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The Need for Citizen Science | Sukant Khurana | TEDxDTU


hi I brought with me something and I’ve

hi I brought with me something and I’ve got a news for you well the news is this

got a news for you well the news is this

got a news for you well the news is this is not a solution to everything it

is not a solution to everything it

is not a solution to everything it wasn’t really a news write all of you

wasn’t really a news write all of you

wasn’t really a news write all of you knew it

knew it

knew it despite that various innovators in

despite that various innovators in

despite that various innovators in different fields fail to make a dent in

different fields fail to make a dent in

different fields fail to make a dent in their enterprise because they stay

their enterprise because they stay

their enterprise because they stay confined in their field boundaries they

confined in their field boundaries they

confined in their field boundaries they keep applying one tool only to their

keep applying one tool only to their

keep applying one tool only to their efforts what is needed for complex

efforts what is needed for complex

efforts what is needed for complex problems of today is multifaceted attack

problems of today is multifaceted attack

problems of today is multifaceted attack what is needed is nuanced thinking

what is needed is nuanced thinking

what is needed is nuanced thinking appreciation of grace today I’ll be

appreciation of grace today I’ll be

appreciation of grace today I’ll be talking to you about that kind of

talking to you about that kind of

talking to you about that kind of synthesis where all your efforts

synthesis where all your efforts

synthesis where all your efforts synergize and synthesize towards the

synergize and synthesize towards the

synergize and synthesize towards the same goal there is also a flipside if

same goal there is also a flipside if

same goal there is also a flipside if you do too many things and the efforts

you do too many things and the efforts

you do too many things and the efforts don’t add up you might be spreading

don’t add up you might be spreading

don’t add up you might be spreading yourself too thin so it’s about the

yourself too thin so it’s about the

yourself too thin so it’s about the right balance and this right balance can

right balance and this right balance can

right balance and this right balance can take a bit of work it’s like – so this

take a bit of work it’s like – so this

take a bit of work it’s like – so this journey need not be very easy what is

journey need not be very easy what is

journey need not be very easy what is the case that it took me several years

the case that it took me several years

the case that it took me several years to reach that balance when I first moved

to reach that balance when I first moved

to reach that balance when I first moved to us in 2003 I was doing various things

to us in 2003 I was doing various things

to us in 2003 I was doing various things I was passionate about my science over a

