0:00:03she and which one is that i'm executive director of the t male speakers
0:00:09which is this sensitivity i do a randomized evaluations of social and economic programs might
0:00:16work speaker zero was working in your star
0:00:26this might hold my customer transparency work as i was able to have no for
0:00:34a few analysis five where we commission wants to how we as a the data
0:00:43this is a useful tool is particularly useful in it
0:00:48areas where you have a very large number come
0:00:51a variables conventional over us one should be used outcome
0:00:56and i don't for instance what makes it very well and where we have
0:01:02three hundred and also complexes and again wasn't
0:01:05you different ways of measuring us of phonological always one single we need one and
0:01:13so i think you had about how we a group these cases with anything
0:01:25in involved during
0:01:27doing this kind of four times in real life
0:01:30i'm just how complicated difficulties and a one of the projects that are probably have
0:01:37several different i'm trying to by in vowels
0:01:42exactly are you gonna analyses without knowing
0:01:46which also be also do which might be negative with which ones would be insignificant
0:01:51was we found out to be like a and
0:01:57there was that we wish we don't differently
0:02:00and i two
0:02:03my next a attempt to do this kind of transparency of analysis and we ended
0:02:10completely different why
0:02:13both
0:02:15what is that how we do the first and then doing that
0:02:18and that using that information the first to write another
0:02:22thus you know how we're gonna analyze the next presentation we split up into these
0:02:27different
0:02:29didn't approach is this is one of thing something to about this conference but i
0:02:33think about how to be transparent is really useful
0:02:42so i think this is show how the commission and wants to analyze english when
0:02:49you show that a and i should be something that simple we can make valuable
0:02:54discussions about
0:02:56i also think he's very we show a for all experiments are problems
0:03:04and
0:03:06yes
0:03:07i one is to address
0:03:10but
0:03:11how do is for all or just saying systems to make it easier is very
0:03:18important because
0:03:19because it's listen to work
0:03:23and we by the way instances to do it
0:03:26so sometimes ponders and system but also i and that's very ones and
0:03:35but i think that's also what we can do not and this is really my
0:03:39activities but i'd like to learn about one we happy we demonstrate how thinking about
0:03:43two
0:03:45to make the data collection process in all
0:03:50we then make use it probably select i think that kind of thing basically and
0:03:54we use make use
0:03:56is gonna be part of getting to a web anything
0:04:02you know what we got used as
0:04:10so one english is pretty sneaky this is that it's cross disciplinary across the social
0:04:17sciences and i don't really get into two people working in other areas social science
0:04:23except a physical science where there are more there are other for what we discuss
0:04:31i guess we helpful to understand the guidelines that the o where is working
0:04:37only just like to take you know
0:04:39so that we can join see china economics is doing now i mean like false
0:04:45peak frequency but i think these discussions very able to establish
0:04:49similar approaches
0:04:51a week or something
0:04:53we have similar objectives across the social sciences "'cause" we combine them in different ways
0:04:57we don't want to each other we
0:05:00so you know they do things right panel alway was actually there's not much difference
0:05:06between them so really getting used to sit together
0:05:09i shall a extent we can comment hotlines in common approaches i think it's really
0:05:15helpful i go forward all transparency through a consensus within the professions this is this
0:05:25is how first