1
00:00:00,080 --> 00:00:01,120
David, where are we?

2
00:00:01,360 --> 00:00:04,800
We are in Rabat, which is the capital of Morocco.

3
00:00:05,040 --> 00:00:05,600
Yes, we are.

4
00:00:05,760 --> 00:00:11,520
And David, did you realize that this uh week is our one-year anniversary

5
00:00:11,680 --> 00:00:14,480
of uh of uploading uh episodes?

6
00:00:14,720 --> 00:00:19,280
Wow, I mean I did know that because you told me before we started recording this, but it is

7
00:00:19,280 --> 00:00:20,720
cool to be reminded of that fact.

8
00:00:21,120 --> 00:00:21,600
Yes, yes.

9
00:00:21,760 --> 00:00:25,920
So um so this this week we have a special mini episode.

10
00:00:26,080 --> 00:00:27,920
Um next week we'll go back to regular.

11
00:00:28,080 --> 00:00:28,240
Yep.

12
00:00:28,690 --> 00:00:31,810
But because we're in Robot, we just wanted to do something a little bit different.

13
00:00:32,370 --> 00:00:35,730
And we grabbed uh at least one person, maybe two.

14
00:00:35,810 --> 00:00:38,370
We'll see who this is, but at least we have Brett Beheim.

15
00:00:38,850 --> 00:00:42,930
Um and uh but yeah, but it's been really nice to meet talk to people, people who are

16
00:00:42,930 --> 00:00:44,690
listening, uh people giving feedback.

17
00:00:45,170 --> 00:00:47,570
Yeah, um we we never mentioned why we're in robot.

18
00:00:48,130 --> 00:00:48,850
Uh right.

19
00:00:49,170 --> 00:00:54,580
Why are we in it's in the middle of the night.

20
00:00:54,740 --> 00:00:55,860
No, it's not the middle of the night for me.

21
00:00:55,940 --> 00:00:56,740
I don't yeah, I don't know.

22
00:00:57,220 --> 00:00:58,100
I'm a little jet lag.

23
00:00:58,660 --> 00:01:00,420
Feeling a little crummy, yeah.

24
00:01:00,740 --> 00:01:04,580
Yeah, and we're all kind of more mentally depleted to why so David, why are we in robot?

25
00:01:04,900 --> 00:01:10,820
Okay, we are in robot for the human behavior and evolutionary uh H B E S.

26
00:01:11,140 --> 00:01:13,780
H-B E S human behavior and Cultural Evolution Society was before.

27
00:01:14,100 --> 00:01:14,340
That's right.

28
00:01:14,500 --> 00:01:14,580
Yeah.

29
00:01:14,820 --> 00:01:17,460
Uh so we're at the Human Behavior and Evolution Society Conference.

30
00:01:18,030 --> 00:01:22,190
Uh which is it the largest gathering of evolutionary social scientists in the world?

31
00:01:22,590 --> 00:01:26,270
Um well there's E B and uh I don't know.

32
00:01:26,510 --> 00:01:27,710
I don't know which one is bigger or something.

33
00:01:27,790 --> 00:01:28,190
I don't know.

34
00:01:28,430 --> 00:01:29,070
Doesn't matter.

35
00:01:29,310 --> 00:01:32,830
I I guess um That's a very American thing to be like which one's bigger.

36
00:01:33,070 --> 00:01:35,150
Or uh I suppose which one is higher quality.

37
00:01:35,230 --> 00:01:36,270
That's also a fraught.

38
00:01:36,350 --> 00:01:37,150
I I yeah.

39
00:01:37,470 --> 00:01:42,990
It's a it's one of one of the great coming together

40
00:01:43,390 --> 00:01:46,300
uh of um evolutionary behavioral science.

41
00:01:46,620 --> 00:01:52,460
Yeah, it does feel like a great pilgrimage for for everyone and re reunite reun you

42
00:01:52,460 --> 00:01:57,820
can't even speak reunification with friends and like-minded thinkers and and and just a

43
00:01:57,820 --> 00:02:01,180
great melting pot of different ideas and perspectives that is really exciting.

