uys. It's full. If you didn't get in the 40, I apologize. It's only 40 people. All 40 people are here. But don't worry, like I said, I do stream doors on Tugly, and there's only 100 people on stream that are watching, so you guys can join then if you want to play with me. This is such a bigger audience. Thank you so much, Ash, for tuning in to the stream. Have a great night. Bruh. Why does it censor everything I'm saying? Mr. Backrop's got in. What do you... Dog, it literally censors everything. Inuendo Prince Vako. You literally just ignore me though.  I have so many people in chat, I can't see everybody. There's so many people. Dude, do you see this, dude? What? It doesn't let me talk. That's weird. Echo gang. No, guys, I can't talk to all of you, you know. I mean, there's so many people. I can't respond to everybody's questions. All right, thank you, Justin. I'll get back on the... I'll try to help y'all. I gotta go, so thanks for inspiring me to make Backrop's levels. Justin, I'm gotta inspire you. Somebody said your privacy settings prevented us from joining. I don't think it's his, guys. No, it's not. It's... You can only... Only 40 people can join this and then tell people in each game. Vegeta, thank you for joining the game, dude. Thank you. Thank you for joining the Discord. Uh, BoltzPlays, have a good day. Have a great day. Thank you for joining the membership, Darkin. I appreciate that. Dog, why does it censor that? Dude, Darkin's... Darkin's based.  Yeah, the membership. All right, let's... Let's... I'm gonna go... Everybody listening. I see... I see Grugly in here. Grugly's right there. I'm gonna go randomly jump into one of these elevators and only 12 people can get in there with me. See ya, Colton. Have a great night. See ya, Skella Cobra as well. Have a great night. Shot at Skella Cobra. You... Thank... You were here like the whole stream, so thank you for that. No, hey, I'm trying to get these people to get in my Discord, but it keeps censoring it. They're suppressing... They're suppressing me. What's up, potato guy? We're just about to start doors. All right, I'm gonna go jump into Random Elevator, y'all. So, whoever wants to go with me. Hey, Maestro. I'm always glad to help you, brother. Either way, which one are you jumping in? That one. Oh, gosh. It's already told people, dude. It loaded up so quick. Chillin' Ink. Thank you for tuning in to the stream. Have a great night. Hey, y'all. Come down here and you can join me. Let's go down here. I love the backers that love doors. Same. Oh, I ran Mr. Backers. He didn't get in, dude.  Yeah, bro. We're getting people in mind. Don't worry, y'all. Antonio, what's up? How you doing? Everybody's stacking in mind. Let's go. Let's go. Klu Gang. Klu Gang. Hey, dude. Can you play Blair? Chillin' Ink. What about you, bro? I thought you was...  Uncle Brugley. Do you think he'd be excellent? I'm bored, but earlier, I promised I'd watch so... If you have to go, you have to go, man. Don't worry about me. You're chillin'. Hey, well, you're right. This music does kind of go hard. Have stream, man. Grugley, I'm never watching a video again. Can you play the backrooms? Can I please join? I don't know how the backrooms' servers work, so... Dude, Grugley's in here with me. Hi, Grugley. Grugley, dude. Please tell me you're my server. You need to atmate and get in the server. So it's like Temple Run. It's over. I'm dead. I'm dead, man. I'm dead. Yep. Grugley, you're an icon. Hey, Banana Peel. Again, I'm not ignoring you guys that if I don't see you. I just... Sometime there's so many chats, you know? They said they've been watching since 2K. Is that like... Are you saying 2000 or whatever you made 2K videos? I don't know. Did anybody watch back in 2K videos? I'd be like... That's the deepest of cuts. Brugley passed away, dude. Yeah, I did. I can revive myself. I want to. Bacon here, yeah. I'm gonna accept your thing after. I didn't want to wait and make everybody wait for it to accept. I don't want time to watch me, you know what I'm saying? Like, I'll do it after. Can I get a revive? I waited too long. Did anybody get my reboot card? Oh. I love unaliving right there. Yeah, I'll start adding you guys while I'm spectating. Bruh, where's Grugley? Oh, there he is, bruh. I see him. What's up, Grugley? What's up, bruh? Geeze. Whoa. Somebody else donated $50? Oh, no, that's for G on number one. Yeah, yeah, yeah. Uncle Grugley, can I have a shout-out? Your name's Uncle Grugley69420. Nice, dude. That is the most epic name of all time. Partigore, my favorite Doors entity.  And you have to look away from it. That was pretty funny. Brugley, it is impossible that you could read this. It's not impossible because I just read it in Pitchford, so. His name is Eyes. Oh, I like Eyes, then. Please read my text. Messing me, Brugley. Messing you to Brever, Domination. Thank you for that. I might have to go back to the lobby so I can rejoin again because I died, so.  Yeah, so I'm back in the lobby, boys. I'm back in the lobby. Yeah, look at that, bruh. Where are you at, G?  Yeah.  I'm actually good at this game. I'm just, I'm in the middle right now. I don't see you. No, I think whenever you press the back thing, it takes you back to, like, the main lobby. No, because this is Ash right here. These are the people in the stream. No, that's Ezekiel. Yeah, what's up, Ezekiel? You're in a public server? What? How am I in a public server? These are people from the stream. This is ShadowKid right here. I might have just put them in a public thing when we left.  Yeah, maybe. All right. Let's, uh, we'll leave and we'll go back to the private server. Whoa, that's so bright, dude. My goodness. How do you... I'll press leave. Yeah, yeah, dude.  Whoa, there. Join. Brookly, I'm at school with crying face. Hey, good luck. Yeah, dude. Tim Clawy, can I get a Roblox shout-out? Because I didn't make vids on here anymore. It's blue, blue, blue-full? All right, now we're here. Now we're here, boys. What's up? I see Mr. Backer's over here. Hey, dude.  Dang, baby, Steve Duck. Where's where you at? Man, I'm joining back. Give me one second. All right. What's up, Super Mickey? How you doing, dude? I see you in the comments all the time, bro. Turn Roblox on dark mode. Is the server full? Yeah, it's 40 out of 40. Dang. All right. I'm going to go jump into a random one again. Get ready for this. Hey, what's up, Jade? Jade said, oh my gosh, a live stream finally. Jade, you should step to a second channel. Yeah, a live stream on two, man. Yeah, I live stream on two, man. Reese Klupp or Pro-A-Plugin' second channel. Hey, Dot-Bied, boy. If you didn't get in this time, just if I stream on Tugli, which I do often. Oh, wait, Jade, I got in. You can join me there, because there'll be less people trying to join. So there's like 100 people that watch me on two every time. And you have an easier opportunity of joining. ShadowKid, what's up, baby? Trying to hide the stream so I don't get in trouble. Cole, why would you get in trouble, man? The slow-mo is slow because chat was insane earlier, so. All right, so Reese told me, right?  No, wait, I didn't get in, bro. You didn't get in with me, then? Huh? You didn't get in with me, then, because Gurgli's not in here. Oh, are you in one of the doors? We're in the lobby. We're in a game, bro. Oh, yeah, we're all waiting in the lobby. We're already got in the game, bro. Yeah, hey, ShadowKid, I already added you, bro. Oh, you've been on Discord. Yes, send me a friend request, and I'll accept. Oh, dude, Broly's still here, dude. Broly, that skin goes hard.  That's actually freaking bomb. If there was a backwards movie, would I act in it? Of course. Party pooper, we've been streaming for three hours. Of course, the stream dropped by a couple hundred viewers. Of course it did. Dog, if there's ever a backwards movie, me, Broly, and Avalon, I'd get the OG Tree over it. Oh, shoot, I didn't mean to do that. Osiris, it's full. It's 40 people in here already. Broly, you should send all the viewers to Avalon Fun and see who makes that alive. That's actually a good idea for a video. Darkin with another five, bro? Darkin, you've donated like 20 bucks. You became a member, and he donated again. Thank you so much, dude. Thank you so much, man. I don't even know how to...  I don't know what to tell you. Somebody said podcast? Question mark? Podcast? Oh, I just got eaten in the face. So if I hear, psst, you don't have to stop walking. Is that what I have to do, guys? We're good now. We're good, we're good, we're good. Wait, is this the... Wait.  Dude, they're worshiping this map. Groogly is real. They have to look at... Okay, sweet. Thank you, Dark. Again for the donation, man. Thank you. No, I just got in there. Dude, I'm sorry.  Rip guy, sorry, dude.  