[Turnbull Zemi] Presentation timing from last week

Mon Jan 30 13:41:32 JST 2023

Hi everybody,

I'm sorry about the mailing list.  I've been tired lately and not
keeping track of what I get from the mailing list -- it appears that
around Dec 20 I ran out of disk space for temporary files and that
stopped the list.  Then for some reason the list software didn't
start.  So we missed two mailings I think, which you probably finally
received about 1-1/2 hours ago after I restarted the list manager
software.

Here are the presentation timings from last week, with a few notes I
made.

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Wang (Q)
01 0:29.71 "advisor" != "advertiser"
02 0:52.59
03 0:03.56
04 0:27.64
05 1:06.08
06 1:02.29
07 0:55.41 download transcript and compare to slides
           do you need to duplicate?
08 1:16.81
09 1:23.11
10 0:16.34
11 0:04.89
12 0:02.56
TOTAL 8:01.05

Liu 
01 0:14.67
02 0:32.80
03 0:29.63
04 0:08.22
05 0:14.63
06 0:31.39
07 0:29.33
08 0:32.87
09 0:25.40
10 0:40.65 missed slide change sometime after this?
11 0:30.65
12 0:35.41
13 0:17.23
14 0:14.61
15 0:34.18
16 0:26.74
17 0:26.41
18 0:55.58
19 0:10.59
20 0:13.28
21 0:05.60
22 0:54.04
23 
24 0:22.87
25 0:30.47

Xu 
01 0:16.29
02 0:41.46
03 0:40.90
04 0:35.93
05 0:35.22
06 0:24.26
07 0:23.91
08 0:22.15
09 0:41.70
10 1:14.30 Slide #9 is effective.
           Model presentation smooth, understandable
11 0:06.37
12 1:05.99
13 1:18.24
14 1:20.61
15 1:16.43
16 0:38.27
17 0:40.38
18 0:27.59
19 0:02.01
20 0:06.70
21 0:00.44
TOTAL 12:59.30

Li 
01 0:22.99
02 0:48.77
03 0:04.39 slide change missed?
04 0:44.44
05 0:03.74 if you're not going to explain, omit the slide
06 0:57.50
07 0:44.07
08 0:17.70
09 0:29.51
10 0:29.10
11 1:53.61 #10 "Heckman" selection model (pronunciation)
12 0:28.73 #11? What is the arrow on reference to Lily for?
13 0:28.01 
14 0:42.24
15 1:28.13
16 0:55.07
17 0:56.45
18 0:42.02
19 0:01.93
TOTAL 12:38.50

Zhou 
01 0:26:06
02 0:13.84 pronunciation of "queue"
03 0:19.23
04 0:22.35
05 0:42.56 "two business models" not "two-sided models"
06 1:15.76
07 0:48.20
08 0:36.89 explain C()
09 0:09.31 too short - explain notation
10 0:54.66
11 0:41.84 use economic names, not notation names, where possible
12 0:21.47
13 1:15.98
14 1:21.14 Explain why multiple curves (r exogenous to platform restaurants)
15 1:32.77
16 0:49.10
17-21 0:08.15
22 0:02.41
TOTAL 12:22.05

Jin
01 0:25
02 0:26.77
03 0:15.63
04 0:42.26
05 0:44.24 "mitsu ga arimasu" -> "senkoukenkyuu no shurui ga mitsu..."
06 0:24.89
07 0:37.88
08 0:49.89
09 0:50.86
10 1:16.21 slide numbers disappear
11 0:20.00
12 0:20.92
13 0:08.66
14 1:07.68
15 0:53.23
16 0:01.78
17 0:49.32 slides numbers reappear
18 0:07.35
19 0:16.57
20 0:01.20
21 0:08.38
22 0:33.64
23 0:31.58
24 0:13.23
25 0:53.69
26 0:04.64
27 0:01.55
28 0:01.32
TOTAL 13:18.51

-------------- next part --------------
Done last week: Liu, Xu, Li, Zhou, Jin
(let ((i 0))
  (while (< i 25)
    (incf i)
    (insert (format "%02d 0:\n" i)))
  (insert "TOTAL: \n"))

Wang (T)
01 0:28.77
02 0:01.81+0:11.77
03 0:59.33
04 0:22.93 how do you identify salience bias?
05 0:51.89
06 1:13.26
07 0:56.55 what is being evaluated by the value function?
08 0:21.17
09 0:27.09
10 0:25.88
11 0:13.84
12 0:18.26
13 0:31.48
14 1:00.84
15 0:26.81
16 0:52.98
TOTAL: 11:05

Nishi
01 0:24.21
02 1:28.19
03 1:21.00
04 1:33.75
05 0:41.04
06 0:48.68
07 1:05.41
08 1:59.54
TOTAL: 9:29.44

Ma
01 0:21.17
02 1:37.75
03 0:35.46
04 0:12.85
05 1:29.33
06 1:04.32
07 0:03.48 didn't keep up
08 0:00.50 didn't keep up
09 1.06.73
10 0:21.34
11 0:35.67
12 0:24.09
13 1:16.26
14 1:51.56
15 0:26.71
16 0:20.93
17 0:01.42
18 0:
19 0:
20 0:
21 0:
22 0:
23 0:
24 0:
25 0:
TOTAL: 11:49.66
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Steve

-- 
Associate Professor              Division of Policy and Planning Science
http://turnbull.sk.tsukuba.ac.jp/     Faculty of Systems and Information
Email: turnbull at sk.tsukuba.ac.jp                   University of Tsukuba
Tel: 029-853-5175                 Tennodai 1-1-1, Tsukuba 305-8573 JAPAN