44
00:02:01,580 --> 00:02:07,470
Yeah and this this is a good HBAS NCS and lots of anthropology Really great, some people

45
00:02:07,470 --> 00:02:08,590
that we're going to have on the episode.

46
00:02:08,670 --> 00:02:10,750
Hopefully Hanukoko was one of the plenaries.

47
00:02:11,230 --> 00:02:12,670
Incredible Hanakoco.

48
00:02:12,830 --> 00:02:14,110
I'm super fan of Hanukoko.

49
00:02:14,430 --> 00:02:15,150
Oh my brilliant.

50
00:02:15,550 --> 00:02:18,430
Brilliant theoretical biologist that just totally blew my mind.

51
00:02:19,070 --> 00:02:20,750
Yeah, we'll have to have around in the future.

52
00:02:21,070 --> 00:02:25,230
Why are whales so big and why do they are they so slow lived?

53
00:02:26,030 --> 00:02:26,270
Yes.

54
00:02:26,590 --> 00:02:29,230
That was one of the many interesting questions that she answered.

55
00:02:29,600 --> 00:02:29,680
Yeah.

56
00:02:30,080 --> 00:02:35,840
So yeah, uh we had a great time at HBES and um we managed to snag a bit of

57
00:02:35,840 --> 00:02:36,720
Brett Beheim.

58
00:02:36,800 --> 00:02:36,880
Yeah.

59
00:02:37,120 --> 00:02:40,880
We we managed to snag a bit of his time uh after the conference and he shared some really

60
00:02:40,880 --> 00:02:45,280
interesting thoughts with us about uh the Neo-Darwinian synthesis and how we can make that

61
00:02:45,280 --> 00:02:47,440
happen in the evolutionary social sciences.

62
00:02:47,760 --> 00:02:48,000
Yeah.

63
00:02:48,080 --> 00:02:53,600
Uh so yeah, enjoy this very brief uh sort of like one year anniversary episode.

64
00:02:53,760 --> 00:02:59,510
We'll see you next week for our regular uh programming and uh and yeah thank you again to

65
00:02:59,510 --> 00:03:05,430
everybody who's been so wonderful uh giving us feedback and please keep um letting us know

66
00:03:05,430 --> 00:03:07,590
what might be of interest for the future.

67
00:03:07,830 --> 00:03:09,590
Please I'm looking forward to next year.

68
00:03:09,910 --> 00:03:10,390
I know.

69
00:03:10,550 --> 00:03:10,710
Yeah.

70
00:03:10,950 --> 00:03:12,470
We'll see you in year two.

71
00:03:12,950 --> 00:03:13,670
See you next week.

72
00:03:13,750 --> 00:03:13,990
Yeah.

73
00:03:14,710 --> 00:03:15,510
Which is next week.

74
00:03:15,750 --> 00:03:16,230
I know.

75
00:03:16,470 --> 00:03:16,710
All right.

76
00:03:16,840 --> 00:03:17,560
bye everybody.

77
00:03:17,800 --> 00:03:18,120
Bye.

78
00:03:21,560 --> 00:03:23,960
Uh Brett, good to see you.

79
00:03:24,200 --> 00:03:25,320
Uh how's HBest going?

80
00:03:25,480 --> 00:03:26,600
Were you at Cultural Evolution?

81
00:03:26,840 --> 00:03:28,200
Yeah, I was at Cultural Evolution.

82
00:03:28,520 --> 00:03:30,840
And now I'm at HBest, so I get a little bit of both this time.

83
00:03:31,080 --> 00:03:31,320
Nice.

84
00:03:31,480 --> 00:03:32,200
Best of both worlds.

85
00:03:32,440 --> 00:03:33,000
Best of both worlds.

86
00:03:33,160 --> 00:03:34,520
Do I be mics by the way?

87
00:03:34,760 --> 00:03:35,640
Uh we don't know yet.

88
00:03:36,120 --> 00:03:38,440
Well I will listen to this I know.