It's my bad. Whoa. It's Darkin here. It's all right, party pooper. There's too many people, man. If you're a psst, look around the room for the screech. Thank you, Darkin. Again for the two dollars, dude. What a guy. My gosh. Dude, Darkin's like in total probably donated like 40 bucks. At least, dude. That's insane. He just keeps going. Between that and the membership, too. Because how much are memberships? Uh, like, yeah, like $399, $499, something like that. Oh, that's not bad at all. Shoot, I thought I was saying like $10. Not really. Yeah, y'all drop a membership. It's in the description. You got everything. The description, nice, man. I didn't even notice. Oh, yes. Linking everything, bro. Got that Patreon? Okay. See, right? Yo, Broogly, what's your Discord? Discord is in the description, my friend. Hey, Darkin, put some Broogly, I said. If he dies, he has to friend me. Antonio, I think I already... I'll friend everybody that's like I possibly can after I stream because I don't want to make you guys watch me. Like, I don't take forever to get over there. Somebody said put the fork away, Walter. Well, reference. Walter. We need a key, guys. We need a key. I am the one who cooks Michael's meals, Walter. There's just me and Grogly over here sitting on the chairs, dude. Chris, just... Walter, give me... Hank, I don't aim, bro. I'll play one of my comments. I'm in the fireplace. Jared, dude. What'd you say, bro? Chris was stuck in the fireplace, and he said, give me out, Walter. Oh, gosh, dude. Hey, what's up, Arster? The podcast, Pete? Yeah, dude. It will be Pete. Don't worry. Clue? Clutch, bro? Clutch? Can't spell clutch with that clue, as I always say. Bro, honestly, I don't think we're going to be able to play deback rooms in this stream, bro. It's been three and a half hours already. We might be able to do that for a whole stream. Yeah, should we dedicate an entire stream to deback rooms, guys? Just an entire stream just for that game? How about this, y'all? If y'all want this, then we can have a whole stream for that maybe in a week before the Thanksgiving stream. We could work something out maybe about for that, you know? Yeah. All right, yeah, they're saying yeah. All right, we'll do that. We'll do that instead. I figured it. That's better, anyway. Doris is fun, bro. I actually really like this game. Oh, gosh. All right. Yeah, you said this one's your favorite, or you're one of your more favorite ones. Oh, yes. Let me go to my channel. Channels. Hey, y'all, go look at my community tab. It's a pretty fire community post. I'm so happy that I got a community tab. It's so fun to do that. Really? I've been doing my goals. Folders. Those are fun. Bro, I mean, how was I meant to? How was I meant to know it was there? I think I can really remember that game. I recommended you forgotten memories. Yeah, I remember. Forgot memories. I had a nightmare by some background levels. Y'all played in the perifobia for like two and a half hours. We're going to. Oh, my god. Did I have everybody back up on my chair? You got the clue? You got the crew cast right here? No. Shadowkid said, Brugley, can I give you a tip? I can't remind myself. Rip, dude. Yeah, I'm just I'm just bad at doors, but like it's fun, you know? What's up, pitchfork? What's your question? I'll see if I can catch it for him. So we'll do. Yeah, we'll do the back rooms as an entire stream, just so we can focus on it and actually play it. That'd be fun. That'd be good. Yes. Everybody asking for the friend request. I'll accept them all after I in stream. I joined the discord. Please notice me. All right, Nathan, I notice you. What's up, dude? It is 820 for me and we've been streaming for literally three hours and 10 minutes. Oh, my goodness. So we'll probably stream until 830. We'll stream for 10 more minutes. This is the appear phobia. It flew by. I didn't I didn't expect it to take that long. It's fine. They've been here forever. A.B. said, Reese, tell Brugley I had a doorknob for breakfast today. I had a doorknob, too. Doorknob would be good for my health. Reese's doorknob, dude. Okay. Hey, somebody clip that mob. By the way, Brugley, can you add? Can I had a brew into the MC map of making? Of course, man. Of course, Emma. Go for it. It's backed up in my chair right now, y'all. So yeah, well, next time we play Roblox on stream, we'll have all the kinks for that. We'll do all the links properly. Wait. Hey, yo, whoa, whoa, whoa. The kinks like the band? No, I'm talking about something else. Jared, please marry me. I mean, not me. Reese, could you tell Brugley to friend me? I've been waiting and he didn't see me. Chris wants you to friend. He's in. Yeah, I'll friend all you guys. Echo, gang, thank you so much for the nation. Oh my gosh, more of you. There you go. I beg of you, please say hello. Hello, kitty cafe. I am so serious.  Well, cute squid, bro. I'm waiting in the mail. All right.  And I will. I'll display it right back there on that shelf right there. Right there. Shout out. Please say hello. Hello, kitty cafe. Hello, hello, kitty. Hello, hello.  Echo, gang, I will add Juniper and triplehead gaming. I will add both of those after the stream. Don't you worry about that. Rado, we will aim to stream the backrooms in a couple weeks on this channel near Thanksgiving. Okay. So when you guys are on Thanksgiving break, we will do a the backrooms only stream. Just for the backrooms. We'll play it here on Broogly. That way we can actually play it and dedicate time to it. So, of course, Darken. Darken, thank you so much for the nation, bro. Thank you, bro. Like seriously, you're insane. Definitely make a family level. And add me on Discord. Hey, thank you all for getting me to... Waffle, so I know. Yeah, what's up, bro?  Thank you all for 470 subs now. Get on my 470. Let's go. Closing on 500, bro. I know we're really close. Bob, I don't care. My Discord is in my description of this video. Dude, Darken, man. Hello, kitty cafe for the Tojar. So I'll play that. I'll play the game on Toogly. How about that? How about that? I'll play Hello Kitty, the guy game on Toogly. Darken, yeah. You may need to make a family level now, dude. Christina, thank you for being here since the beginning. Bros gave up all his life savings now. Thank you. I appreciate that. Kelsey Hart. Shout out to Kelsey Hart.  WinDP, we're about to end this Roblox game. We're currently spectating these guys to see if they can get past it. Because I died. But again, there will be more streets. Hey, thank you, Abe. This is not the only stream that will happen. We'll be doing more streams. Because you all seem to absolutely love the streams. And I love doing them, so. Yeah, and we'll do VR, too, eventually. VR, the back rooms inside the back rooms, escape the back rooms, doors, everything. We'll be doing everything, all right? Yeah, we got a lot of stuff planned. So you'll say something. Oh yeah, Abe said they said. Thank you so much. We're almost at 500 alien. And then we will release the song. Don't worry, y'all. I promise you that. Hey, Reese question. Yeah, what's up, man? Will you be ready to pee once you're in VR? Dude, yeah. Immune door, Prince Bakel. Of course I know this, bro. What's up? How's life, man? Life is great. Antonio, you're awesome, bro. Of course.  That's the air. Yeah, air, man. Life's great. Hey, Tanaka. I think I missed her name. What is it? Yeah, Tanaka Suli. The stream in my day better. Common Brooklyn, W. Hey, thank you. Thank you. I appreciate that, dude. Really, dude. What's up magic? How you doing? Brugley, say woo-woo. Oh, gosh. Oh, dang. That's going to eclipsed. Hey, air, I hope your day gets better. Night golden. Sleep well, dude. Hey, Brugley. I'm just going to chat with Reese just by ourselves. I'm not in the VC. But we will be doing VC streams on Tugli and on Brugli. So you can tune in for that. Pay attention to the announcements on the community tab to hear when those are going on. What's your favorite Roblox games, Brugley? My favorite Roblox scouts on the second. Ninja, Ninja Noob. Yeah, man, I see your stuff. How you doing, man? Shout out to Ninja Noob. Favorite. Are you backing the lobby here? I'm spectating these guys because they're like almost done or they're like halfway through. My favorite Roblox games are Doors. Pyrophobia is pretty dope. I'm not going to lie. Invades fun. A pyrophobia is good. I like evade a lot. Yeah, Roblox is fun pro crash. It really is. Do you have a PO box for those toenails? By the way, cute script, bro. Again, thank you for the don't know. You've been donating so much. I just cannot express my thanks. But thank you so much. And I don't have a PO box, but I might open one up for some fan mail. So, Soviet potatoes wanting to tell you to friend. To friend by. Settle. Yeah, I'll friend everybody. I physically can until I hit 200 friends after the stream is over, which we're ending the stream in five minutes. And we will be doing a, the next stream on Brugli will be a solo to backroom stream in a couple of weeks near Thanksgiving. That way y'all be on break. Y'all be able to tune in. We'll all get into back rooms. We'll play. We'll go through it. We'll do it all then. And in the meantime, I'll be shriking on, I'll be shriking on Tugli. Not yet. Not yet. You need to do it, dude. You're crack the debate, Chonky.  