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THE WORLD’S LEADING AI “SUPER SUMMIT”!


THE EXCLUSIVE RETURN OF WORLD SUMMIT AI TO AMSTERDAM

13TH – 14TH OCTOBER 2021

BEURS VAN BERLAGE, AMSTERDAM & ONLINE



Book your ticket

Get involved

 

THE 5TH ANNIVERSARY WILL BE A VERY SPECIAL, EXCLUSIVE IN-PERSON SUMMIT AND
ONLINE BROADCAST!

Celebrating 5 years of WSAI we will be creating a ‘super summit’ by combining
three of our world-leading brands together; World Summit AI, Intelligent
Health (on the 12th October only), and the launch of TMinus30 – our new
InspiredMinds summit on climate and the future of food and agriculture. This
exclusive summit will take place at the historic Beurs van Berlage in central
Amsterdam, will be limited to 1000 people, and will present a mind-blowing
lineup of the very best of the last 5 years world-class speakers in one amazing
show-stopping plenary stage! (to say we are excited doesn’t do it justice!!)

 




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WE ARE COMING BACK TO AMSTERDAM!

We have tossed away the rule book and decided to create the best possible event
for everyone.

After such a long time of social distancing and staying at home, we are looking
forward to welcoming the biggest AI community in person in Amsterdam. You can
read more about what the Dutch government said about lifting the restrictions
here. 

Read what the Dutch Government announced

If you are concerned about the recent developments of Covid-19, we want to focus
on your safety. To book your ticket with more confidence, we have put together
all the important information here.

This is how we handle Covid-19

Everyone can join us this year, whether you want to meet people again and enjoy
Amsterdam, or if traveling is not an option for you, you can join us online.

For more information about this year’s event subscribe to our newsletter to get
the latest ticket deals and news.

Subscribe to Newsletter

WHAT’S WSAI AND WHY IS THIS YEAR DIFFERENT?

“Imitation is the highest form of flattery….but there is only one World Summit
AI!” Fortune magazine

WSAI is the world’s leading and internationally renowned AI summit gathering the
global AI ecosystem of Enterprise, BigTech, Startups, Investors and Science, the
brightest brains in AI as speakers every year in Amsterdam to tackle head-on the
most burning AI issues and set the global AI agenda. We are a community of
200,000 InspiredMinds from 167 countries world-wide, we have missed you….

COVID 19 might have stopped us from meeting in person last year but we have
redesigned this years summit into a show-stopping, breath-taking, pulse racing
global meeting of InspiredMinds both in person at the beautiful Beurs van
Berlage in the heart of Amsterdam, and online!

It would be very easy for us to sell 4000+ tickets to a physical event, but we
have world leading clinicians expertise at our finger tips due to our
Intelligent Health community and they have advised us –  it would simply not be
the right thing to do.

We have your safety at the heart of our decision and are therefore limiting
attendance to a physical summit in the heart of Amsterdam to 1000 attendees
initially and we are redesigning the summit in line with clinical advice (our
advisors are world leaders check out www.intelligenthealth.ai)…

More tickets may be released at a later date if safe to do so. The summit will
be simultaneously streamed to our global community on our online platform.

 

WHAT CAN YOU EXPECT?

 * Plenary sessions: live and streamed to the platform with mind-blowing
   speakers and world leaders
 * Table-talks: curated, board room style meetings to find peer-to-peer
   solutions to your current challenges
 * Masterclass sessions: workshops with a difference, world-leading speakers
   giving private masterclasses to small groups at the physical summit and
   online
 * Workshops: nobody likes wasting time. Learn from experts in a structured,
   hands-on session that will keep you engaged and make the learning stick
 * Curated 121 meetings: using our AI-powered matchmaking tool – physically,
   there will be managed meeting points and, online, there will be camera-on
   meetings
 * Access the all-new ‘super summit’ streams at Intelligent Health and Tminus30
   co-located InspiredMinds summits now taking place in Amsterdam for the first
   time!

View Programme

WHO’S COMING? 

CEOs, CTOs, heads of AI, scientists, technologists, academics, startups, and
investors from every corner of the globe will join at the exclusive physical
summit and online via our global platform.