89
00:03:42,310 --> 00:03:47,270
Um if you you nobody can see Brett is uh um looming.

90
00:03:47,510 --> 00:03:48,950
Yeah, looming Brett.

91
00:03:49,030 --> 00:03:49,750
Uh yeah.

92
00:03:49,990 --> 00:03:53,750
Now what has been your um favorite talk of your class so far?

93
00:03:54,550 --> 00:03:56,230
Oh man, that's tough.

94
00:03:56,390 --> 00:04:01,510
Um I really enjoyed one of the plenaries by Stephen Vasey that was um kind of a meta

95
00:04:01,750 --> 00:04:06,790
plenary because he was presenting as somewhat of a new person to the field of cultural

96
00:04:06,790 --> 00:04:09,910
evolution and he was coming from a sociology perspective.

97
00:04:10,160 --> 00:04:15,280
So he said, you know, uh it might be useful to consider some ideas that normally aren't

98
00:04:15,280 --> 00:04:19,280
discussed in evolutionary social science, like the growth of institutions.

99
00:04:19,920 --> 00:04:24,480
And he actually was also thinking about this in kind of a planning perspective.

100
00:04:24,640 --> 00:04:30,240
Like uh evolutionary social sciences are getting bigger, uh, and cultural evolution in

101
00:04:30,240 --> 00:04:34,390
particular is is sort of growing into maybe a mature something, but it's not clear what

102
00:04:34,390 --> 00:04:35,670
that something's going to be.

103
00:04:36,230 --> 00:04:42,070
And there's examples of things maturing into sustained fields that you know,

104
00:04:42,150 --> 00:04:46,710
things like cognitive science, network science, demography.

105
00:04:47,270 --> 00:04:50,550
These aren't really disciplines in the sense that there's like there's a department of

106
00:04:50,790 --> 00:04:53,750
well, there's departments of cognitive science, but there's usually not departments of

107
00:04:53,750 --> 00:04:54,470
network stuff.

108
00:04:55,270 --> 00:04:59,350
For the most part, rather, it's a body of like techniques or ideas that different

109
00:04:59,350 --> 00:05:00,870
disciplines draw on.

110
00:05:01,360 --> 00:05:04,320
And he advocated for that being maybe a model for cultural evolution.

111
00:05:04,640 --> 00:05:07,760
You know, different disciplines might use cultural evolution as a field.

112
00:05:08,400 --> 00:05:12,400
Rather than thinking about it as, you know, sometimes people think I sort of like an

113
00:05:12,400 --> 00:05:15,760
empire, it's going to take over all the social sciences and bring evolution in, or

114
00:05:15,760 --> 00:05:16,400
something like that.

115
00:05:18,400 --> 00:05:22,400
And so that was a that was a really exciting plenary because he he gave historical examples

116
00:05:22,400 --> 00:05:25,920
where there were things that kind of fizzled out because they didn't really get the

117
00:05:25,920 --> 00:05:26,880
institutions right.

118
00:05:27,350 --> 00:05:31,270
Uh and that led to a lot of productive discussions about I mean, should we have a journal?

119
00:05:31,430 --> 00:05:37,350
Uh should we have like a summer school that you know, like if if we look at the Population

120
00:05:37,350 --> 00:05:43,270
Association of America and we see that as like CES in like forty, you know, seventy years,

121
00:05:43,430 --> 00:05:45,750
like what would be the sort of track that follows that?

122
00:05:45,910 --> 00:05:46,150
Yeah.

123
00:05:46,310 --> 00:05:51,060
Um so that was really exciting to to kind of s sort of zoom out and think about you know

124
00:05:51,140 --> 00:05:54,180
the growth of what we're all doing as an intellectual enterprise.

125
00:05:54,740 --> 00:05:57,460
You know, this is the basic question about how are people gonna get jobs.

126
00:05:57,700 --> 00:05:57,940
Yeah.

127
00:05:59,060 --> 00:06:02,580
If you're like, okay, you're gonna convince somebody to get into evolution, you know, you

128
00:06:02,580 --> 00:06:05,140
better be able to give them something that comes out of that, right?

