Okay, so my research is in privacy, mostly privacy of consumers of different technologies. Trying to understand what is different technologies pose to people when they use it and then come up with scale able and usable. So that's the keyword that usable solution so that people actually can use this privacy enhancing technologies. In their daily lives of using other technologies. So, let me start with a definition of privacy. What do we mean by privacy? What is privacy? And there are so there are many historical definitions and there are many definitions focusing on the modern technological space, but the first definition that I'm going to talk about is this metaphorical definition of privacy as a boundary management scheme. So that means that we have our private space and there is a boundary surrounding us and we can choose how much we want to reveal or how many people or when, which people we want to let them come inside this boundary. Another definition says that privacy is the ability to control our information, what data we want to reveal to other people. And this applies to our extends to group definitions as well like we are a group and we want, we have some collective privacy information and we want the ability to control whether we want to collectively decide whether we want to reveal some information to other people or not or other groups or not. The third definition is doesn't focus on the data itself rather the context in which data is generated. So, according to that definition is the contextual privacy as a contextual integrity. So it says that data itself is not private or sensitive, but a privacy evaluation occurs when the context in which the data was generated, and then the data in the context in which the data was used. They don't comply with each other or they violate our norms or expectations. So let me give you an example. If I go to a doctor and I fill up questionnaire about my health information health history. It doesn't matter how sensitive those data are. And I'm okay as long as the data that I gave them is used in the same context in the for the purpose of health diagnostics, for example, and not for selling me drugs or advertising. So, the context in which data is generated, it includes the data itself, the recender, the receiver, the purpose of data generation, and the transmission principle, like how the data is transmitted from sender to the receiver. So as long as this context remains same. It's okay. So, so there are these all these definition of privacy and still we are not sure how to capture all these use cases. But at least the scholars agree that privacy is important. Why? Because privacy allows us to be free. So consider like when we are not under surveillance when no one is watching us or listening us. That's the time when are when we are in our true self. But as a social species, we mix with other people we are social being and we modify our behavior in different social context right so social being in touch with other people also influences our thought process how we present ourselves how we behave in order to fulfill some social criteria and also other people's expectations. So, that's okay as long as the other people who also has our best interest in their mind so for example, our friends our family members our parents so they know us, and the amount of information other people know about us the more power they have but it's okay for for people who are close to us because they have our best interest in their mind but that's not the same for some algorithms who learn about us over time. So, and this private moment, they are very important to have creative parts. But when we are surrounded constantly surrounded by all the surveillance technologies. It creates the ceiling effect that we are no longer in our true self we cannot freely. Which is why in European countries privacy has been recognized as a fundamental human right. Unfortunately, that's not the case in the US but there are some states that are coming up with with new records like the CCP in California that recognizes privacy as a human right or should be protected by default by technology. So, and I should also mentioned that privacy is not equivalent or equal to secrecy so it's not only about trying to keep data some data secret. So, one example is like a few point you are sitting for an exam, and you are writing but you see the probably the examiner is looking at you, right it's not. The same person will also create your paper so it's nothing secret to them but still in the moment you don't feel comfortable. And often what I have found that I keep writing even though I don't have anything to write or I pretend to write to fulfill that person's expectation that I should be writing instead of thinking what you should be writing. And then the second most important factor of privacy is that it helps us to evade manipulation so again the more knowledge others have about us the more power they have over us. So, let's talk about the Cambridge Analytica scandal. What happened was, some people were able to get information of Facebook users and their friends and then they created this massive data sets of behavioral shapes, and then they tried to manipulate these people to advertisement and other other ways to to influence their voting preferences or political views. And it was possible because they could learn about certain behavioral case or psychological psychological case of these people. So, when we use good map applications for example, we reveal our homes or office and our other places where we frequently recite when we share photos, we reveal where we went for vacation. And for wearable devices that we use like smartwatch or eye tracker they can learn much more intimate details about us for example when we are excited when we are emotionally feel angry when we how many times we wake up at night. And these are very intimate details and can be so can be used for malicious purposes. And then what can we do like it's not that we can just get rid of this technology because they also have good purposes, good use cases so what, what can we do. So, here is my research so I tried to understand these problems from humans perspectives and also coming up with some solutions that are usable and practical and can be deployed at scale. So, mostly I talk I work in two domains to different domains one is on social media privacy visual data privacy and education. So I will first start with the social media privacy so what's going on there. We share images right and according to one estimate we share more than almost 2 billion images every day on different social media platforms and what happens is a large portion of these images end up in public domains and can be accessible by anyone can be different steps from the websites. They are being used to to create machine learning based tools and technologies to identify people recognize people online to track them online for visual surveillance advertising. So one particular case that came up. It's not very recently now it has been two years but so there is a take startup for clear view AI, what it did was, it escaped millions of websites and collected I think 15 million images of people. And then it trained a model and provided this model as a service so anyone can use this model or their service to check anyone else online. So that's our surveillance for advertising for whatever purpose. And it was so aggressive that other advertising companies like Google and Facebook also like came up and told them to stop or at least they prevented this clear view way to skip from Facebook and Google sites. But that was not the end of the story. It's clear view right data set when there were three billion photos it was hacked and so these three billion images are now public I don't know maybe it could be in the dark web and can be used for any purpose by anyone. So, now, it's, it's not only the case that people who use this different technology social media upset and or upload their images they are at least but also people who exercise sense of shame in sharing data discussing data themselves, even people who do not have any social media account, they are also because photos are a very rich source of data set. And when you take photos, especially if it's in semi public or public spaces, we capture a lot of other people who didn't give us consent to take their photo or upload this on social media. So, privacy is very interdependent. We can value other people's privacy and same the same can happen to us as well. And recently there has been also this incidence of meme sharing so we, we check memes we share memes. It has been, it has become a major source of entertainment online but there have been also severe incidences like people suffer consequences in this professional life or personal life or social life, because their means when vital on social media. So, this is the research question that I want, I focused here is the like how can we protect our privacy when other people are controlled, how are other people are in control of sharing our information like when we share a meme or when we share images that capture other people they don't have any control over their data, which is a severe violation of privacy so what can we do. So, the first thing. First solution we came up was like trying to identify people who should be an in an image and who shouldn't be. So, in other words, we try to classify people. Either a subject or as bystander in an image and once we do that we can easily just maybe remove the bystanders or offer them using image filters and so on. So that's what we wanted to do. But the problem was that this classification is very subjective and context different. So for example, in this image there are people they have very different visual appearance. We probably will classify all of them as subject because they are, they are performing some action as a team. So that means that in classifying them, we are using our background knowledge, our memory and our other knowledge from other context and applying making inference based on all those background knowledge. So here is a different the opposite stereo so in this image, people look very similar to each other. But when we asked, like, study participants to classify them, they came up with different levels for these people. So again, they use their background knowledge their memory and so forth but to do this classification automatically automatically we don't have the source of rich inferential knowledge. So how can we do this. So here is our approach. We first try to understand how humans conceptualize subject and bystanders and then identify some high level features like why are based on what factors to make these decisions and then map these high level features into low level image features. And then we built a classifier. Yes, I think I'm back. Can you share me. Okay, all right. Good. Sorry for the interruption. So, so yeah, so we have this high level concept and then we can ask many low level details and then try to map these details into this high level concept space. This is what we did here. So we showed images to people like you saw earlier and then asked to for each person classify them either as a subject or a bystander. And then we asked them why, why they label someone as a