You dont have to be an expert to solve big problems Tapiwa Chiwewe

One winter morning, a couple of years ago,

I was driving to work
in Johannesburg, South Africa,

and noticed a haze hanging over the city.

I make that drive on most days,

so it was unusual
that I hadn’t noticed this before.

Johannesburg is known
for its distinctive skyline,

which I could barely see that morning.

It didn’t take long for me to realize
that I was looking at an enormous cloud

of air pollution.

The contrast between
the scenic environment I knew

and this smog-covered skyline

stirred up something within me.

I was appalled by the possibility
of this city of bright and vivid sunsets

being overrun by a dull haze.

At that moment, I felt an urge
to do something about it,

but I didn’t know what.

All I knew was
I couldn’t just stand idly by.

The main challenge was,

I didn’t know much
about environmental science

air-quality management

or atmospheric chemistry.

I am a computer engineer,

and I was pretty sure I couldn’t code
my way out of this air pollution problem.

(Laughter)

Who was I to do anything about this issue?

I was but a citizen.

In the following years,
I learned a very important lesson,

a lesson we all need to take to heart
if we are to work towards a better future.

Even if you’re not an expert
in a particular domain,

your outside expertise may hold the key

to solving big problems
within that domain.

Sometimes the unique perspective you have

can result in unconventional thinking
that can move the needle,

but you need to be bold enough to try.

That’s the only way you’ll ever know.

What I knew back then

was that if I was even going
to try to make a difference,

I had to get smart
about air pollution first,

and so I became a student again.

I did a bit of basic research

and soon learned that air pollution

is the world’s biggest
environmental health risk.

Data from the World Health Organization

shows that almost 14 percent
of all deaths worldwide in 2012

were attributable to household
and ambient air pollution,

with most occurring
in low- and middle-income countries.

Ambient air pollution alone
causes more deaths each year

than malaria and HIV/AIDS.

In Africa, premature deaths
from unsafe sanitation

or childhood malnutrition

pale in comparison
to deaths due to air pollution,

and it comes at a huge economic cost:

over 400 billion US dollars as of 2013,

according to a study by the Organisation
for Economic Cooperation and Development.

Now, in my work,

I explore new frontiers
for artificial intelligence,

where the symbiotic relationship
between man and machine

can find a beneficial footing
and help us to make better decisions.

As I thought about
the air pollution problem,

it became clear that we needed
to find a way to make better decisions

about how we manage air pollution,

and given the scale of the problem,

it was necessary to do it
in a collaborative way.

So I decided I’d better get to know
some people working within the field.

I started to speak to officials
from the City of Johannesburg

and other surrounding cities,

and I engaged the local
scientific community,

and I also made a few cold calls.

The process of engagement I embarked upon

helped me to develop
a deeper understanding of the problem.

It also helped me to avoid the trap

people in my profession sometimes
fall into when trying to innovate,

where we are quick to apply a technology

before we’ve firmly grasped
the problem at hand.

I began to develop an idea

about what I could do
to improve the situation.

I started by simply asking myself

how I could bring together
in some meaningful way

my skills in software engineering
and artificial intelligence

and the expertise of the people
I’d reached out to.

I wanted to create an online
air-quality management platform

that would uncover trends in pollution

and project into the future

to determine what outcomes
can be expected.

I was determined to see my idea
translate into a practical solution,

but I faced uncertainty

and had no guarantee of success.

What I had was a very particular set
of engineering skills,

skills I’d acquired over my career

(Laughter)

that were new to people who had
been working on the air pollution problem

for so many years.

What I have come to realize is that
sometimes just one fresh perspective,

one new skill set,

can make the conditions right
for something remarkable to happen.

Our willpower and imagination
are a guiding light,

enabling us to chart new paths
and navigate through obstacles.

Armed with a firmer understanding
of the air pollution problem,

and having managed to source
over a decade’s worth of data

on air pollutant levels

and the meteorological conditions
for in and around Johannesburg,

my colleagues from South Africa
and China and myself

created an air-quality
decision support system

that lives in the cloud.

