679 Speaker 1: identify objects. So the web will identify a portion of space. 329 00:19:16,280 --> 00:19:20,800 Speaker 1: The GMT Giant Magellan telescope can affect zoom in on 330 00:19:20,880 --> 00:19:25,520 Speaker 1: that space, have final resolution, look at it more clearly. 331 00:19:25,840 --> 00:19:29,040 Speaker 1: And in addition to that, we'll have a set of 332 00:19:29,119 --> 00:19:33,359 Speaker 1: instruments which in collect that light, analyze it and see, 333 00:19:33,440 --> 00:19:36,879 Speaker 1: for example, does it contain signs of oxygen of water? 334 00:19:37,320 --> 00:19:40,560 Speaker 1: So they'll be complimentary. How much does it cost before 335 00:19:40,560 --> 00:19:44,640 Speaker 1: we get the giant Magellan telescope? We're estimating now at 336 00:19:44,680 --> 00:19:47,200 Speaker 1: over two billion dollars two billion dollars. And where is 337 00:19:47,200 --> 00:19:50,520 Speaker 1: that money coming from? About highs coming from private sources. 338 00:19:50,520 --> 00:19:53,919 Speaker 1: The University of Chicago being one of the eleven partners, 339 00:19:53,960 --> 00:19:57,479 Speaker 1: will put up about half, and the federal government is 340 00:19:57,520 --> 00:20:01,280 Speaker 1: now will negotiate with negoti shading with the National Science 341 00:20:01,280 --> 00:20:03,000 Speaker 1: Foundation to come up with the other half. You know, 342 00:20:03,040 --> 00:20:05,040 Speaker 1: I've often thought the way you could raise money for 343 00:20:05,080 --> 00:20:07,960 Speaker 1: the giant magel and telescope used to take away the 344 00:20:08,040 --> 00:20:10,479 Speaker 1: name Magellan because he didn't put up any money for it, 345 00:20:10,840 --> 00:20:14,359 Speaker 1: and let somebody very wealthy Elon Musk or Bill Gates 346 00:20:14,480 --> 00:20:16,480 Speaker 1: or somebody so will name it after them and put 347 00:20:16,560 --> 00:20:18,359 Speaker 1: up a billion dollars. You ever thought of that? We 348 00:20:18,520 --> 00:20:22,359 Speaker 1: think of that every day. I do. Yes, you have 349 00:20:22,440 --> 00:20:25,600 Speaker 1: a millionaire that you like, I think you need a 350 00:20:25,680 --> 00:20:27,600 Speaker 1: multi billionaire but there might be something out there. If 351 00:20:27,600 --> 00:20:29,400 Speaker 1: your name it after from it's a big, big naming 352 00:20:29,400 --> 00:20:32,240 Speaker 1: opportunity as Actually I'm not that we do. We have 353 00:20:32,440 --> 00:20:36,920 Speaker 1: naming opportunities all the way from a mirror, an instrument 354 00:20:37,119 --> 00:20:41,760 Speaker 1: that will look for ats so planets. Uh. For twenty million, 355 00:20:42,080 --> 00:20:44,840 Speaker 1: ten million dollars, the mirror is gonna be named. We 356 00:20:44,880 --> 00:20:49,000 Speaker 1: actually have one mirror name Uh. Mitchell dinner was Donna 357 00:20:49,320 --> 00:20:53,440 Speaker 1: to the university was twenty million dollars. Uh. The telescope 358 00:20:53,520 --> 00:20:58,160 Speaker 1: dome itself a hundred million dollars, and you can name 359 00:20:58,200 --> 00:21:00,760 Speaker 1: the whole. We can negotiate device for hotels. What are 360 00:21:00,760 --> 00:21:03,800 Speaker 1: they gonna name after anything? The water mashi anything or 361 00:21:04,080 --> 00:21:06,679 Speaker 1: anything name me after you? I think they have some 362 00:21:06,800 --> 00:21:11,639 Speaker 1: ported photopotties. The life of people on Earth is going 363 00:21:11,680 --> 00:21:14,080 Speaker 1: to be better if that is funded, because of what 364 00:21:14,080 --> 00:21:17,400 Speaker 1: we're gonna discover that there's life somewhere else in the universe. 365 00:21:17,680 --> 00:21:19,240 Speaker 1: And how is that going to make our life better? 