Dodgers won. That one, this wasn't what I was supposed to say. An insult to injury. Wasn't it a baseball season? Dodgers won the World Series.  It's up here with Dodgers and Paulson Instagram. Twitter for more juicy content. It's so juicy. They're the biggest chokers in the history of baseball other than the Boston Red Sox. Well, they didn't choke this year. This wasn't a real season. My god. You want me to go off on how this was? I didn't watch one baseball game this season because it was a joke. No one cares. And today we are going to be reacting to a video of Corbin dancing naked. Types of God. This is a, I think it's the same one that explained rock that I could be wrong. I think it's types of Indian musical instruments. And it's the same. I think so. I could be wrong. Okay. Anyway, that's awesome. That's the one that explained rock. She was wonderful. You can tell me if I'm wrong. You're wrong. Yes, sir. It's her, right? Yeah. Yay. Yeah. She was such a great teacher. And so this is an Indian musical instrument. Awesome. Types of classification. Sweet.  This is fun. Here we go. Hey everybody and welcome to this episode of Indian Music Fact Files with me Anu Jakama. I have observed that when it comes to Indian classical music people are likely to attend instrumental concerts rather than vocal concerts. For this reason, I have planned to dedicate this episode of mine to the beautiful world of Indian music instruments. Well, there are many, many, many Indian music instruments and if I introduce you to each one of them I think it'll take me ages to do so. And we need to end this episode somewhere, right? So I will be introducing you all to those instruments which you are likely to come across frequently She could say. And I'm going to murder your family tonight and you'd be smiling with us. Very cool. Very well compared. Let's move on to understanding the types of Indian music instruments and their classification. A musical instrument can be classified into various types. But in case of Indian music, the most accepted classification is the one proposed by Rishi Bharat who mentions four categories of instruments. The first one being kandu vadya. These are the instruments having strings. In western music, they are called chordophones. Can you identify the sound? I've heard of it. It is the sound of attanura which is a drone instrument in Indian classical music. It is only an accompanying instrument that is, it cannot be played for a solo performance. Further, the tantu vadya can be categorized into tatavadya or nakhaj vadya meaning instruments played with the help of fingernails. Popular examples of tatavadya are instruments having frets like veena. So if you consider it as frets, it's played with the fingernails? And sitar. There are also instruments without frets like sarod. Okay, there you go. Of tantu vadya are vithat vadya or string instruments played with a bow. Popular examples of these are sarangi. And I think we've seen every one of these instruments in a Tosharlal video. And violin. Played without being plucked by the fingers, plucked by the nails or without the help of a bow. Yes indeed. Hammers. Like hammer dulcimer. It was the sound of santur which is a string instrument played by striking the strings with a spoon-shaped hammer. The second major category is that of sushel vadya or the wind instruments. In western music, they are called aerophones. This was the sound of a shank or a conch which is a natural sushir vadya. The most popular mouth-blown sushir vadya is the basuri. Without reeds, there is also the shahnai. It is a mouth-blown sushir vadya with reeds. With time, there emerged a new category of sushir vadya which used bellows to glow air mechanically to produce sound. The prime example of this is a harmonium. The third major category of instruments is avanad vadya or charmaj vadya. They are called as drums or membrophones according to western music. They contain a layer of animal skin which helps in sound production. Some avanad vadya are played by using palms and fingers. Example, karnatic instruments like bridangam tabla. The next one is somewhere in there. And khanjeera. The instruments like pakhavach played by striking the skin with sticks or hammers. For example, the tsoughada. They are called idiophones according to western music. The body of these instruments is made of a solid material like metal, clay or wood. They do not need further tuning. Most of them are used as side rhythm instruments. Prime examples of these instruments are karnatic instruments like ghatam. Morsi. It's not that instrument but it's comparable. Manjeera. Kartal. Stapelis. If you observe, you'll notice that the melodic instruments fall in the category of either dandu vadya or sushya vadya. While the rhythmic instruments fall in the category of either avanad vadya or ghanavadya. You might also ask, what about the instruments like synthesizer and electronic tanpura and tabla? Well, we could classify them into the category of electronic instruments. I'm sure if Rishi Bharat would have been present today, he would have done the same. Oh, yeah. One, now that you know about the types, the classification, the sounds of some Indian music instruments, let me tell you a quick fact. Did you know, during the ancient times, the term Veena was used to refer to all melodic instruments. The human voice too was considered a type of Veena and was called Ghatra Veena, meaning bodily Veena or Dayini Veena, meaning God gifted Veena. Okay, so that's it for today. I hope you like this video and it was informative enough for those who are looking out for some more information on the topic of Indian music instruments, you can refer to my blog. I have shared the link of my blog in the description area under this video. Well, if you appreciate my effort, then please do like, comment and share the video and do subscribe to my channel. I wish to see you all in my coming episodes. Till then, peace be with you. I like her videos. Yep, very educational. And entertaining, stay engaged. One, most of all, I was animated. So that's doubly impressive that she was able to, I don't know if she hired somebody or if she did it herself, but it was very good animation. Very good. And it was really cool that not only, well, all that we learned, but we knew most of the instruments. Yeah, we've been exposed to the majority of those for the two years. We've been exposed to, or at least, like obviously I wouldn't know the name. No, well, I can recognize the sound of it. Yeah. Like, I don't know what sound this gun makes when it, like when, like, I messed it up already. It's all right. No, the sound it makes when it kills somebody or something like that. It's from online, from like a, what's it from? I think it's from like a, what's it's face? Eastwood. Yeah, I love that you, what's the face? My god, it is. Yeah, you know what it is. That was really cool though. I really enjoyed that. Very educational. I enjoyed her videos. You know what I didn't know prior to us reacting to things? And this is coming from somebody who grew up with music and is a musician. I didn't realize there were so many instruments in Indian music. Yeah. Really did think it was as simple as just like versions of a sitar, versions of a tabla and things. Makes sense though, obviously. The world's oldest culture. Yeah. And music has been around since the beginning of humans. Yeah. And I guess some animals. And I know, we just scratched barely a fingernail clipping of the surface of the whole body of what the instrumentation is that's available in India. They have a lot of instruments. Remember the one we reacted to where everything was made out of clay? Mm-hmm. And like they can break. And there's the ones with the glasses and the cups all over. Yeah, we didn't. I think that video got blocked. I don't think it's ever saw the chain. That's a shame. We did a video, I forget which, it was one where he was playing the... They were, for lack of a term, there were little cups, but they were made of clay and they were talking about the process and how they have to dry. It's weird what videos get blocked. Yeah, it really is. Why wouldn't you want that to be seen? That was just a video about a guy explaining his instrument. Yeah, that we'd never seen, that I think Tashara is the one who turned us on to that. Yeah. And it got blocked. Yep. Anyway. Shows you. Great. Let us know other videos of hers that we can react to down below.


That's the theme from the Sears radio theater tonight a program of mystery with Vincent Price as your host Here's a preview. It's a perfect plan. What can go wrong? Hey, don't try to involve me in this You are a genius Toby. You've got the mind of a master cleaner. I was just making a game How much you figured old ladies worth five six million what we see set up for life I wasn't serious the Sears radio theater will begin after this message from your local station He said that opposites attract well, we won't dispute that in fact our story concerns two friends who at first glance seem quite unalike Toby McVeigh is a plumber with his own small business He does quite well not perhaps as well as we sometimes think plumbers do but well enough nonetheless He works hard which is more than can be said for his friend iron Smith Even to be kind about it.  I'm on my way to a job Take the afternoon off matter of fact. I could use an assistant. You want to make a little money The plumbers help her no way Search yourself.  