M3S HQ&T4&T5 Meetings

12:31AM Oct 24, 2023

Speakers:

Keywords:

data

singapore

lta

people

meeting

ai

put

entrepreneur

headquarter

organization

survey

feel

work

understand

project

smart

mentioned

point

smu

jacqueline

And across the whole world I think the thing is in in the UK and then new highs in Singapore in the world united states and so we cover its color.

So who has the worst timezone?

Probably me because it's already 1:30am in the morning. Okay. Well,

my condolences

I'm sorry for your the US that are meeting or thinking about most of us will be in United States or Asia. And now you're presenting your work in UK. It's okay. It's one week when we think right next time we will be like in Singapore.

I mean, I think MIT student I'm pretty good at being up so you don't need to worry about that.

Yeah. Normal sort of you when you're your age you you get up at 10am and you go till right

when you have I know. You get used to getting up at like 6am And then it's really hard to go back

with 14 point I don't know is sending email me without a kid I still wake up at like 6am or something I just

Oh to work they're working too hard that

I just feel like the the morning, morning time, you know, just all by myself and

it's a great pattern because yeah, you can just do things no one bothers you. I think some people are really sensitive to the light to was like, you know, little bit of light being

I don't know I have one question. Yeah. Um, is it okay to invite Charlie to this meeting? Oh, yeah. Because I wasn't sure. Like, how the conversation between Charlie and Joon Ha. Participating? Yes.

So, so ng The reason why I want to invite it all into the meeting is like we just don't want to others feel like because you have the responsibility to come. The timing is is our meeting times kind of challenging for many people in United States right isn't higher than 830. That's that's a reason but we were happy to incorporate all other people into the team. They could all contribute our project, right? So the more the merrier. Let's see. Yeah, actually, it's nd don't stay calm is the same for for a topping and Robert, I always CC them or send an email to them. And but I hope they don't feel any like, like race hard responsibility to come. It's just okay.

But we are trying to get them to come to Singapore in early January, because I think that'll be really interesting to meet people and things like that. So right now we have all the crazy sponsor stuff at MIT. So it's you know, it's, it's a crazy time here.

All right, so, uh, yep, cold calling. Okay.

Hey, how's it area's? Yeah, sorry. I just finished the meeting with the National Research Foundation in Singapore. Discuss the our like, advisory board shortlist

I'm very, very curious about all these. Is there something we could share here?

Yeah, probably knocking that out. Yeah, there's quite a bit. Yeah. There's a lot of the basic discussing that they have some diversity because Singapore was international, but also to avoid all the potential conflict of interest, right? anyone had any even prior connection with MIT? Now even the wild who has connection with for example, SMU which are collaborate also being seen as potential company interests, so I do want those things. Oh, my God. Yeah. There were one very good way I know him pretty well. He's, he's, he has a lot of experience. Our education and our link will be great advocate for 44. But he just recently been also see counted to be a vice provost at SMU, so he's disqualified. Yeah, yeah. Yeah. Anyways, yeah. Starting to come late. And shout out to you for for the meeting. No problem.

So for today's meeting, again, it's just an internal discussion. See last time, I think, like we are made older, like receiving and understanding your interest. But I think essentially for our work here will be the dynamic process, right? It's a matching of our interests or proposal interests, points of interest and all this stuff together. So today, I just like I read through your one page summaries and try to assign you guys to specify a task then, but for today's slides, I already put it in the Dropbox folder, and I point you to that direction also attach a PDF version so we can see that. So let me just share screen and we could start my partner

