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What's up everyone? Coach Tony here. In
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this training, we're going to do a
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special collaboration, special training
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on how to do research in high school.
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So, if it's a very first timing, this is
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a special collab event between two
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incredible groups, uh, Eagle Lock,
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College, and Lumier Research as well,
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too. So, I'll be one of the
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co-presenters. My name is Coach Tony.
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I'm actually a former UC Berkeley
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admissions reader and our team has
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worked with thousands of students over
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the last 16 years to get them literally
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everywhere. You top UC's, top privates,
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top tier colleges, MIT, Caltech and
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everything in between as well. So today
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we're going to do a quick little uh I'll
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share a little bit of why you want might
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want to consider research as part of
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your journey. And for those who did do
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research or will do research, uh I'll
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teach you guys how to share it on your
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application. That's only one half,
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right? The main event of this
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presentation, we invite our very awesome
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friends over over Lumiere. I'm going to
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let Maya introduce herself. Hi
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everybody. I'm Maya. I am just finishing
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up my PhD at Northwestern. So hopefully
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I can speak to the nature of research uh
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because of that. And I also am the head
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of growth and partnerships with Lumiere,
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which is one option for a research
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organization. um not the only option
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which I'll tell you about but I've been
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with Lumiere for five years. I started
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as a mentor there working with some of
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our amazing high school students on
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research projects. Um it's been a great
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great experience. So I'm really excited
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to talk about how to do research, why to
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do research, and options for high
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schoolers to get involved. Thanks Tony.
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Awesome. So we are going live on a few
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platforms and you may be watching the
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recording of this. So, if you are here
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live or watching the recording down
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below in the chat, go ahead and drop
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your grade. We always love to see kind
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of where everyone's at so we can kind of
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for those who are here live, we can kind
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of cater this presentation a little bit
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more to those. Uh, as well as always, if
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you have any questions, feel free to
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drop it in the Q&A or chat. We'll save
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it to the very end and stick around, do
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a little bit of Q&A if there's any
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questions. Uh, if you're watching this
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live, the replay and the notes that
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we'll have will be available within 48
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hours. Uh, so stick around and you can
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grab that as well, too. Okay, so first
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off, first off, why or should you even
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consider research? This is one of those
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words you hear a lot uh especially in
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the high school realm uh here. And then
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basically this week I I went online,
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right? Google the word research, high
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school research. And you see posts like
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this all the time, right? You see posts
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of parents like, "Hey, I need a research
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program. I need a research program as
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well." And it's one of those buzzwords
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you hear a lot in the high school
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admission space as well, too. Right.
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However, right, even these students
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again, especially if you're watching
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this live, we're recording this live in
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the month of April. By now, a lot of our
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students have gone in. But if you look
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at the public, a lot of these forums, a
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lot of angry people, right? That my kid
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did this. My kid did all did all this
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stuff and still didn't get into these
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schools. So, why is that the case,
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right? Because again, people, I think,
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are thinking, "All right, do research. I
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am good to go." That's not exactly the
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full truth here because it's not what
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you do. It's going to be the why you
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chose to do research itself. Right? this
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not apply not only to research but a lot
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of your other activities today and today
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again you know the kumaya is going to
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help break down this for you guys can
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understand this uh is it a right fit for
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your child if this is something you guys
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are interested in doing right keep in
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mind I don't think every single student
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needs this right so again part of the
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presentation like is you is it right for
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your child as well too and if it is
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right right if it is for some of you
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it's probably one of the best ways to
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explain your passion your interest your
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skills as well too again. So, this is
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not a one-stop shop. Get it and you're
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good. This is, hey, is this going to be
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a good fit for my child? Is this going
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to help showcase who they are and their
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skills and their assets as well too,
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right? So, again, we invited one of the
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best our our partners uh and we're going
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to let her uh let Maya go in and talk
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about uh research as a whole for you
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guys and I'll I'll come at the very end
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and help you guys once you do this. Once
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you get in either again I think click m
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give you options right how to do as well
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too you do it with uh yourself with with
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them with anyone else I'll teach you
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guys how to showcase that on your
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college apps itself too right without
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further ado if you guys are ready go
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ahead and drop a quick yes in the chat
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if you're ready to get started drop a
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quick yes so we know the chat is working
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uh is number one and we we have
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permission to continue on uh for you
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guys all see lots of yeses coming
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through fantastic fantastic without
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further Maya, I think you're up.
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Great. Thank you so much for uh having
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me. So, I'm just going to uh go into my
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first slide. So, thanks everyone. I
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already introduced myself. I'm really
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excited to share about research
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opportunities in high school. Now, just
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to give some information about me, I did
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not know that research was an
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opportunity in high school. Now that
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I've seen so many amazing high schoolers
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go through the process, I wish I had
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known. I remember getting onto my
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college campus. I went to UC Santa Cruz
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and being asked to do research for the
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first time in my life. I totally had to
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start from scratch and figure it all
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out. So, I think that um this is
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something I'm really passionate about
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for that reason. Uh first, I want to
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just share like I said that I'm at
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Northwestern. It has been an amazing six
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years of research as well as working
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with 12 different high schoolers on
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their research projects. Um, and so I
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hope coming from this angle as a
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researcher myself, as someone that's
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worked with high schoolers um, in
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research, I can uh, share from that
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perspective and just shed some light on
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how one can go about accessing this. So,
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I think research can like mean a lot of
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different things and sometimes people
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use that word without clarifying. I like
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to start this type of presentation with
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just explaining like what research is,
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obviously there's so many defi different
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definitions, but when I'm talking about
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high schoolers getting access to
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research opportunities, I mean this this
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is the process that I mean so first is
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just to identify something confusing or
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interesting. Sometimes people get in
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their heads and think it has to be a
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super academic sounding thing, but
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really I encourage everyone to just like
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look around you and think about parts of
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the world that interest you. So, you
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know, when I look around, I have lots of
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different plants around my room. Those
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really interest me. I look around. I
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have two cats. I'm really curious like
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when I introduce them, they fought a
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lot. That's something that really
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interests me. Those are different like
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things that interest me. And when I've
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worked with high school students, I've
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seen the same. So we've seen students do
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incredible research projects on video
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games. Students who are really
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passionate about video games spend a lot
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of time doing that. They've been able to
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turn that into a research project,
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right? That's something that genuinely
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interests or confuses them. So that is
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really the first step. Look around you.
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See what interests you. Next, find out
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what we already know about it. So we
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have been researching for all of human
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history, right? Anyone that has ever
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been on this planet has done their own
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version of research. And now with the
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remarkable strides we've made in
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technology, there is even more research
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out there. And the first step to doing
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your own project is figuring out what we
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already know about it. So that I mean it
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can be useful and valuable to repeat
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things that people have already done and
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see their process, but we want to at
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least know and acknowledge that we know
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that research is already out there. We
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want to build upon research that already
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exists. Um, so this is the next step. If
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I'm really interested in video games and
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I'm really interested in doing a
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research project on uh let's say the
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Sims, right? That's the only video game
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I play. I would find out all that's
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already been written about The Sims and
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I can promise you that there's been a
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lot every single topic already a lot of
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research on there. Um the next step is I
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would do my own analysis to develop my
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argument. So let's say that I've done a
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speed dive through every single piece of
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research that's already out there. I
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would then do my own analysis by trying
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to figure out something new about it.
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Um, I am in the social sciences, so my
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students do a lot of interviews. So, um,
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survey data, case studies. If you're in
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the hard sciences, that's going to look
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very different. Um, but really trying to
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develop my own argument um, based on
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based on the analysis of data at hand.