subject or bystander. And they gave us many reasons including like this in this photo or captured by the photographer or if we remove the meaning of the photo. So these feel at a very high level like how can we from an image machine can understand if some person, someone is comfortable or not or whether the photographer intentionally captured them or not. It's still very high level information. So we went one step lower and then we used many machine learning deep learning based models that gave us information draw information about the image or people in the image. So for example, we use one model to to to identify their body pose and then from these body pose we collected data about their body joints and angles between different links and then from this we kind of inferred like what is the overall orientation of this body. So we used another model to detect faces and then we fade these faces into a third model that could come up with scores across different emotional states like angry or happy or surprised and so on. We had many other such models we use them we applied them on images and then we built a lower level feature set about people in that images and then we found we computed statistical dependencies or we map this low level features to that to immediate or high level features at a higher level like. And then in the second step, we again map this intermediate level features to the classification question like whether based on these features now tell tell me if this person is a subject or by standard. And so here is a result so we also you experimented with many other different models different model architectures different features it. But you can see that the last row so this two step process and it has much more higher accuracy compared to these all these other models, including many like large deep learning models like resident. So, and here you can see several examples. So the red boxes shows someone was classified as a as a bystander green boxes shows that person was classified as a subject with this model. And all of these classifications are correct. Here you can see some wrong classifications so again it means subject red means bystander but now these classifications are not correct. Okay, so we have some model to classify people and there are also other computer vision based work that can detect other kind of sensitive objects like contrasting or text and so on and once we detect this models. Sorry, these objects, then the next step is how can we off cascade them or how can we hide them or remove them from the image so there are many methods like encryption you can just in key part of the images and then only people who have these different keys they can recover the full image but this kind of images are not very usable in practice or at least not in the in the context of social media because here is the goal is not to only allow some people or distribute keys to some people this is very cumbersome so that they can recover the full image rather is to share as widely as possible in some cases so the solutions are not usable in practice. So we proposed some other solutions based on offer stations like how can you filter out some of the some of some portion of these images, but still retain their visual aesthetics. So, we started a bunch of filters, but unfortunately most of them actually didn't work very well in terms of both properly hiding this information and retaining the visual aesthetics of this images. So, in the next, here you can see two examples like just blackening out versus using pixelation. So, again they didn't work very well so we came up with, we tried to enhance the visual aesthetics of images with transfer learning so you probably if you use Instagram or Facebook you have seen this like, you have a picture and you have a painting you can transfer the style of this painting to this image. So, for example, the top left and then it's a city in Germany, I think, and then you can see the small in small box of different famous painting is strictly very important for us painting, and then this picture was transfer was modified to feed the style of this painting. So this is what we did. In another study, and you can see here some example like the right person was of a skated but then also the whole image went through the visual alterations to change the style, according to different paintings, famous paintings. Okay. So, we have, so we now have some ways to detect sensitive content in images, we now have some ways to remove or offset this content, but they don't really help in this case of meme sharing or privacy privacy to memes. Because the problem here is not the content, but rather how or why this content is being shared. And this is a very much social issue, not very technical so the problem is with people's behavior. And so we tried to apply intervention approach in this case so this was a very close collaboration with psychologist and community scientists, and we came up with different priming methods to kind of discourage them to share these memes by them I mean people. So, I think you are, you have seen this kind of visual priming so when you see the left the warning sign, you can see it in in emails, for example, when the email client thinks something is a phishing email or it has malicious content so it wants you with this kind of science. And the law, the right log sign, it means it's safe like when you visit an is a website with STTPS protocol. So that means this sign means this website increase data so it's safe to use or if the lock was read then it means that this site is not very safe so don't enter your financial information for example so we have we are used to seeing this kind of visual priming that makes us. think before we take some time to think before we do something. So this concept came from actually psychology. And they call it nudging or priming and they have both good and like, they can be used for both good and bad purposes. For good purpose they have been used to nice people to eat healthier, for example, or consuming like improving people's consuming behaviors and recently after COVID came it was used to motivate people to get vaccinated. So, we tried to prime people to respect others privacy with textual priming we didn't yet use any visual priming. So, in one experiment, we asked different participants to show them memes that you saw earlier, not this kind of means but anyways means and then ask them how likely are they to share this mix on. Their social media accounts and they told us this much so this is the control condition we just simply ask them how likely are you to share this image and they said okay here. In a second condition we prime tried to prime them by asking taking into account the privacy of this person in this image now tell us how likely are you to share this image on social media. And the idea was that if we directly warned them about privacy violations the the sharing actually would go down. But in reality it went up so it was a very paradoxical findings for us so when we want people about possible privacy violations. They wanted to share more. And this was a very robust finding because we replicated this study three times before we publish this paper and every time we got the same result. And so the then the next question is then, like, why this is happening, what other factors are affecting people's photo sharing decisions in this. So, there have been many studies understanding peoples from psychological perspective like understanding their psychological traits. So we looked at a specific trade humor style. So human style means that how people use humor to either entertain themselves or to advance social connections by entertaining other people. And human style has been found correlated with narcissistic behavior with empathy. And with aggressive game years late online trolling so it seemed to be very relevant to our purpose of studying me sharing behaviors means that we potentially value other privacy. So, humor style, it can vary along two dimensions one is humor can be positive or negative positive I mean it's harmless negative means it's the humor is when sending to some other person. And it can also vary along the line of like what is the purpose of using humor, it could be against self entertainment or it could be building social connections. So, there are then four types of humor styles. And so what we did was, we collected data about people's humor style and then we tried to understand like different types differ in photo sharing habits, and then do people with different human types react differently when we prime them with our interventions on nudges. So what we did was we collected data that we clustered people according to their humor style so you can see here a two dimensional projection of the two clusters. We call it humor endorsers that means people in this cluster. They use humor a lot and for all kinds of humor and for all purposes. Humor deniers they don't use any kind of humor for any purpose self enhancers. They only use positive humans. We have three clusters and we looked at so here is only one result so we when we asked people, like, have you shared, have you ever shared any photo that might have violated any strangers privacy, and you can see that the humor endorsers, the people, this group. They share all kinds of humor and for all types of purposes. So they told us, yes, much more frequently than they told us no or also compared to all the, the other two groups. And also when we looked at what happened when we prime them with our intervention, you see that we again have this paradoxical finding, but only for one human deniers so people who do not use humor as frequently as an average person. But paradoxically when we prime them about potential privacy valuation, they wanted to share more now. So, that means that people, we should customize this interventions, according to, according to different personal details and so this is an active area of research like how can we understand those personal details and how can we modify our interventions, whether visual takes well or what, or audio priming feet, or to make it targeted and more effective in practice. Okay, so, so this research was about how people's internal factor like their personality trait affect their, their data sharing behavior. We also looked at how external factors affect data sharing behavior so one specific external factor was. When suddenly someone goes viral on social media, what happens then how their engagement with that person changed or how they're sharing sharing behavior changed. So we looked at Twitter and we collected data of 20,000 scholars like researchers and scientists for three years. And within this timeline, some of these scholars went viral for the first time after they created their future profile and others didn't. So we have these two sets of people now, so viral users, non-viral users, and what we did was we mapped these people in a high dimensional space based on their profile characteristics, based on their tweeting history and so on. And then we identified pairs from these groups and who are similar in terms of their behaviors and profile characteristics. So in each pair, there was one person from the viral group, one person from the non-viral group. And the idea was that