SlideShare une entreprise Scribd logo
1  sur  72
Télécharger pour lire hors ligne
Wanderli.st
                              Steven Lehrburger




Hi!

My name is Steven Lehrburger, and I’ve been building Wanderli.st.
http://wanderli.st
             wander the Internet, bring your friends




So that we can wander the Internet, and bring our friends.

To all of you people that typing in that URL, it’s just a placeholder -
http://alpha.wanderli.st
             wander the Internet, bring your friends




- try alpha.wanderli.st instead. I’ve spent a most of my time writing code this semester and
getting the data model right, and you’re welcome to go to that unfinished prototype and play
with it now if you like.

But I’m not going to demo it here and now. I have more exciting and interesting things to say
than what you’ll find there.

So. That said -
what is Wanderli.st?

           • an application to let us socialize within online
               contexts that are like our offline contexts

           • a tool for managing and synchronizing
               relationships across social websites




- what is Wanderli.st?


   an application to let us socialize within online contexts that are like our offline contexts


   a tool for managing and synchronizing relationships across social websites
what is Wanderli.st for?

            • to fill-out current friends lists
            • whenever you meet someone new
            • whenever you want to try a new site
            • to manage your privacy


So, what specifically will it be for? It’s a tool for these things:


    1) there are lots of people we know on different websites, but in some places we’re not
“friends” with everyone we’d like to be friends with


   2) whenever you meet someone new and want to add him or her as a friend


   3) whenever you want to try a new site and quickly add all of the relevant friends


   4) to manage your privacy and check on who can see what
So, first, I want to address the obvious question.
why not                             for everything?




Why not Facebook for everything?

Facebook was started as an online social space for college students.
real life is not like college




Real life is not like college -
real life is not like college, unfortunately.




- unfortunately.

College is just a single social context. Real life is much more complicated.

And as Facebook slowly grew to include people in high school, and -
- they’ve continually expanded their scope and pushed social contexts together.

Facebook wants to own the social graph - the network of connections between all people,
and now, with their recent announcements about their Open Graph protocol, the want
information about every person and every object.

And it’s unclear if that is a Good Thing.
So how do they make this work? You can connect your Facebook account with many other
websites.


   Which lets you brings your friends with you..


   ..but also publishes content back to your Facebook profile, so that *all* of your friends
can see it.
And then if you use Facebook connect with more sites, then more “stories” get published
back.

And you don’t know what stories are there, and you don’t know which stories get shown to
which people in their feeds.

It’s a disaster. I don’t want my friends seeing stuff I don’t want them to see, or seeing stuff
that they don’t care to see.

“Super publics” that include everyone aren’t good for anyone... except Facebook, which gets
all of this monetizable data. Great.

So, are we stuck with Facebook forever?
what about Friendster                     ? and            MySpace?




Were we stuck with Friendster and MySpace? No. People left, en masse.

These diasporas from social networking websites have happened before, and could happen
again.

How long will Facebook be around?

But then, on the other hand, maybe forever? Hasn’t Facebook learned from the mistakes of
others? Aren’t they big enough? The have four hundred million users... -
- and yet another diaspora might be beginning - Facebook’s users are becoming increasingly
angry at the ever changing privacy settings, and many are leaving.
why not                             for everything?




So, why not Facebook for everything?

Fuck Facebook. The Internet is bigger and better than that.
people are social




So, let’s start here. People are social! We gather, we share things, and that makes us happy.
people are good at being social




And we’re good at being social.
people are good at being social in physical space




But really best at being social in physical space, because that’s where we learned to do it.

And the constraints of physical space are essential. Only the people in this room can hear me
now, and I'm able (and expected!) to act differently based on where I am and who I’m with.
Take a moment to imagine how you act around the dinner table with your family.

What you say, what you’re wearing, what your body language is like.

And compare that to how you might act -
http://www.flickr.com/photos/amossin/1444645748/
- in Grand Central, which is very public and anonymous, -
http://www.flickr.com/photos/acnatta/3163190249/
- or in, a crowded bar, where it’s loud and people are drinking -
http://www.flickr.com/photos/us_mission_canada/4462340249/
- or in a classroom, where there are clear hierarchies of authority -

(
...and don’t doubt that every one of those kids is on Facebook.