I was passionate about my science over a

I was passionate about my science over a period of years I have developed an

period of years I have developed an

period of years I have developed an interest in brain sciences which I

interest in brain sciences which I

interest in brain sciences which I continued to do I have developed

continued to do I have developed

continued to do I have developed interest in developing new medicines and

interest in developing new medicines and

interest in developing new medicines and also artificial intelligence but what I

also artificial intelligence but what I

also artificial intelligence but what I did in parallel I was an artist and I

did in parallel I was an artist and I

did in parallel I was an artist and I also realized that after moving to us

also realized that after moving to us

also realized that after moving to us the society is very different and

the society is very different and

the society is very different and wondered if developing countries could

wondered if developing countries could

wondered if developing countries could be transformed in some of the same

be transformed in some of the same

be transformed in some of the same positive manner that activism costed me

positive manner that activism costed me

positive manner that activism costed me dearly it didn’t make a lot of

dearly it didn’t make a lot of

dearly it didn’t make a lot of difference it made me feel happy that

difference it made me feel happy that

difference it made me feel happy that I’m doing something but it didn’t make

I’m doing something but it didn’t make

I’m doing something but it didn’t make much of a difference in fact I ended up

much of a difference in fact I ended up

much of a difference in fact I ended up running the rubbing people’s shoulder

running the rubbing people’s shoulder

running the rubbing people’s shoulder the wrong way in 2014 there was attack

the wrong way in 2014 there was attack

the wrong way in 2014 there was attack on my social media accounts were hacked

on my social media accounts were hacked

on my social media accounts were hacked one year down the lane the culprits were

one year down the lane the culprits were

one year down the lane the culprits were I didn’t find but that was too late

I didn’t find but that was too late

I didn’t find but that was too late damage was done I still wake up with

damage was done I still wake up with

damage was done I still wake up with nightmares that what damage it did to

nightmares that what damage it did to

nightmares that what damage it did to people around me not just me later when

people around me not just me later when

people around me not just me later when I returned to India I say several stacks

I returned to India I say several stacks

I returned to India I say several stacks but I’m not here to tell you about the

but I’m not here to tell you about the

but I’m not here to tell you about the sad story I’m here to tell you about how

sad story I’m here to tell you about how

sad story I’m here to tell you about how to emerge

to emerge

to emerge as successful how to emerge as winner

as successful how to emerge as winner

as successful how to emerge as winner from those experiences but what that

from those experiences but what that

from those experiences but what that activism what that desire to change the

activism what that desire to change the

activism what that desire to change the world in gave me was that an experience

world in gave me was that an experience

world in gave me was that an experience to use various people to be able to

to use various people to be able to

to use various people to be able to organize a large number of people

organize a large number of people

organize a large number of people towards a good cause and that has led me

towards a good cause and that has led me

towards a good cause and that has led me into citizen science where I’m able to

into citizen science where I’m able to

into citizen science where I’m able to utilize large number of undergraduate

utilize large number of undergraduate

utilize large number of undergraduate students large number of masters

students large number of masters

students large number of masters students towards doing proud science

students towards doing proud science

students towards doing proud science towards doing citizen science so now the

towards doing citizen science so now the

towards doing citizen science so now the model is not science art in technology

model is not science art in technology

model is not science art in technology separately and some kind of activism

separately and some kind of activism

separately and some kind of activism that activism has transformed into data

that activism has transformed into data

that activism has transformed into data science now I just believe that if you

science now I just believe that if you

science now I just believe that if you can bring truth forward if you can bring

can bring truth forward if you can bring

can bring truth forward if you can bring facts forward people would make best

facts forward people would make best

facts forward people would make best decisions possible for themselves so now

decisions possible for themselves so now

decisions possible for themselves so now the model is science technology and art

the model is science technology and art

the model is science technology and art being a bit creatively inclined what I

being a bit creatively inclined what I

being a bit creatively inclined what I did was that I expressed this theme also

did was that I expressed this theme also

did was that I expressed this theme also through art so I use my paintings to

through art so I use my paintings to

through art so I use my paintings to tell this autobiographical story of

tell this autobiographical story of

tell this autobiographical story of transformation and I also put it out in

transformation and I also put it out in

transformation and I also put it out in form of poetry in form of appreciation

form of poetry in form of appreciation

form of poetry in form of appreciation where I said let’s celebrate a new world

where I said let’s celebrate a new world

where I said let’s celebrate a new world a new world which just explores

a new world which just explores

a new world which just explores innovation I try to also work on

innovation I try to also work on

innovation I try to also work on juxtaposition juxtaposition of poetry

juxtaposition juxtaposition of poetry

juxtaposition juxtaposition of poetry and painting where it was my paintings

and painting where it was my paintings

and painting where it was my paintings with a friend’s poetry or my own where

with a friend’s poetry or my own where

with a friend’s poetry or my own where poetry with my own paintings so the

poetry with my own paintings so the

poetry with my own paintings so the theme of paintings I’ll tell you which

theme of paintings I’ll tell you which

theme of paintings I’ll tell you which might seem very unconventional but it is

might seem very unconventional but it is

might seem very unconventional but it is in the same team and it was talked about