we have these two groups and they behave the same until the viral group went viral, and then they change their behavior. So, but the non-viral group didn't change behaviors. That means the change in behavior happened because of the viral events. So that was the purpose of this matching. And this is one form of causal inference analysis like identifying the cause of some effect. So the viral events were identified as reasons for them sharing to change their behaviors. And we have some, so when we compared the subsequent behaviors in these two groups, we found some interesting results like right after the viral event, you can see the zero point is when the viral event happened. And then 15 minutes, 15 days before the viral event, positive 15 minutes, 15 days after the viral event. So this spot shows like how their tweeting frequency changed over time before and after the viral event. And you can see that right after the viral event, the zero point there was a sharp increase in tweeting. So which is expected, okay. We also found that subsequent tweets from the viral group were more factual, like more objective and less subjective, like more information rather than more emotion. And then we also found the viral group had more positive sentiment in their tweets after they went viral. We also found that the viral group had more similarity, like they posted tweets that are more similar to the tweet that went viral. So which is also probably pretty reasonable because people when when they were viral, maybe they also want more viral events to gain more familiarity or gain more social capital. Okay, so that's past research. And in future, I also I want to continue this, this line of research on visual data privacy. But I want to get, I want to expand in terms of like how can we conduct experiments so the next plan is to build mobile applications that implements all this contribution based algorithms to detect and modify image content. And the reason we want to do it on mobile application so that we can collect real data like how much actually this, this algorithm for effective in, in, in real settings and how much privacy value we can prevent like measuring the effectiveness of this algorithm these interventions in real setting. I also want to extend this research on other other context like a smart home surveillance system so smart home system they have these cameras and these cameras are continuously recording images and videos of both the owners of this technology. Okay, I think something is, I don't know. I think it has some kind of sensor.  But if someone asks questions that if there is, yeah, I can take it down. Yeah, so there are assistive technologies for, for example, people with visual impairment to help them shopping, for example, they can take images and their applications they can send these images to people to with different questions like what I'm looking at right right now is this the thing I wanted to buy or have the negative navigate so again there are privacy issues for these people, because they don't know what picture that what these what is the content of this images before sending them to other people and also there are privacy issues of surrounding people because when they they we are these devices like AR VR stuff. These technologies also collect data about the surrounding people. So how can we mitigate these privacy issues so if you are interested in mobile app development or IoT devices, let me know and interested in doing research in this area. Shoot me an email. Okay, so now let's move into the second research domain that I am looking at so this is about educational technology.  Maybe also Piazza zoom. And there are also remote proctoring applications I don't know if they're being used here or not. And there are also mobile based applications that track school children to check their behaviors and collect data about them to see if there is something to worry about and so anyways, so the the the tech market is experiencing a rapid growth due to this pandemic so it is becoming they are becoming ubiquitous and you can see the in this chart. The global tech market is expected to be more than $400 billion in 2025, which is much more than the IoT market or even I think maybe the also mobile phone market. Anyways, so, unfortunately, with this rapid growth we are also seeing this kind of headlines in newspaper more and more like the like massive data breaches in in K-12 schools or even higher educational institutes and then hacking are the other issue is intentional abuse of the data that this technology is collect for advertising purpose for example Google faced lawsuit about scanning students emails and proctorial also faced a lawsuit I think it was maybe in Canada. So these data breaches and all are these intentional abuse of data. Both have this common root code like the collection of massive amount of data so this is what we want to prevent the problem is that this data collection is often justified by the need of learning analytics so learning analytics means that measuring collecting and analyzing data about students in the context in order to improve their their learning method. So, but we want to understand if we actually need all this data to build learning analytics models. So, to give you some example of what kind of data this these technologies are collecting and how these data are being used to build learning analytics model so they collect demographic information agenda blah blah blah and then they collect historical data like past grades or past name of past institutions and so on. They collect socioeconomic status like parents income or household G code they collect behavioral data like how students interact with different learning educational technologies like how the canvas records each and every mouse click or mouse track mobility data. For example, from campus Wi-Fi or from GPS this education this technology mobile based technology also collect how people move around and then audio video data from your proctoring. Our remote class. Technologies and this data are being used to model students course performance for example, the probability that some student will drop out from a course their engagement with course material or recommend them books course and so on. They're well being their social connections so for example from mobility data it has been shown that we can. We can check people down like who are the people who are frequently getting together based on their location data or Wi-Fi data and then inferring the social ties among different groups of people. And emotional different emotional state so some of them are just pseudoscience like well being is so vague and so after concept that is there is no way. They can be measured based on just how people click to different applications and some of them are. Useful but again the question is then do we actually need all this data or we can do with less data to to less than the the security or privacy of students. So we looked at causal machine learning for this purpose so give you to give you an intuition some intuition so how machine learning models works is we feed this models with past historical data and then we use this model to predict future. To predict about our future so for example if I feed model to my location history and then I can ask okay where will I be at this time. So for example if if you see me every Friday in at a market you can and next time someone asked where I'll be on the flag on on next Friday you can with pretty high confidence you can say that yeah that person will be in that market. So there is a pretty high correlation of the day of the week between the day of the week and my location at a particular time. But the day of this day of the week may not be the reason for me being in this market so for example I. Maybe the reason is that on Friday as I get paid I get my paycheck which is why I go for shopping. So the reason is not it's Friday the reason is that I get paid on Friday. If I got pay in Tuesday I would be in the market in Tuesday not on Friday. So this is the causal reasoning like what is the reason versus what is what other things are correlated with some observation. So the for whether it's a causal model or correlation model we always the machine learning is always about learning some function so a function has an input and an output. And once we learn these functions, we can then use this function to predict future outcome so very simple case is, you know these straight lines straight straight line is a function so why equals to x plus B is a function. So y is a function of x, x and y both are variables and B are parameters of these functions. So once we learn a and B, then for any x, we can find the why. In other words, if we can learn some functions of the correlations between my, between time and my location, then for in future for any given time I can find or I can predict the probable location. So, but again this is correlation not causation so this function kind of tell whether the x was the reason for why. So, so we use this kind of reasoning to understand whether demographic data which are very privacy sensitive like gender or political affiliation or religion, whether they are actually useful or they have any causal relevance to learning analytic models. And we found no causal effect of students gender and age group on learning analytics or course performance. But we found that gender and age group. It can be inferred with high accuracy from behavioral data. So for example, they are click through data with online portal, we can infer their gender and age that means whoever has access to this data they can infer this attributes about people and then also then maybe do targeted advertisement or tracking or profiling people and so on. So we come we try to prevent this by combining adversarial sensory and constraint optimization to to prevent this kind of inference attack so just very briefly like we have these behavioral features of students. We have this neural network model with some hidden layers we feed these features and then we try to predict performance of students. So inference is like how machine learning models learns is the predict something and that it compares this prediction with ground truth, then it updates its parameters based on how wrong it was. And it does it for many times and then ultimately it learns these parameters good enough so that it can predict with high accuracy. Because we built a model with that can predict performance but then we also predicted this gender using the same model, but we tried to update the parameters so that this model this parameters over time for gates information about students gender. So in other words this at the end of the training. This model could predict performance that but it couldn't predict gender anymore so we removed sensor this gender information from this feature set. So we also constrained so if you know the constant after my I think if you took discrete math or I don't know I forgot the question but so constant after mention is you constrain the parameter space with some cost function. So in the pot you can see the cost function that we applied so the end result was we identified some features behavioral features that could be released and could be used to create learning