You think like an honest man, which is very unimaginative I can think like a crook if I want I just don't care to act like one No on the face of it. Toby and iron seemed like opposites But there must have been some mutual spark of recognition that first drew them together the question was Who was going to convert whom and that's only the beginning of our story It's an exceptional entertainment every week brought to you in Elliott Lewis production of the Sears Radio Theater Our story the ransom by Percy Granger our stars Lerene Tuttle Stephen Markle and Vic Perron The Sears Radio Theater is brought to you by Sears Robux and Company Sears where America shops for value Had lived his whole life in the shadow of great wealth He was a local tradesman in the Westchester community Like most of us he considered himself to be hard-working and honest He took for granted that his life would never rise to any Profoundly dramatic dimensions He knew his place in the great scheme of things and because he presumed to know himself so well He took his envy of the rich in strife He was naturally above temptation so it hardly bothered him when he speculated Idly of course on Fantastic ways he might improve his luck. This is one hefty piece of real estate Must be a quarter mile from the main road to the front of the house little owner on the back Yes, you were mr. Carson the butler. I am Toby McVeigh the plumber you called me We did come in. Did you park your truck down the drive out of sight of the house as we asked? Yep? Sorry about that. This is the policy seems to have been a version to anything to remind you. We're living in the 20th century Don't we all sometimes this way I Did some digs she collects iron, huh? They all do The problem is in the basement down here work for the old dame long only two months so far That's a record. I hear she's not easy to work for it not since her husband died left her all alone It's a person who made I feel sorry for Mississippi porphy has a sleep in the room next to hers and every night at one o'clock She gets her up to bring your glass of warm milk Even the rich have trouble sleeping Hey, the odd thing is this would be Paul who probably wouldn't wake up at all So she sets her alarm to make sure she does like a ritual who knows Well, here it is leaking pipe You can see I tried to patch it myself without much success doesn't this is to power free have a regimen of handyman around Is it that kind of thing now that she's alone is only me a maid and a cook. Hmm. Oh, I'll need to shut off the water The valves are over here Which part of the house is just going to affect with a bathroom from the second floor The cook's room is on the top floor, and I have my quarters in another part of the basement here No, you better tell the ladies the water will be out for almost a half hour. Very well That's kind of hot down here. You mind if I crack a window? You might just just be sure to close it when you're finished Finished not exactly I made a temporary patch for that pipe, but the whole section ought to be replaced in fact She could probably do with a whole new set of pipes and those look like they arrive with a creation You want to clear that with the old baby? Oh, you just go ahead and order it. She'll take your word I'll take a couple of days to order the pipe. I'll call you when it comes in How much do we owe you for this visit? $20, but you can pay me when I miss it to Paul if he'd like to pay all for bills immediately Another ritual. Oh, there you go. That's quite a wad. She gives you to carry around petty cash That's the whole order and when will I get it? Okay, thanks. Hi, it's Toby. Oh, hello, aren't you managed to keep out of trouble today? I just ran three straight racks against some rich kid from the local prep school who thought he could hustle me Your daddy probably bought him a pool table last month. My kid thinks he's an expert. Yes, where I've just been Out of the depulterate Wow, I Wonder how much that name's worth You know, it's a fact that most of the richest people in this country are women widows and stuff like that Well, I'm the brakes. What's uh, what's you gonna charge her? I think I'd charge anyone else. Oh, come on charge your double She won't know the difference. I couldn't do that. Why not? Well, why should I it isn't right? You know Toby, that's your problem and that's why you'll never get anywhere in this world Yeah, and what do you do except pass a few bad checks and get arrested every three months How much you make for that house call 20 dollars, so I made 200 hustling that kid Oh, I never said I was a hero. We just all got our own way of doing things. You know, you don't know yourself Well, my way takes a certain amount of the initiative that's all I know No, I did something kind of funny while I was there. Oh, what I was working in the basement and I opened the window So but I didn't close it when I finished I left it open. You forgot. No I left it open on purpose. Why? I don't know But the other funny thing is I told the butler I wanted to open it because I was hot But that wasn't hot at all. So what were you thinking? Nothing. I didn't have anything on my mind So why did I do it? We really know ourselves What we are capable of and what we might do in certain tempting situations How often do we think one way and act another As if our subconscious mind were saying this is the real me So you didn't watch the basement window. Why not? I don't know The butler told me something, but I didn't really think about it Well, what did he tell you? Well, he said there were only three servants in the entire house Oh, yeah, that's all Anyway, I just did it. I guess it gives me a little buzz or something just knowing that window's still open Thanks for the tip, pal I don't know Well, what are you kidding me? It sounds perfect She's a big art collector, ain't she? The stuff in that house must be what I meant Oh, what can you take out through a basement window? Plenty But the butler knows who opened it. I'll be the first person the police come to And if you think I'm taking her out Relax, Toby.  Me Two guys can carry twice as much loot as one I'm not a thief Well, who's gonna know? I got fences that'll take the stuff off our hands for cold cash Nah, I got a better plan Yeah? Sure. Stealing art objects and silverware is no good. It's too bulky. It can be traced So, what would you take? Mrs. DePaul-free You a lady? Sure. You mean kidnapped? And hold her for ransom Yeah, yeah, yeah. Well, that is crazy. That's a major offense Sure, but it pays top dollar So, how would you do it? I was thinking about it on the way back to the shop I worked out a whole plan In the first place, there are no gardeners, no security people and the front gate is broken and they leave it open We can just drive right in There's a stand of trees just inside that I haven't noticed since I was driving away We could park the car in there and no one would see it You were faking all this out? Now, there are only four people in the entire house, right? The butler sleeps in the basement The cook sleeps on the top floor The maid sleeps in the room next to Mrs. DePaul-free's on the second floor So she's the only one we'd have to worry about Ah, but nobody gets away with kidnapping I could I'd take up to my cabinet, Mohawk Mountain And then I hit the family fat for the ransom while a shock of it still hasn't scared And they don't want any trouble, no cops or anything, so they pay I release the old lady, no one gets hurt Now that's pretty good, wise guy, except for one thing What's your alibi? The cops are bound to question everybody who's been to the house recently That's the best part of the whole plan I have worked at a foolproof alibi Carson told me that every night Mrs. DePaul-free sets her alarm for one o'clock Rings for the maid and has her bring her a glass of warm milk Well, what'd she do that for? Who knows? The rich are different So anyway, I'd sneak into the house around midnight, see? Yeah Go up to Mrs. DePaul-free's bedroom and shut off the alarm Then I would take off Without the old lady, I'd make the rounds of all the usual bars we hit at night Get good and seen by everyone, then go back to the house a couple hours later Make off with the dame and presto The next morning the maid will tell the police the kidnapping must have happened before one Because the old lady never woke her for her milk And before one, you were on display at every bar in town Clever It's not bad for an amateur, not bad So you want to do it tonight? I was just putting you on It's a perfect plan, what can go wrong?  Five, six million? What? We'd be set up for life I wasn't serious Yeah?  Hey, Toby, another draft? Toby Oh, yeah, yeah, sure, Pete Anything wrong here?  What about it? Well, nothing I was just making an observation I have every use now Oh, Pete, do you want to grab the rent? No, thanks, Pete Not tonight No, please You must be on a something big No, no All right, give me a draft You see, Toby, it's very important We make like everything's normal Here you go Excuse me Well, what happened? Did you get in all right? Was the window still open? No problem The alarm's turned off So? So, you see how easy it is? I'm back safe and sound Phase one completed Now, are you in this with me? One million? Maybe two? Maybe more? Okay, let's do it You see, Toby There she is Our ticket to Easy Street Sleep and peaceful is the day she was born Yeah How are we going to get her out of here?  Oh, look, she's storage Who's there? Don't move Don't look We got guns Wait, you hold her Excuse me, just grab her Am I being kidnapped? That's right, lady But wait, just a minute now Let me tell you something Hold her, will you? Listen to me Let me tell you something Okay, let's get her out of here Land the perfect crime It all looked so easy Well, as it turned out That was precisely the problem It was even easier than they thought And now they are sitting in Toby's car At his cabin in the Connecticut Hills Staring with open mouths At their hostage Is she still breathing? Of course she is We'll put the blindfold on her Before she comes too Before we take her in Yeah It ought to be tight enough Easy, easy, don't cut off her circulation Relax We're here Oh We're coming around Oh, here I just thought of something Names We've got to have names for each other You can't hear our real names What? Oh, I can't think of any Mud and Jeff, okay? Mud and Jeff Where am I? Oh It ain't gonna do any good to scream, lady Oh Oh, I was right I've been kidnapped Jeff, I just thought of something else How much we're gonna ask for I don't know A million We'll make it two, huh? Have you taken me a long way from my home? Maybe Maybe not Oh, that's too bad I could have saved you a lot of trouble Yeah, sure Lady We want two million dollars ransom And don't try to tell if you're broke No, no, that's what I was trying to say Before you're not out All my money's in my house What? In fact, it's all in my bedroom Your bedroom? There's seven million dollars in parts Not ten feet from where I was sleeping Why didn't you say so? I tried to But you pushed that claw form in my face What's the money doing there? I don't trust banks My third and fifth husbands were bankers That's the silliest thing I ever heard Banks are perfectly safe I certainly wouldn't try to rob one Oh, look, the fact is that's where it is And now we've got to figure out how to get it Well, it's all there Seven million dollars Unless you intend to kill me, please You're welcome to some of it Just where is it? I told you in my bedroom Where in your bedroom? Where? What does it do if I tell you? Oh, well, once we have the money, man, we'll let you go What assurances do I have of that? Hey, who's asking who for assurances? It's a two-way street Why, I ought to... Mark, pick it easy Mark? Oh, who? Don't tell me it's your partner's name, Jeff Yes, ma'am That's what you can call us Oh, how wonderful Every thought I'd be kidnapped by muttons Yes In that case, I'm sure I can trust a word The money is in the back of my closet What's it in? Some kind of safe?  