in the same team and it was talked about

in the same team and it was talked about by critics again as a new synthesis the

by critics again as a new synthesis the

by critics again as a new synthesis the same talk as of my topic the idea was

same talk as of my topic the idea was

same talk as of my topic the idea was creative destruction I painted one there

creative destruction I painted one there

creative destruction I painted one there I threw it out in snow rain ice Sun I

I threw it out in snow rain ice Sun I

I threw it out in snow rain ice Sun I brought it back and painted another

brought it back and painted another

brought it back and painted another layer on it that layer would destroy the

layer on it that layer would destroy the

layer on it that layer would destroy the previous layer then I would do the same

previous layer then I would do the same

previous layer then I would do the same process over and over again sometimes

process over and over again sometimes

process over and over again sometimes this process would be repeated 70 80 or

this process would be repeated 70 80 or

this process would be repeated 70 80 or 100 times so each layer is destroying

100 times so each layer is destroying

100 times so each layer is destroying the previous layer it was metaphorical

the previous layer it was metaphorical

the previous layer it was metaphorical for the idea that efforts of your each

for the idea that efforts of your each

for the idea that efforts of your each day do not add up and in the end you

day do not add up and in the end you

day do not add up and in the end you just end up painting a fake smile over

just end up painting a fake smile over

just end up painting a fake smile over it then I moved on to the second series

it then I moved on to the second series

it then I moved on to the second series which was the reverse of that process

which was the reverse of that process

which was the reverse of that process which I call destructive creation I’ll

which I call destructive creation I’ll

which I call destructive creation I’ll paint but I’ll wash off that painting

paint but I’ll wash off that painting

paint but I’ll wash off that painting immediately that painting left

immediately that painting left

immediately that painting left mark so it wasn’t as bad as sort of the

mark so it wasn’t as bad as sort of the

mark so it wasn’t as bad as sort of the first approach so each layer would add

first approach so each layer would add

first approach so each layer would add up giving rise to your final painting

up giving rise to your final painting

up giving rise to your final painting but the final thing which was which I

but the final thing which was which I

but the final thing which was which I call breaking free so I painted all the

call breaking free so I painted all the

call breaking free so I painted all the things which synergize together it was

things which synergize together it was

things which synergize together it was breaking free from any art form it was

breaking free from any art form it was

breaking free from any art form it was breaking free from abstractionism it was

breaking free from abstractionism it was

breaking free from abstractionism it was breaking free from realism it was

breaking free from realism it was

breaking free from realism it was breaking free from Expressionism it was

breaking free from Expressionism it was

breaking free from Expressionism it was like what you want to finally express

like what you want to finally express

like what you want to finally express all of it should come together so let’s

all of it should come together so let’s

all of it should come together so let’s not think of art forms let’s just think

not think of art forms let’s just think

not think of art forms let’s just think of the message so in that instead of

of the message so in that instead of

of the message so in that instead of painting one experiment or one scientist

painting one experiment or one scientist

painting one experiment or one scientist the final thing that I pointed to was

the final thing that I pointed to was

the final thing that I pointed to was complex patterns and that’s what unites

complex patterns and that’s what unites

complex patterns and that’s what unites all the efforts I do is understanding

all the efforts I do is understanding

all the efforts I do is understanding patterns the same data science in

patterns the same data science in

patterns the same data science in neuroscience in drug discovery in fine

neuroscience in drug discovery in fine

neuroscience in drug discovery in fine arts everything is about finding

arts everything is about finding

arts everything is about finding patterns finding meaning if you can find

patterns finding meaning if you can find

patterns finding meaning if you can find patterns in things around you you can

patterns in things around you you can

patterns in things around you you can succeed so that was the journey and how

succeed so that was the journey and how

succeed so that was the journey and how do we go about it I’ll talk to you about

do we go about it I’ll talk to you about

do we go about it I’ll talk to you about it so one of the first things we do we

it so one of the first things we do we

it so one of the first things we do we try to learn from local knowledge and

try to learn from local knowledge and

try to learn from local knowledge and the way we go about it is we work

the way we go about it is we work

the way we go about it is we work amongst different types and what you can

amongst different types and what you can

amongst different types and what you can do if you think you’re a biomedical

do if you think you’re a biomedical

do if you think you’re a biomedical professional you’re a researcher why

professional you’re a researcher why

professional you’re a researcher why would you go around looking for

would you go around looking for

would you go around looking for knowledge of different abortional the

knowledge of different abortional the

knowledge of different abortional the interesting thing is we’ve been able to

interesting thing is we’ve been able to

interesting thing is we’ve been able to find different plant sources which can

find different plant sources which can

find different plant sources which can cure several complex disorders not every

cure several complex disorders not every

cure several complex disorders not every local knowledge not every bit is going

local knowledge not every bit is going

local knowledge not every bit is going to be validated in lab but a good

to be validated in lab but a good

to be validated in lab but a good fraction of it would be validated and

fraction of it would be validated and

fraction of it would be validated and you can come up with drugs you can come

you can come up with drugs you can come

you can come up with drugs you can come up with solutions to complex world

up with solutions to complex world

up with solutions to complex world problems so that is one thing learn from

problems so that is one thing learn from

problems so that is one thing learn from people I would actually encourage a lot

people I would actually encourage a lot

people I would actually encourage a lot of my fellow researchers to go out in

of my fellow researchers to go out in

of my fellow researchers to go out in field and not just take in lab the other

field and not just take in lab the other

field and not just take in lab the other thing that we do is citizen science and

thing that we do is citizen science and

thing that we do is citizen science and data science can you utilize power of

data science can you utilize power of

data science can you utilize power of undergraduate students across the globe

undergraduate students across the globe

undergraduate students across the globe there’s so many people who are looking

there’s so many people who are looking