analytic model but cannot be used to predict gender or age information of the students. So, in summary, we showed that this demographic information are not required to build in learning analytics and they shouldn't be collected we can do with less data. Okay, so now future in the along this line we I have planned to do future research in the in the internet measurement method following the internet measurement methodology like understanding. At a large scale what are the security privacy issues perceived by different user groups like students, parents, teachers, system administrators in different. educational institutes. And that means we need skills like web scrapping data mining natural language processing. Another trade would be understanding different API because this for large companies like Google classroom or blackboard or canvas they have these third party APIs. In this API anyone can build applications different applications that has access to the same data sets. So, we want to understand if these applications are abusing this API, or if there are like part party at ecosystems that are using this data set for unintended purposes, for example. And we need skills like system security data transmit like tainting the mobile mobile devices, for example, to track what data they collect and how these data are being shared with different third party APIs. And vulnerable realities of these applications. So if you are also into hacking stuff and interested in in this domain in this direction of research, let me know. And then also user centric research like again and as I told you like understanding how people perceive the risk how we can inform them about the true risk without. And, and kind of change them to properly use different technologies and different interventions understanding their psychological profiles or mental models and so that would require a lot of skill from it's the eye or psychology so again if you are interested in any of these research directions let me know. There is a if you know there is this fury, fury, or full on underage research initiative so you can get paid when you work under some research program so if you are interested, let me know. Okay, so that. Oh, sorry, I forgot the fourth shade of this research so which is mostly ML based attacks and defenses so for example adversarial machine learning so the one I showed you like adversarial censoring of. A feature set causal machine learning federated federated machine learning is very suitable in this context, because what it does is it trains machine learning models with data that resides in different institutes so think about canvas canvas provides their service to a lot of users and it trains its models using data from all these institutes so federated learning is a paradigm that can change models without sharing this data across institutes so it how it happens is it. updates the model locally or updates the model locally and then send this update to a global service without so that the global model can update its parameters but it doesn't see the whole data sets. So this is a very promising research paradigm in this domain. So here is the summary I will keep this slide on so that you can look at and let me know what you think so now I think we have 15 minutes left right so yeah. Now I'll take questions comments suggestion feedback whatever if you have anything raise your hand and talk to me. So you were asking if you have this uncensored image. Yeah. Okay, so that's a good question because there are these two different ways you can censor each so if you use any keep graphic method, for example, and in keep the full image or part of the image. It's reversible. If someone has the keys decryption keys they can just reverse the image and see the full original version. If you do pixel manipulation like with contribution models so generative models. Then it's not fully recoverable like deep learning models can recover some alterations like blood image or pixelated they can recover this image. Again, so the purpose is different. Social media context is. I see. Okay. Yeah, so I guess the purpose is different if you want to share an image to only specific people and you want absolute guarantee that no one else can recover the original image then the keep graphic method are more suitable. But that is not probably very applicable in the social media context for the purpose is I want to show this image but I also want to prevent unintentional leaking of information for that about myself or other people. And in that case the filtering method is more. Yes, so that's where the mobile application research area comes in. So we want to give these people this ability to quickly and automatically detect and offset content. But they can also have the control like if they don't like any specific operation or they think they don't want to actually hide some stuff they can just share this image. Yeah, so I can read this question from zoom actually thank you for this question. The question is what led you to explore this research it is so valuable thank you if there is time. Okay, do you have any concerns about the Mozilla Facebook partnership. So the first question why I did this research, it was actually very personal years because I was very I felt very annoyed when other people took my image, especially my friends that I didn't want to share. There is also this large area of research like how people negotiate when there is a group ownership of images for example so then how they how do they negotiate ownership and sharing preferences because if there are multiple people in an image. They often do not have the same privacy concerns or same privacy preferences so how do they collectively decide how this image should be shared. So it was for me it was very personal I felt like this is an important area of research because at personal level we have this social or professional problem but at a higher level we have this collective issues of mass surveillance tracking and so on. So that motivated me to explore this this research area and then the partnership is this is unfortunate and of course I in general I worry about like how much we are being controlled by this. Corporations who donate for example to to to our research or who build this kind of partnerships with non non-profit organizations or research institutes and then dictate how we should do research. So yeah this is concerning. A recent story I can tell you is so there is a very famous researcher who does research on this educational technology space regarding students privacy ethics surveillance and so on. And there are two conference venues LAK and EDM so education data mining and learning analytics and knowledge. And I don't remember which one but one of them so this person was invited for a keynote talk at one of these conferences but he declined because proctorio was one of the sponsors of this conference and proctorio is the most invasive. According to this researcher and also many other people and so yeah this is unfortunate but we need to we can just do our best to to kind of maintain our own independence in in how we do research and what we focus on. Any other question. Yes. I think so. I mean it is regarded as a human right in many countries. Most of the European countries and they they have this in their constitution like you cannot collect people's data with their you probably have heard about GDPR which is which dictates like how different online platforms should be collect people's data and share them how they should obtain their consents and so on. We have here in California CCPA is somewhat similar. So if you go visit a website when you are in California you will see different notice about your privacy choices than you are in any other state. Same if you are in an European country will see a lot more like warning signs or a lot more options to choose from like how you want or what data you want. Do not want to share or so but that's not universally true in the US but yeah I do think it should be regarded as a fundamental human right. Because like how so again these technologies learn about us and then we also turn into this technology towards these technologies to for example when you go to YouTube when you go to Facebook or Goodreads. The algorithms decide what you should read what news you should watch what book what movie you should watch. That means that they not only dictate what we should think but also how we how we should think right. So that's scary and we don't know much about this this recent development of this huge complex algorithm like how do they work. There are a huge area of recent like ethics of algorithm or fit fairness of algorithm because these algorithms decide many important fact issues in our life like how whether someone should be given alone or not. Whether someone should be allowed to go on a parallel or not in the criminal justice system. Yeah that's so I mean these are as important as our food or clothes or medical benefits that that are our fundamental. So privacy should be regarded as a fundamental human right. Question comment. I think we are almost out of time so again if you have any question comment you are interested in research should be an email. I think we should pack up right.


What I'm seeing more and hearing more in the trenches is a lot of fatigue from instructors because, you know, instructors feel like they're being asked to design what we call emergency remote teaching versus truly developing like an meaningful online learning experience. How do I design online learning so that it's more interactive and it's more student-centered? At first I think everybody just focused on, oh my goodness I need to get my content out there and Zoom was a quick and efficient way to do that but one of the things that online learning and especially like LMSs are really good at is automating content delivery so that instead of us as instructors spending all of our time just delivering content we can actually record that, let the LMS, you know, deliver that asynchronously for us and then that frees up my time with my students not to lecture with them but to really spend more time like working on a design project with them brainstorming that through because when you stop thinking about technology and online like Zoom as a stop-gap measure then you can start to move into really meaningful problem-solving. Our predominant paradigm for how we are thinking and planning and designing courses should be centered around flexibility. Instead of students having to join for say a two-hour, three-hour window during the week which this begins to add up across courses that that flipped model can really be helpful in this idea of flexibility and then maybe participate in asynchronous discussions or you know activities, collaborating with peers either in the LMS or in Google Docs and then create optional live sessions that are really much more focused on community support, engagement, like asking questions, being available for students. I design my own courses to actually be almost entirely asynchronous because you know our learners really need that flexibility and that that adaptability. We keep them on the same pace the same schedule week to week but within the week and how they complete things is more flexible for them.


