Speech Transcript - Sharing Knowledge at The MCC

0:00:00	she wishes it is
0:00:01	actually to right
0:00:03	so
0:00:04	actually in three years there
0:00:07	as there are five percent for administration and finance and their c o r and
0:00:12	their march
0:00:17	you know responsibility i also have the data so i was very
0:00:24	happy and we have lots of fun getting c one
0:00:29	i checked their agency well
0:00:32	but it because the
0:00:33	the data we use evidence that
0:00:36	you
0:00:37	off to do or who correctly that were very fortunate to have body of data
0:00:43	but also i
0:00:45	the next and its own organisation data was structure
0:00:51	partly to start off
0:00:54	so
0:00:56	i'll just kind of go to the
0:01:00	or the friends he and making good but there are some questions such a if
0:01:07	you guys here
0:01:09	so use of evidence by the way this task
0:01:13	i used quite a bit in
0:01:15	so what for asking for one
0:01:19	for i don't be around the time we present it was very interesting evidence evaluation
0:01:25	so i'll make a hundred million dollars for a while but you request
0:01:33	i understand
0:01:34	but separated but getting out of the structure there especially this kind of textures
0:01:42	but i use this deck
0:01:44	to help with that a that sort of what source worldwide would actually looking for
0:01:51	what is that
0:01:52	the use of
0:01:54	average very fascinated by
0:01:56	i would still
0:01:59	really
0:02:01	i it starts off with respect programming for country selection to that's the decisions to
0:02:06	a one or two evaluation and the evaluation two quantities in more detail
0:02:15	but it is really is well
0:02:18	stuff
0:02:20	what
0:02:23	and c
0:02:24	so
0:02:25	also with the
0:02:28	each country to be a little so that we're looking here on the with the
0:02:33	big rate countries will incorporate the one that will call a and they have to
0:02:40	compete against each other a thing is twenty six criteria
0:02:44	these criteria indicators for actually therefore it is not in scenes
0:02:50	i
0:02:51	a lot of it is more like a greater
0:02:55	a transparency international us to types of data is that they have to ask
0:03:00	a one indicators a but there are two for rules
0:03:05	each of the countries that the past i think that the score above the median
0:03:08	power control corruption and the control corruption indicators or actually very interesting a set of
0:03:17	data for corruption and then they also must press the virtual or local rise for
0:03:25	solidity so they have elected
0:03:30	so there's take a look at
0:03:31	a country much i just a little bit this morning by the way with f
0:03:36	one fifty are the indicators
0:03:41	next we use the mc work but in removing selecting countries using the score
0:03:49	scorecard also channel you can see in three categories its economic freedom investing in people
0:03:56	who justly
0:03:58	also economic real it really is all about how we manage their economy
0:04:05	and how easy is it is this
0:04:07	there so we use a lot of the right
0:04:10	so do this is relevant where quality three policy all that
0:04:17	but
0:04:19	what's interesting here is to have a real focus on gender
0:04:24	you can see there's there are trained and i met i see on a card
0:04:32	ran rights you know course hounds in use it to start a business can you
0:04:36	see
0:04:38	can
0:04:40	and then investigated people probably there are
0:04:46	education primary education expenditures
0:04:49	right
0:04:49	also a girls verification mission
0:04:54	rates
0:04:54	so those are your at least one indicators were
0:04:59	just be adjusted about
0:05:02	we years ago
0:05:05	quite a lot of
0:05:07	indicating syllable source side of all indices
0:05:11	request will just against the political rights and it's a rings
0:05:15	i have
0:05:16	okay
0:05:18	at least one
0:05:20	and then they have to pass you can see how
0:05:24	three buckets
0:05:26	control corruption democratic rights and it has to be green in all three
0:05:32	i am able to for instance
0:05:36	right so
0:05:37	a
0:05:39	i
0:05:41	our current research has to
0:05:45	i
0:05:46	so i is green a and we're
0:05:50	we are going into the second column
0:05:55	a five hundred million dollars focus on
0:06:00	electricity how
0:06:02	okay power africa
0:06:03	the power of the country
0:06:06	strikingly
0:06:07	yes selections i so every year we take
0:06:13	a greater you can see unesco don't we don't know
0:06:19	three vowels
0:06:21	really nice so it is interesting in that
0:06:25	this problem of data
0:06:27	was the first set of data that i actually got open data or instance i
0:06:35	go over there is data is now available machine around with it
0:06:44	what brings with it
0:06:46	a police or report data so some of these data
0:06:49	what is actually so we have to pay
0:06:52	okay so there is no variation of are not so we can retire overall there's
0:06:57	yes
0:07:01	we or something but it's a pretty good
0:07:07	several
0:07:09	very rich set of data that you can download a we have about all three
0:07:15	years with this thing that l
0:07:19	and
0:07:20	i talked to some
0:07:23	one residual like a
0:07:28	a courthouse on your right that there are variations looking into classes were held in
0:07:35	american companies
0:07:36	invested in africa not get rescored hearts zero approval for them to say hey you
0:07:44	know but this was channel is only using this now the
0:07:53	means of units
0:07:55	that is
0:07:56	of course
0:07:57	you know each investment has it all
0:08:00	challenges for
0:08:03	a due diligence
0:08:05	so that's selection and wore a race
0:08:09	the what makes a decision based on that
0:08:11	score or by consider your you have to actually has this work or your
0:08:19	in the middle of
0:08:22	you know
0:08:23	providing for example while we're actually developing a for example we have
0:08:31	zero at all
0:08:32	still there is
0:08:35	we did what challenge for both right now but
0:08:39	a serial
0:08:41	where all the way it has the second here the words is
0:08:47	they don't
0:08:48	well we may not want to go best easily lost
0:08:54	opening a has this work or moreover over until the last year
0:09:00	begin
0:09:02	and it's the control corruption indicate that
0:09:06	according to the speaker is very interesting in that a uses their the beginners therefore
0:09:13	indicated that it's a lot of stress