See who else is coming

MEET OUR PREVIOUS AI BRAINS

YANN LECUN

DIRECTOR AI RESEARCH AND SILVER PROFESSOR

FACEBOOK & NEW YORK UNIVERSITY



YOSHUA BENGIO

PROFESSOR OF COMPUTER SCIENCE AND OPERATIONS RESEARCH

UNIVERSITY OF MONTREAL



CASSIE KOZYRKOV

CHIEF DECISION SCIENTIST

GOOGLE



DR. WERNER VOGELS

CTO

AMAZON.COM



REDIET ABEBE

JUNIOR FELLOW  HARVARD SOCIETY OF FELLOWS

CO-FOUNDER BLACK IN AI

 


STUART RUSSELL

PROFESSOR OF COMPUTER SCIENCE

UNIVERSITY OF CALIFORNIA, BERKELEY



JOSEPH SIROSH

CORPORATE VICE PRESIDENT AND CTO AI

MICROSOFT



PROF. FRANCESCA ROSSI

AI ETHICS GLOBAL LEADER & PROFESSOR OF COMPUTER SCIENCE

IBM RESEARCH & UNIVERSITY OF PADOVA



DR. HUI XIONG

CHIEF SCIENTIST AND HEAD OF BUSINESS INTELLIGENCE LAB AND TALENT INTELLIGENCE
CENTER

BAIDU



KAY FIRTH BUTTERFIELD

HEAD OF AI & MACHINE LEARNING

WORLD ECONOMIC FORUM



XIAN-SHENG HUA

VICE PRESIDENT/DISTINGUISHED ENGINEER

ALIBABA



ZHANG TONG

EXECUTIVE DIRECTOR OF AI LAB

TENCENT



RALF HERBRICH

SVP BUILDER PLATFORM AND AI

ZALANDO SE



MEREDITH WHITTAKER

CO-FOUNDER

AI NOW INSTITUTE





TIMNIT GEBRU

RESEARCH SCIENTIST & COLEAD ETHICAL ARTIFICIAL INTELLIGENCE

FORMER GOOGLE

   


GRADY BOOCH

CHIEF SCIENTIST FOR SOFTWARE ENGINEERING & FELLOW

IBM RESEARCH





VIEW ALL SPEAKERS

 

LEARN ABOUT AI

Learn from the brightest and most influential people smashing through the
boundaries of possibility in AI

“DO” AI

Join our hands-on workshops and do everything from starting your own AI
experiment to deploying machine learning models to gain insight from data

NETWORKING

Enterprise, Startups, Investors, and Deep Tech will all gather under one roof
and we have the perfect AI-driven networking event app for you all to connect 

ENTERTAINMENT

We’re bringing the unique energy, fun and award-winning DJ World Summit AI is
known for, in a brand new and innovative format both online and at the in-person
summit!



.

"AT LAST A “NO BULLSHIT” CONFERENCE ON AI! CURATED SPEAKERS PROVIDED US WITH
FUNDAMENTAL INSIGHTS ON WHERE WE STAND AND WHERE WE GO WITH AI."

Chief Innovation Officer at Insign

"A WHIRLWIND 2 DAYS OF TALKS FROM SOME OF THE BIGGEST NAMES IN AI INCLUDING YANN
LECUN FROM FACEBOOK, HANDS-ON WORKSHOPS & NETWORKING OPPORTUNITIES. A CUTTING
EDGE LOOK AT THE FUTURE OF AI AND A SPACE WHERE THE BIGGEST PLAYERS IN THE GAME
COULD MEET AND NETWORK. WOW! "

Director at Digital Plus

"GREAT EVENT WHERE ENTERPRISE AND ACADEMIA MEET TO JOIN FORCES AND PUSH THE
LIMITS OF AI EVEN FURTHER"

Senior Scientist at
Philips


WORLD SUMMIT AI


GLOBAL SUMMIT SERIES

 

The WSAI Webinar series is bringing AI experts to you from a range of businesses
to go beyond the buzz and hype, share their developments, real-life use cases,
successes, challenges and the resultant impact on their businesses. Stay
connected and up-to-date with the latest developments happening within the world
of AI.

worldsummit.ai/webinars



04-05 May 2022

Montréal, Global AI Meet up

An exclusive gathering of the major influencers in AI globally across business,
science, and tech for two full days of mind-boggling innovation, heated
discussions on AI4good, applied solutions for enterprise, hands-on workshops,
and the development of plans for advancing the application of AI in the coming
year.