No, both things Come on, let's get her inside and tie her up and then we'll figure out how we're going to get to that cash That should do it Oh, oh, how's the circulation, Mr. Palfrey? That rope isn't too tight, is it? Thank you It's all right, Jeff Okay, first question Who do we contact? Who can we call to get us the money? I have no idea Somebody in your family? Oh, I wouldn't bust with them My children are ungrateful and incompetent Besides, I'm not even sure where they're living We never keep in touch What about your butler, Mr. Karsten? I wouldn't trust him as far as I could throw him He's been with me less than two months and already things have started disappearing In fact, I'm surprised he's not in all this Well, there has to be someone we can call A lawyer? Yes, well, his name is Richard Montgomery But frankly, I don't see what he'll be able to do Well, he isn't trustworthy either Oh, no, he's perfectly honest But that isn't a point Once he's discovered that I've been kidnapped there will be police all around my house How could anyone smuggle up two million dollars in cash?  That could be converted to cash Yes, I have a very healthy portfolio But once they discover I'm gone a district attorney will freeze all my assets How do you know so much about all this? I can't even imagine kidnapping is the occupational hazard of the rich It's happened to some many of my best friends freezing assets so a ransom cannot be paid except under police surveillance is standard procedure So what are we supposed to do? I don't know But boys, believe me, I'm on your side Anything I can do to help, please let me know This is all very convenient for you, isn't it? You mean to tell me seven million in cash you're sitting there in garbage bags and there's no way we can get at it? I'm sure you will think of something much Hey, I got an idea Let's come into the other room Maybe I can get back into the house How? I'll tell the cops I'm the plumber I'm doing a job I need to check the pipes in the upstairs bathrooms to see if they need to be replaced, too That'll get me into a room If the money's really there I can smuggle out my toolkit Our kidnapper goes back to the house to pick up his own ransom money Who ever heard of such a thing? That's just it Whoever did It just might work, eh? What? Oh, hi Are you Captain Driver? Yeah Your man down by the road said I should talk to you I'm Toby McBae I'm doing some plumbing work for Mrs. DePaulford Oh, yeah, we've been looking for you You have? Well, I've been out on calls all morning What's going on here anyway? There's cops all over the place Looks like the old lady may have been kidnapped last night Kidnapped? Really? There hasn't been any contact yet for ransom money but I expect that's coming soon enough Wow I certainly hope Mrs. DePaulford is all right I'd like to ask you a couple questions if I can Sure Mr. Carson says you were here yesterday, right? Yeah, I was working down in the basement Mr. Carson? Yes, sir Is this the man who was here yesterday morning? Yes, for about a half hour Here's Captain Yeah, Sergeant We checked the whole house top to bottom There's no clue how the kidnappers might have gotten him Well, just a minute, Captain Mr. McBae The window you opened in the basement Did you shot it when you left? You opened the window? Yes, sir, but I shot it Sergeant We checked the basement window They were all locked Okay, it's all for now, Mr. McBae but keep yourself available for further questioning Oh, thanks, Captain But, you see, I came here on the job I gotta take some measurements in the second-story passage for pipes that need replacing I'm afraid it'll have to wait Wait? Not letting anyone in the house until we get some kind of a break on the case But why not? What possible difference can there be? It's a matter of procedure Mr. McBae But those pipes, they're pretty old They really ought to be fixed Why are you so anxious to get into the house? I wouldn't worry about it As long as Mrs. DePaul free is missing, she won't be using her bathroom, will she? But... Good day, Mr. McBae No luck They wouldn't let me go inside Why not? Another guy in charge of the investigation's a pill Where in the hell did that leave us? When you were gone I called her lawyer She was right They've frozen her assets Our only chance is to get at that money in her bedroom This is the most unbelievable situation I ever heard of How's the old lady? Oh, she's fine I'm the one that's a wreck She talks constantly about horse shows and garden shows and dog shows I tell you I'm ready to strangle her call it murder and be done with her Oh, you haven't done anything? No? No, I haven't Mrs. DePaul free Oh, you're back I'm afraid I've been going here practicing here with all sorts of nonsensical prattles But when one is blindfolded it has an emetic effect on the tongue Yeah, yeah, you see what I mean? She just don't stop and relax I am?   I didn't hear a thing I didn't Now she knows my name too So? Well, that makes us even But she knows who we are If we let her go That's right So, what do you think, Toby? You were capable of kidnapping You think you're capable of murder? What? Yes My lips are serious Iron, come back into the other room This is a real problem Yeah And I don't like problems We got no choice now We'll have to kill her No, relax We'll get the money first No, there was going to be no violence We agreed on that Well, the situation has changed And we've got to improvise All right, all right But I've got a better idea Let's hear it Okay, now, this is how I figure it The only way we can get to her money Is to get into the house And the house is under constant police surveillance Right The only way to get into the house Is to get rid of the cops And the only way to get rid of the cops Is to let Mrs. DePaul free go What? It's our best hope Are you crazy? As soon as you let her go She'll tell her cops her name Not necessarily Well, what's going to stop her? Listen Where are you going? Back to enter into a little negotiation With our prisoner Negotiation?  Well, she'd have to give us her promise Of course Promise? Toby, we kidnapped her And now you're saying We should let her go If she promises to bring her some money And not only that She knows who we are There's no way we can let her go Well, there might be a way, you know If the alternative is best Well, of course She'll agree to anything While we got her tied up in there But once she's free She'll go back on her words I don't think so You see, iron You've got to understand Who we're dealing with here This is a person of class Refinement She's also a sportswoman And I happen to know by word of mouth That she's quite a poker player too Now, with someone like that Their word is their bond It's a matter of pride And if she'll give us her word I'm going to bet she'll keep it Just let me put the proposition to her In my own way And see what she says But, yes Is that you? Yes Well, what have you decided to do? Well I've already forgotten Listen to her Listen to her, you see She's lying right now Ma'am I've got a proposition to make to you What? Well We're all free In a kind of unusual situation Here at the moment, aren't we? Well, the way I see it It's a no-win proposition For all of us On the one hand We can't get your money As long as we hold you hostage And on the other hand Even if we got the money We couldn't let you go alive Because you know our name Yes, that's right Now Your average kidnappers Do you panic Do you indispose of the body And go on back about their daily business Like nothing had happened But you are lucky enough To have kidnappers Who appreciate the shortcomings In that plan We wouldn't be any richer You'd be thin So my idea is very simple Let's make a deal What sort of a deal?  