you'll see a screen right? Yes. Yeah. So it's, as shown by the title is just a very preliminary one task assignment basically match the RA with specific tasks. So based on my reading of your preference, here is rough matching of your Okay, here is a rough matching of your interest with our our project. So in hand, things should work at 100 personnel project and then she has like 50% on the headquarter level, because we do need to someone to kick off the headquarter work. And then 44 We do have some people. You have been working on that Xingyi will be a new postdoc. I'll talk to him this week, but it looks like he'll work on key four and then jumbo and ng will also work on people. Also marketers percentage of your time. Okay. So for jumbo and the webbing so for now is just kind of volunteer work while you are being we expect you to start probably working on project next year as opposed for jumbo is like we appreciate your volunteer support the people but I feel like we have a very good shared interest. So hopefully it should be fun. Yeah. Fortify skinny and the union can show their interest in Te fi and then they can work on our topic sorry, I also Margaret Tobin and Robert here but as a standard comments are very busy with our sponsors, meeting in wild humans and they were surveyed in Singapore and to contribute more, and even their current work. I know that working on large language models are very related to our general AI, the focus. So again, as I mentioned today, I just only define the core responsibilities base is minimum project requirements there are so what are we promised for sponsors, but again, all right, I highly encourage you to to work on other interesting relevant topics and work together. And also today's task is the same so still very preliminary were revised later. But for any project, which are needed some preliminary assignment to really kick off the HD reduction in a base on my observation for each headquarter t 45. I feel like we probably need one more person and probably even two for headquarter and 95. So if I were doing an interview tomorrow, probably I have a last interview, such as interviewing the fourth candidate will make a final decision about that if I talk to and then for headquarter level, I feel like we still need at least a 50 halftime part to help resume and to design a survey. And like no do some work. Yeah, I will just goes over the details. Like for each project and ABC, why if you're like missing some people for headquarters, like Eva, so 44 So you could just enter the RFQ feel free to interrupt me and if I have made some any mistake on the summary, let me know on the show my understanding and the matching, though we will see mistakes. So for your opinion, based on my reading of your your one page summary and your presentation, your researchers are focusing on focus on keeping on learning and general AI that's very interesting. And then the top is a main sequential travel activity decisions. So for the data and use cases kind of Assam YouTube on the data. I think you could help you collect the traffic survey data and from the LTA and it may just work with enhance on that for use case. We do need someone to start working with origins team to concretize our our use case because that's a go local points. And these are prevented discussion with origin. It will be some field experiment using the SMU a color. Yeah, so for example I think a couple will probably not visit the Singapore or maybe you will I still don't know. So I just mean it's not up to them research part. So it's aI et cetera the system that will be taxed now and we also review and then keeping versioning for learning will be also about the travel activity sections. So for NG I think so. I may not understand your framework last time. I think that's a very good and broad framework. And I still a bit confused about the specific research method just you know as a very like basic starting point, but I also saw your uploaded some slides in today's they folder. So maybe later you want to talk about more specifically this time, my understanding is might be ready to Bayesian approach and that you can reach a topic about it. You talk about the entrepreneurship like entrepreneur decisions is still a bit unclear to me what exactly decision you're talking about right? It talks about that very complex, like decision space or you know, doesn't make uncertainty right. But whenever possible, those cases it will be like will be great if we could have like further clarify a little bit what executive decision and what kind of risk that that decision about. And I think the data side, we do need some someone to start collecting the career decision data with origins team. Data potential will involve a survey design. And do you want to interrupt?

Yeah, so may I call Charlie? I mean, obviously,

echoing we couldn't hear her. Well. It was

it was a try again and yeah. Okay, it's good.

I think it's good. Yeah.

Okay. So, like two or three I think, four or four weeks ago, I had a meeting with junior high and trollee. And I guess the topic is like using AI as enterpreneur co founders and Charlie and I suggested to Jin Hwa that by the time that I go to Singapore, we will have some rough dynamic theory about how to use AI for entrepreneur operations. And I think Charlie's rough idea of research plan. I don't know I asked him for your feedback. as well. But he thinks it might be most helpful if I can do a lot of interviews and surveys from the intrapreneurs themselves so that we can somehow embed that into the theory that we're building. But can I get some feedback about that? Idea? From Jin hos Andean shadow.