Book your ticket

americas.worldsummit.ai

13-14th October 2021

Amsterdam & Online


In 2021, World Summit AI returns to Amsterdam to bring the global AI community,
the world-class AI brains and unique energy it is renowned for to celebrate it’s
5th year under the theme “AI with Impact”


worldsummit.ai




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people live, work, play, and connect through great technology. We are inspired
by the genuine belief that we can change the world for the better. Find out
about some of the great initiatives we’re running in the UK to equip young
people for the technology-driven world of tomorrow, help businesses expand their
potential and even solve the impossible with Microsoft Research Cambridge.

Visit us at microsoft.com


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YANN LECUN

DIRECTOR AI RESEARCH AND SILVER PROFESSOR

FACEBOOK & NEW YORK UNIVERSITY



YOSHUA BENGIO

PROFESSOR OF COMPUTER SCIENCE AND OPERATIONS RESEARCH

UNIVERSITY OF MONTREAL

Yoshua Bengio is Full Professor of the Department of Computer Science and
Operations Research, head of the Montreal Institute for Learning Algorithms
(MILA), CIFAR Program co-director of the CIFAR program on Learning in Machines
and Brains,  Canada Research Chair in Statistical Learning Algorithms. His main
research ambition is to understand principles of learning that yield
intelligence. He supervises a large group of graduate students and post-docs.
His research is widely cited (over 80000 citations found by Google Scholar in
September 2017, with an H-index of 101).

Yoshua Bengio is currently action editor for the Journal of Machine Learning
Research, associate editor for the Neural Computation journal, editor for
Foundations and Trends in Machine Learning, and has been associate editor for
the Machine Learning Journal and the IEEE Transactions on Neural Networks.

CASSIE KOZYRKOV

CHIEF DECISION SCIENTIST

GOOGLE

CHIEF DECISION SCIENTIST

 

As Chief Decision Scientist at Google Cloud, Cassie Kozyrkov advises leadership
teams on the decision process, AI strategy, and building data-driven
organizations. She works to democratize statistical thinking and machine
learning so that everyone – Google, its customers, the world! – can harness the
beauty and power of data. She is the force behind bringing the practice of
Decision Intelligence to Google and she has personally trained over 15,000
Googlers in machine learning, statistics, and data-driven decision-making.

Before her current role, she served in Googles Office of the CTO as Chief Data
Scientist. Prior to joining Google, Cassie worked as a data scientist and
consultant. She holds degrees in mathematical statistics, economics, psychology,
and cognitive neuroscience. When she’s not working, you’re most likely to find
Cassie at the theatre, in an art museum, exploring the world, or curled up with
a good novel.

DR. WERNER VOGELS

CTO

AMAZON.COM

Dr. Werner Vogels is Chief Technology Officer at Amazon.com where he is
responsible for driving the company’s customer-centric technology vision.

As one of the forces behind Amazon’s approach to cloud computing, he is
passionate about helping young businesses reach global scale, and transforming
enterprises into fast-moving digital organizations.

Vogels joined Amazon in 2004 from Cornell University where he was a distributed
systems researcher. He has held technology leadership positions in companies
that handle the transition of academic technology into industry. Vogels holds a
PhD from the Vrije Universiteit in Amsterdam and has authored many articles on
distributed systems technologies for enterprise computing.

REDIET ABEBE

JUNIOR FELLOW  HARVARD SOCIETY OF FELLOWS

CO-FOUNDER BLACK IN AI

 

Rediet Abebe is a Junior Fellow at the Harvard Society of Fellows. She holds a
Ph.D. in computer science from Cornell University, where she was advised by Jon
Kleinberg, as well as an M.S. in applied mathematics from Harvard University, an
M.A. in mathematics from the University of Cambridge, and a B.A. in mathematics
from Harvard College. Her research is broadly in the fields of artificial
intelligence and algorithms, with a focus on discrete algorithms, optimization,
network and computational science, and their applications to equity and social
good concerns. As part of this research agenda, she co-founded and co-organizes
Mechanism Design for Social Good (MD4SG), a multi-institutional,
interdisciplinary research initiative working to improve access to opportunity
for historically underserved and disadvantaged communities. This initiative has
participants from over 100 institutions in 20 countries and has been supported
by organizations including Schmidt Futures, the MacArthur Foundation, and the
Institute for New Economic Thinking.