You remember those old school like PO box? Better call saw. Yeah, those are fun to watch, man. Dude, we should do that. That'd be dope. Hey, Reese. If I blow that donate. Hey, man. Hey, you should save your money. Oh my gosh. Thank you, GuardiPo, for 10. Thank you for the $10. I eat shoelaces like spaghetti. That's valid. That really is valid, to be honest. Like, I don't respect that. Thank you. I'm not sure yet error at my play, but I, I probably going to take a break for a while to get some food. Because I'm starving. Hey, thank you, Matt, for the sub. Y'all, we were about to hit it, guys. We're at 473. We're almost at 500. Uh, yeah. But I will, I'll try and play Roblox with people on the Discord. A little bit more often. I got you, ambush. I got you, ambush. Subscribe to Reese or get sent to Greece. Yeah, valid? Hey, valid. Real? So he said, just realize brutally he's dead. Yeah, I've been spectating. Because there's no shot I would have lived this far. So I'm just spectating. Hey, everybody asked him at friend request. I'll do it after stream minutes, because I don't want to have to go all the way back and do it right now. It's literally me and Grogly just sitting in the chairs in the lobby. But listen, guys, for the next stream you'll see on Tugli, which will probably be in a couple of days, this whole backdrop will be Christmas out. So, Grogly, please listen. If you would, please give me a need to. My dream. Are you going to be going to your parents' house to decorate, too? In pitchfork. Yeah, yeah, that's what I'm doing after the stream. So you are? Yeah. Are you going today? Yeah, tonight. Okay. I just watched a guy get eaten. That's so sad. Breeze, can you tell Grogly about the doors group? If he joins, he gets a free revive. Oh, bingus. Brugmas is starting early this year. We'll be doing a stream next week on Tugli, the stream on Grogli, in a couple of weeks for the back rooms, and more streams on Grogli after that, too. And you'll see the VOD and edits of the stream on Tugli. So I'll be over there. Y'all seem to love Grogli streams. So we'll keep doing them. Welcome to the Grogli and Breeze podcast. Welcome to the Breeze podcast. That's what somebody just said. Would you guys prefer to eat doorknobs or Grogli's toenails? Grogli's toenails, you know? They're kind of sweet and salty, you know? Yeah. It's kind of delightful. You can keep some sanitary. I mean, what can I say? I really do. Grogli, what's your use? You should add devastated. What's that? I use meat sauce. As, yeah. You use this meat sauce on its toenails, actually. Yeah, like meat sauce mixed with toenails. Oh my gosh, it's nasty. Yeah, dang. No, that's not nasty, brother. Of course, Breeze. I'll play Nico's next box. That'll be a Tugli stream, too. You know what? Next week on Tugli, we'll play some next box. We'll play some doors. We'll play all that stuff again. Those are smaller and more low key. The big streams on Grogli where y'all are watching, we'll do some more like inside the back rooms, the back rooms, escape the back rooms, like that stuff, of course. Of course. Check out the channel art on the Discord server. I want potato. I'll check it out right now. Question for Mr. Reece. Can a match box? I don't know what that is, bro. Can a match box? Dude, boxing match? Reece and Jared, trust me. Quit squid bro. Cue squid, bro. Two million subs. Two again. Thank you so much, dude. How much for Grogli feet sees nails? Dude, I'm not selling my toenails, but like, I mean, I could be, I could be bribed, you know? I could be bribed. Dog. Yeah, he can start in only fans. He can start selling backwater, y'all. Oh my gosh. Darken another two. Dude, Darken, you're insane. Drinking cold water in the heat tonight at 10. It really is. It's insane. It's insanely good. Hayley, is that a question for me or Jared? She said, do you wash your legs in the shower? I do. I mean, yeah. I purposely like, I feel like you kind of have to. Alpha, did you like the Ohio vid? I really liked that level. I think it turned out really well. I think I did. I think I did a great job on it. So. Beaman Ninja said, Bruegel, you're my favorite backwards YouTuber. Oh, thank you. Thank you. Thank you.  It's loaded for me. I'm drinking cold water in the heat. 10 out of 10. There's worms. Of course I do. Oreos and milk is amazing together. What's the actual hickety, hickety? Of course I can notice you Asian juggernaut. Of course. Blackenux, I actually did touch grass earlier today. To be honest, I actually did. I went out to eat with my mom for breakfast, so I touched grass out there. Bruegel, please friend me for the macro stream. It's just so low. Jaws alone. OK. OK. Jaws alone. I will. I'll try to write your left. Bruegel is entertaining YouTuber. Thanks, man. I appreciate that very much. Do I like hose water? Random? I mean, yeah, I drink hose water as a kid.  Yeah, I'll add all y'all after. This has been a great chill stream, Bruegel did. Shoot, sorry if I missed your questions, y'all. All right. Let me go over here in the facecam hall, and we'll start winding the stream down here. Little final questions and answers, you know. Oh, somebody asked if Bruegel watches anime. Not yet, but I'm going to force him to have 500 subscribers for me, so. All right. So that was all of the Roblox we're playing for this stream folks.  And that's insane. What's up, Boydakran? That is nutty. How did Finland use this bizarre meat to be? Okay, I love when YouTube Shorts pops up. YouTube Shorts, Bruegel. Love that. So yeah, I'll accept all your friend requests after I end stream, all the ones I can until I hit 200.  So just go ahead and go over to Tugli if you want to see that. And as I said earlier, if you missed it, I'll be streaming next week on Tugli. We'll be doing some more, just doors. We'll be playing a vey. We'll be playing Shrek in the back rooms. Nico's next spot. So we plan all those. And then in a week after that, so two weeks we'll be streaming again on Bruegel. We'll be playing to back rooms. So we'll be doing a specifically to back room stream. And probably before then we'll be the 500K stream. So I look forward to seeing you all back stream as well. That'll be insanely nutty. That'll probably be within a week, honestly. Yeah. 500K stream within a week. So let me know if actually, you know what? Spam the bread emoji if you're hyped for the 500K stream. Everybody spam the bread if you're hyped for that because I'm super excited for that. The back rooms outfit will be pulled out. The back rooms pants, shirt, hat, you know everything. And yeah, we'll get to see. Bruegel and Reese, what is your favorite back rooms levels and entities? And what are your favorite levels? Oh, Darkin, thank you so much, dude. I don't know. I'm pretty basic. And your name is Smiler. And I swear to God, this is not me just saying this, but I really like Smilers. And I know they appear in a lot of the levels, but I don't know. I like level of fun. I think level of fun is interesting. What do you say, Bruegel? I like level negative four is my favorite level. Because it's really creepy. And my favorite entity is obviously, of course, the Bruegel entity. Why not? It's the best entity out there. My favorite custom is heaven. I think you agree with that. Yeah, level heaven is a really good level. Yeah. Darkin, freaking. What is my least favorite entity? My least favorite entity? I don't know, man. Some of them, there's been something that had been deleted. Like there was an entity a long time ago that was like a pigeon or something. It was like some pigeon. I was like, what? That's kind of goofy. It's a lot. Somebody donated again, dude. What? It was freaking. Cute squid, bro. Can you say Charlie really loud? Charlie. There. Charlie. So, yeah. Thank you so much, cute squid, bro. You've been amazing. Charlie, you bit my finger, Charlie. Yeah, Darkin, go for it. Would Bruegel stay in the back rooms for a whole day on a random level? Please ask him, Reese. Of course I would. Of course I would. Yeah, and I knew you would. I really typed in the Rolex that he would 100%. Literally. I literally would. I literally would. What is your favorite joke level, Bruegel? Probably the level, um, probably like the sol rooms or... Sol rooms, yeah, dude. That was a good video. That was a good video. Yeah, that was such a funny video. Or like level discourse also really good. There's so many joke levels that are just hilarious to me. George R, check out the back rooms flowchart. It's in Suggest on the Discord server. So yeah, I'll check out that too. That's not a really cool dude. A flowchart about levels. You mean to promote you to Disciple of Clue Maestro? Remind me of the Discord, I won't. Do I have a girlfriend? I do, yes. All right, everybody. It's been officially three and a half hours, so we're gonna start calling the stream quit here. Thank you so much for tuning in. Thank you for watching. And if you're still just watching or you just joined or you watched the whole thing, I appreciate you. I love you. I really do. And not a suss way, I do. Well, that may sometimes be a little bit sussy, but no. Oh my gosh, Vigito, what are you doing? Thank you all for who subbed to me too. I appreciate it. Did you get another sub?  Vigito, thank you so much, man. Yeah, recent channel is in the description of this video. If you want to see the VOD, if you want to see funny moments, I'll upload this on Tugli. So that'll be over there. Yeah. Hey, thank you guys so much. Y'all are the best. Oh my gosh, darkened. Darkened, dude. What are you doing? You know how much dollar, like store, dollar general, whatever stuff you could buy? Bet on the horses here. Oh yeah, that's pretty funny. Bet on. Bet on. Bet on the horses here. Yeah. Thank you so much for everybody. Thank you for donating. I still can't believe that I had literally 900 people watching this at one time. That was the highest concurrent viewers. That's insane. And we stated about 700 consecutively the entire time. It's a little bit an hour ago, which I don't blame you because it's only four hours long. Anyways, thank y'all for everything. Wait, one more thing. Let's get some W's in the chat for Gugli. For Gugli. Yeah, one last W'spam. Thank you so much, Gugli, bro. If we all keep donating, he can't leave stream. Okay, dude. Cute squid, bro. I'll be streaming again next week on Tugli. Don't worry. And then more on Gugli after that. Don't you worry about it at all. Last, last W'spam for Gugli until we call it quits. You know what? We'll do W'spams while we call it quits. Thank y'all for everything. Check the links below. New Brookly video tomorrow. Yes, over a great level. You already know. We upload bangers strictly here. Thank you for everything. Ah, see ya. Thank you all. Peace out. Peace.


