0:00:10greater one rule
0:00:22the home or more all
0:00:28okay
0:00:30given to right now
0:00:35you know more one
0:00:40call
0:00:50sure
0:00:56here a year
0:01:01well you know
0:01:07i will go do
0:01:12i
0:01:21okay you can i
0:01:27i
0:01:34well
0:01:38right
0:01:56i am
0:01:58well i
0:02:04one
0:02:08okay
0:02:09you have one
0:02:14i three or
0:02:19and it can be i do i have a presentation but you know the by
0:02:23making it very informal we incorporated company frame
0:02:26going to boundary and clearly have a question
0:02:29i'm happy to address when we go one
0:02:32so adamant and then clearly more a actually i work for relation known and everything
0:02:37recall you design but hey you can be on the screen right
0:02:42the logo and all that in you see the
0:02:45i am showing me three
0:02:48though let me know you can see my presentation
0:02:53work organisation be that a harbour and you will depend on for international involvement and
0:02:59really no evidence recall design we call flow you time and you started out i
0:03:05think actually about seven years ago and a couple of the in the public the
0:03:09and you or public all people out there may along with their tenure be company
0:03:15you know
0:03:16and amount i find the native height of the program all evidence for probably design
0:03:20you applied and i think initially kind of started out a supervector you know
0:03:27implementing their own reader under kind of the research and i'm role of the organisation
0:03:31but we kind of involved in something a bit different particularly
0:03:35then i mean in the lf here and enjoyable we work we need on the
0:03:41ground clutter
0:03:42actually hardly make sure that reader and data and more actively inform policy here and
0:03:48in
0:03:49so right now be that are they are now are reflected program on the only
0:03:54a you use research evidence of what i did one hundred
0:03:58briefly kind of you try to be you know
0:04:02there were network that actually happened in country partner so i've been example and in
0:04:06country partner combined
0:04:08actually part employee that it will and working in the end that we and we
0:04:12work on record program and also be looking remote attainable well do not show but
0:04:18i and i'm approaches are probably a little bit different the
0:04:22clean and either like an evaluation are usually orientation
0:04:29and then of whether played we have a recall that we were coding the quality
0:04:33partners who were very much in partnership with the government in the utterance and you
0:04:37economic theory an empirical evidence you
0:04:40i poking implementation problem than and that had three
0:04:44problems with data driven and that we have kind of the whole you have different
0:04:48components of probably able to organisations that you're where whether like a j paul or
0:04:52you know something like that where bit different of them we tend to focus more
0:04:57in order to examine and word in the long haul
0:05:01we're not appear to get rid paper and
0:05:03a lot of what we think about how can we actually make sure that you
0:05:07know how driven by data and by readers evidence than one of the region but
0:05:11not
0:05:11given by the reader rabbit and those kind of briefly are family of how we
0:05:16work in india
0:05:17a lot of and what we end of doing is capturing data helping the government
0:05:21for capturing data that are not have trained or help in the government we grew
0:05:25out of the actually believe that either immediately available agreement and when the technical i
0:05:29actually got a minute meeting
0:05:32me and you know data that able to the public
0:05:35and then once we've been working with them to capture the data and are we
0:05:39talking about okay happen at the view markedly right you know a very efficient implementation
0:05:44improvement then in implementation you know a dropping another in the challenges that are actually
0:05:49a pilot program on the ground
0:05:52internal working that the mind randomised controlled trial that working or even more quick and
0:05:56dirty they
0:05:58referred me now with your administrative data that are think about you know how they
0:06:02can actually the problem they have
0:06:06so
0:06:07briefly we have people that area
0:06:10i republican nineteen accountability because we're a very much on the data five and then
0:06:15in the that you
0:06:16if you right now for corruption accountability that everything but we kinda have you one
0:06:21on the other areas that and then we vector focus area we have and then
0:06:25how we can work with partners everything robot whole department
0:06:29we have and unity variance relation with very ministry the department and then found that
0:06:36and you know helping them about
0:06:38if the management tool either project randomised controlled trial depending on the technical type of
0:06:44thing about how to train programmer rent then
0:06:46you in a little crappy voting for thinking more about data now and all dialogue
0:06:52for any kind of and the whole the ml dependent on all parameters
0:06:57the mean other thing to do you care the building back you readers i haven't
0:07:03programming that
0:07:04i think of the coming from you know hundred well they're not been in the
0:07:09port there
0:07:10you the idea that you know the academic the fitting in an ivory tower and
0:07:14they're working on readers mammy not role in you actual ball people were trained men
0:07:19a problem on the ground
0:07:20there is an but the connection between the record but going on and they have
0:07:24made by all uniquer
0:07:25and i think then there could be really good regret academically going on that could
0:07:30in part of a lot of in high quality you call but it one of
0:07:34the research is completely inaccessible to do not only are you know that alternately they
0:07:39don't in that you think other trackers are really kind of driving widening the way
0:07:45so how would like to ride your the problem is that of being word rates
0:07:50between you know a regular reader and then all of the policy what we're trying
0:07:54to bring them together make sure that they which of them are correct
0:07:57the quality time reader not practical
0:08:02so you can and that the idea very easy the in you know that you
0:08:06can at all really are a you know thinking about the number you know
0:08:11a lot in your in the you know they're reanimate control trials that are going
0:08:15on how much of the
0:08:16results are actually taken up by the government you know that we actually very limited
0:08:20and what we see though in you know that some sort of the network anything
0:08:25about why that exactly in what we want about improving that
0:08:30the speaker program itself i need to give credit where credit and you is i
0:08:35a from that there were conducted a harvard and then the norm in the ad
0:08:40where women of the program
0:08:42that are actually a bunch more you care programs around the world model them lying
0:08:47in her it within a very pleased and they all have
0:08:51and of you define
0:08:53the same goal connecting all the regular reader and you know relying on data and
0:08:58evident than read their you know the other words the program
0:09:03make sure that all the more data and readers seven but they go about in
0:09:06different ways so i'm group for training parliamentarian other building you know you have a
0:09:13that everything are program is be out of however we work in and i
0:09:18which are
0:09:20the human country that you want to talk or can be working a lot of
0:09:23other play the deeper kind of wary of what
0:09:26remember that in the than that we focus the light on how that are intended
0:09:32to kind of
0:09:33demonstrate the value of using a recording data in addition
0:09:37and generated in the end of what all partner i think there you know to
0:09:42have more be determined on the data
0:09:45all your implementation problem
0:09:48based on the kind of go to briefly some of the different component the vq
0:09:51and then you think that we learn if the deadly from a part of our
0:09:57program that means that under any
0:09:59are the information actually get incorporated in the maker
0:10:03rd the reader to happen in
0:10:05get incorporated into the decisions that all uniquer they're making and how much are they
0:10:09paying attention to that kind of one aspect of your that and like to bring
0:10:12out and then the other is what we want a part about
0:10:15trying to encourage the use of data reader
0:10:18but like everything career driven out in implementation
0:10:22we have
0:10:23four main components of each year the purposes and that when a constraint on f
0:10:27within the healthy
0:10:29the real time you under the inter alia that man through
0:10:35different like how even how are you know how legal corresponding to about you know
0:10:39your scenario how you work on how you make the thing
0:10:44trying to get out what are the institutional rate and everything one that is making
0:10:49on one of individual training
0:10:51so it is something like certain individual with right now speech rate have are more
0:10:57likely than you a data-driven argument worker all your program a or implementation variation whereas
0:11:04others are not much
0:11:05and it is something related public or motivation is related to your colour red you
0:11:11know because you're willing to come from the that you really we need a little
0:11:14bit more with you can be different even after a to find it all the
0:11:18questions i think that we're trying to hundred and
0:11:21well looking at the durational constraint on everything all the in my that i mean
0:11:26and range within the indian the done