Thank you so much. What a wonderful opening session. Thank you so much Director Sanu. Thank you so much the distinguished panelists for very Interesting insights Thank you, Mr. Mahaldeen for the three bees and the the Excitement that you have generated by committing to the human capital Project, which we clearly believe is going to be the hallmark of what should happen in the in the near future I'm clearly the odd man out Come from the industry. I have I belong to a company that for the last three decades Has been an enabler and an intermediary in enabling technology and creating Platforms and solutions as the world of telecom as all of you know better than I do Has really evolved. I'm also the odd man out because I'm using the age-old technology or PowerPoint because I want to see if it works Or rather it still works as we talk the new technologies. I don't know which way I'm supposed to point Right, maybe if you can click on it So maybe we can click on all these No marks for guessing that the role that the telecom industry has played over the years to the data that Miss Loughlin was was presenting about the penetration that has happened in Australia I'm not sure if mr. Sharma from India is here But but he would attest to the revolution that is taking in taking place under his leadership in India is all around What people and humanity has been able to do? Thanks for the role that the telecom industry has played If you can go to the next slide In a sense the words that you just heard from the distinguished panelists were essentially alluding to one Simple statement that the world that we now live in the world that we now play in and the world that we now work in Has been exponentially dramatically transformed However, we have probably just seen the tip of the iceberg The world is likely to dramatically change yet again. Thanks not just to the three very important technologies that are That are the matter of discussion next couple of days but also Because the consumers and the customers of tomorrow some of them who are not even born yet are Going to continuously going to be hungry and thirsty for platforms and technologies and solutions and services that have hitherto never ever been seen in the past And if I were to To just take a few recent examples. I'm not even talking about Very much in the future if you can click to the next Maybe we can click to the next please three big driving forces That are going to impact the telecom industry and hence industry and mankind is one And I think you alluded to miss Loughlin about the investments that will happen in the next generation of networks networks that are going to be intrinsically intrinsically more smarter intelligent cognitive Faster and more powerful because they will have to connect devices that have never ever been Manufactured in the past and because the better in which Data and the type of data that is going to be consumed on Smartphones or smart devices and some devices that have still to be invented is going to be if these three driving forces Are have to be taken care of? It is going to be An understatement of the century that the telecom industry is going to be right at the core to witness to Participate to enable and to facilitate this transformation as you go forward if you can go to the next Just make one more click Tonight is my most awaited Portugal football match in which my Rolando would be playing and I will have to miss it because of my office We don't give enough free time She loves to follow football. She loves to follow a certain superstar and She usually gets to watch this Only after the event is over much much later after the event is over because she is working The fact is that today Data and data Synthesization is possible the fact is that IOT enables a message to reach Anywhere any time on demand and the fact is that we now know enough about this young lady called Swati So if you can go to the next click You may not be a fan of Ronaldo, but this lady is What essentially can happen and is happening today is this Video clip which is no more than any other data packet that A consumer can enjoy However, beyond the usual data traffic a service provider is not Essentially, there may be some exceptions in some part of the world more often than not is not able to monetize Something that can happen now, which is by hyper personalizing trying to understand who this young lady really is what exactly are her likes and dislikes What exactly is the service that she demands and being able to deliver this service to her there and then? You probably the industry probably has an opportunity to maybe Monetize this very simple application if you can go to the next one What you see is a picture from Indonesia Or for an end for a local championships around e-sports an industry that Amazingly feeds off an industry called video games. Those numbers are staggering that you see these numbers In comparison to these the numbers from the historical industries like cinema and audio and professional sports pale in comparison and Yet e-sports as an industry is at its infancy stage Now just imagine the power that the telecom industry can deliver to this industry and Participate in an industry like this and this is just one of the many examples because the the underlying premise of some of these industries is connectivity if you can go to the next slide and similarly you really can take opportunities and advantages of Of the complications that will be delivered In a simplistic fashion because connectivity AI and IOT are all going to be Harness together if you can go to the next slide Which really points to a very simple question that I have the world that I come from We have You know thousands hundreds of thousands of gods and goddesses and the word God in many ways Define and conforms to things like the supreme the powerful the The one who can solve any problem But at the same time sometimes who who does not deliver what you know when somebody wants it Too many it sounds like the telecom industry over the years has played the role of God But then somebody reminded me that the people who really enable the telecom industry are indeed the regulators So I may I may like to believe that I am amidst right now the gods and goddesses of the industry And I hope that all of you Will combine and make the policies very agile To make all the possibilities that you saw on some of those videos Indeed happen in time to come and most importantly Deliver them in a fashion where the world the humanity and the industries feel extremely secure. Thank you so much for this opportunity


It starts at Vanessa, it goes on at 4.30 to start a presentation, it's like I get ready with me. They said don't come and make a bomb, so of course you girl can let the skin do the talking, so I'm not going to be too late. So that's our gift to you, you can take that with you. You can also take the brushes and any other product that you see on the table that is Vanessa and I are going to share with you a whole adventure and she has been doing textures in 10 different shades from Europe, so it's constantly in one palette and it's really gorgeous and it launched this week, that's why we're here. And we want to get ready with Vanessa, so she's going to come up here and do what is really covered in time with Vanessa, but she teaches one of her master classes, which is why you see all these lights, right, because we're so so you can get everything you want to do with your face right, and that's what Vanessa is going to share with you, is to get ready with Vanessa Tore, she's going to talk more about brown working and how to get ready. So for those of you that aren't super familiar with this brand, Vanessa and I are communities all about beauty without boundaries, and for us that means the community that we surround ourselves with, the community that supports us and that we support, and the type of products that we create that are multifunctional, and that's what brown work is all about. I do want to give a couple shout outs, that I do a shout out, so first of all, thank you so much to Moches for having us here with us, to learn from Vanessa, to learn from us, we're very excited about that. You know, Vanessa really believes in spreading love, the DMB way, and that's why we're here today. We're here to hashtag Get Grounded with Brown Work, and I want to show you a video that really shares the inspiration that Vanessa had behind Brown Work, so if you'll just pay attention to the screens for a moment. I'll further ado y'all. See you! Beyond that, this is actually really emotional for me because I don't know if anybody here knows me from when I started in my career, but I started here in Atlanta. Like I would pack up my car, I'm stuck to the top of it, drive 13 hours down here to Bronner Brothers, sell my little pots and everything at the bottom of the show, and drive back home. That's literally how this brand began. So there was no other place that I thought fitting to start this experience, this tour than here because it's a place I love so much. The people here in Atlanta have so, so deeply into me, my family, this brand. I'm just incredibly grateful that you all are here today. It's very special for me, and thank you for sharing this moment with me today. Okay, thank you Liza for that intro. It really reminded me a lot of why this product came to be. I've been in business now for like 23 years, and the journey has been an interesting one. I've had an opportunity to travel all over the world and meet all different types of people and experience everyone. But