there’s so many people who are looking for research opportunities can you do

for research opportunities can you do

for research opportunities can you do something with that

something with that

something with that the answer is yes the answer is a

the answer is yes the answer is a

the answer is yes the answer is a resounding yes for example in a country

resounding yes for example in a country

resounding yes for example in a country like say India you don’t have a lot of

like say India you don’t have a lot of

like say India you don’t have a lot of data available you want to find out

data available you want to find out

data available you want to find out what is happening with alcoholism and

what is happening with alcoholism and

what is happening with alcoholism and say some part of northeast and you look

say some part of northeast and you look

say some part of northeast and you look through government records and you have

through government records and you have

through government records and you have very little information

very little information

very little information can you send boots on the ground there

can you send boots on the ground there

can you send boots on the ground there are people who want to do have this

are people who want to do have this

are people who want to do have this research experience you can send boots

research experience you can send boots

research experience you can send boots on ground and find out about statistics

on ground and find out about statistics

on ground and find out about statistics of all these things if you want to

of all these things if you want to

of all these things if you want to utilize a plant and say can that plant

utilize a plant and say can that plant

utilize a plant and say can that plant be used in a sustainable manner to make

be used in a sustainable manner to make

be used in a sustainable manner to make drugs to make ground extract without

drugs to make ground extract without

drugs to make ground extract without basically removing it from circulation

basically removing it from circulation

basically removing it from circulation entirely you can send boots on ground

entirely you can send boots on ground

entirely you can send boots on ground and have that research experience we

and have that research experience we

and have that research experience we have gained tremendously from citizen

have gained tremendously from citizen

have gained tremendously from citizen science but what we have gained more

science but what we have gained more

science but what we have gained more from interestingly is data science

from interestingly is data science

from interestingly is data science programming is becoming a noose

programming is becoming a noose

programming is becoming a noose neccessity it’s not an optional scale

neccessity it’s not an optional scale

neccessity it’s not an optional scale anymore for the current generation most

anymore for the current generation most

anymore for the current generation most of us know how to speak at least one or

of us know how to speak at least one or

of us know how to speak at least one or two languages just like speaking two

two languages just like speaking two

two languages just like speaking two languages is becoming a norm programming

languages is becoming a norm programming

languages is becoming a norm programming is becoming a norm if you can code and

is becoming a norm if you can code and

is becoming a norm if you can code and you know statistics you can be a data

you know statistics you can be a data

you know statistics you can be a data scientist what we have been able to do

scientist what we have been able to do

scientist what we have been able to do is to straight through information in

is to straight through information in

is to straight through information in newspapers look through social media

newspapers look through social media

newspapers look through social media find out information from government in

find out information from government in

find out information from government in international agency data sources and

international agency data sources and

international agency data sources and make sense of it let us say you want to

make sense of it let us say you want to

make sense of it let us say you want to fight alcoholism you want to also not

fight alcoholism you want to also not

fight alcoholism you want to also not fight it in a simple black-and-white

fight it in a simple black-and-white

fight it in a simple black-and-white manner you want to say there is a

manner you want to say there is a

manner you want to say there is a positive to alcohol there is a negative

positive to alcohol there is a negative

positive to alcohol there is a negative to alcohol and you want to fight it in

to alcohol and you want to fight it in

to alcohol and you want to fight it in all its nuances chronic alcoholism is a

all its nuances chronic alcoholism is a

all its nuances chronic alcoholism is a problem occasional alcohol drinking may

problem occasional alcohol drinking may

problem occasional alcohol drinking may not be you want to get data about it

not be you want to get data about it

not be you want to get data about it how do you go about it get bunch of

how do you go about it get bunch of

how do you go about it get bunch of programmers they need not be sitting in

programmers they need not be sitting in

programmers they need not be sitting in your office they need not be in your lab

your office they need not be in your lab

your office they need not be in your lab they could be in some engineering

they could be in some engineering

they could be in some engineering College across the globe so we have been

College across the globe so we have been

College across the globe so we have been able to utilize the power of citizen

able to utilize the power of citizen

able to utilize the power of citizen science by doing data science for

science by doing data science for

science by doing data science for example it will just take you a day to

example it will just take you a day to

example it will just take you a day to find out something shocking like we

find out something shocking like we

find out something shocking like we found out about HIV in India that from

found out about HIV in India that from

found out about HIV in India that from 2008 onwards most of the news coverage

2008 onwards most of the news coverage

2008 onwards most of the news coverage is entirely about taboo there is hardly

is entirely about taboo there is hardly

is entirely about taboo there is hardly any news coverage about number of

any news coverage about number of

any news coverage about number of patients suffering there’s hardly any

patients suffering there’s hardly any

patients suffering there’s hardly any coverage about lack of medicine

coverage about lack of medicine

coverage about lack of medicine availability any information specific

availability any information specific

availability any information specific about the places they can go to you can

about the places they can go to you can

about the places they can go to you can find out things which can result in

find out things which can result in

find out things which can result in actionable intelligence

actionable intelligence

actionable intelligence which can make any society whether it’s

which can make any society whether it’s

which can make any society whether it’s in Western Hemisphere whether this

in Western Hemisphere whether this

in Western Hemisphere whether this eastern hemisphere a better society by

eastern hemisphere a better society by

eastern hemisphere a better society by just finding out that data and this is

just finding out that data and this is

just finding out that data and this is an example of one day versus you can put

an example of one day versus you can put

an example of one day versus you can put in a 1 year of activism on ground we are