0:09:16	going to sort of the
0:09:20	perception
0:09:21	did you pay bright or contestants how thinking it shows you have to be
0:09:31	to get classes
0:09:34	so those
0:09:35	a perception kind of questions are very you know if there's of states
0:09:42	in the country
0:09:44	that could sway people's perception so
0:09:47	these
0:09:50	to one indicated very challenging the amount is not
0:09:54	their robust
0:09:57	in the united states
0:10:00	it's united states have a i mean they're herself
0:10:05	but you would be that are covered i
0:10:10	i think there is really less challenges i
0:10:13	as well so anyway so once what makes a decision
0:10:17	there were gonna
0:10:19	go and develop a compact we with the country way to go through what we
0:10:26	call use investment decisions
0:10:28	of course is constraints analysis it's really
0:10:31	i think it's will big condom is
0:10:35	that this is true where i five within the country one of the
0:10:43	major constraint but only constraints that go
0:10:48	is it is it the error
0:10:50	these
0:10:52	but we used a constraint analysis or on a website so i would urge you
0:10:56	guys to go into work is
0:10:59	but
0:11:00	basically holding in or is it
0:11:03	is it will is infrastructure rules that the you know why constraint in six is
0:11:09	the power something that is
0:11:13	well in sometimes it is all of the about
0:11:15	that's
0:11:17	is it human development might be george of we also they
0:11:22	i think work with the very
0:11:24	of the regional banks but also will think in hoping us
0:11:29	and this has a lot conversations with those of society
0:11:34	all right
0:11:36	a kind of like you just the purest but increases strategy to what we option
0:11:42	strategies i hope that the whole process
0:11:47	well
0:11:48	it is there was a canonical
0:11:50	one of the binding constraints to a canonical so it also for example the biting
0:11:57	constraint what's motes
0:11:59	so were
0:12:00	our second call heifetz focus on rules
0:12:05	in the structure
0:12:06	a lot of it is infrastructure okay it tractable commodities is also a situation but
0:12:14	so it was also
0:12:15	is described in a crime that the big issue
0:12:20	it's not a
0:12:23	in r o in indices whole competency two point so we
0:12:29	right
0:12:31	the others
0:12:33	i think your
0:12:34	but so we do the straight analysis
0:12:36	there is a was unchanged analysis time do what we call program logic
0:12:44	once we determine what the sectors or
0:12:46	and then what with the country's one where you can with this sectors where
0:12:52	we put of o
0:12:54	what makes sense i that's working with the country and civil society there
0:12:59	once
0:12:59	that's done then
0:13:01	the low is what we call this program logic at the same as a as
0:13:06	well right you know that
0:13:09	what are used laughing and now it's a one
0:13:14	e
0:13:14	the results are exactly the same thing right
0:13:17	and if you can
0:13:19	see most
0:13:22	it is harder for you get to you know what's outputs are very easy you
0:13:28	need to me it immediately outcomes are easy
0:13:32	getting into me you
0:13:34	outcomes of a little bit harder
0:13:36	so we look at this design about this particular example was about the performers training
0:13:43	you know the right project
0:13:47	in me you
0:13:48	outcomes was is that option of improve practise this one and l o and cultures
0:13:53	a terms of a cultivated using i am cross
0:13:59	but most
0:14:00	don't or stop there
0:14:01	we tried you go beyond that increasing crowd you increasing for me
0:14:08	and then you on that we actually go to
0:14:11	household income this is where the impact evaluation
0:14:16	comes in this household income probably option so
0:14:20	this is
0:14:22	that's the pork
0:14:23	i are far right actually should is it is due to what you in so
0:14:32	we try to a
0:14:34	with
0:14:35	what are the
0:14:35	hi is the number of the impact evaluation of people you know
0:14:43	actually
0:14:44	when a little bit to fourteen what impact evaluating everything
0:14:49	test
0:14:49	it also that's okay
0:14:52	so can only a cost benefit analysis
0:14:56	for each proposed project
0:15:00	estimating income
0:15:03	the council income
0:15:05	and then
0:15:06	making sure we have some
0:15:09	it's ten percent is the error rate of economic we turn
0:15:14	a more goal to do without that
0:15:21	okay now turn so this particular example sinking their a financial sector before
0:15:32	monica modeling
0:15:37	so this one and i mean in a really trying to ten twenty eight so
0:15:43	in this work with or we can only
0:15:47	sometimes
0:15:48	a in is the vice president
0:15:51	the on the in your the investment management committee so as to some of these
0:16:00	sometimes projects as
0:16:04	like any other there might be useful be useful thing we have some challenges of
0:16:10	on the in so we are always looking at exact not very true and s
0:16:17	changes to the scroll
0:16:20	of course of the project
0:16:22	one way to a the compact ones that is this i will go to a
0:16:27	compact
0:16:28	you got to the compact as well as about
0:16:33	twenty seven months in the coffee
0:16:37	and then you five year statutorily in as well
0:16:42	the compact itself it can only last by so once we store once we signed
0:16:48	a what we call the intrinsic force
0:16:51	entry into force but
0:16:54	i one
0:16:56	it's five years
0:16:57	if you don't position five years
0:16:59	we take our money
0:17:03	we don't likes that we can i say
0:17:05	and it's been several experiences we have money table
0:17:15	mozambique
0:17:18	you know specifically
0:17:22	some of the boat image so
0:17:24	i
0:17:26	it's a it's a pretty there is a two
0:17:29	like i well
0:17:32	i the you know what would happen issue
0:17:37	the one was uncertainty all the equipment once
0:17:43	i thank dr
0:17:45	the conveyor belt and
0:17:47	to the i t one
0:17:50	we have it should be more ball
0:17:53	the building
0:17:56	it's a little to the catch one to some situations where are the problems
0:18:01	organisation where you sure infrastructure to actually projects in a given i do if you
0:18:09	don't do not work six
0:18:11	so that's why the twenty seven months of the three
0:18:15	create a high is the mean what we
0:18:18	mean for that
0:18:19	and that's there is some question about
0:18:24	whether
0:18:25	this is the rime