I never forget actually how I started as a makeup artist. I started very broke, a single mom of two with no money trying to build a makeup kit to build a career, and I used to go to Walgreens by 99 cents pencils and cut them open and spray off the lead, note it down, and make my kit. And so that's really how my artistry began. And so early on, I had to get very creative with how to use texture, how to use color, because I couldn't buy things. But I love that I started that with what really broke because it just makes you really creative. It makes you think about things differently. And that's really how my artistry began. And this palette is really a reflection of that. It's a reflection of me going back to the very beginning, going back to the roots of my artistry, like how this all started. And it's really me thinking about all the people that I've met across these 23 years. I know people like the best friends of mine who still are like, I don't know how to put on eyeliner. Like, I'm like, I keep trying to take you out of here. You know, I have friends that they only put makeup on with their fingers. And then I have, you know, pro artists that I've grown up in the business with and everybody in between. And I wanted to create something that everyone can experience and it feels super purposeful, it feels important, it feels necessary. Part of this whole grounding experience for me, this palette took about two years to make. And for me, if you follow my journey at all, you know, I just recently launched in Tefora, there's been, that's a whole other thing. The business of beauty is kind of crazy. New products launch every second. And you've got to be bigger, bad, faster than the next person. And we've been launching some really cool and exciting things. But I felt personally that I was kind of getting caught up in all of the noise. Like, I wasn't feeling grounded at all. I just felt like I was chasing and reaching and like, it didn't feel like myself. So a lot of what you feel and experience in this palette is me getting back to me, me grounding myself and my audience. For me, I make makeup because I want people to feel confident in their beauty experience. I know for me that was not my journey. And I won't even begin to talk about that because I get very emotional. But beauty for me in my journey as a black woman wasn't beautiful. And so so much of what I try and do is to kind of erase that experience for anyone that I've come in contact with. I really want people to find joy in makeup, joy in beauty, joy in expressing themselves however it is they want to. And feeling confident that they have something to use that can make them feel that way. Like they're not afraid to use. It's not scary. They know it's going to be the right colors. That's really what this palette is. Everything that we do every single day to ground our love. I know there's people in the room, if you're like me, the brows. I've got everything else can be gone, but I need a brow on us. I need the brows.  Well, all of those browny rituals can happen right in that palette that's in front of you. So this is brand new. The thing, the textures that you can feel in this palette are never to be seen anywhere else but in that palette. And I really want you guys to play along with me as I talk about it. Feel free to open it up and touch it. It's a pomade, but it's designed to feel and apply like a powder. My entire face is that palette. My house, my smokey eye. Everything is that palette. So it's going to be a little different than anything that you've experienced before, but just know you spent two years making sure it's going to work in all those places. So when you look at that palette, can you see maybe your brown color in there? Yeah. Can you see, like, a shade that you would use to make a sculpt with cheekbones or bronze your skin, where you would make the smokey eye? So this palette is designed for you to live in it. Now, right next to it is something that we call a shape and fix powder. And we say that because if you go back to the basics of artistry, any pro that you fall in love with, actually the first to use that ingredient in the way that we did in all of cosmetics, which is why we want to put more for that product. And so this is a unique expression of it also. Because if you think about when you use powders on your lid for shadow, what tends to happen if you're oily? Right? So up to like that particular ingredient, it absorbs oil and sweat throughout the day. It does it more than any other product in beauty. It has the highest absorption level in beauty. It also has the highest blurring index, which means when you apply it, not only are you absorbing the oils, but you're also blurring and spending the skin. And when you use these two things together, it's like, it's crazy. It's like, I don't know, it's like kryptonite. It's like spinach. You can layer them any way you want. So I would love looking at this kind of get ready together. You guys want, you have questions there. And I just want to kind of walk you through. I'm going to show you one of my beautiful wow face, exactly how to use it. I've waited at Sephora. She was like, um, testing me, saying, some of us, I guess, put it on. But I'm going to show you how you can use these pomades, these velvet pomades, and the owls. Like to you, but what I want you to know is that you don't have to dig into it. Oh, chisels. She's taking the pop and putting them on her face. I'm going to do, I got to put some yummy skin on first. This money frame. Don't be like, she's in a WMU. Okay. So let me try my face.  Yeah, I'm about to right now. Vanessa, we got to catch up back. We have yummy skin on. Don't you like the smell? It smells sweet. I thought I was trying to, I'm like, Yeah, I can smell it. They do eat. Now, you look at all of the brushes that you have, you can do this exact same thing. So you need to use that same shade or maybe one slightly lighter. It's fine. So right now I'm using a grease brush and I'm just going through the owls of her eye here is kind of different from grease. So something that kind of looks like this. How many of you, this is the brush that you're used to using on the scope of your eye, maybe contour your nose. What are you doing on that? No problem. Is it 40? No idea. That's so good. You're doing great, sweetie. So before we get us to have you do a round of your life, perfect life shape and shape in the palette. Yeah. Which one? Sandstone, sand for concealer. For concealer. And you're way ahead and use it as a bronze. So let's say if you use Harvest to contour and then you want to come to core and use it as a bronze right next to it. See if you can identify a bronze in general. And the fact that I didn't have to keep going back into it, like literally I put it down and that went to like my brow or something else and I used it and I wasn't thinking about putting it back. I'm just gonna blend it out. It's still had product that went. I love that you said that because all these shades are eye-same.  Wait, is there like a... Oh, here it goes. Do we get to keep these brushes? Can I keep the mirror too? Sandstone and Mirage. What's that? The bigger side. Because it's cream. I'm gonna keep going. So basically I'm just kind of shake your face out using water. And add a little warmth to your skin. I'm gonna show you how easy it is to line a smoke with this palette. This is crazy. I mixed four with Harvest. Don't play with me yet. Wow, this is dumb. I'm about to use this end of the black. Owl shot. Too strong to speak. It's like butter. Okay, y'all sorry? This is garbage. That's a lip liner. So I'm gonna use this right now. I'm curious of what your mind or experience is when you try with the mommy. Ooh. Position where it needs to be black. Black. So nice. You are okay though. Me? Really? Really me? I actually don't know. I want to strip you. The other is killing it. She ain't come to our thing with it. She's killing it. Okay wait, let me put my eyebrows on. Yes! It's beginner friendly. Love that. She said beginner friendly. That sounds like me too. I want you so to use it as a liner. I want you now to take my eyebrows. Maybe as a smudger brush. Let's see. I mean, what's fast and fast? No, no, no. Shades, right?  I started off this. Okay, so I'm gonna line it up. I'm gonna try it on. I'm gonna better it out. As you should. You can talk about a little bit. The perfect shade is how controversial the shades are based on every skin tone. Absolutely. And that really is where that curation of colors came from. How many of you have found that the perfect shade that you can use for a lot of new dates in the palette? What are you using for? Color correction. Oh yeah, that would have been good. Under eye, dark circles. If you are a pro makeup artist, just say that. They weren't able to do before I was new. Okay, tell me that. Makeup! We're making progress. I feel like I'm getting somewhere. Yeah, you're cute. Don't do everything. Chelsea, let me see. Don't play. And I told you with the eyeshadow. What do you think? It's all you need. I did a little one. Yeah, a little beautiful. No, she... She found all this. Can you see like? Yeah, I just put it under my eye. I don't want to change. So all you're going to be doing is building the light. I used the shimmer as like a brow. Like this one. So you can use it as a line. But really it's just changing, too.  