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And then lastly, right, or kind of what
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we think of as the most important part
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because it involves the most like
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material concrete thing is writing your
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own research paper and getting it out
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into the world. So really writing about
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those three steps that we already
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identified and then putting it out into
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the world. Whether that be through oops,
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whether that be through publication like
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I already talked about or sorry like I'm
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going to talk about or just posting it
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on your blog or getting on a podcast.
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Those are all ways to get out into the
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There are so many different uh fields
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and ways to do research in that field. A
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lot of people think that research
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involves being in a lab every single
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time in a lab coat using really
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expensive fancy tools. That is one
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amazing way to do research, lab- based
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research, but it is by no means the only
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way. So there is also quantitative
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research. This is very popular in my
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field of political science, but also
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economics, business, right? using tools
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to analyze your data, predict trends,
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calculations. Um, I spent a lot of time
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using a statistical program called R
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when I was in graduate school. And so
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those options are available to students
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as well. Qualitative research, right? So
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this is what we might think of as
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interviews, case studies, observational
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data, another amazing, very important
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form of data that students are also able
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to do. And then lastly, we have a
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literature review. So some students
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don't think about this as research, but
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it totally is. It involves looking at
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what other people have written and
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writing up your own meaningful analysis
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of what's already out there. you're
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contributing something new because you
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are taking what's all been written and
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synthesizing it into a new novel
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argument. Um, and that is available in
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fields. Okay. Why should a high schooler
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consider doing research? So, coach Tony
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is going to talk about that a lot, but I
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want to share um some specific um pieces
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of my opinion. So first yes it is uh
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very important for college admissions
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for some students but I also think there
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is so many other amazing aspects to
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research. So demonstrating an interest
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in the world around you helping to make
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the world a better place. I cannot think
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of like anything more meaningful than
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that. So that is one reason right that
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you might want to take on doing research
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really as an intellectual pursuit but
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also as a pursuit of just leaving the
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world a little bit better than you found
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it. We've also found that according to
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the world economic form skills that
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research um develops in students are
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seen as the top 10 skills of 2025.
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Right? So like analytical thinking,
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active learning, creativity, reasoning,
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learning technology, flexibility, those
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are all skills that are developed
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through research. So it really, I think,
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makes you a more well-rounded, developed
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person. And then lastly, of course,
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research helps you build a profile. So
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you show academic excellence in résumés,
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interviews, college applications. Of
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course, um I have personally as a mentor
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written many letters of recommendation
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for students. So that's another option
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if you decide to do research by working
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with a mentor. Um that relationship is
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hopefully like valuable and lifelong to
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you and can also help your college
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applications with the letter of wreck.
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And then you're also just demonstrating
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university readiness. So much of what
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you end up doing in college involves
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research. And so showing that you know
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what that means, what that undertaking
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involves, I think is really
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valuable. This is a lot of text. I won't
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read it all, but basically what it says
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is that the dean of admissions at the
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University of Pennsylvania said that
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nearly one-third of admitted students
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engaged in academic research during high
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school. And then there's some other
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quotes from admissions officers who are
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essentially just saying that when they
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see research on college applications,
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that is valuable to them as admissions
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officers. that is a signal that this
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student um has some level of skills in
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certain areas. So again, it is not
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something every student has to do. We do
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talk with admissions officers over at
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Lumiere though and have found that many
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do find that a valuable indicator of a
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student's skills and that many incoming
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students to elite universities are doing
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research. Okay, how can someone do
[12:59] (779.28s)
research in high school? Right? And I've
[13:00] (780.80s)
talked about its benefits. I've talked
[13:02] (782.08s)
about how cool it is, but how to
[13:03] (783.36s)
actually do it. So, the great news for
[13:05] (785.68s)
everybody listening in is that there's
[13:07] (787.36s)
actually a lot of different ways and
[13:09] (789.68s)
there are a lot of ways that you can do
[13:11] (791.36s)
it that are accessible as well. You
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don't need to live next to a university.
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You don't need to have parents that are
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professors. You don't need to have
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access to a lab. If you have any of
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those things, those are amazing, but you
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don't necessarily need them to do
[13:26] (806.76s)
research. Few different ways you can do
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a structured research program. These are
[13:32] (812.64s)
programs like MIT RSI primes, Lumiere,
[13:37] (817.92s)
lots of programs that offer structure,
[13:40] (820.40s)
connect you to mentors and take you
[13:42] (822.24s)
through the ROS re uh the research
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process. You can do research assistance
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work. This looks like finding the
[13:50] (830.08s)
opportunities on your own. Lots of high
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school students will reach out to
[13:54] (834.32s)
professors to try and get these
[13:56] (836.72s)
opportunities for themselves. We'll talk
[13:58] (838.96s)
a little bit about how to go about doing
[14:00] (840.96s)
that if you're interested in a minute.
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And then lastly, and don't undervalue
[14:05] (845.36s)
this, there is individual independent
[14:07] (847.68s)
research where you actually go about
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doing a research project without a
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mentor on your own, without a structured
[14:14] (854.24s)
program. Now, this can be most difficult
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for some students of the three options
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because it's all self-motivated and
[14:21] (861.32s)
self-timed. But I have seen students do
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this. I have seen students even publish
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with selfwritten research. So that is
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something else to keep in
[14:30] (870.44s)
mind. All right. So like I said, these
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are some examples of structured research
[14:35] (875.84s)
programs. I will talk specifically about
[14:38] (878.08s)
Lumiere in a little bit. Um Vanderbilt
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programs for talented youth is a great
[14:42] (882.64s)
one. If you are interested in doing a
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structured research program, there are
[14:47] (887.20s)
tons of articles online that list all of
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them and the pros and the cons. So do
[14:51] (891.92s)
your own research. Um today I'll tell
[14:54] (894.16s)
you a little bit about Lumiere at the
[14:57] (897.52s)
Okay, research assistant work. So, this
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is often what I get the most questions
[15:02] (902.00s)
about is, hey, I want to reach out to a
[15:06] (906.08s)
professor at my local university and I
[15:09] (909.04s)
want to be a research assistant to them.
[15:11] (911.36s)
Many students have this desire. I have
[15:13] (913.76s)
to say that it's very competitive. I
[15:15] (915.60s)
like to say this at the beginning. Just
[15:17] (917.60s)
so you know, if you've already tried to
[15:19] (919.12s)
do this without that much success, it is
[15:21] (921.28s)
not you. It is a very competitive
[15:23] (923.20s)
industry. If you do want to try doing
[15:25] (925.28s)
this though, I will share how to go
[15:26] (926.64s)
about that. So, one of the main things
[15:28] (928.48s)
you have to do is you have to reach out
[15:30] (930.00s)
to a lot of professors. You have to
[15:32] (932.56s)
reach out to a lot because think about
[15:35] (935.12s)
where a high school student might land
[15:37] (937.56s)
on a professor's list of who they need
[15:40] (940.48s)
to place in their labs. So, the first uh
[15:42] (942.96s)
people that professors need to put in
[15:44] (944.56s)
their labs are graduate students. And
[15:46] (946.40s)
then below that is undergrads. And then
[15:48] (948.16s)
below that, if they have any room for
[15:50] (950.40s)
someone to do their grunt work, right,
[15:52] (952.24s)
it's high schoolers. But it's not to say
[15:54] (954.00s)
that high schoolers don't get placed in
[15:55] (955.36s)
labs. It's just that you have to do a
[15:57] (957.36s)
significant amount of research in order
[15:59] (959.12s)
to make this happen. Usually what I
[16:01] (961.36s)
recommend students do is they get a list
[16:03] (963.68s)
of anywhere from like 50 to 100
[16:07] (967.76s)
professors that they could see
[16:08] (968.88s)
themselves working with and they reach
[16:11] (971.28s)
out to all of them. Um so this uh this
[16:17] (977.12s)
shows just like reaching out, finding
[16:19] (979.12s)
professors. Um, you can Google
[16:22] (982.40s)
professors at the university near you.