in a 1 year of activism on ground we are

in a 1 year of activism on ground we are one day of your effort can give more

one day of your effort can give more

one day of your effort can give more results for society so this is the way

results for society so this is the way

results for society so this is the way it’s not that my passions have changed

it’s not that my passions have changed

it’s not that my passions have changed the passion to change society has

the passion to change society has

the passion to change society has remained the same just the means have

remained the same just the means have

remained the same just the means have become digital so data science is

become digital so data science is

become digital so data science is extremely interesting citizen science is

extremely interesting citizen science is

extremely interesting citizen science is extremely interesting but you need to

extremely interesting but you need to

extremely interesting but you need to work in lab to produce cutting-edge

work in lab to produce cutting-edge

work in lab to produce cutting-edge biomedical research and there two three

biomedical research and there two three

biomedical research and there two three things that keep me up at night one

things that keep me up at night one

things that keep me up at night one thing that really troubles me is the

thing that really troubles me is the

thing that really troubles me is the cost of drugs the cost of medicines an

cost of drugs the cost of medicines an

cost of drugs the cost of medicines an average medicine that comes out in

average medicine that comes out in

average medicine that comes out in market for let’s say a complex

market for let’s say a complex

market for let’s say a complex neurological disorder is costing you

neurological disorder is costing you

neurological disorder is costing you above of ten billion dollars in research

above of ten billion dollars in research

above of ten billion dollars in research before it gets to market that

before it gets to market that

before it gets to market that prohibitive cost prevents a lot of

prohibitive cost prevents a lot of

prohibitive cost prevents a lot of medicines to be around right for example

medicines to be around right for example

medicines to be around right for example there are diseases there there are so

there are diseases there there are so

there are diseases there there are so many people suffering from diabetes you

many people suffering from diabetes you

many people suffering from diabetes you need more medicines but why are they not

need more medicines but why are they not

need more medicines but why are they not coming out the cost is very prohibitive

coming out the cost is very prohibitive

coming out the cost is very prohibitive there are so many people suffering from

there are so many people suffering from

there are so many people suffering from depression why is it not coming out the

depression why is it not coming out the

depression why is it not coming out the cost is very prohibitive can you again

cost is very prohibitive can you again

cost is very prohibitive can you again use the logic of grace appreciation of

use the logic of grace appreciation of

use the logic of grace appreciation of neurons is to make this drug discovery

neurons is to make this drug discovery

neurons is to make this drug discovery better and faster what we are doing in

better and faster what we are doing in

better and faster what we are doing in our lab is instead of working with one

our lab is instead of working with one

our lab is instead of working with one model system we are working with several

model system we are working with several

model system we are working with several model systems and the logic is what

model systems and the logic is what

model systems and the logic is what works in several model systems is more

works in several model systems is more

works in several model systems is more likely to work in humans because of the

likely to work in humans because of the

likely to work in humans because of the logic of evolutionary conservation now

logic of evolutionary conservation now

logic of evolutionary conservation now using that logic we are also employing

using that logic we are also employing

using that logic we are also employing other things of Technology what we are

other things of Technology what we are

other things of Technology what we are doing is we measure multiple parameters

doing is we measure multiple parameters

doing is we measure multiple parameters and not just one parameter at a time

and not just one parameter at a time

and not just one parameter at a time because if you measure one parameter it

because if you measure one parameter it

because if you measure one parameter it will go to the clinical stage and then

will go to the clinical stage and then

will go to the clinical stage and then you’ll realize it’s not really working

you’ll realize it’s not really working

you’ll realize it’s not really working so there you use artificial intelligence

so there you use artificial intelligence

so there you use artificial intelligence to make sense of lot of data so

to make sense of lot of data so

to make sense of lot of data so artificial intelligence can help a

artificial intelligence can help a

artificial intelligence can help a biomedical research a lot but it’s not

biomedical research a lot but it’s not

biomedical research a lot but it’s not just one way it’s a two-way street so

artificial intelligence can also learn a

artificial intelligence can also learn a lot from biology

so artificial intelligence can learn a

so artificial intelligence can learn a lot from biology wait to change back

what it can learn is that brain works in

what it can learn is that brain works in very complicated manners and it has

very complicated manners and it has

very complicated manners and it has evolved to be intelligent but the

evolved to be intelligent but the

evolved to be intelligent but the systems have really artificial

systems have really artificial

systems have really artificial intelligent systems are working where we

intelligent systems are working where we

intelligent systems are working where we had the information or brain sciences 20