0:18:26	since all and also is actually a good experience in some countries it may not
0:18:33	be me you for the t
0:18:37	icily and putting exactly the together this whole
0:18:43	a challenge cat
0:18:46	n
0:18:47	quite a higher c you think of word you're so it is actually a starter
0:18:52	or station their role in which they can count
0:18:57	and that the it it's pretty a insulated
0:19:01	implementing agency
0:19:04	the four
0:19:05	and we have some c in
0:19:09	onboard hardly
0:19:12	select years ago seattle
0:19:17	somewhat i mean it it's
0:19:19	a lot of it is it can be ownership
0:19:22	you know that it can choose but what c
0:19:27	the more have some six years
0:19:30	so i
0:19:31	to see but i really high
0:19:36	but also
0:19:38	is not so
0:19:40	but here we can also had to what is that all the is this variation
0:19:46	and cancer are selected it is not part of the
0:19:52	countries
0:19:55	it wasn't system or anything
0:19:59	but it
0:20:00	i
0:20:01	there's
0:20:02	what questions about the show
0:20:06	it is interesting to talk case we finished or
0:20:10	gonna one compact
0:20:13	i three
0:20:13	couple years ago
0:20:16	and the five o'clock was ready now be more finishing the roots and i remember
0:20:22	was my around my first
0:20:25	wonder so what i started at n c
0:20:28	the cu all set
0:20:29	okay although you clearly show
0:20:32	i
0:20:35	and by golly dekai the in the in the role of a right to somewhere
0:20:42	used to take four hours now i think what about minutes some like that
0:20:47	and i and what are you when you the ribbon cutting came home moniker planning
0:20:53	with the guinea
0:20:56	and he was talking about how great it was easy to but people were out
0:21:03	there now
0:21:05	and they finished is so
0:21:08	i
0:21:08	the five o'clock is
0:21:10	a low
0:21:13	more so
0:21:16	maybe stretching
0:21:18	education
0:21:20	you education
0:21:23	well sometimes what are the intermediate outcomes the required word get two thousand two hundred
0:21:30	this is just the all so it seems to be that there are a set
0:21:34	of intermediate come
0:21:37	writing of the ultimate
0:21:39	that are more data capacity building and those kinds of things that should be articulated
0:21:45	you know early on as if you're gonna get to the ultimate goal you have
0:21:49	to worry about you are here in achieving these goals in those to be really
0:21:55	we articulate "'cause" this is kind of this like the model from came here from
0:21:59	here because you don't have the rules to get the also so those so i
0:22:04	think that you're evaluating each year utterances real key part of the system and then
0:22:10	what goes in there
0:22:11	a given context we can be critical i think
0:22:16	as we know what you interval actually able to start the car
0:22:23	these indicators change over time and it is not a set take the here
0:22:33	is sometimes
0:22:34	don't have those
0:22:35	how many kilometres of role bill or how many i teachers training right so the
0:22:45	intermediate what are those indicators that i two m h m what michael this absolutely
0:22:53	so
0:22:55	one second here is so that we think it'd i for their remote control
0:23:02	did you are ways of taking what you are experiencing finding it also or
0:23:08	i think that's where a lot of our struggle we talk about how we do
0:23:13	that i project or
0:23:15	you may not successful what between our
0:23:19	what can to some woodworking or better because of what right and it's more than
0:23:25	canadians helping salvadorian is not you know us we also yes so we actually spent
0:23:33	a lot of money one time
0:23:36	doing what we call apologist we don't here we go there is we bring them
0:23:41	altogether the teams
0:23:43	recall
0:23:44	color channel or silences we you have a college we have
0:23:50	while reevaluation college infrastructure college system
0:23:55	explicitly sell or what
0:24:00	from a low parallel
0:24:03	and just
0:24:06	crashed colleges
0:24:08	one thing here we do you know because it's not just
0:24:13	however the role but it's all the legal framework around it all the procurement
0:24:19	a process these around it
0:24:21	all the financial
0:24:23	you know
0:24:24	i
0:24:26	requirements around it so this
0:24:28	it's a whole systems approach right
0:24:30	it's not just
0:24:31	but we probably don't well as
0:24:35	see for i think
0:24:38	as well
0:24:39	right
0:24:40	question so something to
0:24:43	the sudanese experience
0:24:46	and the end of the five years for different points
0:24:50	i assume there are
0:24:52	reports this method a description the process are regarded where we are in our next
0:24:59	and so far questions what those reports selves i two other
0:25:07	project so the convex i use because what the world a file was that all
0:25:12	these reports just sit there and initial right and it is that your experiences
0:25:20	you knowledge management is big challenge also
0:25:25	i mean you guys
0:25:26	do the sectors right presumably the sectors or are supposedly
0:25:32	you know
0:25:33	sure you know which allows smells post i
0:25:40	we try to as well as actors but it's also we was very interesting
0:25:48	that
0:25:49	organisation that they started to do implementation
0:25:53	it can go in the first time i don
0:25:56	the use that
0:25:58	system the design that wow this is a good where you can we
0:26:02	infrastructure
0:26:04	we also sell the side key that new but one
0:26:09	building durable
0:26:12	you the other people's money and were successful
0:26:18	annotation you guys and that's right speech recognition process so if you is running time
0:26:28	you are
0:26:31	so once i is a
0:26:34	this paper and cc that i
0:26:38	i will have one next year using it as the
0:26:42	and you procurement into fiction
0:26:46	so we see that role success and that could be share this
0:26:51	with
0:26:52	other
0:26:54	of the countries that are you know
0:26:56	of doors the same thing
0:26:59	so on
0:27:01	it all their say just dissolve
0:27:03	it so what secret sauce a that the el salvador have a lower
0:27:12	anyway so you are hours the country's create these your
0:27:17	we know
0:27:18	you don't do these ourselves so a lot of it is kind
0:27:22	process used
0:27:24	we have more statistics is already way i
0:27:29	but anyway so
0:27:33	there is also beneficiary analysis
0:27:36	we estimate you know specific income across
0:27:42	regions the cross gender