Unharmed Your life In exchange for the ransom It's still your basic kidnapping principle Let's put it this way, Mrs. DePaul-Free We're like two hostile nations Facing each other With our respective fingers Hovering over our respective Big red panic buttons So what I'm proposing we do Is count to three And both take our fingers away At the same time It involves a certain mutual trust But this way We all come out ahead The other way we don't You say that's how you see it What about your friend? He's ready to blow your head off That's right I see Personally, I think my plan Makes more sense But how do you know I won't go to the police? If you give us your word of honor We're prepared to accept that I'm full of docs Plus, switch If you try any funny stuff I got friends who'll do me a favor Even if I happen to be in jail Well, that rather takes the honor out of it But I get the general idea So what do you say? Well, since the alternative is this I obviously agree Good But just one thing I cannot in good conscience Give you the full amount of the ransom you asked for After all of your common criminals No life with rats No, I most certainly cannot let this go Without butter On the other hand I do put a certain value on my life But consider for a moment We are speaking of an exchange And it stands to reason That the two items being exchanged Should be of commensurate value Now, if I were a young woman With a lion's share of my life in front of me I might be willing to consider it worth The two million you asked for But gentlemen I am 86 years old What am I getting for my ransom money? Three may be four good years at most And the rest Gives valued by Sanity Therefore I can't really see paying you Anything more than a hundred thousand A lousy hundred grand? Or at peanuts? It's a hundred thousand more than you had When you brought me here Oh, you are in no position to be making deals Oh, but that's just it, aren't you? Yes And a hundred thousand cold cash tax Free split two ways As an improvement over the scenery as they say High movie except No, not reasonable It's a princely sum for two days work What's the alternative to become a murderer? And to come away empty handed altogether? Think of your professional pride When did you ever do something for nothing? Okay, okay Good Uh, Mrs. DePoffery with your indulgence We'll leave the blindfold in place until we let you go It'll make it easier for you to stick to your story That you can't identify it Thank you I'll consider it Just around the next time We'll remove the blindfold If you can get out of the car with your eyes closed Yes, I think so Okay Matt, open the door And now, Mrs. DePoffery You're a free woman Once you're out of the car Open your eyes and walk straight ahead without looking back Very well You got your story straight Yes I was kidnapped and taken out on a boat into the sound After several hours they brought me back to shore And released me I was blindfolded the entire time And I never heard them speak a word I saw and heard nothing that could identify them And I have no idea why they let me go I feel like I'm still in that cold feet Oh, the cops will think we're a couple of cowards Sticks and stones, Matt Sticks and stones Just remember, lady, any funny stuff and Well, I'm pretty good at funny stuff, too Yes, Matt, I'm sure you are May I go now?  I think it is Mr. DePoffery, you all right? Oh, in the peace office Well, what happened? I was kidnapped How'd you get free?  Wait, now, before either of you speak Let me guess, which one of you is mutt And which one is yes Well, that's not hard The one with the teeth missing And the permanent scowl is obviously mutt And you, Mr. McBain, are yes Are you alone? Hey, Ty I told the police the story we agreed on And I spoke to it In fact, if you're interested There's a latest ambition of the paper It has the entire story Well, see, widow's abduction of mystery At this very moment, the police are down at the marina Checking out everyone who owns the boat Well, at least as if you've kept to our bargain So, where is the money? Well, now, that's what we have to talk about I thought it over And I really don't see how I can honor That part of our bargain What do you mean? I'm a woman of my word, it's cool But I was forced to make that deal under duress And I think that excuses me for my obligation, don't you? Anyway, I've decided not to give you a sentence You told the com- Oh, no, no, that much of the bargain not kept What I'm saying is I am prepared to forget the whole business Well, gentlemen, goodbye Uh, just a minute, just a minute You're not going anywhere You think you can double-cross us like that And get away with it Maybe you didn't think I was serious But I got a gun here And I'm going to blow those last three or four years Right out of your spindly frame Oh, no Oh, let him go, I said, Mr. McVeigh As a matter of fact If you want the money, I promised you This is the one way you'll get it Look, what do you mean? I was quite certain Iron was serious about doing the mission If I didn't give you the money And I didn't see the notion of spending my last few remaining years Looking over my shoulder So, before I came here I took a certain precaution I went by an insurance office And took out a life insurance policy For a hundred thousand dollars Payable to the two of you Iron Smith And Toby McVeigh Uh, to us? Yes But there was one stipulation The policy is only good If I die by violence means So, go ahead Iron Fire away and the money is yours But there will be some very awkward questions Gentlemen Been brought to you by Sears, Robach and Company Where our policy is Satisfaction guaranteed Or your money back Sears Where America shops For value The ransom was written by Percy Granger Produced and directed by Fletcher Markle Your host was Vincent Price Our stars were Lureen Tuttle, Stephen Markle and Vic Perron Featured in the cast were Jack Carroll, Barney Phillips And Don Diamond The music for Sears Radio Theatre Was composed and conducted by Nelson Riddle This is Art Gilmore speaking The Elliott Lewis production of Sears Radio Theatre Is a presentation of CDI Entertainment with great music and more People like Laurie Allen and Jim Doyle On KMOXFM St. Louis KMOXFM President Carter says the nation cannot reach its energy goals If Congress fails to pass a windfall Prophets tax on the oil industry This is Doug Polling reporting on the CBS Radio Network The president held news conference at the White House tonight Saying he needs the help of the American people In getting the tax approved Noting the House has already passed it The president referred to what happens next Now it is the turn of the United States Senate to act And that will be a massive struggle to gut The windfall profits tax bill If this happens Then we cannot reach our energy goals I want to serve notice tonight That I will do everything in my power as president To see that the windfall profits tax is passed Because I consider it to be crucial to our nation's future Referring to last week's changes in his cabinet The president said, I have no apology to make He said he felt changes were needed to create a new team for him Mr. Carter said the appointment of Hamilton Jordan As White House Chief of Staff Was one of the most grossly distorted decisions He's ever made in his political career The president explained what Jordan is and is not to be He will not be the chief of the cabinet I will be chief of the cabinet He will not be the chief of the Congress The Congress is an independent body We'll have the same relationship with the Congress With the same people that we have all the time Hamilton Jordan will be chief of the White House staff That says responsibility is signed by me That the job he will fulfill And I have absolutely no doubt Based on his past experience and my knowledge of him That he will do a superb job He said he's made no decision on running For reelection next year House leaders tonight have abruptly halted debate On a new standby gasoline rationing bill The halt came after the unexpected adoption Of an amendment sharply limiting the president's Flexibility to impose rationing The amendment would give Congress two chances To reject any rationing plan First when he drafts it And then when he tries to implement it House leaders will try again to pass a rationing bill Without the Republican sponsored amendment At his news conference tonight President Carter referred to the rationing development Saying this action today by the House Illustrates the timidity of Congress In dealing with a sensitive political issue Democratic Senator Sam Nunn of Georgia A key figure in the debate on the SALT II treaty Said today he cannot support the arms agreement Without a pledge from President Carter For major increases in military spending Nunn said the administration is not spending Enough on military preparedness The administration's budget For the past two years And the president's defense budget projection Through fiscal year 1984 Together with the secretary of defense's own testimony Make it abundantly clear That the Carter administration is not yet Prepared to compete effectively With the Soviet Union in the military arena And the joint chief has said Clearly that effective competition is necessary If SALT is to have any meaning For our nation Nunn is regarded as a serious student Of military affairs and his position on SALT Could influence how some of his colleagues vote In Boston tonight a former city employee Was shot and wounded a high ranking police officer Surrendered to police 36 year old David Sundstrom gave himself up After holding six members of his family hostage For several hours In control of Nicaragua


Hello and a very warm welcome to everyone here and it proves to be it's going to be an interesting session here with stories from education sector in Uganda from looking at family planning in the Philippines and looking at the health sector in Tanzania. I'm going to hand over to the presenter shortly but a few just housekeeping rules I'm sure you're aware that the recording is taking place and so just highlighting the fact there. Also on the question and answers we're going to leave it to the end of the three presentations to do the questions but feel free to post them in the chat and then just to the presenters and Monica's up first I will just interrupt 12 minutes just to say you know that time is there and that you've got kind of three minutes to wrap up and each session here is get each presentation here is going to have 15 minutes because there's three sessions and hopefully that'll leave us with you know about 10 minutes at the end okay so Monica do you want me to share the screen or are you happy to share it? Thank you Elaine please go ahead and share the screen. Okay and this is just in terms of issues around interconnect connectivity so I'll just start it from the first slide there okay and over to you Monica. Thank you for not my video. Thank you very much Elaine and good afternoon good evening and good morning to you all my name is Monica Amoha and I'm presenting the DHS to data use cases in Uganda so my presentation basically will highlight the data use cases in Uganda but prior to that I will give a brief background of emits in Uganda and the strategies that we use to implement DHS to for emits. So just a background briefly emits in Uganda is centrally managed by the Ministry of Education and Sports at the headquarters and as you can see in the picture the ministry is responsible for printing and distribution of the annual statistical forms which are then filled by the schools and then the schools send them to the districts for approval and once these forms are approved they are relayed back to the ministry headquarters where