Okay, since we don't want to run too much into the lunch hour, I think we'll go ahead and get started. So, quick introductions. I'm Dean Graft, and this is my colleague Brian Lowe, right in the Cornell University Library, talking today about the Vivo project, where we are and what we're up to. So, the format I will talk for about 10 minutes with a sort of a quick introduction to Vivo for anybody who's not familiar with it and an update on what's happened recently with the project. Brian is going to talk about the work on the Vivo ISF, our new ontology work, combining research resources for extending the Vivo ontology to do a much better job with research resources. And then I'll pick up again at the end and talk about a very recent project that extends, again, will extend the Vivo ontology in any exciting new direction. So, let's go ahead and get started. So, what is Vivo? It's actually, you think of it as four different things. It's a piece of software. It's a system you can install and run at your institution. It's a set of data, typically linked open data made available as RDF on the web, institution-wide, publicly visible information. So, the system doesn't support private information about individuals. It's really focused on public information about researchers, scholars, and their scholarship. Standards, it's the Vivo ontology. We call it Vivo data and now Vivo ISF with the recent extensions. And then it's a community, an open community with strong national and international participation. And I'll talk a little more about all of it. So, what does Vivo do? Vivo takes a whole bunch of information silos both within and outside an institution and pulls together all the information about researchers and research, the one common normalized infrastructure. So, HR data, faculty reporting data, self-input data, research facilities, outside things like PubMed, all sorts of information. And then it creates a sort of network of context around researchers that describes, I mean, demonstrates what it is that they do and what they're engaged in and builds these networks that interconnect researchers with their sort of organizational structure, their publications, all of their academic life projects. So, what does Vivo look like? So, this is my page at Vivo Cornell. The two senior research associates are because I'm actually both the endowed side and the statutory side of it. And what does it look like elsewhere? Well, we've got, if you're in China, it looks like this subject knowledge environment of the Chinese Academy of Sciences, Netherlands, like that. If you're at the University of Colorado in Boulder, here's there, see you Boulder, Vivo. Griffith University has, focuses more on sort of the research hub and finding individual researchers. University of Melbourne uses the sort of finding an expert interface to connect people with researchers in particular areas. And then this is the Mexico City Vivo installation. So, lots of different sort of views and visualizations. The Vivo community, now over 100 institutions around the world. So, why is Vivo important? It is the only standard way to exchange information about research and researchers across diverse institutions. It provides authoritative data from institutional databases of record and makes it available publicly as linked open data so that other people can use this, build on it, create tools and other things. The structured Vivo data supports search analysis and visualization across institutions. So, the provost at Cornell can see all of what's happening at Cornell across all the diverse colleges and departments. And then across consortia are other regional groupings. It is highly flexible and extensible to cover research resources, facilities, data sets and much more. We're going to be talking a lot about that. So, given the way the system works, it displays this information, the underlying RDF, this triple data, about an individual either as an HTML page or directly different HTTP call. You get the actual underlying RDF data. So, either way you can get the same information about the individual. So, a lot of value for institutions in consortia creates this common data substrate. It supports distributed curation. So, individuals can maintain their review and maintain their own data. Departments can do it at the departmental level. It doesn't require sort of a central office to be trying to collect all this information. It's actually the individuals who are closest to the information. And finally, data that Vivo makes visible gets fixed. One of the biggest complaints we get when we put up Vivo was, the data is wrong. Well, in fact, the data in the underlying university database is wrong. Vivo is just presenting that to you and you're seeing it for the first time. So, that's an important value. It's a nice example. The U.S. Department of Agriculture is implementing Vivo.  They have a large set of internal researchers. And they have no way to sort of see across and make connections across that group. So, it's a portal for 45,000 internal researchers. Their long-term goal is actually to link Cornell and the other land-grant universities into a researcher network. So, they can really see all that's going on in the agricultural area. So, Vivo really supports exploration and analytics. This is something that a number of partner institutions have really been working on. Since it's structured data in this common format, it can be easily navigated, analyzed, and visualized. You can see the strengths of interconnections. I can see how much are people in this college actually working in agriculture, working with folks in engineering. What are the interconnections with my campus? And across a consortia at a CTSA, Technical Translation Science Award consortia, you can see how much are the groups actually working together. You create dashboards to understand academic outputs, map research engagements and impact, all sorts of things. So, what does this kind of visualization look like? Here's a Cornell faculty member in biological and environmental engineering. So, we can visualize his co-author network. We can drill down on a particular colleague within our network. We can also view his publications record across the full map of science. So, what are the actual disciplinary areas that he publishes and how does he fit over the sort of broad set of disciplines? You can do the same thing at an institutional level or a college level or whatever. How does the set of publications play out over the broader disciplinary span? For the College of Agriculture and Life Sciences at Cornell, we've done a map that shows the impact of individual research projects across the world. Again, you can do the same thing in New York State. Drill down, get information about the individual projects so you have this geolocated information. It's easy to find out what's going on where, when your local state legislator shows up, you can immediately identify what projects are relevant to their district. Another thing Vivo does, and we've been extending Vivo in the area of research data, is provides context, all this sort of context around the researcher is also context around the research data. That kind of context is critical to being able to find research data sets that you can potentially make use of in your own research. The kinds of contexts that are valuable include the sort of standard narrative publications and citations, grants, research resources, data set registries, and web of linked open data. So, here's a nice example that's been developed at the Library of Atmospheric and Space Physics at C Boulder. They have a set of data products. They basically have been curating this data set list by hand on the land. But, you know, trying to keep things up and make the connections, it's very hard to do by hand. They've installed a Vivo instance where they've modeled the spacecraft, the flight equipment that all of their instruments run on. They've modeled the individual instruments, tied them in to the output data sets, tied those back to the researchers, the specific grants. So, again, you have this entire constellation of information around the research data set, tying it to the resources that are produced. There's other work in data set registries. In fact, early, quite a while