Yeah. The, to the high level, right. I mean, as I so we can just find this as part of the human capital development, right? I'm treating entrepreneurship as a special group. Who may interact with the AI even more intensively down the average person, right? I did that. That's, I'm totally fine with that. Right? I really shouldn't have that we, we just need more specifically on what exactly? To do, right. For example, if we talk about data collection are we going to say interview 50 entrepreneurs in Singapore? Or sorry, announced I don't know why 100 different startups or basically whenever you get a more concrete plan, let us know and

put something in the chat that I think might be a useful sort of parallel activity. So a woman by the name of Isabella Louisa just graduated with me. And what she looked at was career changes and how that affected people's income and other aspects of light. And the thing that's different is is that this is data that covers essentially everybody in the United States. So it's looking at economic incentives for skills change and location. Change. And it uses a sort of AI techniques to do this. And so one could imagine that a subset of those people, we know a subset of those people are entrepreneurs, probably some of the same logic applies to entrepreneurs. Certainly, in my experience, many people decide to move to San Francisco or move someplace else or to check pivot a little bit to change what they do. And perhaps you can adapt some of her data and techniques to help you. She's working with Roberto Gabon. MIT sustainability program. I think it is.

I know. Like you suggested, I think being creative about the numbers and who I'm going to interview when I'm in Singapore, they'll be also helpful. And Charlie is also coming to Singapore for the project as well. So I thought I would share the more concrete plan about data collection and the research topic, but also like Andy mentioned I took the classical entrepreneur strategy this half a semester, and it's cuts turn on a professor teaching mentioned that one of the biggest decision that is not well understood is when do you start to commit to become entrepreneurs? Like, when do you somehow decide? Yeah, so I want to understand that more as well. So yeah,

really? I mean, the entrepreneurship course I've taught for years is really all about that particular question. Because everybody is trained through school, to not be an entrepreneur. What are the things I might suggest that you do is there's an organization called an A star, a star, S T AR in Singapore, and they are more or less the official entrepreneurship organization. Not not typically very early stage but they would be super interesting because they're the ones that give seafoam they give a round funding. It's the government they have statistics across all of Singapore. And it'll be very interesting to understand what they see. And they have huge amount of data. Right? Because they've been at this for 20 years, or more.

Yeah, thank you. And you just added to the point I feel like it'd be great if this idea could be integrated with our existing resources. Right, because at certain point you have mentioned the think of really encourage us to apply for the kind of intrapreneurship the type of funding probably those agency we could collect all the data, right they also want to know that the funding they provide whether it's really build up as a successful startups, that's related to the successful like, right decisions from the entrepreneurs. Right. So that could be one way to integrate a resource.

Yeah, I think that that would be a great thing, from the Singapore point of view, but also from the data point of view. I mean, they could they could line up an infinite number of people to interview but they probably already have interviews with hundreds or 1000s of people. So you could mine that perhaps. Yeah.

Yeah. I put in the note, a few few thoughts. One is, we've been smart. There's a huge innovation center that and you're already aware of right? Self actually offers the entrepreneur training for the smart student postdoc faculty set, right. And they also knows the local context quite well. There is only a small town and everybody knows everybody about the VC startups. So if you talk to the IC, the two person there, they will guide you the brand and the other way. So that's one thing right? But the second thing is that the smart IC actually have funding to support entrepreneurship coming out of the program. Right. So here, what this suggests is not only we study entrepreneurs to say that, can we be the entrepreneurs or one of the students or postdocs, our faculty to do that, right? For example, Can we do something related to the future of learning education? Even some of the technology develop, for example, if we are suppose we have a really powerful AI based career recommendation engine for people? Can this be a foundation for startups? It's possible right? We could either should keep an open mind. I'll put her encourage that right on that the actress has designated or training and funding to support Yeah, so So that's, yeah, that's one thought. Right. The second one is also to the point of can we interpret what you are doing with the men part of a tee fault right before we're talking about career development, right? You couldn't imagine that choosing to be an entrepreneur is part of your career decision here. Right? That's one HS one special case on this right and actually, this being entrepreneur often relate to your say, for example, failure you in finding a traditional job, for example, right? Yeah. Two weeks ago, we invited a Tiffany Chu, who is the founder of a remix, who's very successful exited a $100 million dollar piece. So she sold her company to via she's given the target to our cloud to our student, right. We asked her why why he did that. He's very frank. I've taken a planner after graduate couldn't find jobs right after the financial crisis. So much, so I decided to do something. Right. So those are all part of the career decision making here. Right. So you can see that as a part of that, as well.