0:11:29what he reported really you know the result of the reader at the end they
0:11:33look the that you can potentially be applicable here
0:11:37and you know maybe we should give it or something that you know that the
0:11:41word that paper but at making or it will work something different people and
0:11:46you know like that are engaged the idea having any evident german policy
0:11:52i'll go to the other area one by one well can talk a little bit
0:11:55more about
0:11:58o
0:11:58i see that
0:12:00the whole thing a little or no
0:12:09so that a good question at
0:12:12the in thing that's right have to check on whether like they're actually given about
0:12:17the
0:12:19we're trying to do and i had random at the decoder the radio program
0:12:24and more during the second year the problem i think at the end of the
0:12:27third year you know the instrument that have been you would probably
0:12:31you know to be widely you publicly available
0:12:35i think it when we are kind of having different things you know what work
0:12:38better dependable listed what really going on
0:12:41you know how the makers might think it actually very difficult to go to like
0:12:45an impulse immigrant a weighting but you know every pay all appears that if it
0:12:51almost like speaking another language a lot they only have that the great idea but
0:12:54you know what really matters when the take the decision that are making the information
0:12:58for that they go to a sort of thing though
0:13:02so you just summary available of the fact that we're an earlier the number with
0:13:08the group of kind of mid career control unit and i think it would alter
0:13:12interesting but out that they show that
0:13:14you can ask questions met bill not
0:13:17oleander like i didn't like we got the bottom of what we're trying to get
0:13:20you by a question and more recently we can
0:13:25more men with a view
0:13:27kind of very in your official here and they take the questions that we are
0:13:31we're get different they were more like you know here the policy that eventually being
0:13:35implemented here and in
0:13:37here the response we're talking about just walking and the idea of the proposed on
0:13:42you think it will not be effective
0:13:44while you think that where we use a what would you you'd under the end
0:13:48if you had the four or you know if you can support the program you
0:13:51know how you actually gather information you kinda and in you are the point here
0:13:57are they were line and their own working and what they actually go looking on
0:14:01mine them where they actually trying right that g
0:14:04you know are browsing the web you know about working
0:14:07okay
0:14:10so let me you the next by
0:14:12so the mobile a rayleigh that in that we did with officials that are indian
0:14:18demonstrated so that all three and so there are no i of their in the
0:14:23u r people who are very weak group so the
0:14:28like to the when you're a picture some of them but they can but everything
0:14:31in perspective imaging data in the in the middle of a one in every three
0:14:35thousand people that of by actually the made in the program
0:14:39compared and i mean come however the imaginary part of one and seventeen so
0:14:44completely of really to get in the harbour compared the how you what you have
0:14:48to go to get in the in the elementary
0:14:52so that and i'm trying to put in perspective that so what group they are
0:14:56you or other kind of the recruiter model of the country under relatively young age
0:15:01and then the end of going to the government the down the road needed to
0:15:04a lotta different
0:15:06department within the government and the of the work away out from government that are
0:15:10all the way to the control level
0:15:12in the we ran in that men with a mini that the role in the
0:15:16that we went away with those that were
0:15:18i recall the mid career they were kind of transitioning from the trick and they
0:15:22control level
0:15:23and the public and the live here we rented pervaded that and the level we
0:15:29call the need a weighted average all e
0:15:32and we did in training with the most popular the picture actually training them but
0:15:36they had responded to the survey question
0:15:38below
0:15:39and have you actually use evident within your department in we can find evidences you
0:15:44know reader or anything hundred d today
0:15:47and not anecdotal that you finding out
0:15:50so
0:15:52how motivated or people in your to the remote station you data entry for finding
0:15:57thing you know that and making you know by and large people pay you know
0:16:01we are somewhat motivated
0:16:03but then if you look at what
0:16:05whether they have temperament and you either we are finding viewpoint of lightly lower them
0:16:09much more likely to say you know they have a weaker and there's down kind
0:16:14of the distribution worked with no one can i do not if you
0:16:19difference between the two
0:16:21we have what extent your department head orientation value data and we are finding based
0:16:26on my any and the remaining kind of bring any time you have been reported
0:16:29are comparable by presented with a here
0:16:33but it you know are you going to give a mean again my mind if
0:16:36i work in every i'd likely that of course you know recorded whatever that the
0:16:42and then in general and people in your position or the more efficient than your
0:16:46department are just find that the that any how often do the referent data research
0:16:50i think that they don't time or you know very frequently
0:16:54it might even in the other you know they're
0:16:58and of temporal working definition the reader can evidence and the data added in there
0:17:03you know brief people rate is often hundred you're in it
0:17:07it doesn't necessarily reflect on the quality of the evidence by did you know very
0:17:11frequently used by the that frequently people like what they are what the reader but
0:17:18that the marines ever with the department and then we and what about the area
0:17:21of and you and the department and the most commonly with that they have a
0:17:25lack of orientation report that it or not readers
0:17:30so and i see that a lot when in a real-world well mannered from working
0:17:36with any actually even though they're actually lot of people sitting around with their can
0:17:40be but the people or goal of course are fully occupied all the time you
0:17:45know work the five hours per week and you know really would have no additional
0:17:49and what click on something like exactly reader or you know anything the on what
0:17:53they're doing that kind of thing going
0:17:56so that definitely rodney really based on the right side
0:18:00and then a interestingly enough data what to the lack of an indicator research in
0:18:04the department even know you know what we need or want ya li and the
0:18:10local lack of interest is the lack of technical training on how to actually you
0:18:13are given the fact that way
0:18:15lack of technical training in the in the analysis and blackman later research of individual
0:18:20level we have a minimal responses that they could if you about how are frequently
0:18:27the variables are the
0:18:29the value that they were given a being at the impaired using after that
0:18:33and then the a little bit of in the fight in the time but we
0:18:36were using the question to understand how to actually train the whole but we are
0:18:40asking them you know what would actually be useful you in your job because they
0:18:43think of time we think the reader indeed it you know somehow all unique or
0:18:47something wanna jump onto it but
0:18:50if the question mark that was what are the decisions actually needed for them and
0:18:54how can we actually have a more kind of a data-driven paradigm in which all
0:18:58makers are operating and the thing that they try to do not problem actually all
0:19:03you now making will
0:19:06i evaluation impact of a pilot program
0:19:09affecting the quality of reliability of data and you need a manner to all the
0:19:13em program
0:19:16and interestingly enough down below there are that are connected by an open up to
0:19:20you know we're working with the group a very bright keep all your during training
0:19:23with them afterwards and we have a little bit about benefit and all that
0:19:27and then that the group of that you put the pedal you have actually
0:19:32either can benefit in out the work that yourself and no one korean
0:19:37and event that they had never gonna or come and then you know have something
0:19:40or both or but it sounded like from what we were you know that in
0:19:44on the lot of the that is there any would be fine
0:19:48i don't include and will you know experience role
0:19:52everything that thing
0:19:55okay that the brief summary of something we one directly from a man and then
0:20:00mention that we can actually were and within what the image training
0:20:05and i'm the not enough
0:20:07so the actually ran a very a different version of the about anything to recall
0:20:12to be really interesting happened in the for about the light and then i'm going
0:20:16to go we only and we got you like a quarter over all
0:20:20okay
0:20:21more importantly we had the whole
0:20:24results and then
0:20:25but anyway that i think there can be quite interesting involved because before i
0:20:31what called the joint factor level and
0:20:34the wind but are prerecorded anything are you know
0:20:38indicative of but i think kind of and calculate what we're going back very do
0:20:42that when category actually one though politician do what they will and then try to
0:20:46carry five whether thing