129
00:06:05,380 --> 00:06:09,060
Which is are they gonna be able to get a job in an existing discipline where most of the

130
00:06:09,060 --> 00:06:10,980
people aren't evolutionarily oriented, right?

131
00:06:11,220 --> 00:06:11,460
Yes.

132
00:06:11,700 --> 00:06:12,420
And that's tough.

133
00:06:12,630 --> 00:06:14,710
Like I can definitely tell you that personally.

134
00:06:14,870 --> 00:06:15,190
Yeah.

135
00:06:16,630 --> 00:06:20,630
And it's not going to be the case that there's going to be an you know an evolutionarily

136
00:06:20,630 --> 00:06:23,190
oriented version of a discipline as a separate discipline.

137
00:06:23,430 --> 00:06:23,670
Right?

138
00:06:23,910 --> 00:06:24,230
Yeah.

139
00:06:24,870 --> 00:06:28,710
So I think we all face that actually, is kind of this this tension where it's like, well,

140
00:06:28,790 --> 00:06:32,470
we have an evolutionary orientation, we're trying to study specific problems, but we also

141
00:06:32,470 --> 00:06:36,360
have to be able to talk the talk in a in a disciplinary mode, right?

142
00:06:36,520 --> 00:06:36,840
Yeah.

143
00:06:37,400 --> 00:06:41,480
Uh and so there's like anthropology and then there's evolutionary anthropology, and there's

144
00:06:41,480 --> 00:06:43,320
psychology and there's evolutionary psychology, right?

145
00:06:43,880 --> 00:06:44,920
And so on and so forth.

146
00:06:45,080 --> 00:06:45,320
Yeah.

147
00:06:45,400 --> 00:06:49,640
Um so I really enjoyed that kind of thinking about that as a as a general topic.

148
00:06:49,720 --> 00:06:51,320
That was a big big part of the conference.

149
00:06:51,880 --> 00:06:52,040
Interesting.

150
00:06:52,200 --> 00:06:54,360
And and what's your take on the answers to those questions?

151
00:06:54,440 --> 00:06:56,440
Like, should cultural evolution have a journal?

152
00:06:56,680 --> 00:06:58,040
Should it have a summer school?

153
00:06:58,200 --> 00:07:03,970
Do you think it's better to view it as a set of techniques and methods rather than

154
00:07:04,210 --> 00:07:07,890
say a theoretical approach or a discipline.

155
00:07:08,290 --> 00:07:14,290
Well, uh Stephen Vasey had a had a nice take on it, which is like looking at fields, uh

156
00:07:14,370 --> 00:07:16,850
it's useful to think about what the field kind of owns.

157
00:07:17,010 --> 00:07:19,570
Like people look at that field as the authoritative place to go.

158
00:07:20,050 --> 00:07:21,810
So demography, I think it's pretty straightforward.

159
00:07:21,890 --> 00:07:27,330
It's like if you're thinking about population structure, age pyramids, um statistics like

160
00:07:27,490 --> 00:07:30,290
life expectancy, you know, the actual stuff.

161
00:07:30,600 --> 00:07:34,920
Like, I don't think anybody would say, oh, there's another field that is the experts on

162
00:07:34,920 --> 00:07:36,360
that besides demography, right?

163
00:07:36,440 --> 00:07:39,800
Clearly, they have they have a lot of uh uh authority on that.

164
00:07:39,880 --> 00:07:41,480
And social network stuff is the same thing.

165
00:07:41,560 --> 00:07:46,600
Like, you know, social network theory is the place to go to study network science.

166
00:07:46,840 --> 00:07:52,680
Um cultural evolution, I think it's it might be useful to focus on that

167
00:07:52,680 --> 00:07:52,920
question.

168
00:07:53,080 --> 00:07:56,760
Like, what are the things that are uniquely valuable about cultural evolution in terms of

169
00:07:56,760 --> 00:07:57,240
studying it?

170
00:07:57,320 --> 00:08:00,090
So, like transmission, like transmission chain experiments.