back, University of Melbourne was doing a data set registry, the Australian National Data Service, I guess it is. We've, at Cornell, we've developed something, a project called Data Star, over a number of years, which is a data registry tool. It allows you to create, meditate, and describe data sets in useful ways to the Melbourne site. There's Data Star, you sort of see a breakdown of how the data sets, in fact, themselves interrelate. How they relate, how they are cited, how that ties together with other data sets. A particular data set cited 14 times, like 20 new publications as two related data sets. So, again, you get this sort of full context in this structured data format. So, what is Vivo today? Vivo is an open community, hosted by the Durr Space Organization. There's Jonathan, 501C3. Vivo has a strong national and international participation. We are currently hiring, in fact, we have interviews, we're scheduling right now, a full-time Vivo project. I'm Vivo project director, and I'll drive the project forward. Vivo is an open suite out of software tools. We're releasing Canada A4, right, for our 1.6 release. So, hopefully, we're hoping this will pass all the tests and be turned into the release itself very soon. It's a growing body of interoperable data, and Brian will actually give some nice examples about that. And it's an ontology, now Vivo ISF, a community-driven process for extension. So, now I will hand off to Brian to talk about the integrated semantic framework. Thanks, Dean. Yeah, so I'm going to focus a little more about the data and how the data works. Because there's Vivo, the software, the release candidate 4 that we're hoping is going to do well. I think it's going to go to release candidate 5, maybe the last one. But then there's also Vivo the data. And so, you don't actually need any of the software that you write to be part of Vivo. And you can use a lot of other tools to produce the same kind of linked open data, and be part of this big network of the context of research. So, the Vivo ISF is the Vivo integrated semantic framework. And so, the ISF piece is all about. And so, what are we integrating with this? Well, it started out by being Vivo plus Eagle Eye. So, in 2009, there was this major funding from the NIH for the Vivo project. And at the same time, there was a parallel project called Eagle Eye. And so, Eagle Eye was focusing on research resources while Vivo was focusing on the research and networking. And they both had similar consortia of institutions that were building this out. And it was really more just an artifact of the way the funding worked out, because this was one-time stimulus funding from the NIH. It wasn't part of an established program. But they couldn't make this into one big, giant grant. It was split out into these two different piles. But right from the get-go, there was the realization that there was an awful lot of overlap between what Vivo was interested in and what Eagle Eye was interested in. And they were both taking a semantic web approach to this and producing ontologies and putting together ontologies and producing semantic data. And so, all along, we were in contact between the two groups, trying to coordinate to some extent what we were doing with ontologies and semantic data. But after that, that NIH major funding, it was time to then go through and actually put these two ontologies for Vivo and Eagle Eye together in a real way and actually have a common name, this ISF, this integrated semantic framework, Vivo ISF. And so that led to this CTSA Connect project, which was led by Melissa Handell at Oregon Health and Science University. This was an 18-month effort. One of the main things was putting together these two ontologies. That's by the Louisiana Hamilton contract. And this is the teams that are involved. This is, again, a multiple institution endeavor. And so, as you can see, there's a fair amount of overlap between what Vivo and Eagle Eye were interested in. Over on the left, there's the people-focused worlds where we've got people's affiliations who they work for, the roles that they play in different projects, the grants that they're pursuing and investigating, the credentials they have. Over on the Eagle Eye side, they get into more esoteric, real researchy things like the genes that people are using in their research and various pieces of anatomy and kinds of biomedical details on that side. But then in the middle, there's all kinds of overlap where there's different techniques that people are either experts in or are using, in particular investigations. The training that they've got, publications they're producing, obviously, is something we're always interested in. And protocols, things like that that they're using in the course of their research. So the ISF is all about making that work together in one harmonious way, rather than having it be an artificially separated set of ontologies. So the Vivo ISF ontology is really, it's an ontology that's about making relationships. And in a lot of cases when people think about the word ontology, they might think more of a taxonomy, a set of terms, that you're going to go and tag some piece of research with a particular scientific term that this is what it's about. And it's really, it's important to be clear that we're really not about trying to classify people's research. It's not about applying terms to things. It's more about, as Dean mentioned earlier, this idea of building this rich context. It's about linking things together. And so when we want to talk about the details of what research is about, what people are actually studying, that's where we rely on other terminology that we bring in from other places. So down on this slide here in the lower right-hand corner, we've got the example of the Unified Medical Language System, which is another piece of the CTSA Connect project that we'll mention a little bit later, where we can bring in things like the ICD-9 and 10 medical building codes and the medical subject headings, things like that, and the Unified Medical Language System. These can all be kind of intertwined with other ISF data, and that can provide the meat about what people are actually working with, what they're, the patients that they're treating, or the kinds of things that they're actually studying in their research. But then ISF weeps together all these other bits. You can tie in the organizations that people are associated with, documents that they're producing, databases that they're producing, other kinds of research resources, grants and contracts that are funding their work, and it's all about putting together these communities. And it's also about being able to be used in a very sort of flexible way, and sort of picking and choosing the bits that are important for any particular application. Because the ISF has a lot of possible different connections that you can make between things, and only a certain subset of them are going to apply in any given situation. So it's not about having a big metadata record with a bunch of fields that are either required or optional that you're filling in. It's a very different kind of thing. It's about making the kinds of connections that are appropriate to the context of the research that you're describing at a particular time. So this is about going beyond traditional CDs. Static documents that are just sort of big lists of publications or grants that people have gotten, or going beyond author lists on publications where you've got here are two initials that are last name. I mean, all this kind of data that we still have to deal with all the time. We want to get beyond that kind of structure, and actually have a real structure behind the data that shows where it's coming from and who's actually involved rather than just a list of texts. And so it's about putting that research and scholarship in context. And by building out this richer context, we're leaving for one thing with the idea of disambiguation. And we'll figure out who is it that we're actually talking about. And as we move into a world with orchid IDs and things like that, this is going to get easier. But that's always going to be to some extent an issue. And so we want to be able to make it and build as much of that context around people as we're capturing that data rather than just having people's names floating around. We're also interested in getting richer vocabulary of roles for what people are doing. There's more to scholarship and research than just being listed as author number 27 on a paper. There's all kinds of things that people are doing, things that they produce, other kinds of outputs, and eventually then outcomes that are more than just writing a paper that might be resources that you've produced, other things that you've contributed to your field. And so the ISF is about trying to set the stage of being able to capture those kinds of things in addition to what's traditionally been recorded. And as Dean mentioned, this is all about link data. We want this to be open link data that's discoverable and usable by different applications. So this idea that from one address, from one identifier, you can go and get human readable stuff or get the structure behind it, that's really what we try to keep in mind all the time. And so