What happens when one adds the teacher as a “friend”?
)
http://www.flickr.com/photos/lifeundefined/3118954113/
- or a quiet café, where everyone is in quiet concentration.
[insert image of the Internet here]




But how do you act online? You can’t take a picture of the Internet. It’s not in physical space.

Online it’s hard to modulate our behavior based on social context, where we don’t have the
constraints of physical space and the ability to tell who is there and who is not.
the Internet




So, the Internet.
the Internet is for socializing




A lot of the time, we’re using the Internet to socialize - sharing content, photos, videos,
statuses, etcetera.

Can the Internet be at all like physical space?
There are certainly lots of “places” online for socializing, whether they’re tied to Facebook or
not.

And each site is for different things.

Flickr is for your photos, Foursquare is for where you are, GitHub is for your code.

And often the sites are for different groups of people with whom you want to share those
different things.
So I know a lot of different people on the Internet.

What happens when I start to think of each site as a real place?
Let’s orient those sites in physical space, on a map, on -
http://xkcd.com/256
- this Map of Online Communities, from the web comic xkcd.

Remember, the Internet is bigger than Facebook.
http://www.flickr.com/photos/insunlight/3946559430
I was looking at this map and thinking about how online spaces were like physical spaces.

In physical space, it’s really easy to tell who is present, who can hear you, who can see what
you’re doing.

But online, it’s hard to know who can see what.


   Which is a problem from a privacy standpoint, because I don’t want everyone to know
everything.


   But it’s also a problem from a filtering standpoint, because not everyone *wants* to know
everything.

So right now our online social spaces are not enough like our offline spaces.
Wanderli.st
             wander the Internet, bring your friends




I started to build Wanderli.st to solve this problem.


   So that all the right people, and only the right people, see whatever it is I’m sharing.

The first thing to do is consolidate all of those user accounts on other services, so that they
correspond to real individuals that I know.
So, going back to this “map” of users and websites.
How do we figure out that all of these user accounts -
?   ?   ?   ?   ?
                     =   =   =   =   =




- are the same person?
websites have APIs




Websites have APIs, or application programming interfaces.

Which are ways of interacting with their data in your own software.
hi! tell me about my friends

     http://api.foursquare.com/v1/friends.json




So I can go to Foursquare and say “Hi! Tell me about my friends.”

I’ll use my friend Jorge as an example here.
sure! here they are, one by one

    {
             "id": 646,
             "firstname": "Jorge",
             "lastname": "Ortiz",
             "photo": "",
             "gender": "male",
             "phone": "6505553675",
             "email": "jorge.ortiz@gmail.com",
             "twitter": "jorgeortiz85",
             "facebook": "201149"
    }



And then Foursquare will say “Sure! Here they are one by one.”

And I get this specially-formatted text back about each one.
hi! tell me about my friends

    http://api.twitter.com/1/statuses/
    friends.json




So then it can go to Twitter, and ask for the same information.
sure! here they are, one by one
    {
        "geo_enabled": true,
        "followers_count": 686,
        "description": "",
        "lang": "en",
        "profile_text_color": "3E4415",
        "profile_image_url": "http://a1.twimg.com/profile_images/31208162/n201149_31531916_6855_normal.jpg",
        "status": {
            "in_reply_to_user_id": null,
            "created_at": "Thu May 06 05:43:05 +0000 2010",
            "source": "<a href="http://www.atebits.com/" rel="nofollow">Tweetie</a>",
            "place": null,
            "in_reply_to_screen_name": null,
            "geo": null,
            "truncated": false,
            "coordinates": null,
            "user": {
                "id": 6001592
            },
            "in_reply_to_status_id": null,
            "favorited": false,
            "id": 13471383111,
            "contributors": null,
            "text": "RT @felixsalmon: Truly geektastically wonderful: xkcd's Color Survey Results http://bit.ly/ags4hD"
        },
        "created_at": "Sun May 13 03:40:02 +0000 2007",
        "friends_count": 389,
        "profile_link_color": "D02B55",
        "screen_name": "jorgeortiz85",
        "following": true,
        "verified": false,
        "time_zone": "Pacific Time (US & Canada)",
        "favourites_count": 624,
        "profile_sidebar_fill_color": "99CC33",
        "url": "http://www.linkedin.com/in/jorgeo",
        "profile_sidebar_border_color": "829D5E",
        "protected": false,
        "location": "San Francisco, CA",
        "statuses_count": 4515,
        "notifications": false,
        "profile_background_image_url": "http://s.twimg.com/a/1272919576/images/themes/theme5/bg.gif",
        "name": "Jorge Ortiz",
        "id": 6001592,
        "contributors_enabled": false,
        "profile_background_tile": false,
        "utc_offset": -28800,
        "profile_background_color": "352726"
    }