171
00:08:00,250 --> 00:08:05,610
I mean, that's really something that the field has uh just done a tremendous amount of work

172
00:08:05,610 --> 00:08:05,690
on.

173
00:08:05,930 --> 00:08:10,490
And uh I think that's a that's a huge part of uh like kicking things like that.

174
00:08:10,650 --> 00:08:11,050
Yep.

175
00:08:11,290 --> 00:08:16,330
Um and uh uh I think that's that's generally true for evolutionary approaches.

176
00:08:16,410 --> 00:08:20,090
Like there's a few, I mean evol evolution itself, like certain evolutionary concepts like

177
00:08:20,890 --> 00:08:23,290
differential reproduction or propagation.

178
00:08:23,450 --> 00:08:23,690
Yep.

179
00:08:24,920 --> 00:08:28,120
tracking frequencies through time of some phenotype.

180
00:08:28,280 --> 00:08:32,280
You know, this feels to me like this could be things where we say this is the authoritative

181
00:08:32,280 --> 00:08:36,920
body of knowledge that's used to study that, which is evolutionary approaches to humans.

182
00:08:38,360 --> 00:08:44,120
Is a cultural evolutionary scientist studying the cultural evolution society as

183
00:08:44,120 --> 00:08:46,440
a cultural evolutionary evolution?

184
00:08:47,430 --> 00:08:48,630
layers deep can I go in?

185
00:08:50,230 --> 00:08:51,270
People have thought of that joke before.

186
00:08:51,910 --> 00:08:56,950
Dave, maybe you should start a field called the evolutionary psychology of the evolutionary

187
00:08:56,950 --> 00:08:57,910
psychology of psychology.

188
00:08:58,470 --> 00:08:58,950
That's right.

189
00:08:59,510 --> 00:09:00,390
Say that again, sorry.

190
00:09:00,710 --> 00:09:03,750
The evolutionary psychology of the evolutionary psychology of psychology.

191
00:09:03,910 --> 00:09:05,350
Oh no, I've already been thinking about that.

192
00:09:06,150 --> 00:09:07,670
It's artifact psychology.

193
00:09:07,910 --> 00:09:08,870
Yeah, I know, that's true.

194
00:09:11,110 --> 00:09:12,390
No, it wasn't low hanging fruit.

195
00:09:12,470 --> 00:09:18,380
It was you know, it's kind of ironic because if we were talking about some

196
00:09:18,380 --> 00:09:24,140
physical science, like you know, the transition from you know some kind of chemical

197
00:09:24,140 --> 00:09:27,740
science, and you're saying, okay, we're incorporating like deep learning algorithms and

198
00:09:27,740 --> 00:09:28,940
developing molecules, right?

199
00:09:29,020 --> 00:09:29,100
Right.

200
00:09:29,340 --> 00:09:32,940
That kind of transition could be the subject of this kind of a discussion too.

201
00:09:33,180 --> 00:09:33,340
Right.

202
00:09:33,740 --> 00:09:38,540
But we're actually we're talking about the thing that we're actually using to study that,

203
00:09:38,780 --> 00:09:38,940
right?

204
00:09:39,020 --> 00:09:41,020
That recursiveness is really interesting, right?

205
00:09:41,180 --> 00:09:47,110
Because it's like the dynamics of social organizations in a kind of Darwinian way, right?

206
00:09:47,270 --> 00:09:48,310
Like it is very meta.

207
00:09:48,630 --> 00:09:53,350
So do you see it as like you can bring cultural evolution into political science to see how

208
00:09:53,430 --> 00:09:58,550
like political beliefs uh propagate or political parties form or how coalitions form, or

209
00:09:58,550 --> 00:10:01,990
you can bring it into linguistics to see how linguistic practices spread, or you could

210
00:10:01,990 --> 00:10:07,200
bring it into uh archaeology to see how certain artifacts or uh pottery styles will spread

211
00:10:07,200 --> 00:10:07,760
across a region.

212
00:10:08,000 --> 00:10:08,080
Yeah.

213
00:10:10,880 --> 00:10:11,120
Yeah.