0:20:48you know what the politicians that really well the one that happened
0:20:51the people you have a lot of and one and what actually happened on the
0:20:54ground
0:20:56based on the one you
0:20:58training now we do so one thing that we all right but if we can
0:21:02you know and end of the airline furthermore
0:21:04you know data-driven approach is training or are these in the administrative their all their
0:21:10that we're going to show quickly we do the online model and there are in
0:21:15a not necessarily training you like i will
0:21:19there's a good amount of training data available and in bleu
0:21:22thinking about how do you actually run trigger evaluate and that sort of thing and
0:21:26i think there definitely inflate for that but when we're talking with you know level
0:21:29control those actually
0:21:30probably not the most relevant thinking number they're never going to be the part that
0:21:34can be running an evaluation
0:21:36they're going to be the person that actually commissioning evaluation or even in the result
0:21:39of an evaluation
0:21:42though we are you have the well you michael we have about the more that
0:21:45we're going to the well the ones that we develop or a semantic analysis the
0:21:50politician the kind of related q how do i think that when i have all
0:21:54the competing me and funny you know i'll be different at any you waiting
0:21:58having
0:21:59that kind of an important systematic way
0:22:02and then the net models about
0:22:04being and one different impact evaluation of them and give male or to make that
0:22:10at that he we evaluated program and i looked at the report what we what
0:22:15whether i think they need to look for hundred and whether the to a very
0:22:18good quality report connected you know think about buying the recall
0:22:23of the evaluation and what i think that are red black next thing all have
0:22:27not really well done evaluation
0:22:30and i can actually think
0:22:32here typically will bring about big green dot from you online model that we have
0:22:36no actually interactive and you can walk through
0:22:39and you want the model driving conditions on your own
0:22:42and then the decisions are recorded the core or you know future people in the
0:22:47in the model
0:22:49so in any of your bread user an adventure story in my mind that little
0:22:53bit like that the model builder that provide the into that you're on so
0:22:59and the screen shot here the automatic approach and all the things and then we
0:23:04have people
0:23:05i think about each one and one how intimate quite relevant actually of the point
0:23:10i'm for everything that when people are by thinking about how you react you know
0:23:14at a unique or two
0:23:17presented with the job interview we are with the problem we have been you community
0:23:21you one thing you can thing what about the all that thing in widely make
0:23:25the fact that and how you make a decision you know given that the duration
0:23:30of varying big
0:23:32so that the core the training that we do that be your program
0:23:36and then that you actually is a pilot project and recall running a technical support
0:23:43for improved efficient making
0:23:44and in my mind that is where the for the learning within each german then
0:23:49you can't our goal have been happening because the idea of the pilot project that
0:23:54we would work well with all uniquer
0:23:57basically demonstrate to them the value of using data and record rather than in their
0:24:01data decision making
0:24:03and we've got more all with various partner in you know kind of a call
0:24:08back to memory load
0:24:09kind of elderly people for thinking about you know and are capturing data that should
0:24:13be capturing again better capturing data that very poor quality
0:24:19you know problem better capturing develop or quality but also and you know the word
0:24:22in a very poor manner that makes it very difficult for anyone what you any
0:24:26part of an l really died in the programme and under them what's going on
0:24:30the kind of injuring an l
0:24:32but that and one end of the document and the other and thinking about okay
0:24:36you do have good quality how you are you improve your decision making
0:24:41they have and reflection of the end of my
0:24:44little presentation about a year kind of what we went so far and with them
0:24:49actually early on how to project we've done
0:24:53the kinetic if you like what a pilot project will look like for a
0:24:58we started with the radio program what is a really one on people working in
0:25:02a minute
0:25:04a very large public work program that implemented here in india
0:25:08you can in fact that a few thousand five
0:25:12and typically their approximately forty seven forty dollars per million how cool a benefit from
0:25:19the program you're that we have if you go would have a little larger public
0:25:23where are you know program in the world have you know that typically huge amount
0:25:28of the government budget as well
0:25:30the highly controversial program now because it
0:25:33it felt targeted meaning you know the port of the core probably the only one
0:25:37whatever one of work on the program but they're all collect them really strong allegations
0:25:41against the for
0:25:43in other one approach and then the program without any prior correct about that a
0:25:47little area is going to their we used to be going on in the or
0:25:50whether the in a viable program
0:25:53but a given the amount of money i think it
0:25:55a figure one eleven dollars data and the billion the
0:25:59i don't three or text material either very different numbers i think it in approximately
0:26:03each year that it
0:26:06and the will help commonly they have more work from local leader locally write them
0:26:10with work on the project but one thing that we got a weakening in the
0:26:14you know work in india marco clear that i the program although it you know
0:26:20you can actually probably with the variation program to the that collecting data on you
0:26:25know every public work has been under in every way have indicated one at the
0:26:31program interaction with a very difficult to get added at that l
0:26:35though in some way you know we joked that they were they don't know kind
0:26:38of being structure not about it even though they were howling into a training program
0:26:42it will you know
0:26:43anything but not very difficult to actually get
0:26:48the for that particular pilot project we work with the government now a we go
0:26:51to their mean web page we created what how the public media portal
0:26:55people can go landmine actually done all labeled of information about the program it real
0:27:00time
0:27:01e you can look at updated information were doing kind of a point no version
0:27:06of the public data-borrowing that work will actually be able to be information in table
0:27:10the ground than i do not like open data that the done thing
0:27:16then we we're training data very able to the public
0:27:20in the writing a lot of researchers have really jump on that in and enjoy
0:27:24that in benefited from and we're trying to trying to get the next level another
0:27:27in you know now of the government you in a more effectively happening for them
0:27:32you know either in a better way
0:27:34and that one example have a project that we have
0:27:38and it where you to the most value of our program
0:27:42because they think that
0:27:44because my brain but for different hunting component the speaker the have a program in
0:27:49each of the greater were kind of thinking how many kids actually decision content
0:27:58and going you about time
0:28:02of the time a reference to the corruption and write a program and
0:28:06the controversy surrounding the program
0:28:10only included in a time pressure you got of
0:28:12and what we've been working on with the core but
0:28:16that the highly of another part of that we have of the result of the
0:28:19vq program working with the minister role development for on a public data portal another
0:28:24sort of recording or
0:28:27in looking at the initially only working with the goal training program providing technical thinking
0:28:33about how can you you're mimo
0:28:36and combine it with secondary data that already collected the inter question about where you
0:28:41know but he's not many of you should be without that thing and there's really
0:28:45not by the when we put into you know how to take a killing be
0:28:49done the way that market here again you know the value for menu for the
0:28:52government
0:28:54we got the work on environmental issues looking at a that have to real-time data
0:28:59and factory pollution
0:29:00and that actually eventually going to animation training in any canadian the next year
0:29:07and then one that when we had all really well
0:29:12but i get the just three partners that we have the role of each program
0:29:17actually have a quite a few more about
0:29:19either nine actually i think
0:29:22and no one in the idea that kind of the paradigm in how efficiently actually
0:29:27you hear
0:29:29and then the final we do with the speaker program that all dialogue than what
0:29:34we try to you bring reader together with all you people and have a wide
0:29:39selection of people from you know very different backgrounds in the room talk about
0:29:43you know you're the core problem in the area
0:29:46what we do you could be on the you know the debate on that you
0:29:50looking forward in a more native german way though and when we had a party
0:29:56dialogue and likely to you environment enable development economic growth environmental action rather than a
0:30:02policy