[16:24] (984.72s)
If you're surrounded by universities,
[16:26] (986.40s)
maybe this is a little bit easier. Um,
[16:28] (988.80s)
if you are in the hard sciences, most
[16:31] (991.44s)
professors will want you to come into
[16:32] (992.80s)
their lab. If you're in the social
[16:34] (994.16s)
sciences, you can you are more likely to
[16:36] (996.72s)
find virtual opportunities. Um, and then
[16:39] (999.60s)
you reach out to all of them. So, this
[16:43] (1003.12s)
is called cold outreach, right? We do it
[16:45] (1005.36s)
all the time in sales. you've never
[16:47] (1007.64s)
necessarily uh talked to these people,
[16:50] (1010.00s)
but you are making the case that they
[16:52] (1012.56s)
should read your email and get back to
[16:54] (1014.08s)
you. So, this is just an example of an
[16:56] (1016.16s)
email, right? What I like about this
[16:59] (1019.28s)
example of an email is you are spending
[17:01] (1021.60s)
a little bit of time telling the
[17:03] (1023.76s)
professor about yourself and what skills
[17:06] (1026.40s)
you can bring, right? So, you're just
[17:09] (1029.28s)
giving them this pitch of why you want
[17:10] (1030.80s)
to work with them in this email. The
[17:12] (1032.48s)
other really important thing to do is
[17:13] (1033.84s)
follow up. If the likelihood that
[17:16] (1036.88s)
someone responds to your first email is
[17:18] (1038.48s)
probably low, they might see it and
[17:20] (1040.64s)
forget. So, you want to follow up as
[17:22] (1042.56s)
well and bump them. So, this is the way
[17:24] (1044.72s)
that I would recommend reaching out to
[17:27] (1047.44s)
professors at your local universities
[17:29] (1049.20s)
and asking them to do um a research
[17:32] (1052.24s)
assistant job with them. The thing to
[17:34] (1054.80s)
remember um the thing to remember about
[17:36] (1056.88s)
that is that you will be doing whatever
[17:38] (1058.88s)
the professor is working on, right? So,
[17:40] (1060.80s)
if the professor has a lab in biomedical
[17:43] (1063.60s)
science and they're working on a very
[17:45] (1065.28s)
specific project, you will likely be
[17:47] (1067.44s)
doing the grunt work for that project.
[17:50] (1070.40s)
Um, you will likely be doing the things
[17:53] (1073.36s)
that the undergraduates and um, PhD
[17:57] (1077.04s)
candidates don't want to do. The great
[17:59] (1079.04s)
part about these types of programs is if
[18:01] (1081.28s)
you get in, you are now working for an
[18:04] (1084.00s)
established lab and they're usually
[18:06] (1086.40s)
free, sometimes even paid, but that's
[18:08] (1088.48s)
pretty rare. Um but a lot of other
[18:10] (1090.40s)
research opportunities you have to pay
[18:11] (1091.84s)
for. So this type of opportunity um is
[18:14] (1094.32s)
usually free if you're able to get a
[18:16] (1096.08s)
professor to
[18:17] (1097.56s)
respond. Okay. The next type is
[18:20] (1100.56s)
individual independent research. So like
[18:22] (1102.72s)
I said, you should not undervalue this.
[18:25] (1105.36s)
Um but this is when someone actually
[18:27] (1107.04s)
goes ahead and does research on their
[18:29] (1109.12s)
own. Um if you're in an AP seminar um or
[18:32] (1112.96s)
the research uh capstone, you might have
[18:35] (1115.36s)
experience with this. Um, really what it
[18:38] (1118.80s)
takes is that whole process I showed you
[18:41] (1121.68s)
before, finding something you're curious
[18:43] (1123.84s)
about, getting creative, reading
[18:46] (1126.08s)
everything that's out there, doing your
[18:47] (1127.68s)
own analysis, putting it into place. You
[18:50] (1130.40s)
do that on your own. If you have mentors
[18:52] (1132.64s)
in your life that are willing to help
[18:54] (1134.56s)
with you, provide you some structure,
[18:56] (1136.56s)
that's great. Um, otherwise it's really
[18:59] (1139.60s)
important to set a timetable with
[19:01] (1141.76s)
yourself to really figure out what it is
[19:04] (1144.80s)
that you want to do and then give
[19:06] (1146.24s)
yourself actionable goals every single
[19:08] (1148.56s)
week. So at the end of this week, I'll
[19:11] (1151.04s)
have my proposal done. At the end of
[19:13] (1153.60s)
this week, I'll have my literature
[19:14] (1154.96s)
review done. At the end of this week,
[19:16] (1156.64s)
etc., etc.
[19:18] (1158.04s)
Um, so it I would say this is probably
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the most difficult option and that it
[19:24] (1164.88s)
requires a lot of your own structure and
[19:27] (1167.36s)
your own research, but I would also say
[19:29] (1169.60s)
that in our modern world with the tools
[19:32] (1172.64s)
we have available to us, it's gotten
[19:34] (1174.40s)
easier over time, right? So I have toyed
[19:37] (1177.68s)
around with the deep research option on
[19:39] (1179.68s)
chatbt. Um, it's definitely still in
[19:43] (1183.36s)
progress, but I've found that it's
[19:44] (1184.72s)
really great at helping find places for
[19:47] (1187.04s)
me to start looking, like developing a
[19:49] (1189.52s)
list of readings that I can then go into
[19:51] (1191.44s)
and look at myself, showing giving me
[19:53] (1193.84s)
ideas for like pathways to go down. So,
[19:56] (1196.24s)
I think those tools that weren't around
[19:58] (1198.24s)
just a couple of years ago are helpful
[20:01] (1201.12s)
to um sort of allowing more people to
[20:03] (1203.84s)
have access to these opportunities.
[20:05] (1205.52s)
Provides the most flexibility. Of
[20:07] (1207.36s)
course, it's free, right? You're doing
[20:08] (1208.80s)
it on your own. Um, so that's something
[20:11] (1211.04s)
else to think about. Okay. So I want to
[20:14] (1214.32s)
talk now about how students have done
[20:15] (1215.84s)
research with Lumiere, but I also want
[20:18] (1218.40s)
to say that in the rest of this
[20:20] (1220.72s)
presentation, I hope to show you many
[20:23] (1223.36s)
examples of projects that students have
[20:25] (1225.60s)
done to give you ideas about what
[20:28] (1228.56s)
research you might end up doing, right?