Abebe’s work has informed policy and practice at various organizations including
the National Institute of Health and the Ethiopian Ministry of Education.
Throughout 2019, she served on the NIH Advisory Committee to the Director
Working Group on AI, whose recommendations were unanimously approved by the
General Director’s advisory committee. Abebe was recently named one of 35
Innovators Under 35 by the MIT Technology Review. She has also been honored by
ELLE as a woman transforming technology and the 2019 Bloomberg 50 list as a “one
to watch.” She has recently presented her research in venues including the
National Academy of Sciences, the United Nations, and the Museum of Modern Art.
In 2017, Abebe co-founded Black in AI, a non-profit organization tackling
representation and inclusion issues in the field. Her research is deeply
influenced by her upbringing in her hometown of Addis Ababa, Ethiopia. 

 

STUART RUSSELL

PROFESSOR OF COMPUTER SCIENCE

UNIVERSITY OF CALIFORNIA, BERKELEY

Stuart Russell is a pioneer in the understanding and uses of artificial
intelligence (AI), its long-term future, and its relation to humanity. He also
is a leading authority on robotics and bioinformatics.

Stuart Russell is the author or coauthor of three books on knowledge, reasoning,
and machine learning, including the standard textbook on artificial
intelligence. Stuart Russell is a professor of Electrical Engineering and
Computer Sciences at UC-Berkeley and Adjunct Professor of Neurological Surgery
at UC-San Francisco.

Artificial intelligence. AI is a machine’s ability to perceive its environment
and use that information to maximise its chance at succeeding at some goal. All
of the technologies behind artificial intelligence are evolving at exponential
rates and are just now beginning to rocket up the curve. Soon artificially
intelligent machines will be doing things we can barely conceive, in virtually
every area of human business, life, and culture. Few people understand this
future better than Stuart Russell, who wrote the standard textbook on AI (with
coauthor Peter Norvig), now in its third edition.

Robotics. Stuart Russell is also a leading researcher in the practical
applications of machine intelligence. If AI is the brain of the machine of the
future, the robot is its body. Robots are taking over more and more functions
that once required a human actor, with far-reaching consequences — and
opportunities — for people, businesses, and society as a whole. He has focused
recently on the threat of autonomous weaponry.

Biological information. As an Adjunct Professor of Neurological Surgery, Stuart
has been researching computational physiology, with a current focus on Intensive
Care Unit monitoring systems. He is a leader in the development of technologies
that make sense of biological data and that apply this information in ways that
advance human health.

Credentials. In addition to the positions already mentioned, Stuart Russell
holds the SmithZadeh Chair in Engineering at UC-Berkeley and is Vice-Chair of
the World Economic Forum’s Council on AI and Robotics. He is the recipient of
many awards and held the Chaire Blaise Pascal in Paris from 2012 to 2014. He is
a researcher at a number of research centers, including the Berkeley Artificial
Intelligence Research Lab (BAIR), the Berkeley Center for New Media (BCNM), and
the Synthetic Biology Institute (SBI). He is the founder and Vice-President of
Bayesian Logic, Inc., a data analysis start-up under contract with the UN to
build a new Nuclear Test Ban Treaty global monitoring system.

JOSEPH SIROSH

CORPORATE VICE PRESIDENT AND CTO AI

MICROSOFT

Dr. Joseph Sirosh is the CTO for Microsoft AI. Prior to this role, he has served
as a Corporate Vice President of the AI and Data Platform at Microsoft
responsible for Databases, Big Data, Machine Learning Cognitive Services, Bot
Services and Information Management, and as the Vice President of the Global
Inventory Platform at Amazon where he also spent nearly 9 years in various roles
including building internal Machine Learning platforms. Prior to Amazon he was
the VP of R&D at Fair Isaac Corporation. He holds a PhD in Neural Networks from
the University of Texas at Austin and a BTech from Indian Institute of
Technology, Chennai.