in the course of designing the semantic framework and building out the ontologies, we always try to come back and think if we're faced with a design decision about different ways that we could approach modeling something, there might be one that maybe is a little bit more correct in an ontology, a pure ontology world, but it maybe doesn't work quite so well for people actually trying to consume that data for practical applications. And in that kind of balance, we usually come down on, we want to make it practical. We want to try to make it usable for things that are actually crawling this data and doing something with it and also for the people who are reducing that data to make that an easy thing to do and let the ontological details sometimes sort themselves out as they may. So to do this, we've incorporated in this framework a bunch of existing link data book categories. One that's probably familiar is both Friend of a Friend and we use a piece of that for basic stuff about people, organizations, groups, some of that standard vocabulary. We're also now pulling in another W3C spec, the VCard ontology which is a little bit in flux right now and it's being revised, but we're using the new version of that which we're finding pretty attractive as a nice way of getting all of that nitty-gritty detail about people's name parts and their phone numbers and email addresses and how to contact them, getting all of the rich detail about that and bumbled up in a nice way that we'll look at again in a minute. We're using Bibo, the bibliographic ontology as sort of the core piece of how we represent publications. That's something that may have changed a little bit in the future. We may extend that in different ways, but as sort of the nugget of what we're dealing with the publications, we find Bibo pretty attractive because it's usually a pretty nice granularity. It tends to, if you're familiar with the Furber scale, the work expression manifestation item continuum, it usually kind of falls in the expressiony sort of realm which is usually what people are interested in talking about. So that often is a pretty attractive way to model publications. And then SCOS, the simple knowledge organization system for dealing with the SORI and control for capillaries and broader and narrower terms and related terms, things like that. That's another standard thing that we bring in. And there's sort of a little technical twist in the latest version of the L web ontology language where we bring in these other vocabularies for things like scientific terms. We can sort of all treat them all as SCOS vocabularies, even if they're also something else. So we have kind of a nice consistent way of being able to refer to terms and from these other taxonomies. And then coming in from the eagle eye side of things, there's a suite of ontologies under this OBO, this open biomedical ontologies of Rella that are part of the BOISF.  And again, that's a case where a lot of data that you might be putting into an evo system or an evo-like system, you might not have that kind of stuff. And so you can ignore it and leave it out if you're not interested in that. But that rich detail is there if you have it and if it's available. So we try to encourage being able to capture as much detail as people are willing to put in and not get stuck by having a slug to stick it in. So that's the OB. There's, of course, eagle-eyed research ontology, all the work that came out of the eagle-eyed grant for modeling research resources. RO, the relationship ontology for a sort of a common core set of relationships like something being part of something else or continuing other things. And then IAO, the information artifact ontology which sort of goes a little bit beyond the bibliographic stuff and also is kind of a core set of metadata for other things in the ontology. And so these things in the biomedical world in this OBO, speedo-ontologies, they all sort of descend. They extend this basic form of ontology. And so as a result, Vivo ISF now all sits under this common top-level ontology. And I'm not going to go into detail about this, but this is sort of the philosophical grounding for the whole world that these biomedical ontologies live in. And so you get into very abstract ideas like occurrence and continuance and things that exist fully at one instant in time and things that play out over time and stuff like that. And the idea here is that it's nice to sort of feel like we are fitting into a basic coherent philosophy of ontologies. We don't always, we don't religiously adhere to this. That if it comes down to wanting to do something that's going to have a practical result for actually trying to share data and it doesn't necessarily quite fit with basic formal ontology, we're probably going to do it anyway. So one of the things that, you know, this is actually a perfect example, something that doesn't quite fit exactly with what BFO would do, but we do it because it's important, that one of the basic patterns is this notion of a reified relationship. So if you're familiar at all with RDF and its predicate structure where you have a subject and you've got a predicate that points out to some other object, that's a really nice, simple model and it's great for a lot of things, but also it breaks down at certain points. The nice thing about RDF is that you can say anything you want about anything. The problem with RDF is that you can say anything you want about anything and what you often run into is contradictory information when things change over time. That people don't just stay in one position their entire career, they move around, they do different things and if you just make simple statements like John, employee of University of Chicago, well that might be true today and it might not be true next year. So if these triples are just floating around out there together and mixing around in the wild, then eventually you're going to have to try to figure out which of these things is actually true at the time that you're looking at the data and so we try to give you better clues for figuring out what's actually correct at the time you're querying. So we have this node that we put in the middle of two things. So instead of just having one subject predicate object here, we take the predicate position and stick another resource in between. So you actually end up with a triple going from this subject predicate object and that in turn becomes a subject of the zone with another predicate to another object and so we can actually treat the relationship as an entity unto itself that can have its own metadata and one of the important things with that is putting times and dates so we do that for things like positions, we do that for things like authorship instead of just saying somebody author of publication or publication that has creator, has contributor or somebody that's a node for representing the actual authorship because we usually want to hang additional data off of that to further qualify that idea and that basic pattern plays out in a number of other places and that's what we often really try to do with Vivo ISF is that while we might make things initially a little bit more complex than you might see in other ontologies we try to make it a good trade-off so that once you learn that new pattern being applied in a lot of different places so it becomes familiar to you and hopefully that richer data, that richer structure is going to be a lot more useful for the applications that are actually trying to consume this data so here's the idea that if somebody has a position and the position is then in turn linked to the organization that now because that position is a resource on its own we can say that position was held over a particular time so someone was at University of Chicago, they had a post-doc position from 2007 to 2009 and then they moved on and went somewhere else and we can keep around all this data, we don't have to try to pull it out we don't have to try to retract it or say it's invalid, it can live there harmoniously with all of the current new data and we can build up this distributed CV over time of how people's careers evolve because we can accurately say what was true at a given period of time so here's the notion of two different positions somebody moves from position one with one time interval they move to position two and we don't have to delete any of that old data, we don't have to pull away position one, we just close its time interval say it's got an end date we'll open a new time interval for position two and we can start building up this system and similarly because we're using the V card standard for things like people's names one of the stupid things that you end up dealing with any time you're dealing with people is people's names change and if you can figure out at what point they changed then it becomes a lot easier so we can explicitly represent that kind of thing in our semantic data by having things bundled up into an ISP card, essentially a business card that's true for a certain interval of time and you can put a time interval on that say this is the accurate information for this date range open up a new one for a new date range and we can start aggregating that data and you know which is true at a particular