This software system
analyzes historical and real-time data

to uncover the spatial-temporal
trends in pollution.

We then used new
machine learning technology

to predict future levels of pollution

for several different pollutants
days in advance.

This means that citizens
can make better decisions

about their daily movements

and about where to settle their families.

We can predict adverse
pollution events ahead of time,

identify heavy polluters,

and they can be ordered
by the relevant authorities

to scale back their operations.

Through assisted scenario planning,

city planners can also make
better decisions

about how to extend infrastructure,

such as human settlements
or industrial zones.

We completed a pilot of our technology

that was run over a period of 120 days,

covering all of South Africa.

Our results were confirmed

when we demonstrated a tight correlation

between the forecasting data

and the data we were getting
on the ground.

Through our leadership,

we have brought cutting-edge,
world-leading assets

that can perform air-quality forecasting

at an unprecedented
resolution and accuracy,

benefiting the city that I drove into
one winter morning not very long ago,

and thought to myself,

“Something is wrong here.
I wonder what can be done?”

So here is the point:

What if I’d not investigated
the problem of air pollution further?

What if I’d not shown some concern
for the state of the environment

and just hoped that someone,
somewhere, was taking care of the matter?

What I have learned is that,

when embarking on a challenging endeavor

that advances a cause
that we firmly believe in,

it is important to focus
on the possibility of success

and consider the consequence
of not acting.

We should not get distracted
by resistance and opposition,

but this should motivate us further.

So wherever you are in the world,

the next time you find

that there’s some
natural curiosity you have

that is being piqued,

and it’s about something you care about,

and you have some crazy or bold ideas,

and perhaps it’s outside
the realm of your expertise,

ask yourself this:

Why not?

Why not just go ahead
and tackle the problem

as best as you can, in your own way?

You may be pleasantly surprised.

Thank you.

(Applause)

几年前的一个冬天的早晨,

我开车去
南非约翰内斯堡上班

,发现城市上空笼罩着一层阴霾。

大多数时候我都会开车,

所以
我以前没有注意到这一点很不寻常。

约翰内斯堡
以其独特的天际线

而闻名,那天早上我几乎看不到。

没过多久我就
意识到我看到的是一片巨大

的空气污染云。

我所知道的风景优美的环境

和这个被烟雾笼罩的天际线之间的对比

在我心中激起了一些东西。

这座拥有明亮而生动的日落的城市可能

被沉闷的阴霾笼罩,这让我感到震惊。

那一刻,我有一种想要做点什么的冲动

但我不知道是什么。

我只知道
我不能袖手旁观。

主要的挑战是,


对环境科学

空气质量管理

或大气化学知之甚少。

我是一名计算机工程师

,我很确定我无法编写代码
来解决这个空气污染问题。

(笑声)

我是谁来处理这个问题?