So yeah, I think I see the connection. So thanks for the feedback. But I think like Charlie and my approach is like we should first come up with a tool that somehow assist enterpreneurs in their operation, and that would in the end somehow help us persuade intrapreneurs that like when I was doing a startup, like different high dimension of choices, at every point of the time, every day you wake up, you don't know what to do it. There are so many things you need to do. It was most it was the most overwhelming job. So I guess making a tool was first and then using this tool to somehow persuade that or encourage people to choose to intrapreneur career is one plant that I'm seeking. So my point was everything kind of happened at the same time. But I that's the what you suggest is the direction we're looking at.

Yeah, go ahead. Sure.

It's just a two thoughts. One is whatever energy it is, quote, I feel like there's no conflict with your situation or using smart IC either data, right. So basically, you know, like, incentives. Our work we have the field called the science of science. Your database uses science to understand that the size of the cell right here you're like taking intrapreneurship to understand entrepreneurship. I don't know whether it's possible to even write a proposal get some funding from those and smart fire like entrepreneurship oriented, like grant to furthers that a second, a quick thing about the general comment on entrepreneurship have a decision as a one specific career decision. I think you might leverage his options like SMU Academy, design some survey because we have many people there that have all kinds of paths a like career experiences, and many of them, I believe to consider are the startup or entrepreneurship. So you could design a survey ask them Hey, what are your past experiences and whether we had some paths or an entrepreneurial experience and what sort of official path so it kind of naturally integrated into our our teams that work our resource and what we want to do, as you know, and understand the career decision over that because it's just one specific career decision. Right? You focus on so I feel like is there a lot of opportunity could integrate into what we already have here? Yeah,

I agree. But my only point was this I don't think could happen in one year. So I'm looking three years of things line of things. So that was my only point.

Last one to add on this career development is using smart and or create the broader umbrella organization, our own alarms, career development as a case study. Right? For two reasons. One is we can have direct access, we're going to talk to the Creator smart HR to say who are they when when did they come? What do you get CV? And how many year they stayed in smarter crate and after the graduate where to where to go to so there are some data on that right so you can treat this as a small case study on there. Were I think we're talking about at least couple 100 if not even more people in this organization. Right. The Secondly, these are the anonymously for NG for all our look at this right the second thing is is also the potential he like constructive to for smart and a crate to be thankful to the T force contribution right? Pick these himself and watch artists that are so smart. Or create as an entity how much this contribute to the human capital development as an organization ourselves, right. So if we can offer some solid evidence out there that will be actually very helpful.

I just put something in the chat. So I was part of a team that assessed all of the incubators across all of China, and looked at all the factors that the government supported about the incubators. So this is a report about that. It's potentially interesting. I know I know that the organization's like a star stuff would be very interesting. Thanks. It's really amazing how many incubators there are. Like 1000s and 1000s. of them.

Yeah, cool. Yeah. Sure, how can I add some comment to the other parts of the tip? This one is on the traffic serie travel survey from LTA, right? Yeah. For that I mentioned again, I also want to mention the whole team last week while I was in Dubai, I met the Deputy CEO of LTA. So So he, I we start to know each other reasonably closely, so he could be a good contact person to reach out for support or get into debt. Right.

Who is the person to have for you? Being typing? Isn't being we SHAN

I typed into the chat. Yeah. So here, whatever a union or you're being you're ready are exactly what are we asking for? LTA? drop me an email then I can use that to to connect you to to the wish and to say Oh, can we can we help on this? Right? But you in the prior FM experiences. It takes a long time to negotiate the data transfer data sharing with LTA that right, but hopefully, this time, it can be quicker, but it will anticipate quite a bit of process. Yeah. Yeah. And also, we're given we're going to try let's try to get the latest sorry, which I Is it 2020 or something. Let's try to find find out which year they did this.

I couldn't remember exactly but heard from someone's ecopy rolling basis, that rolling basis, kind of trouble serving, so maybe even 2022 or something Yeah, yeah. In that you have been and Jiangbo I know we kind of focus on the NGO part and discuss a lot. Could you just just quickly comment on your part whether I totally misunderstand your part or is it rotted? Right and yeah, and yeah, sounds good on my part.

Yeah. Yeah, but I I haven't got some idea regarding was the field experiment using the SMU Academy. Yeah, I think we haven't discussed this before.