0:30:03and the whole of that it without the lunch basically open require a local where
0:30:09all department a common they you know i think that
0:30:12there could be a better use of data are reader in all the question that
0:30:16they have and could you please come with the we have training and technical report
0:30:20you know that i the project mechanism to be helpful for
0:30:26okay so that the picture of the ball you a little bit though going back
0:30:30and thinking more about actually hardly anyone have a question and about
0:30:36a component the be sure that everything and then on the one you thinking about
0:30:40what have we learn from in particular project and thinking about how many a
0:30:48incorporate be then research more effectively and the government here and in something for can
0:30:52you tell in that way
0:30:56we will show
0:31:47okay
0:31:49why are
0:32:02okay
0:32:03okay
0:32:17i really well i you know they are directly work out the they're all while
0:32:25we all the pentagram and we end up having
0:32:28what are
0:32:29you work i think very by another view of the actually that the person who
0:32:34was originally the week or something in different parts and without a clear country mandarin
0:32:39and we have very quite clear
0:32:43i would be the different than what we're doing is that you have kind of
0:32:48more about that
0:32:50that a model or training that they provide people that probably more on the practitioner
0:32:55by i can be the most value that they're providing is actually training people to
0:33:02you
0:33:02you know evaluation for them l
0:33:05you that kind of course
0:33:08the all over the take very that we're thinking about anything that they a in
0:33:12the idea they now have a common thinking about you know
0:33:15wondering information within the government in providing technical all that
0:33:21i don't the kind of time derivative a hardware
0:33:24but for the most frightening kind of the model builder they deliver more we find
0:33:29at the end goal in mind thinking about how many people actually conducted by which
0:33:34i think i'm with you know they have you actually look at data in my
0:33:37data
0:33:38our training is definitely more you the money to kind of but you know level
0:33:43that will do
0:33:45probably is not gonna the in the we don't all the need to know not
0:33:48like what of the five things any you know about a report the understand whether
0:33:52i did
0:33:53you know a couple value work on an account of it
0:33:56what do i another view that were working on making we will be very useful
0:34:00for all unique or whatever you want to find conflicting evidence on a particular topic
0:34:04there what the report
0:34:06you know the unit the regular program for and they're a lot report on the
0:34:09like i that i
0:34:10and when the whole range of the background there you know you repeat that kind
0:34:14of while it and then there are the recording they were actually very effective at
0:34:18preventing migration very attractive you know i the amount of the minimal area in all
0:34:23the thing
0:34:25the whole training of a i think a lot okay very probable did not quite
0:34:28sure what you with the meeting the target individual somewhat conflicting information on all right
0:34:34the work or anything kind of more about what of you take a look that
0:34:37order the part of that there actually grappling with
0:34:40another part of the reason that were
0:34:43we strongly that men and one hundred and you know i know where to take
0:34:46the problem me and that the
0:34:50you know maybe trying to help them
0:34:52you know what the right way around the lightly
0:34:55like that
0:35:00anyone else having in the one
0:35:06so right for me that kind of the purpose of your group a two hundred
0:35:11and you know how you can learn from what you're doing in each other and
0:35:15one in prior to make sure that a
0:35:19the other thinking about speaker and how we talking about it you thinking ruin preventing
0:35:24from the thing that we learn about
0:35:26how we can encourage
0:35:29uniquer incorporate data entry for
0:35:31you know more negative thinking
0:35:34so and you know i've never clicked on the type and with speaker one here
0:35:38a little bit over here but we had a great amount of data that actually
0:35:42in ternary all you partnership
0:35:45and try what is a cut down on the on a i have recovered what
0:35:51and long all departure whitehead me than the one what are the calendar that eight
0:35:56and the reason i'm talking about the and then because and integration scheme of things
0:36:00i think it apart that really will drive something already reviewed a kind of load
0:36:05in and pay your the training you know you know when you're probably you know
0:36:09policymakers walkway perhaps you know
0:36:11okay quickly than for me and they gave them by any not you know revolutionised
0:36:15how they're actually a poking policy you the great potential with than the harder to
0:36:21tell you actually do that the change people caroline between you know what they can
0:36:26that are acceptable
0:36:27within you know the global what be gunning government kind of re entered in that
0:36:33way and down to really make the mapping in your in the et al
0:36:38i'm gonna talk a little bit of all things we feel like have been very
0:36:40that for you part and then all kind of the town
0:36:44what we one
0:36:47all and their related to really matter and of course i'm sure you all very
0:36:52were that the institutional relationship of all individual relation
0:36:56i know kind of my printed a couple needed am harvard university that usually open
0:37:01going get you can be able then young that you know
0:37:04i have to be able to you know provide them for the value at work
0:37:07on one
0:37:08and more often i wonder currently we have we have nothing that we can offer
0:37:12a you know in fight for them
0:37:14and
0:37:15completely free of charge we are growing knowledge we're trying to think about what are
0:37:19opening my can of them in order to but
0:37:22and that has been for of everything that we do so i one thing what
0:37:27a function of anything about you know what do we actually try to get out
0:37:31of the relation of
0:37:33i think a lot of time because we do come
0:37:35from the academic field you know typically
0:37:38maybe not all the time but a lot of and the reader or coda shortening
0:37:41of the have an idea re are you can be kind of
0:37:44it might ultimately i want many money correct and of the or wanna be able
0:37:48to publish or something with that
0:37:50and i think we've definitely tried that are not in the thing what we wanna
0:37:54get out of the we going to do the all department
0:37:58i do the correct meaning that i haven't really have them
0:38:01and we will say you know
0:38:03what are the chances that you're taking right now what do you have to make
0:38:07and how these are weaker haven't actually help one of the thing here the problem
0:38:11that i do you have
0:38:13we don't understand what they think the problem really are
0:38:16so the mental were problem
0:38:19you know what is the challenge that you have one of the model that one
0:38:22of the big that and you know what kind of open in the room that
0:38:25no one really want a lot of the point you know though don't thing
0:38:29and then thinking about how we're to work with them or respect is very important
0:38:33and
0:38:33in some that the then kind of uniting what we do you know we
0:38:37and maybe not indian i think about the kind of making things nonacademic and not
0:38:42in the
0:38:43condescending way that you know how people other than here
0:38:46i've learned people talk about the making of course there about what did not have
0:38:51to make that many people and you know that we could if we take you
0:38:55know which are more on the problem of it
0:38:58another thing we wonder corpora that if you really want to have any further eighteen
0:39:02within the government the relationship you have combined small level
0:39:06they really one of the kind of the second media
0:39:11maybe something that i have a no brainer in some way but out that we
0:39:14get very difficult actually you can practise and a long-term accurately because the group what
0:39:20are you know work on that typically by research grant the research grant and what
0:39:24you can they like okay what it
0:39:25we actually have to deliver on that we need you can yield work are you
0:39:28know how print they can generate many write something
0:39:31and all that we're trying to think about how can we negotiate but in the
0:39:34end of you know that the side of you know the reader by the better
0:39:38the grant funding by the way actually thinking apartment and you know any really
0:39:45but they were thinking about the i get the that we employ habits from the
0:39:49regular public work program
0:39:51and so when we initially started working with a regular program the minister rolled involvement
0:39:56with the correctly even and i want you to help you had kind of connection
0:40:00three number in one and then
0:40:02i think you can help improve the program being implement and what you're helping technical
0:40:07work
0:40:08we can of that one of our weekly really helpful
0:40:11go beyond that you know we need a movie on the high politician in the
0:40:15ministry in getting to that you're of administrative government
0:40:18and so you know we started working more with the joint that one of the
0:40:21secretary actually align the program but you can be on that you know we're working
0:40:25with the technical people
0:40:27and what we actually from the program is a negative
0:40:31i have those the value of changing the core the important that we get the