PROF. FRANCESCA ROSSI

AI ETHICS GLOBAL LEADER & PROFESSOR OF COMPUTER SCIENCE

IBM RESEARCH & UNIVERSITY OF PADOVA

AI Ethics Global Leader, Distinguished Research Staff Member, IBM Research AI

 

Francesca Rossi is AI Ethics Global Leader, Distinguished Research Staff Member
at IBM Research AI and professor of computer science at the University of
Padova, Italy, currently on leave.

Her research interests focus on artificial intelligence, specifically they
include constraint reasoning, preferences, multi-agent systems, computational
social choice, and collective decision making. She is also interested in ethical
issues in the development and behaviour of AI systems, in particular for
decision support systems for group decision making. She has published over 170
scientific articles in journals and conference proceedings, and as book
chapters. She has co-authored a book. She has edited 17 volumes, between
conference proceedings, collections of contributions, special issues of
journals, as well as the Handbook of Constraint Programming.  She has more than
100 co-authors.

She is a AAAI and a EurAI fellow, and a Radcliffe fellow 2015. She has been
president of IJCAI and an executive councillor of AAAI. She is Editor in Chief
of JAIR and a member of the editorial board of Constraints, Artificial
Intelligence, AMAI, and KAIS. She co-chairs the AAAI committee on AI and ethics
and she is a member of the scientific advisory board of the Future of Life
Institute and of the Leverhulme Centre for the Future of Intelligence. She is in
the executive committee of the IEEE global initiative on ethical considerations
on the development of autonomous and intelligent systems and she belongs to the
World Economic Forum Council on AI and robotics. She is a member of the board of
directors of the Partnership on AI, where she represents IBM as one of the
founding partners. 

DR. HUI XIONG

CHIEF SCIENTIST AND HEAD OF BUSINESS INTELLIGENCE LAB AND TALENT INTELLIGENCE
CENTER

BAIDU

Hui Xiong is a Professor at Rutgers University, and is currently on leave and
serving as head of Business Intelligence Lab and Talent Intelligence Center at
Baidu Inc. His research interests include data mining, mobile computing, and
their applications in business. He has authored over 200 research articles, and
co-edited or coauthored 4 books including the widely used Encyclopedia of GIS,
which has been recognized as the Top 10 Most Popular Computer Science Book
authored by Chinese scholars at Springer. Dr. Xiong has served as chair/co-chair
for many international conferences in data mining, including a Program Co-Chair
(2013) and a General Co-Chair (2015) for the IEEE International Conference on
Data Mining (ICDM), and a Program Co-Chair of the Research Track (2018) and the
Industry Track (2012) for the ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (KDD). Dr. Xiong’s research has generated substantive
impact beyond academia. He is an ACM distinguished scientist and has been
honored by the 2018 Ram Charan Management Practice Award as the Grand Prix
winner from the Harvard Business Review, the 2017 IEEE ICDM Outstanding Service
Award, and the ICDM-2011 Best Research Paper Award.

KAY FIRTH BUTTERFIELD

HEAD OF AI & MACHINE LEARNING

WORLD ECONOMIC FORUM



XIAN-SHENG HUA

VICE PRESIDENT/DISTINGUISHED ENGINEER

ALIBABA



ZHANG TONG

EXECUTIVE DIRECTOR OF AI LAB

TENCENT



RALF HERBRICH

SVP BUILDER PLATFORM AND AI

ZALANDO SE

Ralf Herbrich leads a diverse range of departments and initiatives that have, at
their core, research in the area of artificial intelligence (AI), spanning data
science, machine learning and economics. Ralf’s teams apply and advance the
science in many established scientific fields including computer vision, natural
language processing, data science and economics. Ralf joined Zalando SE as SVP
Data Science and Machine Learning in January 2020. Previously, he served as
Managing Director of the Amazon Development Center in Germany (with its
locations in Berlin, Dresden, Aachen and Tübingen) and was Director of Machine
Learning at Amazon in Berlin from 2013. Prior to these roles, he led Facebook’s
Unified Ranking and Allocation team in 2011. From 2000 to 2011, he served as
Director of Microsoft’s Future Social Experiences (FUSE) Lab UK and worked for
nine years at Microsoft Research Lab in Cambridge, UK. Ralf has published over
80 peer-reviewed papers and holds over 40 patents. He obtained a Ph.D. in
Statistics from Technical University of Berlin in 2000 and his Diploma in
Computer Science from the same institution in 1997. His research interests
include Bayesian inference and decision making, natural language processing,
computer vision, learning theory, robotics, distributed systems and programming
languages. Ralf is one of the inventors of the Drivatars™ system in the Forza
Motorsport series as well as the TrueSkill™ ranking and matchmaking system in
Xbox Live.