data is entered, validated and analyzed and this has been done in a standalone access database system. Then the ministry goes ahead to produce the statistical year abstract books that are in hard copies and then they are shared with the districts as well as schools and also the education development partners and this whole process from data collection to production of these statistical year books takes around a period of around six to nine months so this whole time the districts and the schools lack evident based lack timely data for evidence decision making due to the delayed feedback in relaying the statistical year books. The districts also as you can see they are left out of the data management process because they only approve the field questionnaires and this process is annually done and it was last done in 2017 so between 2017 and now and to date we've had frequent data calls from the ministry to the districts to gather additional data to inform ongoing planning. Thank you. Next slide please. Next slide Eileen. Sorry. Sorry. Thank you. So what strategies did we employ in implementation of the DHS for education in Uganda? Our focus has largely been on the decentralized approach so we focused at the districts level where we revised the districts education management information system using the DHS to initially the Demis module is currently non functional and was not linked to the standalone system at the central level so the DHS to came in to support this since it's web best and could be able to link data from the district to the central level. We went ahead to empower the district teams to be able to use their data and manage their data at that level as well as the ministry of education team to be able to support the district implementations. Then we had various stakeholder engagements for buying and scale and important to note here is that we collaborated with Save the Children Uganda. We are collaborating with them an existing education development partner already working in the education sector. Several presentations were also made to the ministry technical working groups, the permanent secretary, the ministers, as well as the district leadership for buying and we are having continuous engagements with partners such as world food program, planning international UNICEF for continuous buying and scale up of DHS to for education beyond the four districts we are implementing in right now as well as continuous resource mobilization to scale that project to other districts. So we also had a capacity building for a multidisciplinary team at the district level unlike the health sector the district that unlike the health sector the education sector does not have designated data managers. So we've had we had to train the district education teams, the district planner, the ICT to be able to use this system as well as generate data for their own decision making and planning at that level. So we also brought in the district health data managers that have been using the DHS to in health for over 10 years to share their experience and stories on how the DHS to has supported them in health in management of health data. Then we also trained the ministry of education central level team to support the system as well as harmonize their central level data needs. So these were very various departments such as special needs, gender, statistics, and all these came together and harmonized their data needs and now we are having routine we are going to have more routine data collection vis-à-vis the annual statistical data that comes in once a year. Then lastly we went ahead and set up the districts we customized we set them up with computers, shared wireless internet, procured printers and storage cabinets as well as printed the data collection tools for them to be able to enter data into the customized DHS to next. So what are the data use cases through this we've been implementing the DHS to for education in Uganda since 2019 and over this time we've seen very interesting cases and use cases coming up from the districts as well as the central level. The first one is that data has been used for evidence decision making at district level as you can see from all these pictures is that we are having stories coming in from the districts telling us how they've used their data from the DHS to for education. So they've used the data for planning for budgeting that district level we have enrollment data that is entered into the system being used to inform allocation of computation grants to the various schools and then we also have the districts use this data for resource allocation based on the performance of the indicators in the system. So construction of classrooms, toilets, procurement of desks, allocation of teachers is all based on the performance of these KPIs and then as you can see in one of these under dashboards we have a scorecard here where we are having different this where we are having at districts be able to visualize performance at different schools or even the central level visualize performance at different districts. So this enables targeted monitoring and support supervision. This abstract here is from one of the districts telling us how they actually used the data to inform renovation of classrooms as well as construction of teacher houses. Next, then the second use case has been that this data has really informed implementation of health programs, especially at district level but of course this also translates to national level. The data from the system especially the enrollment data provided vital statistics for immunization targets. We had the Mezos-Rubera immunization campaign a nationwide campaign that took place in 2019 and the districts where we are implementing we are able to provide us with to provide vital statistics for immunization targets so that appropriate vaccines would be allocated to them. Then of course since the data is age-specific it gives learners who are eligible for HPV vaccination and so this also informed that immunization program as well as which learners are eligible in pre-primary schools for the deworming program. So this has really empowered the cross sector synergies between education and health and data sharing between the two sectors. Then of course as we all know we've been affected by the COVID pandemic also in Uganda we had a lockdown last year in March and all learners were sent back to school. So we went ahead to do a national data call as you can see from this dashboard. We collected data from all 140 districts across the country and this data was used to inform the COVID response to guide the ministry as well as the districts in distribution of self-study materials, the distribution of temperature guns and masks during school opening. The districts were also able to use the data for additional lobbying for additional partner resources and right now since we are going into the we are into the vaccination program for the COVID-19 we've updated the teacher information into the COVID e-registry and now this is going to also inform vaccination of teachers. So as you can see all this data is informing planning is informing decision making at all levels across the sector. This is an abstract from one of the districts also indicating that teacher information was extracted from the system and then the teachers were supported with food items such as maize, flour and beans during the lockdown. Next slide please Elaine. And then beyond now during beyond the COVID pandemic COVID response the schools now during the end of towards the end of the last year the schools were reopened and so we needed to do COVID school surveillance. So this prompted us now to start the COVID school surveillance using the DHIS 2 for education and this is in partnership with Save the Children and it's being piloted still in the four districts that we are implementing in with plans of scale up to the entire country because this is vital as it provides statistics relevant for the response. So just briefly at the school level learners and teachers are screened and then this data key data on temperature, running nose, sore throat, difficulty in breathing is recorded using short codes and then this data is entered in a toll-free SMS-based reporting system and then of course we have the real-time dashboards both at national and district level. So this data is linked also to the district health teams that are responding to COVID for follow-up and action in case it's out of the normal. For example if we have a school that has learners or teachers that have temperatures above 37 no difficulty in breathing they are followed up to see whether they were referred to a health facility or treated. Just to let you know just less than three minutes to go. Okay thank you so and then the other one the other use case has been improved data visualization and display at both districts and the national level so from the system we are able to generate very dynamic dashboards with key education indicators at the district they are able to print out and at a snapshot they're able to view their data then at the central level we've provided the central level ministry with smart screens and they are able to display this data and really guide them in decision making. Next slide and then also what we did within the DHI is to note everything not all the data is collected on the annual statistical form so we went ahead to integrate data from other existing systems such as population statistics from the Bureau of Statistics to help us calculate key indicators such as gross enrollment ratio net enrollment ratio then we also imported examination data from the national examination board for calculation of the performance index so all this now is visualized in one dashboard within the DHI is to and is able to be acted upon and lastly the DHI is to for education is helping us in the process of harmonization of the institutional inventory master list it's acting as a central repository for all registered and licensed institutions in the country so with this we are going to have continuous update and standardization of the master list based on the EMIS policy and of course we know that this master list is very vital for the ministry of finance in allocation of computation