And Twitter gives us way more data back about Jorge than we actually need.

But we can -
sure! here they are, one by one
    {
        "geo_enabled": true,
        "followers_count": 686,
        "description": "",
        "lang": "en",
        "profile_text_color": "3E4415",
        "profile_image_url": "http://a1.twimg.com/profile_images/31208162/n201149_31531916_6855_normal.jpg",
        "status": {
            "in_reply_to_user_id": null,
            "created_at": "Thu May 06 05:43:05 +0000 2010",
            "source": "<a href="http://www.atebits.com/" rel="nofollow">Tweetie</a>",
            "place": null,
            "in_reply_to_screen_name": null,
            "geo": null,
            "truncated": false,
            "coordinates": null,
            "user": {
                "id": 6001592
            },
            "in_reply_to_status_id": null,
            "favorited": false,
            "id": 13471383111,
            "contributors": null,
            "text": "RT @felixsalmon: Truly geektastically wonderful: xkcd's Color Survey Results http://bit.ly/ags4hD"
        },
        "created_at": "Sun May 13 03:40:02 +0000 2007",
        "friends_count": 389,
        "profile_link_color": "D02B55",
        "screen_name": "jorgeortiz85",
        "following": true,
        "verified": false,
        "time_zone": "Pacific Time (US & Canada)",
        "favourites_count": 624,
        "profile_sidebar_fill_color": "99CC33",
        "url": "http://www.linkedin.com/in/jorgeo",
        "profile_sidebar_border_color": "829D5E",
        "protected": false,
        "location": "San Francisco, CA",
        "statuses_count": 4515,
        "notifications": false,
        "profile_background_image_url": "http://s.twimg.com/a/1272919576/images/themes/theme5/bg.gif",
        "name": "Jorge Ortiz",
        "id": 6001592,
        "contributors_enabled": false,
        "profile_background_tile": false,
        "utc_offset": -28800,
        "profile_background_color": "352726"
    }



- pick out what we want, see those two bits at the bottom -
{
             "screen_name": "jorgeortiz85",
             "name": "Jorge Ortiz"
    }




- enlarged here, and take those pieces of information about Jorge -
{
            "screen_name": "jorgeortiz85",
            "name": "Jorge Ortiz"
    }
    {
            "id": 646,
            "firstname": "Jorge",
            "lastname": "Ortiz",
            "photo": "",
            "gender": "male",
            "phone": "6505553675",
            "email": "jorge.ortiz@gmail.com",
            "twitter": "jorgeortiz85",
            "facebook": "201149"
    }
- and compare them to the corresponding information from Foursquare.
{
             "screen_name": "jorgeortiz85",
             "name": "Jorge Ortiz"
    }
    {
             "id": 646,
             "firstname": "Jorge",
             "lastname": "Ortiz",
             "photo": "",
             "gender": "male",
             "phone": "6505553675",
             "email": "jorge.ortiz@gmail.com",
             "twitter": "jorgeortiz85",
             "facebook": "201149"
    }
Both sites have the same name for that contact, and the same twitter screenname.
=




So now Wanderli.st knows that the Twitter account and the Foursquare account both belong
to Jorge, and the user didn’t have to do anything!

*Which is a bit of magic that has only recently become possible.*
=              =          =          =           =




And then it can leverage all of these new APIs to extend that process to other websites.