0:27:43	it's very interesting we do these constraints that i thought i
0:27:47	two other process easier to analysis that you while the constraints analysis
0:27:53	what is
0:27:55	a gender
0:27:57	gender analysis what
0:28:00	or their particular
0:28:03	issues with that country that l
0:28:07	it is down to a base
0:28:10	as it is a very much should focus on genders
0:28:14	maybe other
0:28:17	analysis that do is privacy their what are the six
0:28:25	because we're as not a good enough that politics but what are these projects that
0:28:32	to secure investments
0:28:37	so these are the beneficiary
0:28:42	analysis
0:28:47	very conscious
0:28:49	i'm wondering silences
0:28:53	and they're so
0:28:55	what is not a condom is cost a that no
0:28:59	i understand i
0:29:05	but
0:29:06	are there is a large economic t that looks at
0:29:11	looks at all of these things their hopes that the countries
0:29:16	would
0:29:18	how much work are how
0:29:21	this
0:29:22	i these projects
0:29:24	specific projects this one is
0:29:26	education project is you can see
0:29:30	i guess but many researchers depending on how big the
0:29:35	small hundred employee three under how many three i was
0:29:41	right that's by
0:29:43	there was about twenty one
0:29:48	how were used every structured around thirteen or is expressed in this country out there
0:29:53	are some similarities are it's supposed to be you know when it is easy to
0:29:58	create
0:30:00	supposedly you
0:30:02	a lot of money to these countries
0:30:05	go and
0:30:07	where just gonna an oversight
0:30:09	what has worked out that way i
0:30:12	it doesn't quite work you have to be it i will all the way you
0:30:19	use of something about some confidence all process
0:30:26	you
0:30:28	in we have the same problem educations make the you know like we should be
0:30:31	focusing on developing only once q sorry responsibility for all
0:30:38	restructuring to do is we make great detail information demonstrate skills as opposed to being
0:30:45	self regulate itself
0:30:48	in this way is a direct analogy so if one of the ultimate in s
0:30:53	that let's try to
0:30:55	tolerance was to what extent you a these modern systems management
0:31:02	as sort of prominent part of your institutional structure you know that's one of the
0:31:08	alternate index and then so now i you the assessment
0:31:13	driving
0:31:15	people's behaviour in a way that when you leave you must something and it is
0:31:19	gonna continue to serve the interests it's interesting here is it
0:31:24	it's a very challenging dynamic about the country conclude that
0:31:31	we try to
0:31:33	as much as possible
0:31:35	needed to the country to make decisions about what is that what the twenty two
0:31:40	tested for example georgia we just went that a couple years
0:31:45	george it can be it is it
0:31:47	we more at this is the education what
0:31:51	we "'cause" we decided in the constraints analysis that
0:31:55	you don't was biting constraint will
0:32:00	so we knew the education okay
0:32:02	so that
0:32:03	this is all be one of the election
0:32:06	the then parameters are set
0:32:09	we want to train state
0:32:12	university
0:32:13	it is
0:32:15	georgia those of you
0:32:18	what we did analysis
0:32:20	there were very many people who write with high school where the university square so
0:32:29	well what i mean the negotiations on
0:32:32	one two percent
0:32:35	wall
0:32:37	and then election that all that stuff that's
0:32:41	carried out
0:32:42	the one
0:32:44	while into their they do very true but not a whole
0:32:54	right inverse but that would be working with their first
0:33:01	vocational
0:33:03	i mean i is the same there too
0:33:07	though it a lot of it is that
0:33:08	okay work
0:33:10	to make sure we use
0:33:12	going in that direction is right or projects
0:33:18	is one on by the by
0:33:23	it has a better sense
0:33:26	six c and a wish
0:33:29	by
0:33:33	even though the money it's by we write
0:33:36	i think that
0:33:39	right
0:33:41	the
0:33:42	it is
0:33:44	it actually striving incentive
0:33:47	behaviour
0:33:49	the only all
0:33:50	for example
0:33:52	the week here
0:33:54	you're another job of the people are right now
0:33:59	those two countries to could be
0:34:03	well
0:34:04	the actually created partners result is
0:34:06	at in c a
0:34:08	you know without i might not have time
0:34:11	they decide what do also recordings
0:34:15	which ones they fail and in the focus or in teamwork with the forty
0:34:20	eight indicators in figure out how big
0:34:24	and library say they
0:34:28	me the criteria word
0:34:32	so
0:34:33	without from i
0:34:36	leading to a about the really very that the
0:34:40	the study
0:34:43	are you guys to get really very i think it is very developing countries you
0:34:52	show us to sort of questions about which
0:34:56	scores of indicators with most of which you
0:35:00	in terms of
0:35:01	thank you
0:35:02	how work in your
0:35:06	the one sets
0:35:07	i cc came l what we have one
0:35:11	you know along with i think that do business
0:35:15	do this is we work
0:35:17	but i it would be real interesting
0:35:21	thank you guys that it anyway so that's
0:35:26	beneficiary analysis so
0:35:28	to talk a little bit about the results
0:35:32	continual
0:35:34	when the what we call and see what i just described as the mfcc because
0:35:41	there is a large part of money in the book
0:35:45	and of it is really
0:35:47	change behaviour to be beyond with but anyway so we do a lot of these
0:35:54	a policy performance in word for us to a in the second cup so
0:36:01	countries
0:36:02	there are eligible
0:36:05	obviously are
0:36:10	or rising legislation for cc actually access to look at countries with it
0:36:20	and
0:36:21	many of the what gradually
0:36:23	it will make
0:36:25	but also
0:36:26	we'll go word
0:36:28	where they have taken the me
0:36:30	the twenty any control corruption in the democratic
0:36:37	to keep country
0:36:39	strictly
0:36:41	you know i wish i
0:36:45	less the over the meeting the criteria so
0:36:51	or
0:36:53	what little
0:36:55	is still there but certainly we're now going back to the those countries that has
0:37:01	the first time
0:37:03	it is now becoming second car
0:37:06	i don't know
0:37:09	what do that i will colors elsewhere for their help but certainly will now into
0:37:16	the second way
0:37:18	but in
0:37:18	terms but when they're