The shorter the hairs, the more color you're going to get. Now, I'm going to put a little spoon. I'm going to put this as my lid. I don't know. I'm going to do this. This is going to be my lid. This is what this is. But I'm going to do blush first. Cute. Let me do something. I'm going to use this. I'm going to use this. Now I want you to know a little bit goes a long way. Where? She knows what she was going to want. She made that color. Oh my gosh. She is so cute. Do you want to play? Yes. I love you. And I really appreciate you guys coming today. It is the next day. I'm going to go to church. We need to debrief on the event I went to with Denisa. She is such a lovely woman. Inspiring. Love her story. I'm running. I need to go to church. This is my outfit. Super cute. I have on this white button up from Zara. I got one on to New York once. And then my Chanel Roche. My Chanel bag. And then my Amazon sunglasses. And then my Chanel earrings. Anyways. I'll check them out after what I get into. So yeah. Hey y'all. Just got out of church. Oh my God. Such a good ceremony today. Y'all. With God's grace. He's going to get you through. It was such a good service. So now I'm on my way to Kroger. I thought it was going to be sunny the whole day. But it's getting gloomy. It's been raining ever since I got back from Atlanta. Which was yesterday. Rain yesterday. And last night. I think. Yeah. But I don't know. It's getting gloomy out. But y'all. I'm about to go to Kroger. And I'm getting it. I'm about to get these turkey links. That I had when I was in Chicago. Because I visited my cousin in Chicago. Because she's a delta. And And she invited me to a game. A football game. And it was like a tailgate. What's going on with all the Greek people. Oh. It's not even right. They had food. Obviously at the tailgate. And oh my God. The turkey links. Baby. It was. It gave like sausage. Hot links. My granny used to make all the time. I love a good hot link. Y'all with some bread. And it's like. Oh my God. It brought back so many memories. I'm like craving that. Right now I kind of want that for my Sunday dinner. You know with a little potato salad. Maybe a little baked bean. So I'm probably going to make that. Later on. But yeah. I want to get a coffee. And I'm going to do some stuff today. But real. Talk to y'all. Later. I guess when I get in Kroger. In a quarter mile. Good morning beautiful people. Today is Tuesday. I forgot where I left off in the vlog y'all. But yesterday Monday. Was such a productive day for me. And I was filming for something else. And look at my nails y'all. I'm really out here. Bear. I'm on my way to go on my walk now y'all. I love my morning walks. This is something I look forward to. And yesterday I made this fire toast. I gotta go get another tomato. So I can make it after my walk. But it's so. Good. I'm on my way to go on my walk like I said. And today is going to be another productive day. I'm really just catching up on a lot of things. Cause I was out of town. Visiting my mama and my family. And really just being present and loving on them. So I wasn't doing any work. I was editing. I put up my Turks and Kekos vlog. But then after that it was really like on shutdown mode. So now I'm just in catch up mode. So today I have to actually film content for House of CB. They're having a grand opening on Thursday. Which all the girls are going to. We have group chat. So I like that. I have like group chat with all my friends now. Like our whole group. So if like it's something that we all want to do. We'll just send it to the chat and be like okay. I'm down instead of actually sending stuff separately. You know what I'm saying. So and it's all good vibes with all of my friends. Which I love. I just really am so.  Maybe I should. Maybe I should walk in bucket. You know that means that means beautiful. Gorgeous. Like wow. Dark chocolate. Yadda yadda yadda. Yadda yadda boom boom. I don't know what I'm saying right now. That man just really like. But I guess I'll check him and try. But it's been a little later. I showered. It's crazy how I just showered just to go to work out. But anyway. Trying to get that dirt off of me. Oh my god y'all. I'm so sleepy. Y'all think walks will not do it to you. I swear y'all. Every single day I walk. I don't know. Maybe combination with me walking and the heat makes me so tired. I want to go get my eyebrows done. Brows by Mila. I had to get this hair off baby. Okay. Y'all I was like oh my god. So I'm like okay. Let me take a shower and I'll soak a little bit in a tub and relax. Video for House of CB. So tomorrow morning because I wanted to come to my workout because I haven't been to second bar in like two weeks. So and it's a little baby rise. So I'm definitely you know getting in here. But I just be trying to jam pack everything in one day thinking I can just do it all because like creating content is like second danger to me now. So I'm like okay. I can get it done like that. You know what I'm saying. Like go in the store record whatever. But I can't keep doing that because I'm my own editor. I'm my own videographer and some more stuff. So I need to stop thinking I can do everything. Y'all because I have stuff to edit tonight and get ready for the week because I really don't want to do anything after Thursday. I just don't. And after this party and stuff and then like all my homegirls is going. So who knows what the night is going to be like and then how I'm going to recover the next day. Like I'm at the point in my life where I need to think ahead and I know myself at this point like even me going to the grocery store I'm like you deserve a break. Relax chill. Because going to the grocery store is a sport. Leaving the house is a sport. Oh my god. I don't know why I literally was after this visit from home when I came back my energy levels have been like this. I feel like I've been go go go and I feel like I was feeling so good and now I'm just feeling like what.  Get it cracking. Get it done. Good morning y'all. It is Wednesday. It's such an awkward day of the week Wednesday. It's so awkward. I was about to go to this 9 30 yoga class but I literally was walking out the house at like 9 19 and I was like let's be realistic because I'm always like rushing and I'm like just go to the next class okay. So I'm just about to drink my tea take my vitamins and do my affirmations. I really like to just do my affirmations before I even log on to like my phone and stuff like that. I really just need to I like to show gratitude and appreciation every single day and the growth and obviously yesterday I don't know I was in my feels. I think it's like the week before my period so I was in like my feelings. I just sometimes overthink and I'm like Kyra stop. Stop the Kyra. Everything is on God's time from one living in my prayer that I've prayed about for you know so I need to I'm always wanting more but you know like I said it's God's time and I just got to show appreciation and gratitude and yeah so and that's why I wanted to go to a yoga class just to Woosa cheers about to drink this tea and today I have to go to the house to see me get that content come back I have a vlog to edit and look at the footage edit some tiktoks and then hopefully today I'm supposed to be shooting another thing with Royals today then I get my hair done tomorrow for the event and I really just been loving my ponytails I've noticed like my hair is really growing I'm able to do my like I restore I've been taking my hair gummies from I restore every single day too I just noticed such a huge difference with my curl pattern body body it's crazy how the low impact workouts really work start walking every day just like the small things and do stuff that you look forward to you know what I'm saying some people don't like going to the gym so they're like uh well I don't know what else to do I enjoy walking I enjoy going to yoga I enjoy going to cycle bar I look forward to them so I feel like everybody should find what works for them and I feel like I found a team that works for me and yeah I've been loving it and also you gotta let that fucking thing go like that's just the reality the weight was just not moving and I was like stressed and not happy cause if you're not love right should just be going down here but anyway I guess I'll check in with y'all later cause I'm about to sit down and do my affirmations I'm at the tailor I'm getting something to do and I want some so I just got some clothes tailored um I wanted to get this dress tailored because tomorrow obviously we have to warehouse it CB for the opening party and I ordered a dress online from them that I was gifted and it was a little big on me um I like how it fits it just needed to be a little tighter and I wanted it to be a little bit more flattering you know um I do have to put some socks in it so my boobs can be boobin um but yeah I had to go do that real quick before I head to my yoga class and hopefully this yoga class y'all will give me some type of relief cause I am having high anxiety right now I'm a little overwhelmed for everything that I have to do um I did go to a breath work class and I've been trying to do my breathing treatments which is breathe four counts in four counts out so I'm really trying to decompress but I don't know y'all I really don't know what's wrong with me today I haven't even had coffee to you know help and I really like this teacher so and then after I'm gonna go home relax make some breakfast and then um head over to house of CB and then my nail appointment today but today is gonna be a good day I'm claiming it maybe I should take a ginger shot on my way to go get my nails done finally it's four eight I'm running a little late but I'm almost there um I'm between two sets