[20:31] (1231.28s)
Um I think the more kind of like project
[20:34] (1234.80s)
ideas you look at, the more papers you
[20:37] (1237.92s)
read that other students have done, the
[20:39] (1239.92s)
better. So hopefully um you will see
[20:42] (1242.56s)
some of that in these next
[20:44] (1244.84s)
slides. Okay. So, Lumiere is a
[20:47] (1247.56s)
one-on-one research program where we
[20:50] (1250.24s)
pair high school students and sometimes
[20:53] (1253.04s)
younger, but mostly high school students
[20:54] (1254.96s)
with PhD candidates and they conduct a
[20:58] (1258.64s)
research program together and the
[21:00] (1260.24s)
student writes their own independent
[21:02] (1262.40s)
research project. So, the mentor serves
[21:05] (1265.20s)
as the adviser, right? We've talked
[21:06] (1266.64s)
about mentorship. The mentor will really
[21:08] (1268.96s)
advise you. But unlike a situation where
[21:11] (1271.52s)
you're working in a professor's lab, it
[21:13] (1273.52s)
is focused on the students research
[21:15] (1275.52s)
ideas and interests. So you can come in
[21:18] (1278.24s)
and say, "Hey, I've been playing a lot
[21:21] (1281.52s)
of the Sims, right? I really want to do
[21:23] (1283.68s)
a research project in the Sims." And
[21:25] (1285.68s)
even if the mentor's research project is
[21:27] (1287.84s)
actually in Fortnite, right, or is in
[21:30] (1290.96s)
something different, they will totally
[21:33] (1293.28s)
help you and guide you on your um Sims
[21:36] (1296.08s)
research project because that is their
[21:38] (1298.00s)
job as a mentor with
[21:40] (1300.60s)
Lumiere. These are just some numbers
[21:43] (1303.12s)
from the 2021 2022 school year. So you
[21:46] (1306.00s)
have an idea. So we work with students
[21:48] (1308.72s)
literally all over the world. That's one
[21:51] (1311.12s)
of my favorite parts of um working at
[21:53] (1313.44s)
Lumiere. We are fully virtual like I
[21:56] (1316.08s)
said. So we work by Zoom and by email.
[21:59] (1319.52s)
So students who are in rural places in
[22:02] (1322.56s)
the US and students who are in countries
[22:04] (1324.88s)
where their mentor is not, all of our
[22:06] (1326.40s)
mentors are from the US are absolutely
[22:08] (1328.48s)
able to do this program. We also offer a
[22:11] (1331.04s)
significant amount of financial aid. So
[22:12] (1332.96s)
I've talked about sort of the
[22:14] (1334.56s)
opportunities that are paid and the
[22:16] (1336.08s)
opportunities that are not. Structured
[22:18] (1338.00s)
research programs, like I said, are
[22:19] (1339.36s)
usually paid programs, but we offer a
[22:21] (1341.36s)
lot of financial aid as well to try and
[22:23] (1343.52s)
really provide access to
[22:27] (1347.00s)
everybody. We are
[22:29] (1349.16s)
applicationbased. So, the first step is
[22:31] (1351.28s)
students fill out an application online.
[22:34] (1354.48s)
Um, the next step is they do an
[22:37] (1357.28s)
interview. The next step is we send them
[22:39] (1359.52s)
who we think the best mentor match is.
[22:41] (1361.84s)
And then if you agree on the mentor
[22:43] (1363.36s)
match, you start the program. Just a
[22:45] (1365.44s)
word on this. Um, I actually think this
[22:48] (1368.48s)
process in and of itself is valuable. I
[22:51] (1371.60s)
remember I did very few interviews
[22:55] (1375.04s)
before I finally was out on the job
[22:58] (1378.16s)
market. I took a year off between uh
[23:00] (1380.40s)
college and graduate school and I hadn't
[23:03] (1383.44s)
really done interviews before. So, I
[23:05] (1385.60s)
think even the process of filling out an
[23:07] (1387.44s)
application and doing interviews like
[23:08] (1388.96s)
this that are relatively low stakes um
[23:11] (1391.44s)
is really valuable. Just something to
[23:13] (1393.20s)
think about. And little unsolicited
[23:15] (1395.36s)
advice from me is try to do as many
[23:17] (1397.44s)
interviews as you can um in your time
[23:19] (1399.76s)
before entering entering the job market.
[23:22] (1402.00s)
Um so we do have an application, we do
[23:23] (1403.76s)
have an interview because we want to see
[23:25] (1405.52s)
what your research interests are. We
[23:27] (1407.20s)
want to see who would be the best
[23:28] (1408.32s)
possible mentor for you. But I also
[23:30] (1410.64s)
think it's good
[23:32] (1412.68s)
experience. This is what the program
[23:34] (1414.80s)
actually looks like. And if you are
[23:36] (1416.56s)
interested in doing your own independent
[23:38] (1418.64s)
research project by yourself without
[23:40] (1420.88s)
Lumiere, take note of this as well
[23:43] (1423.04s)
because this might be a way to think
[23:44] (1424.96s)
about how to structure it. So in week
[23:47] (1427.04s)
one, you meet with a mentor in a line on
[23:48] (1428.56s)
a topic for you in an independent
[23:50] (1430.80s)
research program. Maybe you spend some
[23:52] (1432.80s)
time, maybe you give yourself a week to
[23:55] (1435.36s)
really narrow down um what it is that
[23:58] (1438.56s)
you want to do. In weeks two through
[24:00] (1440.72s)
four, you explore the topic and identify
[24:02] (1442.64s)
research question, a research question.
[24:05] (1445.04s)
So, at this point, right, if I'm a
[24:07] (1447.12s)
mentor to a student, I'm giving them
[24:09] (1449.28s)
different readings to do and asking them
[24:11] (1451.36s)
to identify what in the readings is
[24:13] (1453.76s)
interesting to them. Maybe if you're
[24:15] (1455.44s)
doing a program by yourself, you think
[24:17] (1457.04s)
about doing this, too. You give yourself
[24:18] (1458.56s)
two or three weeks to read everything
[24:20] (1460.96s)
out there that you can possibly find and
[24:23] (1463.84s)
manage on your topic. And then use what
[24:26] (1466.40s)
you like to help narrow down a research
[24:28] (1468.32s)
question. Look at what other people's
[24:29] (1469.84s)
research questions are, model it off of
[24:31] (1471.68s)
that. In weeks 5 through nine, that is
[24:35] (1475.12s)
when the writing of the research paper
[24:37] (1477.68s)
and the data analysis happens. So at
[24:40] (1480.00s)
Lumiere, we like to do this
[24:41] (1481.48s)
simultaneously. This is something I kind
[24:43] (1483.52s)
of recommend even if you're doing a
[24:45] (1485.36s)
research project on your uh by yourself,
[24:47] (1487.68s)
is that you shouldn't think about it in
[24:49] (1489.60s)
like I'm going to do all of this
[24:51] (1491.92s)
research, right? I'm going to collect
[24:53] (1493.28s)
all my own data for five weeks and then
[24:55] (1495.44s)
I'm going to write up all the results
[24:56] (1496.64s)
for five weeks. I always recommend
[24:58] (1498.88s)
writing as you're going, right? Right?