No, so yeah, so that's part is only so far exists only between, like our trends. And like Sunday, July and me our discussion. So we don't have any concrete move yet. But because that's a part of a global pot, basically is a sequence of articles to demonstrate the social impacts of our project. So we in the end within the five years, we need to I understand we need to contact some a few weeks, or something like that to show whatever tool we develop or algorithm developed will benefit the single people in a very concrete way in that. So here arching is I think he directed at SMU Academy, some online like education platforms. So it's also kind of sequential learning process. There was a little later today, the topic didn t for so having, discussing how to design some experiment, using algorithm and finding from key for today help those people show but that will evolve the collaboration with Arjun team and we need to connect to them first understand more like details and account. And then we put started talking about how to make

your Archon team I think there there are two distinct roles that auction plays. One is Archon as a researcher, he's a computer scientist study this interface between the user and the computer, right? For that, that's kind of the within t for the third component, how to design the hardware software using AR we are how to interact with the computer right for that I think we just need to kind of be aware of each other right? Not the the add to the research level. It doesn't really connect that much with the thing. Then the second row action places he's the vice provost of the of the University. His relationship with SMU Academy is that there's another person What was his name again? Jack. Jacqueline, Dec. Jacqueline. Jacqueline. Jacqueline is director of SMU Academy. Jacqueline will be the direct person that will interact with to get data or do experiments. But Archie knows Jacqueline really well. And as a vice provost, he can kind of a push at it a bit to notch jack to collaborate with us. That's the condition. So you have asking you how to follow up on this. You actually just started to talk to the jackal get connect on that I think we can I will continue make that to reaching out to Jack definitely on this. Yeah,

actually actually I'm going to meet them this afternoon.

Oh perfect. I'll finally you get connect Oh nice. Meeting you in that array. Given this the first time you meet meet him there I think you should imagine a kind of a flexible way of collaborating and the many possibilities asking what type of data we can get from them, what type of experiment they can entertain us to do, but also mentioned that what how our tools and algorithm or recent results can be beneficial to them. Yeah, right. That's very important for Germany to feel motivated on this. Yeah, that sounds good. Sounds good?

Yeah. Just want to mention I got a chance to

talk with him a few times and my research interests is pretty overlapping area. So I'm thinking right now, providing a more supportive role and when he suggested or was giving right now is using the Singapore trauma survey data and allowing some background experience using the US National, US HTS data, the National Household travel survey data, so it's thinking it will be interesting to kind of we propose a inverse reinforcement learning algorithm, how we can apply this algorithm on both datasets and to cross validate. The algorithm says But no matter what I'm thinking, I'm just writing our program providing a supporting supporting goal and I'm very hopeful offered help on the processing the data. Don't want to stop and continue talking with me to begin with the skipping.

Great fan Thank you jump on that are you being the jump we're working together on this Dr. aisle will be great actually. Yeah has expertise on this right. I have two thought on that one is given that to it may take a while before we get any trelar data from LTA, right? My suggestion, that's no wait. Because the if, for example, if we if we'll write a paper which is a comparison with the US and a Singapore that is this itself is great, right? So you can start to experiment on the US data do we have access to on this right? While at the same time push for LTA try to get access to the data as soon as we can.

So I actually already shared with you being the in 2012. Think about thermal data.

Oh, hey, I see the old one. Okay, I see. That's the legacy from Bapaume right? Oh, then that's fine, then that would have been good. Yeah. So at

least the like, is not timely, of course yet. But I believe like this will share some data formats or if that's great, like, so requirements, right. So, like,

I like that. Yeah. Because using that you've had tested the methodologies on this, right. And also, if we get to the 2020 data, then you can do a historic comparison. timewise or you can compare us and there's many things we can do it will not be wasted. Yeah, that's great. Great to start with 22. Oh, that's nice.

And also, I just thought about the one like time timeline, you should think the human being will not be there until like next year, early next year. So before you were being an NGO really, like visited Singapore and I think being high still the lead person to coordinate with origins team. Oh, yeah. Oh, definitely. Okay, so

one more thing is I really gonna need to teach courses next, next next year. So I actually like I'm not entirely sure the person visiting But uh, yeah if I can't help I'd love to visit Singapore. Just yeah.