had the information or brain sciences 20

had the information or brain sciences 20 or 30 years ago it’s working with the

or 30 years ago it’s working with the

or 30 years ago it’s working with the logic of synaptic plasticity it’s really

logic of synaptic plasticity it’s really

logic of synaptic plasticity it’s really not gone ahead what we are trying to do

not gone ahead what we are trying to do

not gone ahead what we are trying to do is to transform artificial intelligence

is to transform artificial intelligence

is to transform artificial intelligence radically by bringing in themes of

radically by bringing in themes of

radically by bringing in themes of inhibition by bringing in themes of

inhibition by bringing in themes of

inhibition by bringing in themes of neurogenesis by bringing in architecture

neurogenesis by bringing in architecture

neurogenesis by bringing in architecture which is previously defined by bringing

which is previously defined by bringing

which is previously defined by bringing in conduction delays by changing how a

in conduction delays by changing how a

in conduction delays by changing how a node computes these are concept which

node computes these are concept which

node computes these are concept which artificial intelligence has not and the

artificial intelligence has not and the

artificial intelligence has not and the idea of working in different fields

idea of working in different fields

idea of working in different fields enables you to synthesize from one field

enables you to synthesize from one field

enables you to synthesize from one field take it to another work in another field

take it to another work in another field

take it to another work in another field bring it to another so my biology is

bring it to another so my biology is

bring it to another so my biology is helping make AI better and my knowledge

helping make AI better and my knowledge

helping make AI better and my knowledge of AI is helping make my biomedical

of AI is helping make my biomedical

of AI is helping make my biomedical research better so you need to cross two

research better so you need to cross two

research better so you need to cross two fields and it would not have been

fields and it would not have been

fields and it would not have been possible if I had just stuck to one

possible if I had just stuck to one

possible if I had just stuck to one field that is why it’s very important to

field that is why it’s very important to

field that is why it’s very important to move across different fields what is

move across different fields what is

move across different fields what is also important is not just keep doing

also important is not just keep doing

also important is not just keep doing research in lab reach out write in

research in lab reach out write in

research in lab reach out write in newspapers write books and what I have

newspapers write books and what I have

newspapers write books and what I have realised by doing that you don’t have to

realised by doing that you don’t have to

realised by doing that you don’t have to dumb it down when people say simplify

dumb it down when people say simplify

dumb it down when people say simplify simplify but do not over simplify people

simplify but do not over simplify people

simplify but do not over simplify people are capable of understanding one says

are capable of understanding one says

are capable of understanding one says people have capable of understanding

people have capable of understanding

people have capable of understanding raised is they are interested a lot of

raised is they are interested a lot of

raised is they are interested a lot of my friends complain about the fact that

my friends complain about the fact that

my friends complain about the fact that people don’t care about their science if

people don’t care about their science if

people don’t care about their science if you’re not talking about your science

you’re not talking about your science

you’re not talking about your science who else would people complain about

who else would people complain about

who else would people complain about politicians are not funding science

politicians are not funding science

politicians are not funding science enough if your message is not going

enough if your message is not going

enough if your message is not going across there would not be a reason to

across there would not be a reason to

across there would not be a reason to think that science should be funded one

think that science should be funded one

think that science should be funded one is one thing is very important that it’s

is one thing is very important that it’s

is one thing is very important that it’s not a one-way dialogue it’s a two-way

not a one-way dialogue it’s a two-way

not a one-way dialogue it’s a two-way dialogue you also learn from people and

dialogue you also learn from people and

dialogue you also learn from people and you correct yourself you might have some

you correct yourself you might have some

you correct yourself you might have some beliefs from your knowledge and what you