grants to institutions. Next slide so lastly I will end with a quote from one of our district planners Mr. Omal David who says because the political leadership look at their constituencies just a minute because the political leadership look at their constituencies but for us we look at service delivery versus performance indicators with DHI is to we are no longer arguing we just bring the data and the politicians will say okay let's put the school here the borehole there the toilet stances there so this shows that they are really empowered to use their data. Thank you very much. Sorry about that my phone went off to interrupt you but thank you very much. Thank you. Thank you. Sorry I don't know why my phone won't stop ringing. This is a very good example of how cross-sectional data use can work so thank you so much Monica. Absolutely we have fantastic fantastic examples there Monica I think Haydn an awful lot of hard work and as Kristen mentioned great cross-sectional examples there and there will be another session on education as well where we can follow up on questions so some of you you can post questions if you have for Monica in the chat now and we'll see if we can get them towards the end of the session but I'd like to now hand over to Adam and Phoebe if you could share your screen and again likewise I'll just time you from the 12 minutes and let you know at 12 minutes. Great thank you. Over to you Adam is starting and then he'll hand over to Phoebe. Great well welcome everyone to our presentation using DHIS2 to support learning in family planning. My name is Adam Preston and I'm a digital health advisor within the international development group at RTI. Next slide please. Phoebe okay great thank you. Just a little bit about RTI um oh I'm sorry I'm sorry go back I'm sorry Phoebe. I wanted just to quickly kind of go over our presentation today we're going to talk a little bit about who we are as RTI. I'm going to get into the project Reach Health it's a family planning project in the Philippines. I'm going to look at our Merla framework that we're basing a lot of our our work on that we'll be presenting today and then go through some specific examples of how we're doing that and how we're using DHIS2 within the project and then of course looking forward to our future plans to expand our use of DHIS2. So a little bit about RTI. We're the first tenant of Research Triangle Park which is one of the first U.S. research technology parks. We're founded in 1958 by three area universities state governments and local businesses to stem brain drain from the area. We're modeled after a technology park created by Stanford University that eventually evolved into Silicon Valley. All research activities are guided by our mission to improve the human condition. Health research is our largest and single field of study encompassing research that ranges from studies of the human genome and a development of new drug compounds to national surveys of health behaviors and the implementation of global health programs and that's where we're going to start today. Next slide. With that I'd like to introduce Febbi, Data Manager on Reach Health to share a little bit more about the project and how we're using DHIS2 to support learning and family planning. Febbi? Good morning, good afternoon and good evening to everyone. My name is Febbi Jevelin Dewayan. I am the Data Management Specialist for USAID's Reach Health project. RTI International in partnership with Johns Hopkins Center for Communications Program and Duke Global Health Innovation Center is implementing USAID's Reach Health project. Reach Health's project is a family planning maternal and neonatal health innovations and capacity building platforms project in the Philippines. Its goal is to reduce, I'm sorry it's not working, reduce unmet need for modern family planning, reduce rates of teenage pregnancy and newborn morbidity and mortality. It has three objectives. The number one is to strengthen healthy behaviors through social and behavioral change. Second is to expand quality, client-centered and respectful family planning and maternal child health care and services in underserved areas. And the third one is to institutionalize national, regional and local systems and capacities to manage, implement and sustain family planning and maternal child health programs in the Philippines. We have a total of 32 project sites composed of 18 provinces and 14 highly urbanized cities all over the Philippines. In order to improve the effectiveness of throughout the project, Reach Health utilizes the Merla approach. The Merla approach is the intentional application of results, focus, monitoring, evaluation and research to inform continuous learning and adaptive management for improving program effectiveness and policy decision making. So this cycle of monitoring and evaluation, operations research for continuous learning and adapting best practices is being completed and repeated on a regular basis. One of the ways the Merla approach has been implemented is through the conduct of post and reflex sessions to identify what's working and what needs adapting. Post and reflex sessions are meetings where data collected by the project are analyzed, interpreted and used as basis for decision making. So we have an internal as well as an external post and reflex session. Prior to using the HIS-2, the project has been using Excel and PowerPoint to process and visualize the data that is being collected. So we enter data in Excel at the province and city level and then this will be submitted via email and then it will be consolidated at the regional and national level and then we will create the visualization in Excel and PowerPoint and disseminate the information via email and meetings like post and reflex sessions. This process is actually tedious because the data management process is fragmented. We use different tools for data collection and then consolidation and analysis and visualization. With the use of the HIS-2, the time it took to process data has been considerably reduced and simultaneous access to data at all levels is now possible. So this is how we configured the HIS-2 for the project's data management teams. The first dataset that we have is the FHS-IS dataset. FHS-IS stands for Field Health Service Information System. This is the encoding tool for routine health facility data. Prior to the use of the HIS-2, the usual problem that we encounter are errors in data entry like negative numbers, having letters or symbols. In the HIS-2, it limits the entry of incorrect values and it also lessens the processing time since consolidation is already built in. We also have an event program called Activity Database. This is the repository for all project supported trainings and reportable activities in order for us to map the technical assistance that was provided to the facilities and health offices. And just recently, we also created another event program which is called Rapid Feedbacking for Facility Monitoring Data. This event program allows us to visualize the coverage and initial results of the monitoring, for example, we stuck out. From the data that we have entered in the different data entry and capture apps in the HIS-2, we created data dashboards for our post and reflect sessions. I will now be sharing with you one of the key examples on how we are using the HIS-2 for our post and reflect sessions. In February 2021, we have conducted a mid-project technical review which involves a series of activities. So it includes a lot of activities like survey to understand the expectations for the post and reflect session and then afterwards we had a pre-work session where we analyzed data and identified the learnings and number three is we had an action planning to identify adaptive solutions and dissemination of plants. The HIS-2 data dashboards was used in the pre-work sessions in order for us to analyze parent data implementation experience and core challenges. What we did is that during the actual conduct of post and reflect session, we divided the participants into several breakout rooms and then they have to discuss an indicator that was assigned to them. So in the discussion of the family planning current users and new acceptors indicator, we realized that the HIS-2 is very conducive for post and reflect session because it also allows fast modification of visuals to suit the needed analysis while the discussion is ongoing. So here are some examples of the learnings or technical discussions during the pre-work session for the technical review in Luzon. So as you can see, we talked about the major observations on the trend of the data of current users and new acceptors for family planning. We also talked about the major observations on the geographic differences of current users and new acceptors in family planning and we also talked about the reasons on the trends and geographic differences. Afterwards, we also talked about our learnings from the monitoring data and also our learnings from the implementation. After the pre-work session, we again gather for another post and reflect session which will then focus on identification of adaptive solutions based on the pre-work that we have conducted. So here, I will also show you some of the examples of the adaptive solutions that we have identified for the problems that we have enumerated during the analysis of the data. So for example, in lesson one, COVID-19 created new challenges to health-seeking behavior. We have identified that redesigning the USAPAN, it is an activity, a demand generation activity that directly links service delivery could be a very good adaptive solution. This was already completed by the team. And then second is to create videos and family planning methods to improve quality of family planning messaging and support of community health workers who can task shift. This one is already ongoing. Second one is another common problem that we have identified is that public and private service delivery points either individually or as part of the healthcare provider network cannot currently prioritize family planning service provision and recording and reporting. So the adaptive solution that was identified is to support the training and mobilization of