Right jump I think if you can visit then then you should I let me let me talk with kaka to see how do we figure out as a visiting professor How do we do this visiting logistically but overall I like because I for one people using it. Right so like I said, they're physically there's the better and also being in Singapore, India, you will be able to talk to LTA talk to SMU. That doesn't there's always many things you can do in person, the better. Yeah, and also by the way, the work you have on the taxonomy, I think is very relevant. So that's also a good component on this.

Okay, yep. All right. Let's move to the next one. And as you can see, we have like four or five people in key for this slide. I can combine our current headquarter level 25 altogether, and I count the number of people I feel like we just need more people. So basically, you can see in your hand I kind of currently put her 50% or headquarter level and 15% On te fi But actually she also I think work on that key for related right coordination issues. So that's a lot. And so based on the her summary, there'll be ethical AI and then network analysis as a two things. There is a topic will be mobility and economic relationships, and also the public acceptance of AI. So, so there's a lot and they have a data when you collect the career data but the last time you had mentioned is LinkedIn data, that besides linking data, actually, the second thing is some social economic base data social demographic data similar to the ACS in in the United States. You mentioned to me once it seems challenging to collect such data, but I always doubted I feel like singles will have should have some larger scale, like survey there. So we need such a data and we might need to explore a little bit.

Yeah, to try me. I have actually talked to Wang Kai the past week, and he gave me some social economic data, which has like income data for different neighborhoods. So I think that that could be useful.

Okay, okay, good. Yes. And then for data, social, economic or social, demographic data, and then create a data. And then for other to do that, like supporting other data collection, because the UI is on the ground, right? It is in sync. So whenever you have been, like, ng has a question about the data there. And then I think the UI is like so far the only point person that could help then for the use case also put it in kind of as the other use case is working with Argentina to concretize the co working experiments there. So basically, in our discussion with with our chin because this a key five of the topic is about the mobile network, right like in then, and I think Archer mentioned that he has some ongoing experiment about just analyze people's productivity, whether you use the co working like paces whether people have a higher productive or low productive because they no longer work for an office, right so the flexible mobility and the work patterns and the impact of those types of flexible patterns on the economic productivity. I think he has some ongoing that's another thing. If you win meat options team, you could engage a little bit that's, I feel like that's our second use case. Yeah. In 14 years I still like because we don't have enough people on the T five in the headquarter level. So I just put it in effect the present in T five. So based on these one page summary is about graph neural network and also general AI and a causal inference. Then topic is a focusing on mobile network and economic development, then the data 14 need to clarify there's also a large scale spatial temporal mobility data and the potential assumption check data in for this data problem. We need to reach out to some, like local data providers to figure out how to get in. Also like for the journal AI, the data we'll use, aren't those abstract data natural language, images and graph, but luckily, we already have so some data collection, those tools already set up. So should not be I hope, is not very hard. And when we transfer our data from United States context to the single part of our use case, I think at the end, we'll work together with Argentine to Concord heights with a court experiment. So I are putting my nose here. I feel like be too much going hunting need to handle we do need to hire more people for headquarter entity part because we really want to design some like public acceptance. Have a survey at a headquarter level. I feel like we at least need one more person or at least another 50% have RA for that work. And then there's some other notes, I think popping and Robert also in our forming our team. So also they work on large language models and at a certain point we should involve them to discussing general tools generally for AI ideas, which when we hire the the the person 45 second topic, we should also try to involve with Simon's team because Simon has a lot of viral inputs into the ethical AI and accounts so that's my evaluation about help otter NFP. Any thoughts comments?