0:40:34money in very much committed the idea of using data and reader and one of
0:40:38the ball the program be
0:40:40but the my programmer matter
0:40:43i think when a crucial in life although because you know we wanted to change
0:40:46how data used in how you you're in india
0:40:50we rely fairly quickly into it that the people really needed by the model buying
0:40:56and problem
0:40:56whether the men and women that were literally putting and you know the u
0:41:01become like to wrap around the linear people and i you know and might end
0:41:04room like no light but all i'm randomly men and
0:41:08brad and technology i think that they are actually coding you know the back end
0:41:12of the data t
0:41:13where all the information being stored and you can work only then you think very
0:41:17inefficiently though and the room for improvement
0:41:21and we realize that actually make anything change within you know you reading about the
0:41:26data that are coming in kind of how going in and we wanted anything done
0:41:30in a way that actually maintain you know by the government well
0:41:34we have examined the programmer the of the value of what we're trying to get
0:41:38them do
0:41:39a lot of that has resulted in a and the people are very technical in
0:41:43that with
0:41:44the ministry and work with them unfolding in one we have kind of a union
0:41:49programmer that we're going to cover probably will surely leave it for example
0:41:53million dollar doll you can
0:41:56have an effect and
0:41:57but we can men and q the value of what we were dealing and we
0:42:01have been wonderful about going in the thing that the programmer and now we then
0:42:06i think we show them what with all over time the data that we had
0:42:09done and later require thing that we provide training for them and the balloon it
0:42:14may be a small but actually quite revolutionary in the they are killed in using
0:42:18open door coding which is something that you know more coherent even you know years
0:42:23and years before that if there's really no way would you that
0:42:26i you know not comfortable
0:42:27and we've been doing training for them and thinking about thing at like version control
0:42:31an open source coding the thing
0:42:34which is really kind of the technical by their if you want to actually change
0:42:37people to actually look at the data differently you have to get in the we
0:42:41don't you
0:42:43so we actually hardly make sure that you know when we do you have empirically
0:42:46that the aligned differently now if you want you people get compare the recognition you
0:42:51have to try to motivate and no
0:42:53your training and the other thing like i think that they have no concept of
0:42:56it or not
0:42:57you know what kind of engaged with probably the protogalactic what they're doing that they
0:43:01have a government job
0:43:03though we were really hardly kind of get them again what we're going and found
0:43:06that it can you know very simple thing and you in a huge amount of
0:43:09increased by and by the problem which is then if you
0:43:13i had i think in one time you know the viability of our project the
0:43:17inability of the project and how quickly we can get things done
0:43:24the whole corpus and the other the you know can you take a long time
0:43:29and the whole coming and even being a you know in a minute area with
0:43:33the group are really like to hold it really doesn't help you
0:43:36and you're not embedded in the way that we collect really good black thinking and
0:43:41what we're going and going amount of work thing where you're helping solve the problem
0:43:45working until the problem at all
0:43:47and so i think that probably that different than they normally people coming in from
0:43:52the outline i get part of it is we're trying to show them that we're
0:43:54not why we're trying to the ball you know
0:43:58in the work at all
0:44:01i know
0:44:04i l o
0:44:10the one example would be and an area and a brief on the pilot project
0:44:14a
0:44:15so that
0:44:16where the really coming from one example would be like with the it'll training program
0:44:21the targeted you role you that are living in poverty
0:44:25and you're gonna one and rate on but the program it felt they had a
0:44:29bunch of money and they but then use the data needed and it by finding
0:44:33training organisations but only when talk with them about
0:44:36you know what you're talented one later we have absolutely no idea what we're doing
0:44:40you know we manually node got on training data you we don't know but there
0:44:44really matters but you going the recording on the we're not really sure the quality
0:44:48of data
0:44:48we don't know and you know where recording training ability of their you know thanksgiving
0:44:53training of you even really matter in any of the job market in that area
0:44:56of reading
0:44:57that okay
0:44:59let us try to write technical support for you give a information that you have
0:45:04on your car probable and we were overly all the information and for all the
0:45:08information needed that i was new and there yet and then over the kind of
0:45:12getting that part of the project well
0:45:15then look at where the real me for the type of training so you know
0:45:19they don't have anyone that can analyze and not a level data for them
0:45:23so we can okay find what do i mean out or even if you're you
0:45:26know why we all agree that you hear on the variations and education level throughout
0:45:31the country from the entire but we try to work
0:45:34you know you look at all your training on is directly for pattern recognition
0:45:39if you look at the data on education and euphoria most people mode the younger
0:45:43children are actually only having eight or not
0:45:47so you're you know you've got the minimum education level for calculating a high you
0:45:52want a population that can potentially be trained
0:45:55another thing is the now we're going there are no doubt with and working the
0:46:00proposed one meeting that they have really and the training the ability of the thing
0:46:03i'm going any you know one hundred people and like mobile or after the clock
0:46:09whatever it might be
0:46:10and were going to overlay that with data from an inappropriate industry standard in where
0:46:16the real neon in implement in the air it understand what the matching their in
0:46:20the proposal but they thank and then where there may be and you know like
0:46:23while training and at when really the reading and here that why
0:46:27i really don't have any intimately i you know how than
0:46:30in a like a the analytic that everything
0:46:33at any and that the other you know that you thinking about how you in
0:46:37that the type of thing the paper the originating the paper data in the detection
0:46:42but you make so when you know how to make even like lda tool that
0:46:46they can then used to look at the that on
0:46:49you know the industry demand for where the proposal is not working to have kind
0:46:54of all their you think right you know whether there thank you all based on
0:46:58i'm the secondary data that's available
0:47:00so that would be one example where were
0:47:04you know that the project that we're working on that we feel like and you
0:47:07know it will happen value that it will take time or not
0:47:11you know that the long term thing at a while the
0:47:14though the relations that even to get the data that we you know the next
0:47:17meeting someone the kind of
0:47:19building relationship thing here's what we hear your really are good workout
0:47:24you know we then helping you and that of we have the binary that are
0:47:28not the very and then you are they going back to the next pertinent
0:47:32you know taken that long get an expert can only in the project about but
0:47:37now that we're gonna do it
0:47:38you know it definitely like a very long term or so and that kind of
0:47:44a talent of you know how many in speaker of the very much time down
0:47:47so what can you do in a short period of time that and also
0:47:52the one introduced by michael you can an appropriate time realising that may not have
0:47:56you know actually did you
0:47:59but you open you can think about coming i remember exactly we try to think
0:48:03about the kind of longer term mentality in mind that it doesn't work out and
0:48:08the for you needing
0:48:09a month a no we really need you really try that will go back again
0:48:13and to be you know individual you think that you know for everything the door
0:48:17one empirical or rely on the door open
0:48:21right
0:48:24right we will be wondering i you get more you
0:48:45well you
0:48:47i
0:48:49no i
0:48:55o
0:48:57or the u we actually we want them to what you need to know what
0:49:00would be helpful for you and they do we want you don't really in the
0:49:04em the dynamic so you know addition in poverty and on enrolling you met
0:49:09we one hand and that for them
0:49:11a particular problem and talking about my mind very much a limited beginning at the
0:49:16then my goal would be you know by the end of any sort of interaction
0:49:21that they would be really in the for the thing on their own
0:49:24and you look at it may be more what we come with the wreck i
0:49:28think it a bit more in my in the than that may be that what
0:49:32we created a nominee i the program written style and
0:49:37and in addition to that they're kind of the demand now there's an input the
0:49:41me and that the data that comes from the program look like you know to
0:49:44be something that you can elect phonetic something that extremely difficult for anyone actually act
0:49:50though a lot of what we you kind of depends on the even the partnership