[25:02] (1502.08s)
In the beginning when you're reading
[25:03] (1503.60s)
everything there is to read, you should
[25:05] (1505.20s)
be taking notes and that becomes the
[25:07] (1507.28s)
literature review portion of your
[25:08] (1508.72s)
research. Right? As you're doing this
[25:10] (1510.96s)
analysis, let's say you're doing
[25:12] (1512.88s)
interviews, right? As you're doing your
[25:14] (1514.72s)
interviews, you should be taking notes
[25:16] (1516.64s)
and like writing up things that are
[25:18] (1518.32s)
interesting to you and writing up your
[25:19] (1519.60s)
findings. And then ideally, when it
[25:21] (1521.84s)
comes time when you've done all your
[25:23] (1523.04s)
data analysis and it comes time to put
[25:25] (1525.28s)
everything together, you already have
[25:27] (1527.12s)
like significant chunks written. And of
[25:29] (1529.76s)
course you need to edit it and weave it
[25:31] (1531.12s)
all in, but the goal is really that
[25:33] (1533.28s)
you're setting yourself up for success
[25:34] (1534.96s)
at the end. Um, then you make final
[25:37] (1537.28s)
edits and submit paper for final
[25:38] (1538.80s)
evaluation if you're in the Lumiere
[25:40] (1540.64s)
Research Scholar program. After that, we
[25:42] (1542.96s)
have a graduation ceremony and if you
[25:45] (1545.12s)
decide that you want to publish your
[25:46] (1546.48s)
paper, you move on to a publication
[25:48] (1548.80s)
phase. Um, so uh, publication is really
[25:54] (1554.16s)
important. I will talk about that in a
[25:56] (1556.16s)
moment. Um, not everyone has to do it,
[25:57] (1557.92s)
but a lot of our students do want to do
[25:59] (1559.36s)
it. But before I do that, I just want to
[26:02] (1562.56s)
put up some areas of research that are
[26:04] (1564.96s)
very popular. This is by no means the
[26:08] (1568.16s)
only research areas you can do. But if
[26:10] (1570.96s)
you are sitting here thinking like, I
[26:12] (1572.72s)
have no idea what I would do research
[26:14] (1574.40s)
in, take a look at our most popular
[26:16] (1576.56s)
areas in STEM and in the humanities and
[26:18] (1578.64s)
social sciences to get some ideas. So I
[26:21] (1581.12s)
will tell you that in the last year we
[26:23] (1583.04s)
have seen more students than ever before
[26:25] (1585.20s)
who are interested in computer science
[26:26] (1586.80s)
and AI and robotics. And I will also
[26:29] (1589.44s)
tell you that in the 5 years I've been a
[26:30] (1590.96s)
mentor with Lumiere, those have always
[26:32] (1592.64s)
been the most popular programs. So that
[26:35] (1595.28s)
is not changing. But I will say we've
[26:37] (1597.28s)
seen even more of a spike and
[26:38] (1598.80s)
particularly in AI that tends to be
[26:40] (1600.96s)
really popular. PMED though, math,
[26:44] (1604.48s)
architecture, chemistry, those are all
[26:46] (1606.40s)
really popular. STEM topics in
[26:48] (1608.16s)
humanities and social sciences,
[26:50] (1610.08s)
business, econ, psychology, always our
[26:53] (1613.12s)
most popular. Um, but we also have
[26:55] (1615.20s)
students doing things like classics and
[26:56] (1616.96s)
history and environmental studies and
[26:58] (1618.72s)
gender studies. Um, if your interest is
[27:01] (1621.20s)
not in this list, totally fine. But
[27:03] (1623.36s)
again, if you have no idea what you
[27:04] (1624.80s)
would do research on, just pick
[27:06] (1626.56s)
something from this list that interests
[27:10] (1630.24s)
Um, like I said, I'm going to put this
[27:13] (1633.04s)
um, contact info up here, but I just
[27:15] (1635.20s)
before I pass it over want to talk a
[27:16] (1636.88s)
little bit about publishing and what
[27:18] (1638.72s)
that means. So, um, when I say publish
[27:22] (1642.48s)
it, when I say students publish their
[27:24] (1644.88s)
research, I do not mean that our
[27:26] (1646.80s)
students submit their research to like
[27:30] (1650.00s)
the same journals that professors at
[27:33] (1653.36s)
universities submit to. We generally
[27:35] (1655.60s)
don't recommend that. Students are
[27:37] (1657.44s)
welcome to submit there, right? there is
[27:39] (1659.12s)
no like rules against anyone can submit
[27:41] (1661.44s)
their research to any journal but as a
[27:43] (1663.52s)
as a graduate student you know even my
[27:45] (1665.84s)
professors get rejected from those um
[27:48] (1668.24s)
professional journals and so it's just
[27:49] (1669.92s)
usually not worth it we don't recommend
[27:51] (1671.44s)
it what I say when I mean um publication
[27:55] (1675.12s)
is that we want students if they want to
[27:57] (1677.36s)
to submit their work to outlets where it
[28:00] (1680.48s)
can get seen by others so very formal
[28:03] (1683.04s)
versions of that would be journals that
[28:05] (1685.52s)
are set up b for and by students or
[28:08] (1688.96s)
journals that are set up out of
[28:10] (1690.48s)
universities. So Stanford, Colia, um
[28:14] (1694.80s)
Cornell, they all have journals out of
[28:18] (1698.40s)
their universities that high school
[28:20] (1700.32s)
students can submit to. Now, you are
[28:22] (1702.96s)
also competing against college students,
[28:24] (1704.88s)
right? Because it's college journals,
[28:26] (1706.40s)
but we have had students at Lumiere get
[28:28] (1708.00s)
published in those journals. Um, less
[28:30] (1710.88s)
competitive journals that are still
[28:32] (1712.48s)
formal peer-reviewed journals would be
[28:34] (1714.72s)
things like the Journal of Student
[28:36] (1716.80s)
Research, the Journal of Emerging
[28:38] (1718.92s)
Investigators. Um, there's one that has
[28:41] (1721.52s)
a long acronym I never reme remember.
[28:43] (1723.28s)
It's like the National Journal of High
[28:45] (1725.76s)
School Science Research, something like
[28:47] (1727.52s)
that. Just if you're curious, just
[28:49] (1729.68s)
Google like top 10 journals for high
[28:51] (1731.92s)
school students to submit to. Um, but
[28:53] (1733.92s)
those would be ones that are they look
[28:56] (1736.16s)
great, right? you're showcasing your
[28:58] (1738.24s)
work, but they are less competitive than
[29:00] (1740.56s)
say Stanford's Journal of Science and
[29:03] (1743.00s)
Technology. And then an sort of step
[29:06] (1746.32s)
below that informality would be
[29:08] (1748.72s)
submitting to things like blogs run by
[29:11] (1751.84s)
high school students that are interested
[29:13] (1753.36s)
in the same areas of research that you
[29:15] (1755.20s)
are or creating your own blog and
[29:18] (1758.08s)
publishing work on there. or we've had a
[29:20] (1760.80s)
couple students get on podcasts and I
[29:23] (1763.36s)
thought that was such an interesting way
[29:25] (1765.28s)
to showcase your work. So, um that is
[29:28] (1768.96s)
another option and it doesn't matter
[29:30] (1770.80s)
what kind of research program you do. If
[29:32] (1772.80s)
you do the structured research program,
[29:34] (1774.32s)
if you do a program by yourself, if you
[29:36] (1776.24s)
do your own research, I would recommend
[29:38] (1778.56s)
putting it out there
[29:40] (1780.92s)
um first. That gives you a good way to
[29:44] (1784.48s)
sort of summarize it in your
[29:45] (1785.84s)
applications. um even if you do
[29:47] (1787.76s)
something less formal by saying I wrote
[29:50] (1790.00s)
this research paper and I put it on my
[29:51] (1791.84s)
blog and my blog gets 600 views a month
[29:55] (1795.28s)
maybe it won't so don't say that if it
[29:57] (1797.28s)
doesn't but you know some sort of metric
[29:59] (1799.92s)
um that that is easily grabbed onto
[30:03] (1803.04s)
another reason for that is I think there
[30:05] (1805.44s)
is so much value in having people that
[30:09] (1809.28s)
are not your family members that are not
[30:11] (1811.04s)
your teachers read your work and provide
[30:14] (1814.32s)
feedback. So when you submit to any of
[30:16] (1816.56s)
the journals, even if you're not
[30:18] (1818.68s)
accepted, someone out there will have
[30:20] (1820.72s)
read your work and will have given you
[30:22] (1822.24s)
feedback on it. If you are accepted,
[30:25] (1825.28s)
even better, right? But I think that is
[30:27] (1827.28s)
so valuable as well is getting used to
[30:30] (1830.00s)
people giving you feedback, getting used
[30:31] (1831.68s)
to people reading your work. Um even if
[30:34] (1834.80s)
you submit to a blog that's run by other
[30:36] (1836.40s)
high school students, they will read
[30:37] (1837.68s)
your work, right? That's how they decide
[30:39] (1839.12s)
whether or not to accept you. So that's
[30:41] (1841.04s)
the last bit I will say um about
[30:44] (1844.40s)
publication. So here's our contact info
[30:46] (1846.56s)
if you want to learn more about Lumiere.