0:37:21	how you eligible for the second cup you have a higher verbal in a higher
0:37:26	verbal is policy performance
0:37:29	where there had me
0:37:33	we did you know whatever sector they period
0:37:36	syllables set there
0:37:38	no i have to set up well able to be it's fine yet to policy
0:37:43	for around four wheel center so we actually a lot of analysis with the
0:37:50	how well i don't policy
0:37:53	a all seen in institutional reforms
0:37:57	that a
0:37:59	or part of that one c
0:38:01	once they have to determine the energy sector for example
0:38:06	the energy seconds
0:38:07	is
0:38:09	the biggest by the constraint well to economical
0:38:15	private sector has to be are willing to come in it seems that
0:38:22	then and are represented seventy five dollars with projects right
0:38:29	right
0:38:29	your whole institutional
0:38:32	is this mess
0:38:34	in total
0:38:36	it's no
0:38:38	it it's not a seeker i know to anybody in auditory you knows that this
0:38:45	is a well
0:38:48	all that actually
0:38:51	for that
0:38:52	so we
0:38:53	me when you
0:38:56	the negotiations three contract negotiations
0:39:01	was very difficult where they have to make serious commitments
0:39:06	well what we call a series of condition press for instance
0:39:13	they have to be widely be okay
0:39:15	even before inside a car
0:39:19	and then you have to me
0:39:20	where is that you can take a look at some of these conditions present it's
0:39:26	in are in a website compact way so
0:39:32	one of the conditions we gotta
0:39:34	there's to a whole
0:39:38	itself utilities are separated to sell
0:39:43	in gonna
0:39:46	that the three
0:39:47	well what that have to
0:39:49	okay to a prize at the session
0:39:53	in order to be able to actually side
0:39:57	so
0:39:58	that a long time lexical while and i do for the ones that there
0:40:07	can do this kind of questions
0:40:09	also
0:40:11	bad
0:40:14	the role in this is
0:40:16	a critical for us and of course then we do but we monitor the inputs
0:40:21	the outputs the outcomes alternate the
0:40:25	in packs
0:40:27	information is collected during right
0:40:31	right
0:40:32	crap internally the next person doing a similar front-end i don't gonna at some other
0:40:38	country can look back and say how did you get private sector style and their
0:40:44	well
0:40:45	what did you do and twenty seven months to eight
0:40:48	is there much human mostly conversation there is a relational so
0:40:55	in order to do these constraints analysis
0:41:00	hacker data
0:41:02	and
0:41:02	can focus on data
0:41:05	there is a lot of
0:41:06	well i data in countries
0:41:10	cool dark
0:41:12	countries right so like your we went
0:41:17	were trying to understand what is what is not data but what i'm and one
0:41:22	maybe
0:41:23	instances we had to go and
0:41:26	the
0:41:28	so
0:41:30	part of the challenge is that
0:41:33	many of these data is locked in what i call
0:41:35	s try to jail
0:41:39	it's all sharing that it's been
0:41:41	really an upper part to try get
0:41:44	all of these data into some
0:41:47	sure
0:41:48	capacity people
0:41:54	the all the constraints analysis those are all of the data
0:41:58	but it is all of it will call types in fact that whatever is that
0:42:04	i work with the in be at work with idea
0:42:09	is to t
0:42:10	the look at some of these constraints have a high constraints houses
0:42:14	because it would be helpful to every
0:42:18	once you understand you know within each of the sectors
0:42:23	between when you talk about you know
0:42:27	so this will structure quantity but is also increasing
0:42:32	even more unstructured but a lot is even these emerging social media there is you
0:42:41	know annual reports from business the company words in this way more a given quantity
0:42:47	and how are you well
0:42:50	well so that for you
0:42:53	i think is that since i reply and joining the company i same
0:42:59	a score media technology mostly the focus on home
0:43:07	exactly at the moment but i'm working on a project proposal we africa
0:43:16	they're very interesting
0:43:18	i
0:43:20	you know he
0:43:22	the in
0:43:24	putting a lot of these
0:43:26	statistical data volumes
0:43:28	and a lot can look at your
0:43:32	lee
0:43:33	six months to your
0:43:36	well that's
0:43:37	and i
0:43:39	so they really interested in looking at i using clean data
0:43:46	technology we need
0:43:49	although but it is now
0:43:51	because of the they have to control corruption it's been to your cycle it was
0:43:58	the accent so
0:44:01	and
0:44:01	ninety five percent
0:44:03	the exit it really is
0:44:07	okay
0:44:09	so what we plan to you was
0:44:14	technology
0:44:16	access to the
0:44:22	challenge in this country is can you just can't remote company are sort of on
0:44:29	the task as it almost the whole huh
0:44:33	right
0:44:34	and you know what would be answer
0:44:37	i one i don't know what who you know
0:44:42	it should be comfortable first
0:44:46	asking
0:44:48	questions that but that
0:44:51	where
0:44:53	try all kinds of
0:44:56	but with all due to excess
0:44:59	so just this is
0:45:02	also just looking to the future calling my meteorologist technology
0:45:11	using
0:45:14	it's not be too long for every
0:45:16	vol
0:45:17	the weather station and so now
0:45:21	the more points of data meeting the better you can predict what and to some
0:45:27	extent as the abstract well as we
0:45:33	so it may be that you
0:45:35	people take pictures marketplaces
0:45:39	other kinds of in the right things the and you have access to it is
0:45:44	no if you know i that's so it weighting going to be where you are
0:45:52	today i've used no matter
0:45:56	absolutely
0:45:58	particularly for that matter what with all just okay data by in africa and the
0:46:05	challenges of having too many people trying to collect a data out of three however
0:46:11	stepping each other's terrorists a few people are
0:46:14	and the conservatives at the same view household utterance training although all sorts right so
0:46:19	you ghetto perception of what the six people and the town have any because the
0:46:24	other thirty are doing it is only the six you are into the cycle of
0:46:28	answering
0:46:30	so it is interesting
0:46:32	so this issue
0:46:34	a little bit of the two
0:46:37	in advertising here where we started looking at inputs outputs are columns
0:46:45	in mean
0:46:47	so the by five years in the process in terms of really need collect a