time and it's not stepping they're not stepping on each other's toes so again the same exact pattern that we just saw with positions do the exact same kind of thing with V card and similarly because we've got the V card as a resource on its own that can have its own metadata you can associate that with an authorship we have the authorship again as its own resource and so you can say here's the particular form of a name that somebody published with on a particular publication this was the contact information that they listed with this particular publication and it's very clear what's associated with what there's a sort of a slot for everything that you could fill in even if it's not necessarily something you're going to fill in in every case so build the relationships that are important for the context you're describing so going beyond the pure notion of authorship that people being listed as authors of documents roles are very big in Vivo ISF this is something we get this basic notion of a role now from the basic formal autology so it ties into broader notions of roles elsewhere and so we really want to try to make it as attractive as possible to capture richer detail about what people are doing in the course of actually pursuing their research in addition to just what eventually results from so in addition to just being an author on a paper we also want to capture the fact that you have a particular role in a project or you have a role in some kind of event or activity the different things that then ultimately might have an output that is a more familiar kind of art effect and so again this is the notion that we have this kind of you know this set of this web of things that you could kind of build in whatever complexity is useful for what you're trying to describe we give you that basic vocabulary to stick things together with and so you can link together all kinds of different roles that people might have to different projects or different pieces of projects you can make it as detailed as you want or as simple as you want and then ultimately those activities those projects kind of temporal things can have documents and resources that come out of them and again those can be inputs to other things it's a very generalized framework for kind of building out these relationships so when you have all this data what can you do with it so here's an example of what you can do with linked open data this is the beta.vivo-search.org and so this goes around and crawls linked data from not only vivo but other software types that are then publishing using the vivo ISEP ontology and publishing the same kind of linked open data and putting it together in a search index so it's kind of you know it's a google-like activity going around and gathering data but instead of scraping it off of html pages it's pulling it out of the structured data and so here's the network of different things that are folded to this index and so overall left all of these different blue things are things that are actually using our vivo application and on the right are some other things like Harvard Profiles which is a totally different software application looks nothing the same under the hood but it's storing the same kind of RDF triples in its triple store it's publishing vivo linked open data and it can be harvested into this index the same way with the vivo system similarly Iowa's Loki system it's got a completely different database it's simply storing its data but it's got a translation layer on the top that can dynamically turn that into linked open data if you come and make these linked open data requests and so this the crawler that's building this index can put these all together and make a nice consistent search interface out of it this is vivo search light by Miles Worthington another example of what you can do once you've gone and aggregated this linked open data if you're at a particular page and you highlight some text that you're interested in it can go and look up and find different people who might be working on that topic or have some expertise in it and I'll let you click through to their vivo profiles and learn more about them and so it's again it's using that linked open data to provide the basis for being able to do that lookup here's a search engine that was created by someone directly affiliated with the digital effort this is Dave Weichmann's group at University of Iowa with CTSA search and so the clinical translational science awards they have adopted the vivo ontology as their sort of recommended way of sharing researcher networking data and so he's got a search here that goes and also gathers that semantic data from these different CTSA sites and as you can see they've got 1,945 persons and 19 different institutions and over 1.3 million publications and so they're building up a quite rich network of linked data out there and so this is an example of an application that isn't trying to go and search the entire world of linked data but it's identified a particular set of institutions a particular set of sites that are of interest and is crawling those particular sites for a particular purpose so some of the use cases that we have by SF it's going to be useful for in building applications doing things like being able to find the publications that resulted from grants being able to reverse those relationships see what funded what being able to discover and reuse facilities or equipment things that an investment has been made in and should be possibly more optimally reused than they might currently be this is one of the classic e-line use cases being able to reuse resources efficiently demonstrating the importance of different facilities on a campus in actually producing research results and being able to discover people who have access to resources or have expertise in particular techniques and so this again going back to the CTSA Connect project Stony Brook in Florida and the HSU were heavily involved in this project to be able to link together clinicians and researchers by taking the codes that were associated with the particular things that clinicians were treating in their practice and matching that up with mesh reports from what the researchers were researching and making those ties through the unified medical language system and ultimately tying that all together with the ISF to publish that as linked data so this basic notion of this bench to bedside idea of being able to get the research more quickly from the researchers to the clinicians being able to find those connections that are going to make that happen is another application for this kind of linked data and looking a little more towards some other ways of expanding ISF especially Steve McCauley and Ted Lawless and Brown have been doing a lot of work at looking at the peculiarities of some aspects of the humanities and artistic works especially for things where someone has created a work but then wants to be able to track all the different people who have performed it in different venues, in different places works that have been translated into different languages collections and exhibits that have been on an ongoing basis and you want to be able to then aggregate all of that together because that's part of the evidence of the impact that this scholar has had these are things that again it's a sort of a natural extension of what the ISF is doing and also an example of the way that it has these multiple different pieces that you can mix and match and choose from for a particular application and so if you want to get involved to learn more about what FIVO ISF is doing we've got bi-weekly calls as part of this FIVO ISF working group as part of the Dura space and roll up and so there's a link here to our wiki page you can look for the ontology working group under there we'd like to invite anybody to join the calls and learn more about what we're doing and get involved and give us some feedback and ideas so here's just a brief list of some of the different interest groups things that people have been talking about recently in the group looking at more detail around grants again the humanities aspects things like knowledge mobilization about how you actually get stuff that universities are doing into practice in the community more about annotation and provenance and also more detail about publications so we've looked at a lot of ways that ISF has extended to research resources and other things and now I'm going to hand it back to Dean for more about link data libraries okay so I'm going to be talking about a very new project called link data for libraries creating a scholarly resource semantic information store so last Thursday the Mellon Foundation made a grant to Cornell Stanford and Harvard for basically a million dollars starting this coming January so the partners will work together to take this same kind of idea that you just saw in the biomedical area and apply it to scholarly information resources so basically sort of extend the vivo model and ontology to cover all of the kind of contextual information around scholarly information relationships, metadata, broad context so this will leverage the work the vivo's done, we're also actually leveraging the work, the hydro partnership and stuff they've been working on