214
00:10:11,280 --> 00:10:13,840
I mean I think there's something to be useful to be saying in every one of those.

215
00:10:15,120 --> 00:10:18,080
I think there's a parallel here with the modern synthesis actually.

216
00:10:18,560 --> 00:10:23,040
Because right now social science as we all know is this this fragmented set of silos that

217
00:10:23,120 --> 00:10:25,920
you know occasionally have interdisciplinary attempts, right?

218
00:10:26,110 --> 00:10:26,430
Yeah.

219
00:10:26,670 --> 00:10:31,790
Um but that was also pretty much true of biology, like 120 years ago, right?

220
00:10:31,950 --> 00:10:36,430
Uh that you had like geneticists and field biologists and botanists, and you know there

221
00:10:36,430 --> 00:10:41,070
wasn't a conceptual framework that connected everything together.

222
00:10:41,470 --> 00:10:47,310
And the modern synthesis itself was this kind of team effort where you had authorities in

223
00:10:47,310 --> 00:10:51,230
each of these disciplines basically come together, you know, people like Stebbins and

224
00:10:51,230 --> 00:10:52,350
Ronald Fisher.

225
00:10:52,480 --> 00:10:52,800
Yeah.

226
00:10:54,000 --> 00:10:58,720
And they kind of coalesced around a set of ideas that they then took back to their own

227
00:10:58,720 --> 00:11:00,800
disciplines and advocated for very strongly.

228
00:11:00,960 --> 00:11:02,640
And they were clearly successful.

229
00:11:02,800 --> 00:11:08,560
And think that that might be a good example of multiple disciplines getting synchronized in

230
00:11:08,560 --> 00:11:09,440
a way that they weren't before.

231
00:11:09,760 --> 00:11:11,360
Oh man, do we need that for the social science?

232
00:11:11,600 --> 00:11:11,840
Right.

233
00:11:11,920 --> 00:11:14,640
And it was also around evolutionary ideas, too, right?

234
00:11:14,800 --> 00:11:15,120
Yeah, I know.

235
00:11:15,280 --> 00:11:17,200
So I mean we already have a model here, right?

236
00:11:17,360 --> 00:11:18,640
I think there's a lot that could be done with that.

237
00:11:19,040 --> 00:11:20,160
What did they do that we're not doing?

238
00:11:20,320 --> 00:11:21,840
Like what can we how can we copy them?

239
00:11:22,470 --> 00:11:26,390
I mean, again, I'm not an expert on this, but you know, I wasn't a college PhD, so I did

240
00:11:26,390 --> 00:11:27,110
learn a little bit about this.

241
00:11:27,350 --> 00:11:31,110
I went to the school Stebbins was at, for example, and Joe Bjansky and people like that.

242
00:11:31,350 --> 00:11:35,350
My guess is that the reason it worked is because every one of these people were already

243
00:11:35,350 --> 00:11:36,550
authorities in their discipline.

244
00:11:37,190 --> 00:11:42,150
So it wasn't like a new wave of obnoxious upstarts.

245
00:11:42,470 --> 00:11:42,630
Yeah.

246
00:11:42,870 --> 00:11:43,110
Right?

247
00:11:43,750 --> 00:11:47,110
It was more that these are respectable people who all come together and like, yes, we're

248
00:11:47,110 --> 00:11:50,580
convinced that you know genetic models of selection are completely consistent with

249
00:11:50,580 --> 00:11:54,660
Darwinian sort of gradual transformations, which was a big sticking point, right?

250
00:11:54,820 --> 00:11:58,100
Because the Mendelians and the Darwinians were like, no, the models don't work together.

251
00:11:58,260 --> 00:11:59,780
And Fisher's like, yes, they do.

252
00:11:59,940 --> 00:12:00,260
Right?

253
00:12:01,060 --> 00:12:06,180
And so you had a well now I'm like, you know, on my soapbox, which is that uh you also had

254
00:12:06,180 --> 00:12:07,220
the modeling framework.

255
00:12:07,620 --> 00:12:10,340
You had a set of models that everybody else could sort of build around.