MEREDITH WHITTAKER

CO-FOUNDER

AI NOW INSTITUTE



Meredith Whittaker is the Minderoo Research Professor at New York University and
the founder of Google’s Open Research group.

Her research and advocacy focus on the social implications of artificial
intelligence and the tech industry responsible for it, with a particular
emphasis on power and the political economy driving the commercialization of
computational technology. Prior to NYU, she worked at Google for over a decade,
where she led product and engineering teams, founded Google’s Open Research
Group, and co-founded M-Lab, a globally distributed network measurement platform
that now provides the world’s largest source of open data on internet
performance. She also worked extensively on issues of privacy and security,
helping provide funding, strategy, and support for efforts dedicated to
providing privacy from governments and large tech corporations. As a long-time
tech worker, she also helped lead labor organizing at Google. She was one of the
core organizers pushing back against Google’s military contracts, the company’s
insufficient response to concerns about AI and its harms, and was a central
organizer of the Google Walkout. She continues to work in solidarity with
organizers in tech, driven by the belief that worker power and collective action
are necessary to ensure meaningful tech accountability, especially in the
context of concentrated industrial power. She has advised the White House, the
FCC, the City of New York, the European Parliament, and many other governments
and civil society organizations on artificial intelligence, internet policy,
measurement, privacy, and security.

 

TIMNIT GEBRU

RESEARCH SCIENTIST & COLEAD ETHICAL ARTIFICIAL INTELLIGENCE

FORMER GOOGLE

   

Timnit is currently a research scientist at Google in the ethical AI team. Prior
to that Timnit did a postdoc at Microsoft Research, New York City in the FATE
(Fairness Transparency Accountability and Ethics in AI) group, where she studied
algorithmic bias and the ethical implications underlying any data mining project
(see this New York Times article for an example of my work). She received her
PhD from the Stanford Artificial Intelligence Laboratory, studying computer
vision under Fei-Fei Li. Timnit’s thesis pertains to data mining large scale
publicly available images to gain sociological insight, and working on computer
vision problems that arise as a result. The Economist, The New York Times and
others have covered part of this work. Some of the computer vision areas Timnit
is interested in include fine-grained image recognition, scalable annotation of
images, and domain adaptation. Prior to joining Fei-Fei’s lab she worked at
Apple designing circuits and signal processing algorithms for various Apple
products including the first iPad. Timnit also spent an obligatory year as an
entrepreneur (as all Stanford undergrads seem to do). Her research was supported
by the NSF foundation GRFP fellowship and the Stanford DARE fellowship

GRADY BOOCH

CHIEF SCIENTIST FOR SOFTWARE ENGINEERING & FELLOW

IBM RESEARCH



Grady Booch is Chief Scientist for Software Engineering at IBM Research where he
leads IBM’s research and development on embodied cognition. Having originated
the term and the practice of object-oriented design, he is best known for his
work in advancing the fields of software engineering and software architecture.
A co-author of the Unified Modeling Language (UML), a founding member of
the Agile Alliance, and a founding member of the Hillside Group, Grady has
published six books and several hundred technical articles, including an ongoing
column for IEEE Software and IEEE Spectrum. Grady is also a trustee for
the Computer History Museum. He is an IBM Fellow, an ACM Fellow, an IEEE Fellow,
has been awarded the Lovelace Medal and given the Turing Lecture for the BCS,
and was named an IEEE Computer Pioneer for his work in software architecture.

Grady has served as an architect or architectural mentor for a multitude of
complex software-intensive systems across many domains around the world,
including finance, transportation, defense, commerce, productivity, government,
medical, gaming, animation, software development, artificial intelligence, and
many others.

Grady is currently developing a major transmedia documentary for public
broadcast on the intersection of computing and the human experience: Computing.