I kind of want to get this grown sexy cherry mocha and then I seen this like brown glaze honey glaze donut color I think it looks so cute but I kind of want to get the the the the cherry mocha and then I'll probably but my tan will probably look so good with the the chrome I don't know maybe I'm I'm gonna maybe I should just go with the first set I wanted to do which is the cherry mocha um it's just so cute I feel like it's giving grown and it's giving what it needs to and I'm going to this event tomorrow with house of CB and I feel like I'm generally my inner grown with the dress I'm wearing y'all seen it when I went to go get it tailored a little bit I'm just really like feeling crazy right now y'all like but the yoga class that I had earlier today it felt so good like to release all that stress and it was such a good class like it was so good today but yeah after that I'm gonna go to the mall but yeah I'll check my child once we get inside Tim let me text him and tell him I'm pulling up and oh my god y'all the new fancy um body cream baby I'm glowing okay um it's a whipped body oil cream just like the butter drop smells so good it's it's I like it it's giving like a musky tangerine but not too much because I'm really not a citrus girl um but I really like how this smells like you probably won't even need to wear with like a perfume but it's really subtle it's not overpowering which I like so you'll probably will be able to power with I mean pair with the perfume but if you were like on one of them like I don't want to spray perfume I just want to you know let my body cream do the talking this is what you'll put on um and this smells so good I'll have a link down below but yeah I have a sponsorship to do with them too um yeah I just have a lot to do yeah I can gotta feel your play if you ain't gonna eat it up eat so let me stop complaining let me stop thank you god thank you thank you and then also in the yoga class she was saying it's so crazy when I go to these classes and they say things that I need to hear and like I told y'all earlier in the video like I was getting emotional and I was over thinking and you know I just want more but I am living in my prayer so I can't you know complain too much and it's just naturally to it's just natural for you to feel like that you're a human being at the end of the day so in the class she was saying like you are a human being and you have the right to feel how you feel and you are going to live an authentic you know human life and that is literally my life to a hundred percent like I don't try to fake nothing I'm a thousand percent authentic to myself and I just try to be like you know show the real as much as I can without you know showing too much you know what I'm saying um but yeah cause we all go through shit we all are human and it is what it is and we gonna get through it okay we we're human we you know so but yeah I'll let y'all know once I'm getting inside oh my god I cannot wait to go home and make my favorite snack like I'm so hungry all right y'all just left house to cv I got another dress option but oh my god y'all what I got white makeup on my shirt put on my shirt back on I forgot I had make up on so anyways I'm going home let me go to Nordstrom real quick I thought I think I need to look at these shoes real quick y'all I just got to the best buy I gotta get a GoPro um and I gotta get a new memory check oh yeah they just came out with a GoPro 12 but I'm getting the 11 so y'all I just got to Royals and if y'all want to hire a royal he got a team right here one stop shop they kind of they kind of weird though but they'll get the job done it's the one over there that don't want to laugh at my jokes so that's okay I am dead what's good man you know what's your boy now that you're a boy I'm digging the waves you like it you know my Dominican side is coming out I thought you was African I'm African Dominican but I like the more sort of African side you know just the best I was asking because sometimes I might go around a Dominican I might turn Dominican on their ass I go around some Africans but yeah you know there you go I'm seeing you with me I'm trying to see how much y'all see that on a whiteboard $20, $30, $30 okay okay yeah fire fire fire follow me my fine signs alright here yeah that's fine yeah that's fine that's good right here who I be using sometimes if I show you this I'm going for $20, $30k weeks I ain't showing there's nothing giving me no deal y'all if y'all if y'all want to get a whiteboard I need to get a whiteboard like that I got to reach y'all gold $20, $30k weeks touch them manifestation is real alright I'm back here that's fine believe it it's gonna happen that's fine that's your word for the day so I just put them on my favorite Indian spot how was it you were good I ain't okay that bite says it all how was it I'm sorry did you just take your hair out to be hidden in the camera are you crazy as a girl that's crazy you don't know why you're like hey but anyways this was a cute little meetup I'm about to go home and get ready for bed so I'll check in with y'all probably in the morning hey y'all I just got home my nails I'm obsessed they match the fancy packaging y'all this smells so freaking good but anyways I'm about to go to sleep I think I'm about to start my period I feel my friends coming on but I'm about to get my hair done tomorrow and y'all have been going crazy with wanting to send me hair which I'm definitely open to getting hair until I get on contract with a brand and to be their ambassador babes like if you have a hair company let me know cause I'm always getting my hair done every single week but yeah this is from my girl two eleven hair Arlene thank you pool love you y'all just sliding the DM to my girl thank you girl and this is her instagram I'm gonna put her instagram on the screen and oh my god the hair is gorgeous gorgeous so hydrated it ain't dry and I can run my fingers through it but I can't wait to get this installed in the morning I'm going to sleep I'm sleepy and this is probably going to be a natural install I see eighteen twenty four oh so twenty eight in here and then it's gonna be cute anyways I'm going to sleep I'm tired I have a long day and check out later on weekdays I'm out here looking like a mob but the weekend is here baby and it's time to get our hair done there are two things I'll get up early for one being if I have to catch an early flight and two if I'm going to get my hair done so I hate with my hairstylist she told me to be there at eight thirty a.m. sharp I definitely was in that parking lot at eight o'clock looking like a mob waiting for her to pull up bundles I'm using are from two eleven underscore two eleven I believe on instagram oh my god these bundles are so bomb so full so pretty I get my hair done every single week because I get quick leaves today I wanted to do something classic I wanted to do like a side part I was kind of scared and nervous because these bundles were full so I didn't really want the install to look too wiggish or unnatural my girl Deja was going to get me together that's one thing about Deja that I love anything that I asked her to do I may have some scraps of hair or any type of hair she knows what kind of look that I'm going for and she literally hits it on the head every single time my hair just sits so right and I'm now ready for the weekend so I just got my hair done by Deja it looks so good and I know we got the house to see the event tonight it's still early my airplane was at 8.30 I pulled up at 8.40 I'm out at what 10.50 something I was just like wow she's amazing okay so anyways it's still early so I'm going to go give me a green juice and I have to go get stuff to make my smoothie I like to make I ran out of blackberries and coconut water I think I only have one yeah so I'm going to get stuff for that and then I'm just going to go home and edit what I have to do today relax it's a little gloomy out it's not really giving me any type of motivation so yeah I have to edit turn stuff in edit some more and yeah just relax until the event so yeah I guess I'll see y'all later on when I get like dressed and stuff because I still have to go to the tailor and pick up my dress still um even though I did get that other dress option I did get a second opinion and they like the first dress better that I had that I took to the tailor so I'm just going to end up wearing that one um and yeah save the other one for like a date night or something like you know a first impression date but anywho my hair looks so good so good baby yeah and I have on the Fenty eavesdrop stick y'all need to get it okay it's definitely giving skin okay I'm so happy I got it in two colors for my tan now and then with my tan face off for the winter time yeah don't ask for your favorite rapper okay y'all so this is my look for tonight I'm going to just vlog off my home but obviously the dress is how to sleep on my Chanel bag Chanel earrings and then I just want to speed matting but yeah I'm running late so I'm just going to vlog off my home y'all seen the story yesterday and yeah so cute but I gotta go what's going on man what's really going on I'm not talking but it's my spot anyway we finna do some cinematic shit is he wearing gentleman clothes and talking about that oh shit oh shit look they have me on an episode today of under a couple billionaires so I just be patient I need to get my foundation off what do you have to say look we about to do some cinematic shit you see we got the gadgets out here ear big K yeah I kinda see what's coming