[30:48] (1848.48s)
If you just have more questions about
[30:50] (1850.00s)
doing high school research more
[30:51] (1851.28s)
generally um you can also email the
[30:53] (1853.76s)
contact at Lumiere and they'll put you
[30:55] (1855.52s)
in touch with the right person. Thank
[30:57] (1857.60s)
you guys so much for listening and I'll
[31:00] (1860.00s)
pass it back to to Coach Tony to talk
[31:05] (1865.36s)
Oh, you're muted. You're muted.
[31:09] (1869.36s)
I always do that. So, apologies as well,
[31:11] (1871.28s)
too. So, yeah, Maya's not going away
[31:12] (1872.80s)
yet. She will stick around for the Q&A
[31:15] (1875.12s)
in a little bit. We had a few questions
[31:16] (1876.40s)
come in, but now that you guys learn how
[31:19] (1879.20s)
to do it, right? And then for those who
[31:21] (1881.12s)
want to pursue, right, we have some of
[31:23] (1883.20s)
our students working with them as well,
[31:25] (1885.28s)
too. So, they're awesome. You'll hear
[31:26] (1886.88s)
nothing but awesome things there. How do
[31:28] (1888.80s)
I showcase this, right? I think and also
[31:30] (1890.48s)
I think M little spoilers uh as well to
[31:33] (1893.52s)
to what we're going to do, right? Here's
[31:35] (1895.76s)
where you showcase this because when you
[31:37] (1897.36s)
can you do it, you did the hard work,
[31:38] (1898.80s)
but there students who don't get in.
[31:40] (1900.40s)
Still, it's not because they didn't do
[31:42] (1902.72s)
it well or didn't do a good one. It's
[31:44] (1904.16s)
because they don't know how to talk
[31:45] (1905.04s)
about what they did in the apps
[31:47] (1907.04s)
themselves. So, here's kind of there's
[31:48] (1908.56s)
kind of two big areas where you can
[31:50] (1910.56s)
showcase this specifically. Number one
[31:52] (1912.56s)
is going to be in your activities list,
[31:54] (1914.16s)
right? So, when it comes to activities,
[31:55] (1915.60s)
it's something that you share that you
[31:57] (1917.12s)
have done as well too. And then a lot of
[31:59] (1919.36s)
students just don't know how to write
[32:00] (1920.48s)
this section. a lot of students that
[32:01] (1921.76s)
we've read that like they didn't get in
[32:03] (1923.60s)
a lot of the public especially this
[32:04] (1924.80s)
month a lot of fans was like they're
[32:06] (1926.08s)
very frustrated I'm like show me your
[32:07] (1927.76s)
app I'm I'm curious to see why because
[32:09] (1929.52s)
statwise you sound great so I was like
[32:11] (1931.20s)
let me see what is I was like oh once
[32:13] (1933.52s)
you open the app you see where it is so
[32:15] (1935.44s)
here right when it comes to the
[32:17] (1937.28s)
activities list how you explain it is
[32:20] (1940.96s)
huge that's the big thing I call the
[32:22] (1942.40s)
blurb the blurb is a thing there too so
[32:24] (1944.88s)
when it comes to here the the structure
[32:27] (1947.04s)
you want to do is verb context with
[32:29] (1949.44s)
metrics that was the big Maya shared as
[32:31] (1951.68s)
well too was the specific metrics that
[32:33] (1953.20s)
you did. So here you want to share what
[32:35] (1955.44s)
you did, not just the topic. People talk
[32:37] (1957.12s)
about I did professor so and so with
[32:39] (1959.12s)
this fancy long title, right? As well
[32:41] (1961.12s)
too, Joe, what you did. Quantify as much
[32:43] (1963.36s)
as you can, right? Numbers always think
[32:45] (1965.52s)
like metrics because if you told me,
[32:47] (1967.44s)
hey, I want like here's example, right?
[32:49] (1969.92s)
Because I think we're on the the video
[32:51] (1971.36s)
games and stuff for that as well too.
[32:52] (1972.80s)
There's there's a game some of you guys
[32:54] (1974.08s)
have played Valerant, right? Valerant as
[32:55] (1975.92s)
well too. And then it's like a it's like
[32:57] (1977.68s)
a anime kind of shooting game. And then
[32:59] (1979.92s)
I was talking to a student. I was like,
[33:01] (1981.20s)
"Oh, so what do you do? Are you good?"
[33:03] (1983.36s)
He's like, "I think so." I was like,
[33:04] (1984.32s)
"Oh, what rank are you?" He's like, "Oh,
[33:06] (1986.08s)
I'm radiant, rank." And if I told you
[33:07] (1987.52s)
guys right now, unless you played valor,
[33:09] (1989.44s)
you have no clue what that means. What?
[33:10] (1990.64s)
I don't know what valant radiant is. And
[33:12] (1992.64s)
you said, "Oh, cool. You write radians."
[33:14] (1994.64s)
And I was like, "Hm, let's put some
[33:16] (1996.64s)
metrics behind it. How many Radiant
[33:18] (1998.88s)
players are there? Oh, there's like a
[33:20] (2000.56s)
thousand." I'm like, "Oh, so you're one
[33:21] (2001.84s)
of a thousand. Okay, that's that's okay,
[33:23] (2003.92s)
right? That's that's not a bad pretty
[33:25] (2005.92s)
good." And I was like, "How many people
[33:27] (2007.20s)
play the whole game total?" you find out
[33:29] (2009.28s)
that radiant is the top 1% of the world
[33:33] (2013.28s)
and now you're like oh big context there
[33:36] (2016.64s)
so metric is huge when it comes to here
[33:38] (2018.88s)
again you want to keep it short as well
[33:40] (2020.32s)
so is it okay if I give you guys some
[33:42] (2022.16s)
examples drop a yes in the chat it's
[33:43] (2023.52s)
okay I give you some examples of what
[33:45] (2025.20s)
these will look like if not we can skip
[33:46] (2026.72s)
it right permission fast if it's okay I
[33:49] (2029.04s)
can show you guys some examples of what
[33:50] (2030.96s)
this blurb should look like go ahead and
[33:53] (2033.36s)
drop a quick yes in the chat we have
[33:57] (2037.12s)
only one yes I'm assuming One person
[33:58] (2038.80s)
wants to see it. Everyone else is. Okay,
[34:00] (2040.64s)
there you go. There you go. People are
[34:02] (2042.16s)
people are excited now. All right, so
[34:03] (2043.84s)
here's a few examples of them, right?
[34:05] (2045.36s)
So, I'm just going to run through them
[34:06] (2046.56s)
really quick. Uh, so, uh, here's our
[34:08] (2048.88s)
some of them. By the way, I I I sneaked
[34:10] (2050.64s)
in some real ones and some some fun ones
[34:12] (2052.64s)
I made up so you see see you guys can
[34:14] (2054.40s)
figure out which one's which. Right.