0:46:52	lot
0:46:53	indicators from r c a s
0:46:56	what's the two or
0:46:59	so it
0:47:00	okay
0:47:01	how many colours a box whatever it is us to do not show a little
0:47:09	bit later
0:47:12	you're all be ninety nine five percent at all works it
0:47:18	scatter
0:47:21	but when it comes to all impacts
0:47:26	i are actually are probably not i
0:47:30	you just like really i s well can i ask you
0:47:34	to me for our might expect cries
0:47:38	lessons more
0:47:40	the be
0:47:41	i because we don't have those lessons learned merge and hasn't feedback
0:47:47	that is system
0:47:48	right
0:47:50	and across timing and across for series of conversations
0:47:57	how can someone sitting and i db to their structural salvador
0:48:02	the remote you learn about what works doesn't work and also with or in other
0:48:06	places how can we
0:48:09	spanish always knowledge together to make everyone
0:48:12	more successful because they have at this is not easy so
0:48:19	largest
0:48:22	alright is that it results on it has tried product drive somewhere that is that
0:48:27	exist in a way that others can digest it easily figure out what is it
0:48:32	my
0:48:34	i think everyone looking for
0:48:38	or they do not because there's so much information this article we actually people actually
0:48:44	withdraw that it i'm gonna just go my or what i know not even have
0:48:50	all because it's just
0:48:51	stress
0:48:53	our government really wants a sensor
0:48:57	i haven't takes place in it is not know how many times can i try
0:49:01	to sell out of detroit but you know that is
0:49:07	on the monitor
0:49:10	like create a sense
0:49:13	at least i we talk
0:49:16	euros when you start out measuring of certain things we have successfully higher so you
0:49:25	know
0:49:26	input values
0:49:28	and you get
0:49:30	further into the
0:49:32	right limitation different things
0:49:34	but i each for me
0:49:37	we have one colour
0:49:42	it's and wondering where
0:49:44	so
0:49:46	but maybe
0:49:48	part of the compact the make it is a living document so the one actually
0:49:53	changes
0:49:57	but
0:49:57	there's meeting these
0:49:59	performance indicators the tracking
0:50:02	every four
0:50:08	see
0:50:09	no
0:50:12	change the time
0:50:17	wow
0:50:18	it's not my computer so
0:50:24	okay
0:50:37	also
0:50:38	this is an example of people tracking table
0:50:48	you know by were so there's a total twenty workers
0:50:51	it is not
0:50:56	we see
0:50:57	i irrigated agriculture that's the project
0:51:01	irrigation structure
0:51:04	our community where there's outcome out what
0:51:07	the project while still indicators
0:51:11	you know how many factors you cultivated
0:51:16	with the target is
0:51:20	and as well so when it becomes clear something
0:51:25	importantly change just as you can buy a signal elements continue to monitor set
0:51:33	that was your to your that you're not met if you're not getting ready for
0:51:40	their you process that way so there's
0:51:44	for example in gotta get that this is what i know
0:51:50	it was the egg
0:51:53	facility
0:51:54	quite a facility
0:51:55	and it was not working i met tamarais is more there
0:52:03	the product you know the money out the door
0:52:06	and
0:52:08	okay
0:52:08	i think it's to use into a set
0:52:12	we work with the mc a since it is not working that's card
0:52:17	and
0:52:19	the money
0:52:19	because the project
0:52:22	the money was focus on that project yes but the one six one at all
0:52:29	i walk as i was the seattle works i and a and a six nine
0:52:35	million dollars like wow
0:52:38	and set the
0:52:40	this is that okay
0:52:43	the project no longer it does work anymore
0:52:46	we shut down
0:52:48	the and we have started out
0:52:50	it was them like that
0:52:52	i
0:52:53	a defined because they were
0:52:56	one for one i
0:52:59	so i think one and l o i
0:53:04	pt
0:53:08	so this is she will not only do we look at all the indicators but
0:53:13	maybe due to allow the key
0:53:16	a performance indicators
0:53:19	and these are all available by the way a website
0:53:23	that's the company
0:53:27	well as a country
0:53:32	so will be the middle targets
0:53:37	i is a hundred seventy seven million
0:53:46	to this idea of the is there i pi were people who is the number
0:53:53	of this
0:53:55	that's one thing that i one two
0:53:59	annotation
0:54:01	it's a landing
0:54:02	database essentially hooks that allow you to
0:54:07	integrate to different applications so i can take information it's in this application sucking my
0:54:15	then i can manipulated whatever i wanted so i three really uttered in do what
0:54:20	they so that stress you know last thirty one database here
0:54:25	nine a splashy actually not that i will see that all your basically we're what
0:54:33	right database as well but it's just on a spreadsheet
0:54:39	it was important spreadsheet right that's which so
0:54:43	i
0:54:44	two years two years ago i came to a packet loss here
0:54:49	well what i thought i say i
0:54:53	jan challenged by a technical t
0:54:57	i want to dpi
0:54:59	i is it sure not at all
0:55:03	and we
0:55:05	okay
0:55:05	a that have on you know i went out and i that was by pitch
0:55:09	that i have over those performance indicators
0:55:14	i like to get something so
0:55:17	so i went into our something to the api
0:55:21	you know the
0:55:23	no i don't and i was possible mister
0:55:26	i'll tell you what
0:55:27	makes me
0:55:29	uncomfortable about the disability
0:55:33	you know really i know how
0:55:37	a possible context and that's a checkbox compliance
0:55:41	we are really people were more interested in this cells build in actually knowing is
0:55:47	the data actually is an accurate is telling me anything important and so there's a
0:55:52	problem we're the
0:55:56	to it becomes sort of the ultimate goal rather then you know how we see
0:56:02	how useful is the data right you know
0:56:05	so you can be a well
0:56:08	what says that for there are various o is not know that just to know
0:56:15	i can click on a sellable back to the original sources i will with this
0:56:20	data come from is that it is also how we can wear a friendly talk
0:56:24	all is relevant information
0:56:26	and people look at the lowest relation between data and the prominence in those in
0:56:33	a lot of it is cool union with the data come from how accurate is
0:56:38	you know maybe the material one