Yes, one thing about the team membership right? So whenever any of us feel like I can hire a Europe student help me with some basic data processing sexual will totally support that. Right? This MIT you're a student, but we can't just write a post post a job description. Describe the qualification and we've had to do that. The second way is if you see some very good students like applying for visiting students ship we can also help with that as well. Right coming from I can manage China or us want to visit Singapore for three months is actually there's another one to get another way to get people in. Then one substance commerce are these work about the graph in your network, right? So the graphing union or if I think about this as I mean, it can be in the in the spatial sense, it could be a road network, but it also could be we're talking economic development, right. It also could be the net Ramal the corporations and accompanies right so for that I just remind me that current policy, a professor at an at dusk, on the economic geography she has been doing this game could all put the table there Leontief type of relationship between different industries, right? That's kind of the classic method right nowadays, I think you can just use the more than graph in your network approach to understand is registered among all these industries and companies, right? That could be actually very promising. So as a methodology here, right? The way though the activity walloped is actually using the classical matrix operation to understand all the relationship among so for example, if you increase a connection with a Y Combinator company by 10%, how much it will impact the entire network to the rest of the industry check, right? I just feel like he learns to the graph in your natural analysis very naturally. Oh, this

is joking. Remind me what's the name of the professor in

the one? Yeah, the one at MIT is Karen Polanski. He retired as a professor there. The while he the professor who invented the methodology is currently active. Heroin was his student, I think.

Yeah, I think I think Harris work is a quite an ode to you might be more recent that I think the incentives are as as stubborn. And the workloads as related topic basically is trying to measure the thickness of the industrial organizations in those metropolitan areas, or you could find some like nature, human behavior paper about the economic complexity. You think about it like in your organization where you have a lot of diverse English organization and equally used, it's given it some light compared to the metric to measure right. But when you think about industrial organization is another kind of network of course, we could use grab Neonode and connect with those industry organizations with a mobility or economic advantage in general. So I do think there are some interesting thing there.

Yeah. I feel like the whole literature in that way you have more than izes with today's semester ology Yeah. Yeah.

Yeah, or an afterthought suggestions. thing you can con.

It When will you get to Singapore?

Next, I think next Friday or anything and that's my dose. Sure. Oh, next is next. Saturday. Sorry, is next Saturday morning. Yeah.

Okay. I have one suggestion to me. Like I'm not in Singapore and there are a lot of people name coming in. And it's very hard to kind of match who is in what organization and so and so. So, I just made a one folder in our show folder called Singapore network and created a document called people. And I think you're really helpful. If you and Han and someone who arrives in Singapore can somehow put the people photo and also like description of what they're doing. You will somehow help me understand or expect who I should look for in Singapore.

Yeah, that's a very good idea and she I fully support the talk. I also think it would be great if we could add like just a whistle pragmatic mindset as me like how to say use and or like, what's the value to the project, like if we want to reach out like to achieve this goal like for this go no go point or that use case that's the point the person we should reach out to and if one was sick, like get that kind of data, and this is the person we should reach out to so that I could purposes, this person is the point person that will be really helpful for us either otherwise it will be some general introduction and you could find online right but if the like document could be like specific to our project that will be really good.

Yeah, because we also want team and like I've been communicating with Yun Ling about you enhanced data, but I don't know specifically what Yun Han is looking for in regards to data. So I think doing the intro between the team members is also helpful, because you only mentioned that she can connect us with the authority in the transportation. So I think there should be a lot of internal communication and what data we need should be going on. So like like we're doing right now. Yeah. But I don't have any good idea and what is the best organization of this data is so I just posted the people that I've been keeping track up and these are the organization and people who appeared in today's meeting. So help me with organizing this data, please.

No, that's great. Yeah. So as soon as I suggest maybe just add another column in terms of kind of relevance to our project right, because some quick commentary will be good. And hopefully everyone can contribute whenever you get us talking. You can have some personal add to that. Oh, about te fi right. This afternoon. Oh, Sandy. I we discussed we went from the use case this use case the local partner the most appropriate Why is EDB Economic Development Board of Singapore right? This is a very powerful organization in Singapore. I met to the their CEO is a Lady Jacqueline or we invite I will introduce Sandy to her so Sandy can can meet her during the visit, hopefully get her excited, right. And then during the meeting, if she can say, oh, assign a particular team or department to work with us. We see some physical person that that we're great and we'll follow up with that.

Yeah, I think I feel like someone needs to take notes on all those names immediately on entries documents. So like Jacqueline, like after the meeting with other types of property?

Yeah, so I will type it into the chat and then Id if for now let you try to capture that right.