[34:16] (2056.72s)
This one's about an AI one. Research
[34:18] (2058.40s)
ethical implications of AI bias in
[34:20] (2060.48s)
facial recognition. analyzed 100 plus
[34:23] (2063.52s)
studies ran survey of 250 peers
[34:26] (2066.16s)
published in the Gen Z science journal
[34:28] (2068.80s)
right metrics there next one is a cancer
[34:30] (2070.88s)
immun immunotherapy project assisted PhD
[34:34] (2074.08s)
mentor in cancer imunotherapy lab
[34:36] (2076.56s)
analyze protein markers from 50 patient
[34:38] (2078.64s)
samp patient samples using eisa
[34:42] (2082.60s)
co-authored conference abstract they
[34:45] (2085.12s)
didn't put their professor's name
[34:46] (2086.80s)
because there's no room these things are
[34:49] (2089.20s)
so small that you don't have to you can
[34:50] (2090.80s)
put in in Please show comments if you
[34:52] (2092.24s)
want but again in here it's short little
[34:54] (2094.40s)
blurbs as well right this one's a one
[34:57] (2097.20s)
for economics led independent study on
[34:59] (2099.04s)
economic impact of fast fashion
[35:00] (2100.96s)
collected price labor data from 30
[35:02] (2102.72s)
brands wrote a 20page re research paper
[35:05] (2105.04s)
submitted to conquered review next one
[35:07] (2107.36s)
desire water filter using activated c
[35:09] (2109.52s)
activated charcoal and sand conducted 40
[35:12] (2112.48s)
tests on turbidity and bacteria
[35:15] (2115.28s)
prototype reduce contaminants by 92% and
[35:18] (2118.08s)
again I'm not skim there's a lot there's
[35:20] (2120.08s)
a lot a lot of fancy words as well too,
[35:21] (2121.92s)
right? So, here's one. Here's one in
[35:23] (2123.28s)
memory. If you guys want to screenshot
[35:24] (2124.56s)
that is number one. Here's another one,
[35:26] (2126.16s)
a literature literature review as well
[35:30] (2130.00s)
too. Boom. And you guys seen this trend,
[35:31] (2131.52s)
right? It starts with a verb. There's
[35:32] (2132.88s)
some metrics. You can understand the
[35:34] (2134.32s)
context of this. Here's a sociology one
[35:36] (2136.80s)
uh as well too. They interviewed
[35:38] (2138.24s)
business owners on the effect there.
[35:40] (2140.96s)
This one about environmental case study
[35:44] (2144.00s)
screenshot here as well too. Right? So,
[35:46] (2146.00s)
that's the first part is your activity.
[35:47] (2147.60s)
You're going to showcase what you do.
[35:48] (2148.96s)
Right? It's the part one. The other one
[35:50] (2150.96s)
is if you could share it in your essay.
[35:53] (2153.20s)
Does it mean you have to do it for your
[35:54] (2154.48s)
essays? No. Right. Activities, yes, you
[35:56] (2156.80s)
should put it on your activities list no
[35:58] (2158.16s)
matter what. Uh for the common app, if
[36:00] (2160.32s)
it's if you have 10 things that are more
[36:01] (2161.92s)
cooler than that, then share the other
[36:03] (2163.52s)
10 things. But again, for most students,
[36:05] (2165.04s)
this is probably the cool things you
[36:06] (2166.16s)
want you want to share on your activity
[36:07] (2167.44s)
list for the common app. But when it
[36:09] (2169.04s)
comes to essays, it may be your topic
[36:11] (2171.36s)
because keep in mind for the if you're
[36:13] (2173.20s)
applying to a private school, they use
[36:14] (2174.48s)
the common app. One big personal
[36:16] (2176.32s)
statement. Is there something else
[36:17] (2177.92s)
that's bigger for you? uh or not, right?
[36:20] (2180.56s)
If it is, if it's not, then feel free to
[36:22] (2182.88s)
use the structure there. So, the
[36:24] (2184.40s)
structure we usually tell our students
[36:25] (2185.84s)
to keep in mind is the 37y old rule,
[36:28] (2188.24s)
right? So, what people tend to do, so
[36:30] (2190.16s)
the mistake I see a lot is it tell a big
[36:33] (2193.76s)
story about their lab, their professor,
[36:36] (2196.80s)
how awesome the professor is, uh what
[36:39] (2199.36s)
they did, what each of the the the
[36:43] (2203.00s)
the chemicals do and everything that
[36:46] (2206.32s)
happened, what they plugged in at the
[36:48] (2208.32s)
end. I love science, right? So too. So
[36:50] (2210.96s)
at the end that's a big story, right?
[36:52] (2212.96s)
And then so I always think how many
[36:55] (2215.44s)
other people could do the same thing.
[36:58] (2218.00s)
Spoilers a lot. A lot of people do.
[37:00] (2220.40s)
That's why again going back to what
[37:01] (2221.92s)
Maya, right? What are you interested in?
[37:04] (2224.56s)
She didn't say what should we do? That's
[37:06] (2226.80s)
like hey what's the what's the hot
[37:08] (2228.32s)
topic? What do you want? She keeps
[37:10] (2230.40s)
referring to what are your interests?
[37:12] (2232.08s)
And that's the big key here is you aka
[37:14] (2234.48s)
the student not the parent by the way.
[37:16] (2236.00s)
Right? Parents you can like one thing
[37:17] (2237.20s)
but your kid like something else. Focus
[37:18] (2238.80s)
on the student's interest because the
[37:21] (2241.84s)
reason why we say that is there's the
[37:23] (2243.92s)
why. There is a reason why the student
[37:26] (2246.40s)
likes that thing and that why reason is
[37:28] (2248.96s)
unique only to them. Right? So the what
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could be the same. Again you're doing
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research but in theory someone else
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could do the same research but the
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impact of doing that research for you is
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unique only to you. Right? And then I
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mentioned here there's three words there
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three kind of questions you want to ask
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yourself for each one. Number one is
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why. Why did you do what you did? Right?
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Spoilers, right? A lot of students,
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right, didn't go through this little
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presentation and they didn't do it
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correctly. They're doing because it
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looks good for college. That that is
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their reason why they're doing that.
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Right? When it comes to that reason, you
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don't really have a why or your why is
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there is I look good for college, right?
[38:03] (2283.04s)
But again, keep in mind what Maya kept
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saying, right? What does the student
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want? What keeps you up at night, right?
[38:08] (2288.72s)
What what bugs you there? Boom. There's
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your why. That's unique only to you.
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Number part two is how how has this made
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you who you are today? the process of
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the research. Again, some students
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again, you don't have to get published,
[38:20] (2300.96s)
right? She mentioned that was actually
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one of the questions, but hey, you don't
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have to get published. It's the journey
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of doing this, the journey of discovery.
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That's the how. How made you who you
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are. Number three is who have you become
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as a result of all this. These three
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questions tell me only about the
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student, not about the thing. So, the
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structure here is going to be the 30 and
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70, right? 30% is the what, 70% is the
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why uh as well. And if you're like, I'm
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stuck. I don't know how to explain this
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or talk about it. Here's some guiding
[38:49] (2329.68s)
question. Here's a good like screenshot
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kind of slide as well too. I'd ask the
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student, hey, why did this topic matter
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to you currently? Because again, a lot
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of students do a lot of random things.
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I'm like, oh, why'd you do that?
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Uh, science, right? And I was like, no,
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no, no, no. There's that that that's
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tell me about you, right? The focus
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should be on you. Number two, when did
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you notice this issue, right? This
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problem, this idea. Again, going back to
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what everything Maya said earlier for
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us, right? Exactly. What what do you
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want? What keeps you up? What do you
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look around? What do you see as personal
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to you? Right. Number three, what are
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the challenges? What the breakthroughs
[39:23] (2363.28s)
you had, right? Number four, what what
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did how did your thinking change as a
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result of that project? Number five, how
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did experience teach you about yourself?