0:49:54or any kind of the at and
0:49:56and how the goal is that eventually they wanted to a one can or you
0:50:01know making take them l i think we view of the bit
0:50:06you know their common the main here in here right now the integral in work
0:50:10and improve government and no one and so i think we feel better what we're
0:50:15doing it having instrumental in that by training data can help
0:50:20right the in accountability and though we like the at the packet or you know
0:50:25yes what we're doing now rate the ball
0:50:28and they you know within government you have entered that are like inter transcriber vector
0:50:32can give a definitely a you know that can hear the inner that the with
0:50:36the public that are okay the data have to really be good or you know
0:50:39you don't really have you know like the data were acquired using the praat here
0:50:43it somehow not inflating and the
0:50:46in the public factor and we're trying to be a part of thing that we
0:50:49need to happen in the same way in the public vector that the private
0:50:57so
0:51:02nonetheless okay they had on the something the most reliable work is the simplest thing
0:51:06a lot of what we
0:51:08really do you know going back idea fitting with programmer in a room in talking
0:51:12with the mother code and why they would actually one
0:51:16and why not actually improve their live and what we do not high enough and
0:51:21that you know i analysing and annotated data with online in you know it
0:51:25it not probably gonna get to a paper and a kernel those it really differ
0:51:29from the you probably that the you know my organization have come from you know
0:51:34related you know not wackier thank elliot how much impact on the be very
0:51:40i don't you think that really why under the radar when they happen a lot
0:51:43of time but they are taken have the big impact so you know right then
0:51:47when and talk about programmer and everything one when the programmer for the next year
0:51:52old only but i believe we would really likely to provide training for one month
0:51:57and how we can improve what we're doing that knew that
0:52:00bad working that i mean and happened and knowing where the relation to have been
0:52:05you know you're or in kind of
0:52:07where exactly repeated either and you know people coming anything they're gonna change any and
0:52:11all that and now they're that then how can we actually an improvement
0:52:16and that needed probably will
0:52:18i mean out of every that we done in the i hope people you know
0:52:22we can calculate a coherent we would change in our country that you robot can
0:52:27actually
0:52:28and you know you think data
0:52:30in the big
0:52:33okay so marked up and what we learn another you the record you know we're
0:52:39have entirely for that matter navigable if you go in and they were here the
0:52:44long island on it is not possible but what i think of a great thing
0:52:48we have the right of programming parking loud either one or creole you know we
0:52:53have a new minister in the for the program in you actually very intent of
0:52:57like
0:52:58you know you talk about rolling at a and
0:53:01you know kind of limiting and changing the purpose of the program in a way
0:53:04that can really coke al
0:53:06and he had a positive impact on and me having so
0:53:10you know we have all the final round you know very different group thing all
0:53:14not lot of
0:53:16a lot of what we've done anything will change
0:53:18you know nothing like how people are making that have exactly getting program going in
0:53:22that the lower right but not in the right up and of the program the
0:53:25ministry of all the palm in which is actually a grammar the ministry in the
0:53:29after the ministry of defence very large
0:53:32but i a no
0:53:35i coming anything all you know when the help of an important on obviously not
0:53:38gonna it's not the problem over there are notable or but
0:53:42no even the part of the lapel the time consuming and you know like it
0:53:47involves the actually hardly they can bear a large group but they cannot be you
0:53:50know
0:53:51a major challenge to
0:53:53but i you think that a better than in poland the m for our
0:53:59we've been working with you and then administered a result there and i went and
0:54:03with at thirty four level or talking about the training that they have
0:54:07instead we can you i approach them or and i thought that kind of crazy
0:54:11they have you know the rounding the viewing and probably will given to try that
0:54:15they have actually very poor very end with harvard one for and then a couple
0:54:20of the universe be they have a couple good one a couple very poor where
0:54:25you directly from the u i the degree could be i had a paper
0:54:29and the week that okay we're gonna come and then what paper today the power
0:54:34granted you and you know we're gonna try to look you and make sure that
0:54:38whatever we then you can be very useful for you
0:54:40and that we train that the people level and then a shortly after that happened
0:54:44that the common and you data training to be a five all are now without
0:54:48the help with the entire quickly redesign were thinking about
0:54:52i will make the decision where the
0:54:54you can and made clear that we can think of the grey or because it
0:54:58would be you have a lot in poland optimally on what happens when i in
0:55:01particular even when the thing at the level i mean they're basically the ultimate authority
0:55:05within their that directly
0:55:08you had like a hundred and the direct but if the cover you know it
0:55:12can cover a large amount of people like inheriting them by like that
0:55:17the people do you have a lot in one may be pointed out that then
0:55:20where we can we can write value and i being in their fitting with them
0:55:25and q what type of the you know what the training was really useful
0:55:30and them a lot and that they have the is that
0:55:33kind of the on the work we can with radii with either and you have
0:55:38a new government initiative and then you digital in the end of the then we
0:55:41point out by the department in r l one time information technology now be done
0:55:46to work we use another common in
0:55:49right training enough to provide technical the that they have you gotten and actually
0:55:54looking at a you know what data that look like what technical and if you
0:55:59write it for the period program and we provide a nominal provided all that there
0:56:03is definitely more of an appetite
0:56:05that will be
0:56:06or you know basically determine problem and readers have in common ever the german government
0:56:11those that are you know that are great
0:56:15you know whether how the continue the on each year you know were hopeful and
0:56:21currently trying to find actually finding more that make you know robot will you can
0:56:25you think are not you know you don't come in and
0:56:27by the government predict my one hundred
0:56:31these are long term part and problem
0:56:36o and the kind of iteration
0:56:39okay
0:56:40and then that the although they had my presentation if you have any quite in
0:56:44the coming on there and then you can also look for what they
0:56:48and then there
0:56:50it is not here and on the web data well i'm happy to take any
0:56:53other questions that allow
0:56:57you know that there are one and even when you're well
0:57:02they've in here when you're exactly here another year and then and beyond that of
0:57:06the year
0:57:07have a family in the early pollution really bad that we're trying
0:57:11with i do that
0:57:14maybe we have another way you or i
0:57:19we definitely well though
0:57:21i think because they do in a very rapidly you know along i'll be part
0:57:25of it now to and the time is right to be working with that money
0:57:28used
0:57:29where clear nearly you quite itself is the uplink training day you know for the
0:57:33long haul try to make that happen though
0:57:36actually mentioned that
0:57:38so when we know that government you know it particular apartment have a good amount
0:57:41of money actually a can then what company the or you know the technical and
0:57:46longer they need t v
0:57:48you know we think that the ownership of while you model like how they actually
0:57:51support that
0:57:53a one because of the other corpora for our type and
0:58:00it should be able binary activity of the
0:58:06or
0:58:09one and l o
0:58:15one and l v and the that particular part where
0:58:20so you know within measurable level working with an acrobatic and a program where we're
0:58:25working with the department of electronic information technology that would involve a lot of the
0:58:29programmer well that and also
0:58:31i met your people that'll be you know they would be the one they give
0:58:35me a report on
0:58:36or why you know in right now they're not thing that barely they may to
0:58:40give me a list of the thing when they can be asking for more i
0:58:43think that it really improve that the really does not depend on the project
0:58:50i think it mine
0:58:59information definitely i wanted to the back
0:59:03they have equal
0:59:07i will have to be available to learn
0:59:16i mean
0:59:17i think that we get quite difficult
0:59:19i think now people they are the lack of
0:59:21i think that the combination of the two but when you actually relaxed back bring
0:59:25on information that all the main anything
0:59:28and one thing we will start in india that there are in the heat map
0:59:32the court i think that the case and then you know
0:59:35country
0:59:37so you know what the actual than the end that immediately be you want that