So actually, there is one Sloan fellow named Peng. Peng Fei Chen, and he works in ADB. I can some I reached out to him once but I don't know specifically what I should ask to him. So I was kind of holding up.

Yeah. Now we are on that we definitely need to be exactly what we want before we do this, right.

So for instance, in this document if we can also know what other team members wants from EDB that will be helpful in me when I'm communicating with him. Not only asking what I need, but also what our other team needs.

So yeah.

Yeah, so I think for this afternoon's meeting with Jacqueline and Arjun, I will I will try to like gauge their interest of providing us with some like resume and survey data of SMU Academy, but because you are big and jumbo are the one who are working on this cluster. So if you have any specific data in mind that you want, you can also

Oh, yeah,

yeah. Well on that away, another point of which this SME academies, we can ask for their existing data, right. That's what needs the access, but the second thing is if a certain data we want they don't have is asking them for access to their students so that we can conduct Surya

Alright, guys, so let me tap on losses slides, just a structure of everything I summarize. So basically, I just want to put together all the data I mentioned, and who is that person I can arbitrarily assign to collect that data in the actual use case because they're gonna go points I want to make sure we have at least two use cases one page for the T one T file. So you can see the list here. Basically, it's a reorganization of all the data I mentioned. I think Risa tabi is rather clear. So do not re summarize here for use case. As mentioned before, it would be the SME Academy in key five the core workings permits and Bowser kind of direct connection or an archer that But meanwhile, we should as like as an early stage, we should explore all kinds of other possibilities for the use cases. But in the like, well if completed first year, we need to really write a very concrete work plan for the use cases because that's gonna work. So that should be the fraud project perspective. I have the problem I

only have a one more thing I remember is that I think you are a the Urban Development Authority. I think the because of Kobe, they start to really think through this remote working systematically. Try to introduce him, for example, at a different neighborhood or put a different office space to support remote working, or the third place was working. Right. That's another possible connection that we should look into is from ura, urban renewal, Urban Redevelopment Authority. That'd be for our short term activity pattern, right. So beyond that, the trellis theory that's actually a specific policy Singapore introduced to enable those type of surprise workplaces. Yeah, if we can get some data on that and there could be a good case study to reach out.

To me I do think maybe next time, don't you one month we should like as a group says write down all the organizer what the NGS document because I think that that connection, that document will be very, very helpful, because better will have go to the think about a different time. Then with our team, like new team members on board.

Yeah, on that. I suggest that for our that's as much as kinda as used to Google Docs, so that's easy for collaborative work on that, right. So maybe I did put it this into a Google Doc and share with the link so everybody can be inserted directly on it.

All right. So that's actually that's all I have is just a very parallel array, array and task kind of matching. Then so that I think in the future, we could just start with some regular update to the about the research progress based on the current preliminary direction. We could always reach us all the things because I believe in the first year, there's still a lot of things we need to figure out. So but other than this king house and do you have further suggestions, our next step

so I just put in a chat, the Google Docs, and I think two things would be additionally helpful, what we need expression of what we need, like you know, nation and second schedule. What meeting is scheduled in the near future? So,

yeah, okay. Yeah. And also, I think maybe for future meetings for every every time we designated a note taker, we take turns everybody take turns so far is to kind of Andy's autopilot that's taken the note by the AI but let's use that as a starting point that has a human touch to it. Yeah.

Do you want me to like summarize today's meeting and put it in our Dropbox?

Please do. Yeah, that'd be great, actually.

So yeah, my slides are already in our shared Dropbox. So you guys couldn't see that I think the slides or process that folder to find that great. Also, oh, by the way, in the slides the folder also put the your previous data, I think it was in that folder is still empty is just as I used the two weeks ago, so I want you to keep track. Those Chris presentation could be very helpful. When Jim Hua Neil Stanley want to you know, deliver a presentation to, to to smart, right. It's just summarize our whole progress. So we're using slides

or indeed here for that I this this morning. I'll try to look for it by this empty so yeah, please, everybody put your slides in it. That's the default right after the meeting. Please put into that. It's good idea.

Okay, great. Yeah, that's good.

Okay, good. Yeah. Thanks, everybody.

Thank you. Take care.