that's part of the effort so the project team at Cornell I'm on it, John Corson-Reichert, Brian and Simeon Warner we've got another half new FTE at Harvard it's David Weinberger Polish Nair and they'll be bringing an outside consultant with expertise in the link data area at Stanford so the official participants are Tom Pramer and one new FTE that will be full time on this but when I just talked to him about our first meeting he said he had about eight people in his group that he wants to bring in and engage with this effort and I think we're going to be doing a lot of that as well so what is the goal of this effort? It's to create a scholarly resource semantic information store a model that works both within individual institutions and through a coordinated, extensible network of link-toped data to capture the intellectual value that librarians and other domain experts add information resources when they describe, annotate, organize, select and use those resources together with the social value evident for patterns of usage so we want to draw on the work that the Harvard Information Lab has been doing at their library cloud where they're tracking usage information about information resources we want to pull in things like live guides and other sources where right now librarians have been adding value but typically in sort of very siloed systems that doesn't necessarily inform what exists in the basic catalog in the basic search mechanisms and to make all these things available then to support discovery and use of the materials there's a quick look at our project timeline beginning now we're starting to work on the initial ontology design identify all these disparate data sources that's one of the reasons we're very glad that we have both Harvard and Stanford working with us on this we see ourselves as all having individual sort of localized sources of added value for these information resources. Stanford is looking at some of their archival and manuscript descriptive information and being able to fold that in mentioned the Harvard Library Cloud work we'll begin creating this we're calling the sources which actually takes code from the Vivo project the underlying software called METRO you just pull out the Vivo ontology you can plug in any ontology you want to do a little tuning to make everything look good so that's going to be part of that work and then connected with HYDRA HYDRA now has a component called Active Fedora that talks to a Fedora back in this sort of store we're going to build an Active Triples Ruby layer that will interact with a triple store in the same way I meant with HYDRA framework up above that second half of the year we'll complete an initial ontology and highlight the initial data ingests at Cornell maybe of interest to some of you here we'll be running a workshop in December where we bring folks from 10 to 12 institutions to help give us feedback on the ontology on the overall approach and design to make connections to support potentially piloting this at other institutions and to understand how the institutions see this fitting in to other collaborations that are happening now TKLA, Vivo, Share people are doing all sorts of collaborative work we want to find out how can this best fit into that environment and for the second year we'll be doing pilot instances at Harvard at Stanford populate our own instance from multiple data sources Color is our curated list of library resources it's a framework for organizing and annotating existing resources in our collections we will develop a test instance we will have a search across the partner institutions integrate with active triples then second half of 2015 we'll do a full public release of the open source code public release of the active triple cyber component public release of the ontology full functional instances and a full demonstration system so project outcomes the primary outcome of the project we see is this sort of open source extensible ontology compatible with the Vivo ontology compatible with big frame we're going to be working with other existing there are a lot of library linked open data efforts going on we really want to work to be compatible with all of those things like the open annotation the we'll release the open source source systematic editing display and discovery system and the project type of compatible interface to the sources let's see I think at this point we are to the question stage well thank you all very much


So a couple of weeks ago on the program, we looked at a poll from the Democratic Party primary taking place in Ohio for a special election and it showed that Nina Turner had a Massive lead over everyone else her closest opponent Chantel Brown was like 35 points behind her now Of course, it's not a foregone conclusion, but obviously Nina Turner is doing really well So of course, you know what that means the Democratic Party establishment is going to try to stop her as I predicted and They're bringing out the big guns and by big guns. I mean their special weapon Hillary Clinton so Hillary Clinton came out of hiding to endorse Nina Turner's Opponent in a pathetic attempt to sink Nina Turner's campaign tweeting I'm proud to endorse Chantel Brown for Congress in Ohio's special election Chantel made history as the first black woman to chair her County Democratic Party And she'll work to help her state and our country recover from COVID join me in supporting her Now, let me remind you that the last time Hillary Clinton came out of hiding to try to stop a progressive from winning Was when Elliot Engel was caught on hot mic at a Black Lives Matter rally saying I Wouldn't be here if I wasn't facing a primary challenge. I'm paraphrasing, but that was what he said It was this PR nightmare and it looked as if he kind of Sunk his own campaign. So Hillary Clinton comes out of hiding to endorse him after he says that What happened Jamal Bowman won and if anything her endorsement of Jamal Bowman's opponent helped Jamal Bowman because what happened? Everyone rallied behind Jamal Bowman sent him money and this is no different we all need to make sure that we show Hillary Clinton that we don't care about her input and We're going to use her endorsement of Chantel Brown Nina Turner's opponent to further help Nina Turner by donating to Nina Turner If you've already donated to Nina Turner, you could purchase merch You can do whatever make a phone calls for Nina Turner But show Hillary Clinton that she's irrelevant in modern Democratic Party politics And we don't care what she has to say and honestly if I'm Chantel Brown I would not be happy right now that Hillary Clinton endorsed me because in the past This has kind of been the kiss of death once Hillary Clinton comes out to endorse you it shows that you're desperate and She's not very popular even within the Democratic Party. This is the individual who is in part responsible for Donald Trump and Multiple Supreme Court seats going to the Republican Party for decades So I mean she doesn't have much goodwill left But what little she has she continues to squander by coming out of hiding to only endorse The opponents to progressives when progressives specifically are doing well It's honestly embarrassing like if I were Hillary Clinton I wouldn't want this to be my legacy like I wouldn't want to be seen as this figure in the party that tries to stop grassroots Momentum, but here we are and honestly like I forgot that Hillary Clinton existed before she came out to endorse Chantel Brown And it was really nice But it's funny because it reminded me how the left just doesn't take Hillary Clinton seriously So I want to share some of the responses Christo avalice writes if anyone was unsure about their vote This should 100% put them in the Nina Turner camp and that's exactly right Scott des Neuers writes Thank you for real this time Hillary OMG it is so awesome for this blazing endorsement for the working people to get behind Nina Turner Basically, I mean her endorsement of Nina Turner's Opponent is an endorsement of Nina Turner for normal people a kiss of death totally agree It's a D plus 64 district lol Benjamin Dixon writes we good David all says lol Nathan and Mesa donated to Nina Turner doing his part. Thank you for that Donna Martin says still petty as fuck. I see Gato fumador says thanks.  I mean this is just it goes on and on It's hilarious to me.  I mean the responses here are hilarious and goes on and on So I mean there you have it Hillary Clinton might have single-handed Lee Sealed the fate of Nina Turner's opponent. It's just any time There's somebody who was an ally to Bernie Sanders or has the same politics as Bernie Sanders because she's still bitter She's coming out to endorse them and I don't know that Hillary Clinton like did this on her own accord I'm sure that the Ohio Democratic Party establishment called on her and requested her support But if you are a politician in 2021 you should stay as far away from Hillary Clinton as possible because how many campaigns Has she sank at this point like you'd think that they know by now that Hillary Clinton is a toxic figure that you don't want to Be associated with but nevertheless here we are and I welcome Hillary Clinton's support of Nina Turner's opponent go donate to Nina Turner