366 00:21:20,400 --> 00:21:22,760 Speaker 1: I don't think it's gonna make your life better in 367 00:21:22,800 --> 00:21:28,800 Speaker 1: the sense of delivering material comfort, material advantages. I think 368 00:21:28,800 --> 00:21:33,360 Speaker 1: it's gonna make you want human life more interesting and 369 00:21:33,400 --> 00:21:38,520 Speaker 1: probably inspire people to think about their life differently. Uh. 370 00:21:38,560 --> 00:21:42,960 Speaker 1: The artist Jeff Kohn's Friends of Mine UM says that 371 00:21:43,040 --> 00:21:47,440 Speaker 1: when he looks at those images from the James Webb Telescope, 372 00:21:47,760 --> 00:21:51,320 Speaker 1: the others that show you almost the beginning of the university, 373 00:21:51,400 --> 00:21:56,200 Speaker 1: see these galaxies, it just makes you realize how special 374 00:21:56,240 --> 00:21:59,200 Speaker 1: it is to be living in these times when you 375 00:21:59,240 --> 00:22:02,480 Speaker 1: can discover these things, and how special it is to 376 00:22:02,520 --> 00:22:07,440 Speaker 1: be a human being. I mean, how improbable it is 377 00:22:07,520 --> 00:22:11,880 Speaker 1: that there's something like us that has been generated over 378 00:22:11,920 --> 00:22:15,320 Speaker 1: all these years and now we still exist. Do you 379 00:22:15,359 --> 00:22:19,720 Speaker 1: believe there is life in the universe somewhere else? I do? Now, 380 00:22:19,720 --> 00:22:24,000 Speaker 1: why do I say that's just probability there was? And 381 00:22:24,200 --> 00:22:27,320 Speaker 1: we go firm it we used to be here. Actually, 382 00:22:27,480 --> 00:22:32,000 Speaker 1: what is purported to have said, where is everybody? Why 383 00:22:32,080 --> 00:22:35,959 Speaker 1: haven't we heard from them? Because just given the number 384 00:22:36,200 --> 00:22:42,200 Speaker 1: of stars with what now they're calling exoplanets planets, that, um, 385 00:22:42,480 --> 00:22:45,840 Speaker 1: it looked like they would be situated close enough in 386 00:22:45,880 --> 00:22:49,359 Speaker 1: a position with a start to have life. They've already 387 00:22:49,400 --> 00:22:54,880 Speaker 1: discovered five thousand, five thousands and our galaxy, and given 388 00:22:54,920 --> 00:23:00,080 Speaker 1: a number of galesses billions in the universe, UM, it 389 00:23:00,160 --> 00:23:03,720 Speaker 1: just seems to be probably holly unlikely, you know, I 390 00:23:03,760 --> 00:23:07,880 Speaker 1: from a mathematical statistical point of view, that you wouldn't 391 00:23:07,920 --> 00:23:10,160 Speaker 1: have conditions like we have on it. But I don't 392 00:23:10,160 --> 00:23:12,480 Speaker 1: have any other reason. So as you look back on 393 00:23:12,560 --> 00:23:15,760 Speaker 1: your life incredible career, what would you say is the 394 00:23:15,880 --> 00:23:19,160 Speaker 1: legacy that you would like to have people think about you? What? 395 00:23:19,160 --> 00:23:21,160 Speaker 1: What would you're most proud of having done? Is at 396 00:23:21,160 --> 00:23:25,600 Speaker 1: the position at uh at moor House or your scientific leadership. 397 00:23:25,880 --> 00:23:28,520 Speaker 1: What would you say as your legacy to your children, 398 00:23:28,560 --> 00:23:32,840 Speaker 1: grandchildren and your fellow Americans. Well, it wouldn't be in 399 00:23:32,840 --> 00:23:37,800 Speaker 1: a particular accomplishment. I would hope it would be that 400 00:23:37,920 --> 00:23:42,400 Speaker 1: people would realize that you can accomplish a great deal 401 00:23:42,480 --> 00:23:45,600 Speaker 1: in life no matter where you start. Uh if you, 402 00:23:46,040 --> 00:23:49,360 Speaker 1: for I do think luck is involved a lot of luck, 403 00:23:49,600 --> 00:23:51,359 Speaker 1: But if you have the y of you have the 404 00:23:51,440 --> 00:23:56,480 Speaker 1: right mentors, um the right support, and if you yourself 405 00:23:56,560 --> 00:24:00,280 Speaker 1: are willing to work hard at it and and be 406 00:24:00,400 --> 00:24:04,840 Speaker 1: curious enough and bold enough to take advantage of opportunity 407 00:24:04,920 --> 00:24:09,199 Speaker 1: as one day arise. Thanks for listening to hear more 408 00:24:09,280 --> 00:24:12,320 Speaker 1: of my interviews. You can subscribe and download my podcast 409 00:24:12,359 --> 00:24:15,080 Speaker 1: on Spotify, Apple, or wherever you listen