0:59:41really available might be that you have certain people
0:59:45you know liquid and that in indiana minister director the indian economic are going to
0:59:50different or the
0:59:51you know within you are you and people who are there where the program
0:59:55i will motivate i mean you know they're working till i literally people work i
0:59:59and everything work on the you know and their extremely that in the one that
1:00:03they can have that the information you know they were driving note people are what
1:00:07we you know that the indians
1:00:09and you know how to get thing to and they're very badly that they all
1:00:12you know the writing ready and willing you that information or find a way to
1:00:16actually make it useful for them
1:00:18many other like anywhere else the people who are very much better than that of
1:00:23well you know they may be thing at information that then i'll probably you know
1:00:26they'll an act toward them to their probably about that in the people that they
1:00:31that they have they lack the information that would
1:00:34actually believe that are fine you know and we are able to you that the
1:00:37whatever might hear people like that they don't you know they always higher than one
1:00:41right now i didn't work is going to help them
1:00:44but
1:00:45i see you know how that actually happened what our upcoming training model going to
1:00:51be happy actually
1:00:53evidence that we have one line and they i want to find out about the
1:00:56impact of on y and you know what evidence on your right
1:01:01i think in the f a like that of the one that have come background
1:01:04what evident on the non-native like that
1:01:07you know if you're gonna read like mad values i think there are good summary
1:01:10the pattern reprogrammable whether come up with no to go is you know maybe global
1:01:14color you that for their you know probably from one wall whether they like to
1:01:18improve the not you know like not clear that they would not really no idea
1:01:22might be that
1:01:23it will be valuable that we let people know what reported are available for them
1:01:29i one
1:01:33well
1:01:38but not for all i one
1:01:45a you know that a model t
1:01:54though i think because we haven't holy the volterra model the and to me they're
1:02:00going to be important reduction on a very taking and you know what that means
1:02:07and you know when it happened then
1:02:09where you can try to avoid doing all that have around you know right you
1:02:13or
1:02:14one you're talking about thinking about landmarks evaluation the how to be what we have
1:02:18had been affected number of an impact evaluation we get a you will like and
1:02:23you know doesn't require report on original quite simple thing
1:02:27the whole point you could look at with the impact evaluation report that the report
1:02:31after report on
1:02:32how come that out the matter you know things like that of the hopefully people
1:02:37can kind of realise that there are
1:02:40for that you should abide by should try to abide by then sure that you're
1:02:44actually looking at high quality iterator rather than i think that all you think your
1:02:48though
1:02:50anything that part of a solution to that it incorrectly
1:02:54even greater you of data and weaker than people are you know we are going
1:02:59to be done for the debate about okay that actually not what happened in the
1:03:02map modeling that the what happening on the right i
1:03:05you know people are fighting one that you're another day many of them anecdotal
1:03:10where many of them know they like i don't know in your life for training
1:03:13and then you have the other side in there are at everything that the earlier
1:03:16about
1:03:17you know people they okay we can you need to look at our research
1:03:20on but
1:03:21i think in the end you can actually all that because you know and are
1:03:25pretty good bringing of the minister is you know very committed one by than the
1:03:30you conveniently characteristic than what record about that and you know not
1:03:36does not really very form of the value
1:03:39i think of the difficult question my
1:03:42bottom line in period
1:03:44training and then all empowering more people they can hold the various factors account
1:03:57i have a eyeliner software company that is working on
1:04:06problem
1:04:08you think
1:04:09the
1:04:13i don't think about i five minute one
1:04:21and so on
1:04:24so i think about you know that
1:04:31so
1:04:34i do
1:04:36they are now we apply
1:04:43you're right ear
1:04:47we study the whole
1:04:53you know
1:04:57i feel really we make use of the in the program
1:05:04five
1:05:06from three that unity
1:05:12really
1:05:14we could not be
1:05:16i met
1:05:18so far more and i met
1:05:26where all the way
1:05:29really
1:05:32for now coming in is only one
1:05:37so that we can be well for you i make
1:05:50only tone
1:05:52no i completely agree i mean at the question that really of what with the
1:05:56curriculum like but you know and are doing and the quickly on that we can
1:06:00use it very professional and you are thinking about the differences actually need and how
1:06:06you would actually go about making the different the more to
1:06:08you know you're structure of the land or something and their system like i think
1:06:13you know maybe the optimal power button in the whole another story because
1:06:18a you know typically have to
1:06:20if for all the information because they never know they're gonna be working and are
1:06:24they
1:06:25that like another issue altogether of a you think it is something then you are
1:06:29at the beginning the right now you know we're at the help redesign it paid
1:06:34for which is kind of the four
1:06:36they the training within common career when they're of apparent
1:06:40and you know very tight about apple we are actually training of the belief that
1:06:43you know what the great that were paid for but even when they do need
1:06:47that much of the morning the if not more because the something
1:06:51i in table one may be you know the people are coming in the goal
1:06:55and during the training at that they have kind of you met clear trained a
1:06:59few like when you're training than that of the field belong back for another one
1:07:03like that
1:07:04but if you can start incorporating dependable than the analytical thinking and in how the
1:07:09decision need you need to get k the
1:07:11and you know have great impact on the long run to that you know once
1:07:15again that the long term and let them and consonant
1:07:19let them think about what this work on if you like to actually make it
1:07:22attractive
1:07:23you know anyone have a and all those refine it every happy you know the
1:07:27make sure that it really doesn't look at the end of one of the thing
1:07:31that we have highlighted that you know but not working if we find that you
1:07:35know
1:07:35three years now you know we have the same questions about the end of arcane
1:07:39running your well as you know them are quite right and whether we kind of
1:07:43the needle at all
1:07:45you know i met and i think that there probably whatever one invited become in
1:07:49proc evident that within you know every time they we shall begin it in the
1:07:53rear idea like every ten
1:07:55you know i think there there's much more
1:07:58reasonably that they would say i like at that point though
1:08:02i think the question what become the long-term outcome that are you know
1:08:06the behavioral data that we rather than you know that kind of can you regard
1:08:10that are like everything data and government
1:08:14but i think we allowed value exactly the hoc on the actually and will be
1:08:18in the league over time happened the you know even within which have
1:08:23it right under the end you know again how active
1:08:25the correct on trend being actually hoping improving
1:08:32and the lower learning there are usually call i think i this is kind of
1:08:49thing a
1:08:51and so you know for the i work pretty well you
1:09:01but and think i may be culturally
1:09:09we were able you met your about
1:09:14but you hear that they relate well i don't look at the on the larry
1:09:31hearing
1:09:33i i'm but variable rate
1:09:38i'm wondering if the data
1:09:44for sure everybody may be and you document that you
1:09:53one thing happening
1:09:57okay well that you know that what we will be okay well i
1:10:12that a lot like and i know that are likely to predict on the you
1:10:17know their value for money group and you have to be just apply every
1:10:22you know every problem that you have we have a problem like evidence
1:10:25report on it and make sure that there is value in what the reader they
1:10:30about it or the thing
1:10:32i think i we can clearly that we can at the end of our time
1:10:36here for the beaker program have a paltry dialogue on the original form and thinking
1:10:42through the independently what we have
1:10:45a dialogue on that and then also implement the government challenges in get that from
1:10:50the according to like you really need the structure of these organisations the make them
1:10:53more active
1:10:54i think the i and i completely i think that would be wonderful we can
1:10:58actually put that on the table i think that
1:11:00something here that really applied under the radar by something continued iteratively also have been
1:11:07talking about trying to do you just a general i'm a workshop with you know
1:11:11level digital talking about what really broken because
1:11:16their dignity very well and you know that of course there are a lot of
1:11:19program are completely kind of anger and how they're actually functioning but in time the