community health workers in performing basic family planning tasks, following informed choice and volunteers and principals during normal conditions and in health emergencies. This is ongoing. We have already conducted a training of trainers for the community health workers. Next one is number of private family planning service delivery points remain low. So here are the adaptive solutions that was identified to conduct quarterly internal and external post and reflex session to identify areas of improvement. This one, I put it in ongoing, but we have already conducted it this June, internal post and reflection for family planning in hospitals. And the second and the third, we set a realistic target for private hospitals and we advocate the revision of the peers performance indicator reference sheet to require only three methods instead of five and focus on long acting reversible contraception for private hospitals. So in our latest version of email, this has already been updated. So I just presented you three sample lessons and the adaptive solutions that we have come up to for this presentation, but there are more. Thank you very much. Thank you very much, Bebi and Adam. Yes. Okay. Can I discuss the last slide? Thank you so much. Here is the learnings from the implementation of the HIS to itself. On configuring the system, we have to think with the end in mind how we build the data sets and program sets greatly affects what we can do or show in the analytics. So working with our technical advisors and program managers is very, very important. On capacity building, we have actually customized the training and user guide manual because we found out that using the actual data elements and indicators that the participants are dealing with at work facilitates the training process and makes it easier for the participants to understand the concepts being presented. And last but not the least is creation of a support group, create a platform where users and the HIS support team can reach one another for support. So for in the future, we will focus on enhancing the data dashboards to be used for post and reflect sessions to be conducted at the health facilities level. I hope you have garnered something from the presentation. Thank you so much for listening. Adam, is there anything? Yeah, thank you. We welcome all questions in the chat and feel free to reach out to us via email. And of course, we wanted to acknowledge USAID and our partners, Johns Hopkins Center for Communication Programs and Duke Global Health Innovation Center for making this work possible. So thank you. Thank you so much. Thank you very much. And February already has some comments posted up in the community of practice. So that's also another way of continuing the conversation. So really nice example of kind of pause and reflect, I think is applicable in all sectors. So I'd like for the last session just to hand over to Wilfrid who's going to present on Tanzania and focusing on the health sector. So Wilfrid over to you. And don't forget to keep posting your questions into the chat. Thank you Alain. Can you see my screen? Yes, that's great. Thanks Wilfrid. Yeah, good. So good morning, afternoon and evening and ground, wherever you are. My name is Wilfrid Signoni and I'm a DHS2 implementer from his Tanzania. I'll be sharing our story on data use in Tanzania, you know, looking at the challenges, opportunities presented himself in Tanzania and how we kind of address and a little bit about the plan which we have in terms of the future. So a little bit about history of, you know, DHS2 and the health prevention systems in Tanzania. DHS2 was our first adopted in Tanzania in 2011. 2014 we scale up nationwide to all the districts in the country. So in 2021 we have like worth of seven years worth of data, you know, from all the health facilities, public and private, different health programs have also been integrated within this national system so that we can have a holistic kind of view.  So this information I produce mostly there at the facilities. Still at the facilities they have a huge registers, you know, books in different programs and they, you know, collect this information and aggregate these and then send them to either the higher administrative point where the DHS2 has been, you know, in Seoul at the district or some of the facilities also kind of have capability and our infrastructure where we have, you know, in Seoul is DHS2 for data collection. So we have kind of, you know, we started, you know, roll out DHS2 at the district level but we as years gone by we have scaled it at the health facilities so that this information can be captured at the health facilities. Now most of these, you know, data managers engage routinely in getting this information to DHS2. Once these information are, you know, into the DHS2 now either the regional managers, the health programs at different levels and even the national level are able to access this information immediately and also, you know, review this information before different stakeholders and parental impactors also get access to these information.  So the challenge of availability of data is kind of diminishing and some other challenges are now propping up in terms, you know, of data quality and, of course, the information use and this is actually the topic which we are, I'll be kind of trying to present today. Now I've tried to kind of speak these overview of data using to the names of two areas. One I'll talk about challenges which we see kind of emanating due to the now the huge load of information which is available where we have now, you know, limited local routines that are used at the different levels in the government, in the country. You know, maybe too much emphasis has been put on the central level in terms of building capacity but at the sub-national level at the health facility we have a very low limited data use. Still people are clinging to the, you know, legacy systems which have been used to use, for example, Excel for the analysis instead of using this DHS2 web-based systems which we have and, of course, the low limited, you know, skills in using DHS2. For example, today we've seen a very good, a lot of, you know, data analytics tools within DHS2 where you can analyze your information but you find that in most of these national systems there's been low uptake of these particular advanced data analytics tools. So these are kind of the challenges which I'll be bringing up but also we see the opportunities which are coming up. There's a lot of innovations which are coming within the systems. For example, UNICEF, we call these UNICEF apps but they are apps which allows or facilitates data analysis and use, for example, BNA, bottleneck analysis, scorecard, etc. We see also there are kind of, you know, local innovation in terms of dissemination of information to different stakeholders and I will talk a little bit briefly about the HMAS portal which we have in Tanzania and, of course, looking also to the future in terms of how can we support predictive analysis and those kind of things. Okay, so seven years down the road after a full rollout of DHS2 and here's a snapshot of how that is used at the national system. This is kind of a snapshot. There's a pitch in DHS2 where you can, you know, see the level of use of these analytical features within your DHS2 system and this is something which I've kind of generated from our national system and as you can see there are different kind of reports but the most used report is called data set report. Now, for those who don't know, data set report is just a report which mimics the data entry collection form and usually data managed back in the days they were, you know, aggregating this information once they've aggregated manually this information. They take this information, they enter this information, this kind of report similar to the data collection tool and then send it to the upper level for analysis.  We also see that the second analytical tool there is the PivotTable and one we did kind of research, you know, one of the things which we noticed is that the PivotTable has been also quite being used extensively and not rather for, you know, local information use but, you know, just to pull all this information outside of DHS2, put them in Excel, you know, and then later on, you know, do their own analysis using the Excel instead of using the advanced tools within the DHS2. So this kind of brain brought in many questions, is it the capacity building for them to use these analytical tools within DHS2 or some of the DHS2 functions are not, you know, covering some of the local needs which are there but, you know, there are some many reasons which we got, you know, for example, people are kind of quite conversant with Excel so they decided to use that and use this Excel in their reports. Of course, some of the reasons are the ones they talk about, you know, the need, you know, to learn more about these analytical tools. So it brings that particular aspect that we still have a long way to go in terms of building capacity, exposing our national teams so that they can understand these features which we are actually building within DHS2 and, you know, use this information, use DHS2 to inform them during their particular meeting instead of relying with either legacy functionalities which they have or other tools. Now, these are the pictures which we got when we did a little bit of research in one of the health facilities. I mean, it shows one of the disease surveillance officers who have, you know, kind of designed some of the charts and then post them on their particular wall. Now, we found this quite interesting in terms that, you know, there's some level of information used at the lower level and this is at the facility level where they can use these information. The good part is all these information are coming from DHS2 but the local team there are very conversant, are more comfortable to extract this information, you know, and, you know, kind of draw them by pencil. I'm hoping you can see this pencil, they have a very nice case there where they hold these, they are kind of color pencils and etc. So this, you know, inform us more, you know, at the lower level. There is a demand