256
00:12:10,500 --> 00:12:13,730
And that was mostly the work of Ronald Fisher and his immediate colleagues.

257
00:12:15,490 --> 00:12:20,130
But then you had field biologists and you had uh lab biologists who were also plugged into

258
00:12:20,130 --> 00:12:20,290
this.

259
00:12:20,530 --> 00:12:25,570
And they were able to say why and how their specific approaches were consistent with the

260
00:12:25,570 --> 00:12:26,450
modeling framework.

261
00:12:26,610 --> 00:12:30,450
And then, you know, basically as part of this larger program of the monosynthesis.

262
00:12:30,930 --> 00:12:32,210
So it was it was a success.

263
00:12:32,290 --> 00:12:35,650
Like it was clearly a success in the sense that you know you can get like a biology

264
00:12:35,650 --> 00:12:40,560
textbook now that frames everything as this conceptual unity, even though there's parts

265
00:12:40,560 --> 00:12:43,600
that are still a little bit, you know, kind of disagreements.

266
00:12:44,320 --> 00:12:45,520
So that's the part of science.

267
00:12:45,760 --> 00:12:47,520
Social science looks nothing like that right now.

268
00:12:47,680 --> 00:12:48,560
No, it really doesn't.

269
00:12:48,800 --> 00:12:50,480
So that's what I think we should do.

270
00:12:50,640 --> 00:12:54,080
That's my perspective is we need some kind of a modern synthesis for social science.

271
00:12:54,880 --> 00:13:00,720
And like then we saw NCS and hear like one from kind of archaeologists working in or

272
00:13:00,750 --> 00:13:02,030
and geographers working in Morocco.

273
00:13:02,350 --> 00:13:05,390
I mean it's like stuff yeah stuff I don't really think about and it is true that like

274
00:13:05,470 --> 00:13:07,070
Morocco has like a lot to offer.

275
00:13:07,230 --> 00:13:11,790
It's like has a as going through like a renaissance of it's nice to have like other parts

276
00:13:11,790 --> 00:13:14,750
of the world kind of those gaps filled in as well.

277
00:13:15,070 --> 00:13:17,630
Um yeah, it's been good.

278
00:13:18,190 --> 00:13:18,590
Awesome.

279
00:13:19,150 --> 00:13:20,510
Do you guys have anything to say?

280
00:13:21,280 --> 00:13:22,800
Oh, my name is Brian Wood.

281
00:13:22,880 --> 00:13:25,440
I'm an anthropologist at UCLA.

282
00:13:25,600 --> 00:13:30,800
I happen to do my research in East Africa and Tanzania, and hopefully we can imagine a HBS

283
00:13:30,960 --> 00:13:34,640
taking place in in Dar es Salaam or Nairobi at some point.

284
00:13:35,200 --> 00:13:39,840
Well I'd just like to say that as the first HBES to take place on the continent of Africa,

285
00:13:39,920 --> 00:13:42,850
this is a very big part of our society's history.

286
00:13:43,090 --> 00:13:48,850
And I think just to be a part of this growth of institutions in Africa, I can't think of

287
00:13:48,850 --> 00:13:50,450
any better thing to be a part of.

288
00:13:50,610 --> 00:13:56,450
And hopefully the repercussions of this will echo in the decades ahead, just as HPES has

289
00:13:56,450 --> 00:14:02,050
had a big impact on so many people uh in the US and and in Europe, I think we're we're

290
00:14:02,050 --> 00:14:02,770
global now.

291
00:14:02,930 --> 00:14:05,570
And and I think that's a fantastic moment to be a part of.

292
00:14:06,050 --> 00:14:10,360
And we were talking earlier today and we we have to have you on to talk about fear of

293
00:14:10,360 --> 00:14:11,160
elephants.

294
00:14:11,880 --> 00:14:15,800
Uh you should all be afraid of elephants, and I can surely tell you why.

295
00:14:18,520 --> 00:14:18,920
Cool.

296
00:14:19,080 --> 00:14:19,640
Thank you guys.