beliefs from your knowledge and what you

beliefs from your knowledge and what you realize that not every solution is

realize that not every solution is

realize that not every solution is applicable in every local context so you

applicable in every local context so you

applicable in every local context so you learn from people and then you apply

learn from people and then you apply

learn from people and then you apply that what is also a very interesting

that what is also a very interesting

that what is also a very interesting thing in reaching out is do not restrict

thing in reaching out is do not restrict

thing in reaching out is do not restrict yourself to writing newspaper articles

yourself to writing newspaper articles

yourself to writing newspaper articles or books I have done that a lot and I

or books I have done that a lot and I

or books I have done that a lot and I learn

learn

learn that they are somewhat elitist

that they are somewhat elitist

that they are somewhat elitist unfortunately because not everyone is

unfortunately because not everyone is

unfortunately because not everyone is spending a lot of time reading that’s

spending a lot of time reading that’s

spending a lot of time reading that’s the sorry state of things but that is

the sorry state of things but that is

the sorry state of things but that is how it is so can you reach out

how it is so can you reach out

how it is so can you reach out throughout so right now I’m trying to

throughout so right now I’m trying to

throughout so right now I’m trying to make paintings which approach the theme

make paintings which approach the theme

make paintings which approach the theme of alcoholism various neurological

of alcoholism various neurological

of alcoholism various neurological disorders but that again might have a

disorders but that again might have a

disorders but that again might have a limited audience can you sing about it

limited audience can you sing about it

limited audience can you sing about it so I am collaborating with a friend who

so I am collaborating with a friend who

so I am collaborating with a friend who sings really well and writing lyrics on

sings really well and writing lyrics on

sings really well and writing lyrics on the theme of Violetta hardly any for

the theme of Violetta hardly any for

the theme of Violetta hardly any for common people if they are suffering from

common people if they are suffering from

common people if they are suffering from some disorder where do they get help

some disorder where do they get help

some disorder where do they get help what kind of help do they need we’re

what kind of help do they need we’re

what kind of help do they need we’re also making a IOT podcast IOT and data

also making a IOT podcast IOT and data

also making a IOT podcast IOT and data science podcast to reach out so the idea

science podcast to reach out so the idea

science podcast to reach out so the idea is reach out and reach out by all means

is reach out and reach out by all means

is reach out and reach out by all means necessary all means possible do not

necessary all means possible do not

necessary all means possible do not restrict yourself to one means so one

restrict yourself to one means so one

restrict yourself to one means so one conclusion I would say from my talk is

conclusion I would say from my talk is

conclusion I would say from my talk is cross discipline boundaries it’s a lot

cross discipline boundaries it’s a lot

cross discipline boundaries it’s a lot of fun when you don’t restrict

of fun when you don’t restrict

of fun when you don’t restrict yourselves to be branded as any kind of

yourselves to be branded as any kind of

yourselves to be branded as any kind of a scientist just be an innovator the

a scientist just be an innovator the

a scientist just be an innovator the other thing I would like to talk to you

other thing I would like to talk to you

other thing I would like to talk to you about is my are my dreams in my plans so

about is my are my dreams in my plans so

about is my are my dreams in my plans so I have vivid imagination and I’m pretty

I have vivid imagination and I’m pretty

I have vivid imagination and I’m pretty sure all my dreams would not be

sure all my dreams would not be

sure all my dreams would not be fulfilled and that’s alright I’ll be

fulfilled and that’s alright I’ll be

fulfilled and that’s alright I’ll be very happy if I can achieve half of them

very happy if I can achieve half of them

very happy if I can achieve half of them but I’ll tell you what I’m thinking of

but I’ll tell you what I’m thinking of

but I’ll tell you what I’m thinking of so I’ll the biggest thing that I have is

so I’ll the biggest thing that I have is

so I’ll the biggest thing that I have is I want to reduce this multi-billion

I want to reduce this multi-billion

I want to reduce this multi-billion dollar cost of drug discovery down to

dollar cost of drug discovery down to

dollar cost of drug discovery down to maybe a billion maybe one day to few

maybe a billion maybe one day to few

maybe a billion maybe one day to few Millions so more and more medicines for

Millions so more and more medicines for

Millions so more and more medicines for various disorders can come out so we can

various disorders can come out so we can

various disorders can come out so we can have a healthier and a happier life

have a healthier and a happier life

have a healthier and a happier life that’s one of the biggest streams

that’s one of the biggest streams

that’s one of the biggest streams there’s another dream so I’ve been

there’s another dream so I’ve been

there’s another dream so I’ve been working on design or something called

working on design or something called

working on design or something called transcranial magnetic stimulator machine

transcranial magnetic stimulator machine

transcranial magnetic stimulator machine already exists but right now you can

already exists but right now you can

already exists but right now you can activate or inactivate only large parts

activate or inactivate only large parts

activate or inactivate only large parts of brain what I want to do is make it

of brain what I want to do is make it

of brain what I want to do is make it very focal very small you can stimulate

very focal very small you can stimulate

very focal very small you can stimulate different parts of region change

different parts of region change

different parts of region change connectivity in brain right maybe upload

connectivity in brain right maybe upload

connectivity in brain right maybe upload new memories like matrix upload

new memories like matrix upload

new memories like matrix upload different things well I’m joking about

different things well I’m joking about

different things well I’m joking about the matrix part but what you can do is

the matrix part but what you can do is

the matrix part but what you can do is cure people who have let’s say

cure people who have let’s say

cure people who have let’s say schizophrenia people who have depression

schizophrenia people who have depression

schizophrenia people who have depression where medication is not working can you

where medication is not working can you

where medication is not working can you do that that’s one of the things I’m

do that that’s one of the things I’m

do that that’s one of the things I’m hoping that I’ll be able to do in the

hoping that I’ll be able to do in the