我只是一个公民。

在接下来的几年里,
我学到了非常重要的一课,

如果我们要朝着更美好的未来努力,我们都需要牢记这一课。

即使您不是
某个特定领域的专家,

您的外部专业知识也可能

是解决
该领域内重大问题的关键。

有时,您拥有的独特视角可能

会产生非常规的思维
,可以推动针头,

但您需要足够大胆地尝试。

这是你永远知道的唯一方法。

那时我所知道的

是,如果我
想要有所作为,

我必须
首先对空气污染有所了解

,所以我再次成为一名学生。

我做了一些基础研究

,很快了解到空气污染

是世界上最大的
环境健康风险。

世界卫生组织的数据

显示,
2012 年全球近 14% 的

死亡可归因于家庭
和环境空气污染,

其中大部分发生
在低收入和中等收入国家。

仅环境空气污染
每年就

比疟疾和艾滋病毒/艾滋病造成更多的死亡。

在非洲,与空气污染导致的死亡相比,
不安全的卫生条件

或儿童

营养不良导致的过早死亡相形见绌

而且付出了巨大的经济代价:根据经济合作组织的一项研究,

截至 2013 年已超过 4000 亿美元。

发展。

现在,在我的工作中,

我探索
了人工智能的新领域,人与机器

之间的共生关系

可以找到有益的立足点
,帮助我们做出更好的决策。

当我
想到空气污染问题时,

很明显我们
需要找到一种方法来

就如何管理空气污染做出更好的决策

,鉴于问题的规模,

有必要
以协作的方式来做。

所以我决定我最好去认识
一些在这个领域工作的人。

我开始与
约翰内斯堡市

和其他周边城市的官员交谈,

并与当地
科学界接触

,还打了几个冷电话。

我开始的参与过程

帮助我
对这个问题有了更深入的理解。

它还帮助我避免了

我所在行业的人们在
尝试创新时有时会陷入的陷阱,

在我们牢牢抓住
手头的问题之前,我们会迅速应用一项技术。

我开始

思考我可以做些什么
来改善这种情况。

我首先简单地问自己

如何
以某种有意义的方式将

我在软件工程
和人工智能

方面的技能与我接触过的人的专业知识结合
起来。

我想创建一个在线
空气质量管理平台

,该平台将揭示污染趋势

并预测未来

以确定
可以预期的结果。

我决心将我的想法
转化为切实可行的解决方案,

但我面临不确定性

,无法保证成功。

我所拥有的是一套非常特殊
的工程技能,

我在职业生涯中获得的技能

(笑声)

对于多年来
一直致力于解决空气污染问题的人来说是新的

我开始意识到,
有时只需一种全新的视角,

一种新的技能组合,

就能
为非凡的事情的发生创造条件。

我们的意志力和想象力
是一盏指路明灯,

使我们能够开辟新的道路
并穿越障碍。

凭借
对空气污染问题的更深入了解,

并设法获取
了十多年来

有关约翰内斯堡及其周边地区空气污染物水平

和气象
条件的数据,

我和我来自南非
和中国的同事和我自己

创造了空气质量

存在于云端的决策支持系统。

该软件
系统分析历史和实时数据,

以揭示污染的时空
趋势。

然后,我们使用新的
机器学习技术

提前几天预测未来几种不同污染物的污染水平

这意味着公民
可以更好地

决定他们的日常活动

以及在哪里安置他们的家人。

我们可以提前预测不良
污染事件,

识别重污染者,

并可以
由有关部门

命令他们缩减经营规模。

通过辅助情景规划,

城市规划者还可以

就如何扩展基础设施(

例如人类住区
或工业区)做出更好的决策。

我们

完成了一项为期 120 天的技术试点,

覆盖整个南非。

当我们证明预测数据与我们在实地获得的数据之间存在紧密相关性时,我们的结果得到了证实

通过我们的领导,

我们带来了
世界领先的尖端资产

,这些资产能够

以前所未有的
分辨率和准确性进行空气质量预测,

使不久前我开车进入
一个冬天的早晨的城市受益

,我心想,

“ 有点不对劲,
不知道怎么办?”

所以重点是:

如果我不
进一步调查空气污染问题怎么办?

如果我没有表现出
对环境状况的关注

,只是希望
某个地方的某个人正在处理这件事怎么办?

我学到的是,

在开展一项具有挑战性的工作

以推进
我们坚信的事业时

,重要的是要
关注成功的可能性

并考虑
不采取行动的后果。

我们不应该
因抵抗和反对

而分心,但这应该会进一步激励我们。

因此,无论您身在何处

,下一次当您

发现有一些
天生的好奇心

被激起时

,它是关于您关心的事情

,您有一些疯狂或大胆的想法

,也许它
超出了您的范围 专业知识,

问问自己这个:

为什么不呢?

为什么不继续

以自己的方式尽可能地解决问题呢?

你可能会感到惊喜。

谢谢你。

(掌声)