0:56:41	well so we do have any t
0:56:45	okay evaluation it does a good out here we order
0:56:51	make sure that the
0:56:53	their courage this data is actually
0:56:55	accurate
0:56:56	the team once the submittal psyching cables the t looks at it
0:57:02	to make sure you sure it's
0:57:06	you know
0:57:07	the roughness indexes
0:57:09	i mean that the sectors will be looking at is
0:57:14	we don't make paper
0:57:20	we use
0:57:22	figures five and that's
0:57:25	well that's true
0:57:26	it always those parameters
0:57:30	right so clear exactly the way to spend too much when you go back to
0:57:35	that of data you spend our money interested in doing right
0:57:41	i just saw h
0:57:46	because the bank is very much we have one also i say twenty seven
0:57:54	got to thirty six months you a flexible with
0:57:59	well that's sample
0:58:01	i
0:58:02	it becomes a little bit of the challenge
0:58:06	for me is the c able this
0:58:09	i need to discourse
0:58:11	no this work i have the goal and asks
0:58:15	a couple more money these see you've got to believe that all the city here
0:58:20	i do you more or less
0:58:24	and it's data
0:58:26	it's probably
0:58:28	to have so i don't wanna was
0:58:31	in particular "'cause" i gotta in for mac version of what you submission
0:58:39	in success
0:58:42	you know
0:58:44	it is it's a big challenge because he you know
0:58:49	elections happen
0:58:51	secondly present i you know
0:58:54	there's a lot these that went on
0:58:57	we could get them to we to is kinda
0:59:01	all c and we work for
0:59:06	minuscule
0:59:07	really kinda like this is some work on so okay good i just by means
0:59:15	of the
0:59:19	things that you want these countries to do to drive private sector also
0:59:26	you will see what's going on in this country people in deciding
0:59:31	arguably that fracturing
0:59:35	where gas production is more important
0:59:37	clean here
0:59:40	and
0:59:41	are you going into these countries and saying well you know
0:59:46	you you're environmental policies do not really see systems are not gonna give you any
0:59:51	money
0:59:52	is that you know because certainly we use it to those values particularly in the
0:59:58	us
0:59:59	what we used i mean
1:00:05	conversations we used i see a step
1:00:11	you know that the white ones i don't know certainly it's been driving through
1:00:21	i do actually standards a woman's story has been around while
1:00:28	we agreed upon action
1:00:34	is it
1:00:36	the thing we have you see that so
1:00:46	it's more or indicators environmental usually
1:00:50	okay
1:00:55	that there may be expenditure
1:00:59	in your lips
1:01:02	well i'm just thinking so tired that when driving economic growth
1:01:09	one project and really try to else but the economic driver is to limit here
1:01:16	are you are in that kind of thing is in this you know miss what
1:01:20	people marching
1:01:23	for senior world can and what i'm struck me as you presented as well as
1:01:27	what rate way to store
1:01:29	influence the role in contrast to take on best practises and so is also possible
1:01:35	you
1:01:37	actually reinforcing things the long-term very address
1:01:44	and it's
1:01:45	it's messy it is not a process i got anything well
1:01:50	so the individual or would be
1:01:55	so i'm thinking
1:01:57	so in the world in a husky that people to create the product they go
1:02:02	to twenty seven thirty six months
1:02:05	where coordinate e t l's the
1:02:08	okay thank you very fast
1:02:16	where there are sent any so
1:02:18	it development banks that to every clear exactly at a low how's your procurement issue
1:02:24	when you're getting money well where do they say because their government employees right
1:02:33	in that it is not necessarily to
1:02:36	get money out the door
1:02:38	so where do their and then i don't have that were you v c r
1:02:42	o
1:02:44	how did you mesh those to be are you able to do
1:02:49	i it's experiment challenge
1:02:54	in that
1:02:58	in addition of labour
1:03:01	it is cc
1:03:02	that's been
1:03:03	this o
1:03:07	what we what is the back
1:03:10	all this
1:03:11	functions
1:03:13	we actually
1:03:17	there are separated from co operation
1:03:20	the top right operations to still orders
1:03:22	a here
1:03:24	i
1:03:27	it is so they there was actually stronger
1:03:32	house
1:03:36	i don't on
1:03:37	somebody should i
1:03:41	so i
1:03:44	it was a
1:03:45	it was not of
1:03:46	three
1:03:50	you know it is not really
1:03:53	so there are words are along the river what like what works are or
1:03:59	and
1:04:00	my job leads to
1:04:02	make sure
1:04:04	i
1:04:07	you know and for me it's
1:04:10	i that for the first that can either
1:04:14	when you can either
1:04:16	they got but this topic t
1:04:18	at most five
1:04:19	especially about it
1:04:21	sequester
1:04:23	what we get this clustering library but
1:04:26	i have i have the that
1:04:28	you know very strong
1:04:32	you get the
1:04:34	well a lot because that was
1:04:37	only two types of five
1:04:39	but i like that
1:04:41	that is by the dictionary as possible
1:04:44	sure that the money is going purposes
1:04:48	but with the problems
1:04:51	appropriate
1:04:54	white house but it offers
1:04:55	make sure that you know or i
1:04:59	in line with
1:05:00	the purposes
1:05:03	one
1:05:05	then when the channel hopping about round
1:05:09	i have to addresses
1:05:12	so did not have the opposite that there were two for trying to get money
1:05:18	or criticise becomes too much harder of putting money update or rather okay started off
1:05:27	but the other side is you get to both and not result in take all
1:05:31	long time every getting money out the door which does anyone which is also and
1:05:38	so again somewhere in that makes a how you set up the right it's any
1:05:43	people to use the data and formation is available
1:05:50	so that we can create their products but do not quickly i don't know that
1:05:53	or so that every
1:05:55	i mean every exactly that's what everyone looking for but not quite how five
1:06:03	because people would do a set of stuff
1:06:07	there are incentives forty thirty six last okay thirty one there settings for eighteen months
1:06:12	they get an eighteen month the yes
1:06:15	well there's but there's it is flexible
1:06:19	we try to
1:06:22	worst of to do
1:06:24	you know as quickly as possible sometimes it is it is possible
1:06:30	to do
1:06:32	you hold