hoping that I’ll be able to do in the next few years then there is another

next few years then there is another

next few years then there is another dream so we have been

dream so we have been

dream so we have been working through data science on epilepsy

working through data science on epilepsy

working through data science on epilepsy prediction can the same prediction

prediction can the same prediction

prediction can the same prediction approaches which are working in nuances

approaches which are working in nuances

approaches which are working in nuances what we are doing is we are taking

what we are doing is we are taking

what we are doing is we are taking subtle approaches of simply putting

subtle approaches of simply putting

subtle approaches of simply putting logic gates we are not getting married

logic gates we are not getting married

logic gates we are not getting married to one algorithm or another we are not

to one algorithm or another we are not

to one algorithm or another we are not getting married too hard computing of

getting married too hard computing of

getting married too hard computing of Auto regression based tools we’re not

Auto regression based tools we’re not

Auto regression based tools we’re not getting married to artificial neural

getting married to artificial neural

getting married to artificial neural networks

networks

networks we’re simply putting logic gates of our

we’re simply putting logic gates of our

we’re simply putting logic gates of our and and putting in weighted average can

and and putting in weighted average can

and and putting in weighted average can I use those prediction approaches where

I use those prediction approaches where

I use those prediction approaches where we being very successful in predicting

we being very successful in predicting

we being very successful in predicting epilepsy to being able to one day

epilepsy to being able to one day

epilepsy to being able to one day predict earthquakes can we do something

predict earthquakes can we do something

predict earthquakes can we do something where stock market and maybe come up

where stock market and maybe come up

where stock market and maybe come up with the next big company so I have

with the next big company so I have

with the next big company so I have various streams in science and

various streams in science and

various streams in science and technology I have some crazy dreams in

technology I have some crazy dreams in

technology I have some crazy dreams in art also so in addition to trying to

art also so in addition to trying to

art also so in addition to trying to make paintings on different neurological

make paintings on different neurological

make paintings on different neurological disorders

disorders

disorders I have something has been vexing me for

I have something has been vexing me for

I have something has been vexing me for a long time our people when they buy art

a long time our people when they buy art

a long time our people when they buy art do they buy it because they care about

do they buy it because they care about

do they buy it because they care about the signature of the artist or do they

the signature of the artist or do they

the signature of the artist or do they care about the painting itself so what I

care about the painting itself so what I

care about the painting itself so what I want to paint is paint something but

want to paint is paint something but

want to paint is paint something but cover it entirely with red pigment they

cover it entirely with red pigment they

cover it entirely with red pigment they don’t know what the painting is when

don’t know what the painting is when

don’t know what the painting is when they go back home they can wash away the

they go back home they can wash away the

they go back home they can wash away the pigment and that’s when they know what

pigment and that’s when they know what

pigment and that’s when they know what they bought that will be an interesting

they bought that will be an interesting

they bought that will be an interesting experiment that’ll be an interesting

experiment that’ll be an interesting

experiment that’ll be an interesting social experiment and I want to find out

social experiment and I want to find out

social experiment and I want to find out what the results of that are I also want

what the results of that are I also want

what the results of that are I also want to make paintings which age as you age

to make paintings which age as you age

to make paintings which age as you age so make different layers which come off

so make different layers which come off

so make different layers which come off so paint with different chemicals which

so paint with different chemicals which

so paint with different chemicals which come off with age one year later you see

come off with age one year later you see

come off with age one year later you see a different painting than what you

a different painting than what you

a different painting than what you bought and then I’m working on a theme

bought and then I’m working on a theme

bought and then I’m working on a theme where I’m trying to use the ideas of how

where I’m trying to use the ideas of how

where I’m trying to use the ideas of how technology has transformed art so there

technology has transformed art so there

technology has transformed art so there are a lot of dreams and as I said my

are a lot of dreams and as I said my

are a lot of dreams and as I said my strengths are finite my resources are

strengths are finite my resources are

strengths are finite my resources are finite I might fail in several

finite I might fail in several

finite I might fail in several enterprises but we as a group of people

enterprises but we as a group of people

enterprises but we as a group of people if all of us become citizen scientists

if all of us become citizen scientists

if all of us become citizen scientists our strength would be the largest

our strength would be the largest

our strength would be the largest strength that the world has ever seen we

strength that the world has ever seen we

strength that the world has ever seen we can transform the world if all of us are

can transform the world if all of us are

can transform the world if all of us are aware of all of us are contributing to

aware of all of us are contributing to

aware of all of us are contributing to innovation in some way or another

innovation in some way or another

innovation in some way or another imagine a world where facts dominate

imagine a world where facts dominate

imagine a world where facts dominate petty politics imagine a world where

petty politics imagine a world where

petty politics imagine a world where everyone can innovate crossing

everyone can innovate crossing

everyone can innovate crossing discipline boundaries that is what I

discipline boundaries that is what I

discipline boundaries that is what I want to do imagine a world where we have

want to do imagine a world where we have

want to do imagine a world where we have a new donessa because a new renessa is

a new donessa because a new renessa is

a new donessa because a new renessa is needed to solve complex problems that

needed to solve complex problems that

needed to solve complex problems that vex the world thank you

vex the world thank you

vex the world thank you you

”

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