Wanderli.st can “recognize” people for us in a variety of places, just like we do in the real
world.
then Wanderli.st can tell you who you know
                                                and where they are




So then Wanderli.st can tell you who you know and where they are, on all the different social
websites.

Which is great, because it’s hard to know that now, with each site having its own separate
page for your friends.
But, back to these social contexts. How can we recreate them online?
do we really need social contexts online?




Before I explain how Wanderli.st will let us recreate those social contexts online,

I want to explain why they are so important, and the disasters that result when they break
down.
Some might say that you should not put anything online that you don’t want completely
public.

But that doesn’t work when we have centralized online identities, like we do on Facebook,
where *other people* can associate content with your profile.
So for example, take this photo of me. I’m wearing a bowler hat, holding a green apple,
playing beer pong at a party.

Only somewhat embarrassing, but not something I want associated with my public identity
online.

And it’s not a piece of content I created!
Katy posted the photo, tagged me, and the notification of that tag went to some number of
my friends.

And all of that happened before I saw the corresponding email hours later.
centralized identities require constant vigilance




This sort of centralized identity requires constant vigilance.

But it’s more than just a privacy thing.
different people care about different things




Filtering matters too. Different people care about different things.
Some of my friends care about my code, and how paging works when fetching Twitter
contacts -
- some of my friends care about my photos... of cracks in the floor.

But not everyone cares about everything.
let users create custom groups of their contacts




What if we let users create custom groups of their contacts to match how they think of people
in the real world.
• family
          • friends
          • coworkers
          • exgirlfriends
          • programmers
          • photographers
These are some groups that I might want, but others would have different groups.
• everyone - coworkers
           • friends - friends of exgirlfriends
           • coworkers + programmers
           • family + friends + photographers
           • college friends ∩ people in NYC

These are some of the social context based on those groups

In the last one, that upside down U is the symbol for an intersection in set theory - it’s just
the people in both groups. If most of my friends from college are still in California, I don’t
want to invite *all* of them to this alumni event.
add/remove “friends” based on those groups/sets




So *this* is the most interesting part.

Use the websites’ API’s again to add or remove people as friends based on the groups.

So Wanderli.st can let users say


   Make my vacation photos on this one Flickr account public to the world,


   But hide the photos from that party on my private Flickr account from almost everyone
except these groups.
• everyone - coworkers
           • friends - friends of exgirlfriends
           • coworkers + programmers
           • family + friends + photographers
           • college friends ∩ people in NYC

And then I get this.

(explain each group)

My relationships are managed from one central place, defining my “friendships” on third-
party sites, based on the real-world contexts in which I actually know people.
(take a deep breath)

So that’s Wanderli.st.
let other sites worry about content!




To be clear, Wanderli.st never needs to interact directly with content to be useful.
aggregators




                         sites for content sharing




                            contact management


I understand the social Internet as having three layers. Aggregators, sites for content sharing,
and contact management.


   The middle layer is the websites where people actually create and share content.


   The aggregation tools in the top layer bring all of that content into one place.
And here are some examples of these services.
And these aggregators get information from the content providers.
Wanderli.st just synchronizes the relationship data with the content providers, but doesn’t
interact with the content itself. The aggregators can do that. It’s a separate task.
why Wanderli.st?
why Wanderli.st?

           • separate connections from content
           • no single point of failure
           • users own their data
           • manageable privacy and filtering
           • a more distributed and open Internet

So why Wanderli.st?

1) Separate connections between people from the content they share.

   Otherwise it will eventually meet the same fate as Facebook

2) No single point of failure - bad things can happen to good databases, privacy exploits.

3) Data lock-in is evil. Let users take their information wherever they want.

4) Privacy at the account level, not as an additional layer.


    If I’m friends with you, you can see my content.

    None of these additional confusing layers and hidden privacy settings.

5) Create a more distributed and open Internet!
next steps...



Next steps include:


   1) Add more to the prototype.


   2) Get some angel funding.