of information used, however, the skills, we have limited skills and, you know, we need also to promote the use of DHS2 visualizations at the local level where they can actually use these charts. We have, you know, been shown examples of very advanced charts and if these particular charts visualization can be kind of scaled to the local level, then this, it will help match, first of all, our walls in our health facilities to not be clustered with all these, you know, pictures but, you know, people could also use some of the DHS2 to support them. And you just have four minutes left Wilfrid, okay? Okay, great. So moving forward, some of the, we understand there's no one single activity which is sufficient to achieve, you know, last improvement in data use. So the team has been working in several interventions for promoting information use culture at different levels. One is the BNA, bottleneck analysis. This is an evidence-based planning using bottleneck analysis. This identifies, you know, inequities, obstacles, effective health system performance, and also identify and document these route courses. On the right there we have, you know, different capacity building sessions which we have kind of been scaling. This particular app, this app was built within, by Histon Zania and Haste Uganda. There is also the app which is called Scorecard App. This is one of the famous app. A lot of people are using it, you know, it's used for planning decision making. This is something which we have done in Zania, implementing it, you know, supporting the analysis at the high level and also at the sub-national level. And some of the areas which we have worked on is, you know, with the BFBABRN star rating, where we kind of measure the performance of various healthcare facilities. We've also worked with Reproductive Maternal Newborn and Child Health Program, where we've communicated the status of these programs towards key global regional national indicators. We've worked also with the Nutrition and Authorization Hygiene team to support this particular implementation of this Scorecard. And of course, another intervention which we've worked on is HMIS National Portal, where we have extracted data, routine data from the national system, pushed them to the portal, each portal by district level. And, you know, all the stakeholders within the country and globally, they could actually watch, view these information and, you know, I see them. We kind of developed this from since 2017, and it's been kind of supporting dissemination of the ministry information from, you know, within to outside so other people can also see it, but also, you know, catalog communicate, you know, communicate the progress which we're having, but also increase transparency and innovation within stakeholders. So different interventions which we have also thought of in terms of supporting information used, one is the capacity building. We know that for that to be routine part of the decision making, people at all levels should have skills to analyze, interpret, synthesize, present and use this information. So the team has been working with building capacity at the country level, at all levels, with different skills, you know, we have started, we usually start at the national level and we're hoping that these efforts can be cascade to the lower level. We've also worked with health programs, you know, to kind of, you know, focus on identifying the skills in, you know, these indicating program indicators and etc. When we started the national scale, we focused more on data entry, you know, validation, but as the time has gone, we have now more focus on, you know, data quality information used and promote, you know, understanding what works and where does it work. We have also, we know that data users needs to know that they can trust the information on which they base their decision when the quality is low, demand for data decreases, that data informed decisions making does not occur. So as we expected, so we have been more or less also focused on improving, you know, conducting the regional data quality sessions where we have sit with the regions and districts, provide feedback to the lower levels on what the data quality issues and instead we have worked with the WHO and Ministry of Health to build a district that we call them a district data quality dashboard. We have also configured the WHO data quality app so that they can identify the outliers and these information are, you know, propagated back to these districts and then afterwards, you know, they, we hope that these particular sessions can strengthen the data use at the lower level. We have also been conducting research on information used to understand what works for whom, why and where. We are conducting this research with his network and other his groups, the knowledge generated from these, you know, research will be valuable locally and also within the community and we share these experiences and scale the interventions which are successful in one point to also in another area. Lastly, our future plans, I think it's high time we look about forward. We have been, you know, using this information to understand, you know, retrospectively but now we look about how we can use this information to do a predictive analysis, you know, using artificial intelligence and machine learning to improve the health service delivery within the Tanzania and this is an area where we are a little bit kind of interested and we are exploring now to see how we can use these AI and machine learning to improve the information used at the national level and also at the subnational level. Thank you. Great. Thank you very much, Wilfred. And before I go to the questions, we just got a few minutes for questions. I'd just like to reiterate something that came up in the chat. There is another an education session that will be, will take place on Wednesday, so you can ask further questions on the use of DHIS too in education in that session. There's also the Thursday plenary session where we'll be looking at the whole concept of designing per data use and we'll have sessions on Thursday after that looking specifically at the denominator issue. So you can also post, as we said, in the community of practice where there's been some ongoing discussions but I thought it was quite interesting just looking at the chat there is one around from JK Osborne saying, is there a difference really between the two ministries in health and education? Have you noticed any significant difference? So I was wondering if you'd like to respond to that. I presume Monica, you'd be in the best place to respond. Have you found a significant difference between dealing with the Ministry of Education and the Ministry of Health? Well, thank you very much for that question. I would say that, well, it's for government entities, it's more or less the same. There isn't a very big difference because you go through the bureaucracies to have the approvals and the buying. But then also the teams, there's a difference between the teams. For example, in health, they are more data driven and they've been using DHIS for a long time. So they are more receptive to new DHIS to innovations vis-a-vis in education where now this is a new innovation that we are trying to introduce here. Okay, thanks, and I'm sure you can continue that conversation on the community of practice. And the other question, and maybe this would be for Fabio or Adam or Wilfrid, is in relation to the e-learning or data use modules, what has your experience been with these modules at the national and district level? I guess, particularly with COVID moving into more e-learning mode. I don't know if Fabio or Wilfrid, you'd like to answer that? May I answer? Yes, Fabio, go ahead. We have actually conducted two trainings. The first training that we have conducted was an on-site training, in-person training. And then for the new staff that we have, since there's already a COVID-19 situation, we have also conducted an online training. So we use Zoom in order to conduct the webinar, and then we use Teams in order to monitor the outputs of the participants. So in Teams, we put everything there, the resources, the instructions on how they're going to do the exercises, as well as the references, like the customized PHIs to user guide manual. And we have also actually divided, for the second training, we divided the training into those who will be conducting the data entry, and then the second training will be more focused on analytics. I hope that answers the question. Wilfrid, do you want to add anything to that? Yeah, so there's quite a difference between physical and digital training. Yeah, we're all experienced at Wilfrid. I haven't read the difference between the online conference. Yeah, definitely. But I think with what we are experiencing right now, I mean, e-learning is something which would be more or less the way forward. And it's also easier to help the local teams where they can also train themselves within their local pace and do some kind of in-house capacity building. The important part is to make sure that you have build these modules as effective as possible, as my colleagues will say, put a lot of exercise so that they can train themselves and also retrain all the other stuff when they are in their kind of area of working. Yeah, thanks Wilfrid. I think it's something we're all experiencing then going online, is there's many opportunities and advantages to it, even though we might miss the face-to-face. So unfortunately, we've run out of time there. I just see some of the questions are coming up in the chat. These will get transferred over to the community of practice. And if you engage then with each of our presenters on the community of practice in the community of practice, but also throughout the week within the social gatherings and also the sessions I already mentioned that we'll continue to have this week. So before I just finish, I just want to say a very warm thank you to all of our presenters. Sorry I brushed you to decrease your kind of all the work you've done to such a short time space, but I think you all did very, very well. So looking forward to continuing the conversation with you all during the week. Thanks very much.