1:11:24worst a period you know if you look around you heard the a lot of
1:11:27similar kind of impending failures in the
1:11:30and it means that anything the corner
1:11:34related to the curb or culture kind of corruption in european i wanted
1:11:38their intended to people to keep a template than that of actually trying to quite
1:11:41tend to the generally whether break or you know or more probably for how program
1:11:48function and rather than a to do that because
1:11:51you can gain from
1:11:53you know manipulating the domain kind of you know getting as much as possible in
1:11:57making a complicated audible and you can get you know in and out in that
1:12:01directly from it so
1:12:02and you know the paper promotion
1:12:04you know quite a different or even if they it on metric than actually using
1:12:10incorporated and have it i mean that would be completely different
1:12:13all the anything of a great you can like that
1:12:16i think that we are able to i think well why data qualitative one or
1:12:30more data is like a remote may be
1:12:38all
1:12:39the old one back
1:12:43a lot a lot of data information in there are people make that we really
1:12:51data and then later that it you know what would be
1:13:00and finally
1:13:03well there may well i you know you may be you problem
1:13:10in other words that we can draw here with the right answer
1:13:15and
1:13:17how well the problem and i'm fine i will really are all l r o
1:13:28one or more that the that you
1:13:34you know i for the
1:13:38b
1:13:39there are about one well probably i you know
1:13:49we then
1:13:53so kind of related to data for that can actually be from the based on
1:13:59time i think i'm from either a primarily recording quantitative data but actually you know
1:14:04from the work of mentally ill program
1:14:07they collect whatever rhythm and fairly common here and in the they collect a maybe
1:14:11of information that people have somehow including technical writing and then put into a pdf
1:14:15and then and then
1:14:18governmental somehow along the way the you know like either
1:14:20something to do it privately and making sure you know a month buying the negative
1:14:24the m-th on it you know
1:14:26and that they have of the region i'm of it but you know the number
1:14:31one and trying to actually you know all that information in there are programs or
1:14:35that you that and that we
1:14:38have been doing so far for it
1:14:41the day anything clicking and the grand ideas about the data and actually that rated
1:14:46either be that talking about one that and hereby by but probably very small like
1:14:51data
1:14:52i and you know right involving contrary you know that they are programmable development and
1:14:58you know on emerging economy that actually very large italy
1:15:01that we are thinking a lot about how they had actually you don't need not
1:15:05actively at the point we're just getting you know that are done you the data
1:15:09i think we're all continue thinking about well
1:15:13using more like big data analytic technique in the feature that actually in either that
1:15:17information
1:15:19but part of the one we kind of come to that you think it and
1:15:22how we're gonna you know a big data you know
1:15:24we have to lack of it because the quality of the data that is really
1:15:28not a good
1:15:29so on you know talking back and thinking about how clean data are you with
1:15:33that when it you know that for quality and in part of what we're doing
1:15:37the data they look at the light other people you know everyone of the data
1:15:41is not that good the lip what you know what so what the data actually
1:15:45shows that people can think that and like and
1:15:48you know hopefully there really more vocal than to improve the quality of the data
1:15:53and then goodness that a little or went on your evident in one
1:15:59no i think i think you're exactly right
1:16:01ideal a lot of politics vectors really come down and ethical or you know the
1:16:06final evaluation
1:16:08it will lie in wait what you valiant tidy anything you know in the right
1:16:11now with the great example of a program that
1:16:15you know a lot of what we talk about from the problem in is driven
1:16:18and that my are the l you know that there are quite work for everyone
1:16:21you know what typically in that it actually you leave and all that
1:16:25and i think our ideas that
1:16:27whatever happened to be more than one by evidence that the point nine
1:16:31and so people they have the be all the other people they evident one all
1:16:35the i think everything one all you probably the more appropriate way described in the
1:16:41end you have to make value right and someone judgement will you know right now
1:16:47and the end of the question of how we actually make
1:16:51and then again you know thinking through the model that we're that we've been training
1:16:56on one of them is
1:16:57you know
1:16:57thinking about what a value judgement actually are important one hand
1:17:02is it that you really you think you know
1:17:05people to have a minimum level they're guarantee
1:17:09and you know why you think that how much you that you all the fact
1:17:11that question you know a lot of the things are kind of input that the
1:17:14function
1:17:16and you know people argue that for kind of growing number of the done whatever
1:17:20there but the function is the more time they okay what in that accompany you
1:17:23haven't played what is operational real
1:17:26into being a little bit more may be interpreted about what that would actually be
1:17:30we're trying to put
1:17:35she
1:17:43at their here or o and
1:17:52where e
1:17:55and
1:18:00or not
1:18:07one for all right
1:18:15or three well o then we have over
1:18:26we have no you know
1:18:34i work are
1:18:38you know why me why you know
1:18:49i
1:18:55are you know me
1:19:00you know because i mean that but well i think one you know someone who
1:19:11are reader i really structure
1:19:17you know that you know what are you for all the way back
1:19:30one thing with three
1:19:35okay you think that i think about
1:19:42the by the four
1:19:45in addition and completely right here
1:19:51you know
1:19:55and i think all over a very challenging issue
1:20:00you know i think
1:20:01my perspective about weighted right of the
1:20:05it can be time to
1:20:07and i'm one that got are they not within the program that are not with
1:20:11the particular person but pushing or you know if you can within whatever are unclear
1:20:16contact working in for people can be
1:20:18you know
1:20:19actually engaging and you know that they along you know what they're very what the
1:20:23other than a but then again i don't have a bunch of money that moment
1:20:26thank you know
1:20:27are you know again trying to find that the big problem though or you know
1:20:30they're not by the company for the big problem i think and unweighted helpful for
1:20:34me that i don't have any that
1:20:36you know and twenty and one thing that we i know in one problem with
1:20:39that of and that the united kingdom ministry of eighty were running and are either
1:20:45in a okay that i running your you know reading random i but make sure
1:20:49my the trick and the treatment group
1:20:51you know like those of the compromise i think it is often there were no
1:20:55you know i do the renovation and i what the first thing i looked at
1:20:58what we you know cleveland the between the direct link or you know what we
1:21:02now have that conversation but no i mean i think
1:21:05you know this it is are you know that the called as well
1:21:09i don't have a greater one for that
1:21:36the related question the government and work actually figure out command will of the how
1:21:42they can actually pay target vector way to the point data out that and they
1:21:46can do it like they're kind of created equal
1:21:49you understand way to work around them and somehow i mean in the they believe
1:21:55you have d
1:21:56paper while the work and you know in their literal like reg on like red
1:22:00tape
1:22:01on than and though you have to know how the couple of while appropriately to
1:22:05get the right of approval you know couple it went down so that you never
1:22:09gonna prove that you know whatever the
1:22:11so you know that i know what we've done in the point so right now
1:22:15work finding someone from the private sector at all the private sector way to
1:22:20for the than ideally we could have grouped in the future would be a you
1:22:25know how people in it but at the point you know we're still trying to
1:22:28figure out what the way to do that because
1:22:30the other issue is that if we in particular or you know we have done
1:22:34for the product of between l and the government the private sector
1:22:38you know then the way to kind of thinking about in out of a you
1:22:42know in how the data
1:22:44look from the analytic fighter what the what the question really v can kind of
1:22:48people are because i think a lot of what the private sector are often and
1:22:52the training and it had a more than one hold on the board okay what
1:22:55working white with black people and not really having
1:22:58you know then talent on how we actually be appropriately so anything there certainly a
1:23:04lot of the private sector where you know we're trying to think about
1:23:07how to
1:23:08how do you that moving forward in order to what the government for a while
1:23:17o l
1:23:19you met
1:23:22i think you think you were during the morning for you might bite rate which
1:23:26you you're speech and then please book read all of what you know or questions
1:23:31or comments
1:23:35they
1:23:48english
1:23:50no
1:24:01the
1:24:04say
1:24:06one