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When did we ever ask you what project
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did you do? Right? No. Right. At the end
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of the day, it's all about the student.
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And that's the big key when it comes to
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writing this on your essays is your
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focus on you. Again, your project should
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be like a reflection, right? A natural
[39:45] (2385.60s)
reflection of what you're doing, your
[39:47] (2387.12s)
interest. But this is all about the
[39:48] (2388.64s)
student. And that's the big key over
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here. Keep in mind, and one other thing,
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one little tip, especially those who are
[39:53] (2393.60s)
doing like sciency kind of research,
[39:55] (2395.20s)
right? You use too many fancy words,
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right? The people who are reading your
[39:58] (2398.48s)
fancy words is people like me who cannot
[40:00] (2400.56s)
pronounce fancy words, right? So if we
[40:02] (2402.48s)
can't pronounce it, again, scientists
[40:04] (2404.24s)
not reading your prompts, right? You're
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not grad students like Maya, right? We
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affect us, we're normal people. We want
[40:09] (2409.68s)
to know, we don't understand enough. If
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you make me sound silly, that doesn't
[40:13] (2413.28s)
usually end well for the student as
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well, too. So, keep in mind, do not talk
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about the sciency words, the jargon,
[40:19] (2419.76s)
right? You want to focus on you, the
[40:21] (2421.84s)
student, your growth, your motivation,
[40:24] (2424.40s)
and your self-awareness. Okay, with that
[40:28] (2428.00s)
being said, we're going to open up to
[40:29] (2429.52s)
some Q&A. We have a few minutes in case
[40:31] (2431.20s)
you guys have questions. But before we
[40:32] (2432.88s)
do, we have two special things for you
[40:34] (2434.96s)
guys. Number one, for those who are new
[40:37] (2437.36s)
uh for the to the on the coaching side,
[40:39] (2439.20s)
if you guys are interested, we give all
[40:40] (2440.72s)
new members a free 15-minute coaching
[40:42] (2442.40s)
call just to kind of point you guys in
[40:43] (2443.84s)
the right direction. Uh is all of you
[40:45] (2445.44s)
guys are interested in that, go ahead,
[40:46] (2446.80s)
text us at 7
[40:50] (2450.36s)
949-7750865. And then uh uh I know Lamir
[40:53] (2453.52s)
has a few free gifts for you guys as
[40:55] (2455.12s)
well, too. If you guys want to text us
[40:56] (2456.48s)
research, uh we'll send you guys some
[40:58] (2458.32s)
free gifts from them um as well. Okay,
[41:02] (2462.24s)
so as you guys are doing that, we have a
[41:03] (2463.84s)
few questions. I think uh Maya they're
[41:06] (2466.56s)
probably better for you than for me as
[41:08] (2468.80s)
well too. Can someone uh someone asked
[41:11] (2471.36s)
uh about uh the email structure? Is
[41:14] (2474.32s)
there a fast way to to send a lot of
[41:16] (2476.16s)
emails? So can you comment on that like
[41:18] (2478.56s)
email? I absolutely can. There's so many
[41:21] (2481.12s)
different tools to use. A tool that I
[41:22] (2482.88s)
use a lot is called
[41:25] (2485.08s)
Mixmax. So if you uh just Google Mixmax,
[41:30] (2490.88s)
it will come up. And what it allows you
[41:32] (2492.40s)
to do is send out a lot of emails at
[41:34] (2494.56s)
once, personalized um and then allows
[41:36] (2496.72s)
you to send follow-ups um when someone
[41:40] (2500.48s)
doesn't respond. All I'll say about that
[41:42] (2502.80s)
is just make sure your email is really
[41:44] (2504.72s)
good quality. Be really careful with
[41:47] (2507.36s)
those tools because kind of the worst
[41:49] (2509.52s)
thing you could do in this situation is
[41:51] (2511.76s)
annoy someone or bother someone. But if
[41:53] (2513.68s)
you send just like a heartfelt email um
[41:56] (2516.40s)
talking about yourself, you absolutely
[41:57] (2517.76s)
won't. So that's the tool I use.
[42:00] (2520.00s)
Awesome. Fantastic. Um, and I I think
[42:02] (2522.48s)
you kind of answered this earlier as
[42:03] (2523.76s)
well too, like but the question is do
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you have to get published if you if you
[42:08] (2528.64s)
No, not at all. I think um hopefully
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there isn't a a misconception that you
[42:14] (2534.44s)
do. What I've seen is that really it's
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like the students passion and ability to
[42:21] (2541.52s)
translate that passion for the research
[42:23] (2543.20s)
into their applications that is useful.
[42:25] (2545.84s)
Publication is cool. It gives you a
[42:27] (2547.76s)
succinct way to talk about it. Um but I
[42:30] (2550.64s)
have had you know my own students who
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didn't publish but were really
[42:34] (2554.64s)
passionate about what they did were able
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to translate that into their um
[42:38] (2558.48s)
applications and are now at like some
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amazing schools. So I really think it's
[42:42] (2562.56s)
the research that is important um and
[42:45] (2565.60s)
the publishing I think is one way to
[42:48] (2568.16s)
talk about the research or um is great
[42:51] (2571.44s)
for you to go through that process and
[42:53] (2573.28s)
learn how to how to publish get feedback
[42:55] (2575.52s)
on your work but I don't think it's
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necessary.
[42:58] (2578.88s)
Love it. Awesome. And also try from a
[43:00] (2580.88s)
college admissions point of view,
[43:01] (2581.92s)
there's no checklist, right? So it's not
[43:03] (2583.28s)
like a checklist item of like, oh look,
[43:05] (2585.20s)
research, you're in. That's not how
[43:07] (2587.04s)
admission works. Uh as well, it's just
[43:08] (2588.80s)
another piece of the puzzle, right?
[43:09] (2589.76s)
Another piece of the puzzle. If you have
[43:10] (2590.88s)
it, that's awesome. If you don't have
[43:12] (2592.08s)
it, we're not looking for it per se
[43:14] (2594.00s)
also, right? So I think it's one of
[43:15] (2595.44s)
those again, just like Maya mentioned,
[43:16] (2596.96s)
it's the research itself and kind of
[43:18] (2598.56s)
showcasing who you are. That's the big
[43:20] (2600.56s)
thing there. Yeah.
[43:23] (2603.20s)
Well, I think that's pretty much it. So
[43:25] (2605.44s)
ma, do you have any closing words for us
[43:27] (2607.12s)
before we wrap up this session here? Um,
[43:29] (2609.92s)
I just want to say that the fact that
[43:31] (2611.84s)
you are on this call, whoever you are,
[43:33] (2613.76s)
is like evidence that you are doing the
[43:36] (2616.32s)
work to learn everything there is to
[43:38] (2618.72s)
learn and put yourself in a great
[43:40] (2620.00s)
position and that already puts you
[43:42] (2622.00s)
leagues ahead. So my hope is that nobody
[43:44] (2624.96s)
feels more stressed. people feel more,
[43:48] (2628.08s)
you know, armed with information. Um,
[43:50] (2630.64s)
and then make the choices that you think
[43:52] (2632.32s)
are best and research will will be here
[43:54] (2634.24s)
for you at Lumiere if that's the pathway
[43:56] (2636.08s)
you decide to go down. Awesome. Thank
[43:58] (2638.56s)
you everyone for joining and I'll see
[43:59] (2639.68s)
you guys on the next training. Bye.