1:06:34	you high
1:06:35	the people to use l two t is completely
1:06:40	see here
1:06:42	have the right
1:06:43	you don't mix
1:06:45	skills
1:06:47	to be arranged as
1:06:50	it's a little cool financial of human source
1:06:56	in the working with this
1:06:58	there are based in country
1:07:00	no
1:07:01	these two d c
1:07:05	once the compaq starts
1:07:07	then based
1:07:10	the country
1:07:11	so we have a very small footprint that the country
1:07:15	two people
1:07:16	usually the country right
1:07:21	and dirty
1:07:24	well very small office
1:07:25	supposedly it there's a lot of genes that go
1:07:30	a word basis
1:07:33	working with
1:07:36	the interests colour
1:07:38	is there supposed to be mark
1:07:41	thus
1:07:45	pretty good success in keeping the same people
1:07:48	or is it often someone yes i task and then go to create a new
1:07:54	i
1:07:55	and someone else picks up the better the actually like that while the these people
1:08:03	the not the best
1:08:07	i people
1:08:08	one country experience one
1:08:11	okay
1:08:15	sometimes it is the same person but most times it is not
1:08:19	in u x to be the same
1:08:22	because they i know what the world may get idea either the
1:08:25	and it's not necessary thing by the tickets design over eighteen months
1:08:31	any goes implementation then what is implemented things that change so there you go back
1:08:36	redesign because over eighteen months the world exchange is there a lot of that going
1:08:41	you designing that
1:08:44	well as flexible
1:08:46	you don't we were talking about the
1:08:48	slope be useful thing
1:08:50	o and
1:08:52	they have to actually come back to the time see it as a certain threshold
1:08:59	we shall
1:09:01	can things to change
1:09:04	little cocoa happened
1:09:07	those kind of thing i it is it's cost
1:09:11	but there's always a check
1:09:13	okay
1:09:21	i this is probably the last one we do the evaluation and this is where
1:09:30	the lessons learned a lot of the with
1:09:32	are you guys to take a look at some of the
1:09:37	evaluation
1:09:38	actually evaluation
1:09:41	because it's a new organisation rates only take usual
1:09:48	sixty percent of the portfolio is
1:09:51	performance evaluation one percent units in a impact evaluation
1:09:57	and i wish there were doing it by sector elsewhere
1:10:03	we use them and well
1:10:07	but we bring exports from everywhere like i think the bank
1:10:12	has been very active participation in
1:10:15	in this
1:10:17	so we did the worst
1:10:19	at first was a sector we're about to i think your about to either have
1:10:24	been we have already is getting ready to do will sector by sector so we've
1:10:30	got a lot less insular around
1:10:37	the accented or
1:10:39	this is a couple years ago we need to you but i two it who
1:10:45	really or what everybody's experience to go to start looking at
1:10:50	the data this is the data that by the way
1:10:53	i've been were working on pushing out
1:10:56	api stand in she we so
1:11:02	all of its impact of that we should
1:11:06	the portfolio is a i'll
1:11:09	one or two hundred twenty impact evaluations
1:11:13	there
1:11:14	going oracle
1:11:17	i don't has
1:11:19	huh that's across textures so
1:11:23	these are expensive
1:11:26	g
1:11:27	right about
1:11:28	two million dollars
1:11:32	evaluation
1:11:35	so the point is to
1:11:38	thus
1:11:39	no
1:11:40	so
1:11:41	they were very idealistic
1:11:43	in twenty did not really the
1:11:47	created in c
1:11:48	it was not just for
1:11:51	that's and slower it was for accountability
1:11:56	to achieve
1:11:57	but
1:11:58	when you use of a novel and cc or intensity are people to implement it
1:12:07	is possible
1:12:09	and cc
1:12:10	it is interesting to
1:12:14	and a reputation
1:12:16	relies on this very
1:12:19	and the results it's can you are so
1:12:22	so
1:12:24	there are many results do that
1:12:28	first five impact evaluation or to wear
1:12:33	two years ago
1:12:35	we're weasel would mix
1:12:40	and we we're two
1:12:41	a lot
1:12:43	internal
1:12:45	talk about should be you are we ready enough to say
1:12:50	i should in some
1:12:53	it it's a harder to do you watch you could do you
1:12:57	can see you know paradoxically study learning theory
1:13:03	running from your excuse is the most of active weight where you have a culture
1:13:08	we can acknowledge those failures then you just shut off the best or you have
1:13:13	not
1:13:15	so well as it
1:13:18	mixed with
1:13:19	some successes
1:13:21	some a
1:13:22	so
1:13:24	this setting in evaluation results
1:13:30	well there's a lot of lessons learned braille impact which self so this is a
1:13:34	new
1:13:36	institution
1:13:37	i will remain intact evaluations
1:13:40	you can buy a weighted less now we
1:13:43	so
1:13:44	this other lessons were already is that
1:13:47	there's a
1:13:48	what we want to look at is a value between function
1:13:52	you know how this is probably even better books
1:13:56	it
1:13:57	if a is here
1:13:59	is there a counter factual they can look at
1:14:05	we used a little or changed hands
1:14:11	what the criteria for of so you can always ask
1:14:16	for what
1:14:17	proposition is there is evidence
1:14:20	supporting not right and that can be things that aren't necessarily quality we call you
1:14:28	try to these three things and looks like right so
1:14:31	so that so order
1:14:34	this was the guy that is a head or
1:14:39	evaluations t is actually
1:14:43	well
1:14:47	he spent a lot uses career here
1:14:52	i can be pretty good predictor
1:14:55	well score
1:14:57	i guess who is et is easy six till you know okay so far
1:15:05	so he is trying to institute that will be i
1:15:11	the
1:15:13	pretty rigorously addressed c
1:15:15	so i we give to our work one euro for
1:15:23	so i don't think i i'm gonna go okay i right okay so that's me
1:15:30	i don't know if you i would model
1:15:33	to argue for i think this presentation
1:15:38	right
1:15:40	i don't have contact i will be an email
1:15:45	well i have a
1:15:47	i shall we
1:15:49	you are arranged in
1:15:51	i
1:15:51	and it's
1:15:54	i don't
1:15:57	center right away
1:16:04	so
1:16:06	there is a really graded on collective
1:16:11	collected more
1:16:13	i was going back to be change how we
1:16:16	got to be we are g in generational accumulation knowledge and so forth and you

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Chantale Wong, MCC