   3) Hire developers.
thank you!
  ITP, Jorge Ortiz, Clay Shirky, Kio Stark, Kevin Slavin,
   Kathleen Wilson, Nancy Hechinger, John Dimatos,
 Thomas Robertson, Liesje Hodgson, Meredith Hasson,
   Bryan Lence, Jorge Just, Angela Chen, Daniel Arcé,
  Diego Rioja, Jill Haefele, Nicholas Rubin, Jason Safir,
 Zoe Fraade-Blanar, Winslow Porter, Peter Esveld, Amy
  Lehrburger, Karen Lehrburger, and Jim Lehrburger
Thank You
questions?

Contenu connexe

Dernier

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 

Dernier (20)

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 

En vedette

PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)contently
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024Albert Qian
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsKurio // The Social Media Age(ncy)
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summarySpeakerHub
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next Tessa Mero
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best PracticesVit Horky
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project managementMindGenius
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...RachelPearson36
 
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Applitools
 
12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at Work12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at WorkGetSmarter
 
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...DevGAMM Conference
 

En vedette (20)

Skeleton Culture Code
Skeleton Culture CodeSkeleton Culture Code
Skeleton Culture Code
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
 
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
 
12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at Work12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at Work
 
ChatGPT webinar slides
ChatGPT webinar slidesChatGPT webinar slides
ChatGPT webinar slides
 
More than Just Lines on a Map: Best Practices for U.S Bike Routes
More than Just Lines on a Map: Best Practices for U.S Bike RoutesMore than Just Lines on a Map: Best Practices for U.S Bike Routes
More than Just Lines on a Map: Best Practices for U.S Bike Routes
 
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
 

Wanderli.st - Thesis Presentation

  • 1. Wanderli.st Steven Lehrburger Hi! My name is Steven Lehrburger, and I’ve been building Wanderli.st.
  • 2. http://wanderli.st wander the Internet, bring your friends So that we can wander the Internet, and bring our friends. To all of you people that typing in that URL, it’s just a placeholder -
  • 3. http://alpha.wanderli.st wander the Internet, bring your friends - try alpha.wanderli.st instead. I’ve spent a most of my time writing code this semester and getting the data model right, and you’re welcome to go to that unfinished prototype and play with it now if you like. But I’m not going to demo it here and now. I have more exciting and interesting things to say than what you’ll find there. So. That said -
  • 4. what is Wanderli.st? • an application to let us socialize within online contexts that are like our offline contexts • a tool for managing and synchronizing relationships across social websites - what is Wanderli.st? an application to let us socialize within online contexts that are like our offline contexts a tool for managing and synchronizing relationships across social websites
  • 5. what is Wanderli.st for? • to fill-out current friends lists • whenever you meet someone new • whenever you want to try a new site • to manage your privacy So, what specifically will it be for? It’s a tool for these things: 1) there are lots of people we know on different websites, but in some places we’re not “friends” with everyone we’d like to be friends with 2) whenever you meet someone new and want to add him or her as a friend 3) whenever you want to try a new site and quickly add all of the relevant friends 4) to manage your privacy and check on who can see what
  • 6. So, first, I want to address the obvious question.
  • 7. why not for everything? Why not Facebook for everything? Facebook was started as an online social space for college students.
  • 8. real life is not like college Real life is not like college -
  • 9. real life is not like college, unfortunately. - unfortunately. College is just a single social context. Real life is much more complicated. And as Facebook slowly grew to include people in high school, and -
  • 10. - they’ve continually expanded their scope and pushed social contexts together. Facebook wants to own the social graph - the network of connections between all people, and now, with their recent announcements about their Open Graph protocol, the want information about every person and every object. And it’s unclear if that is a Good Thing.
  • 11. So how do they make this work? You can connect your Facebook account with many other websites. Which lets you brings your friends with you.. ..but also publishes content back to your Facebook profile, so that *all* of your friends can see it.
  • 12. And then if you use Facebook connect with more sites, then more “stories” get published back. And you don’t know what stories are there, and you don’t know which stories get shown to which people in their feeds. It’s a disaster. I don’t want my friends seeing stuff I don’t want them to see, or seeing stuff that they don’t care to see. “Super publics” that include everyone aren’t good for anyone... except Facebook, which gets all of this monetizable data. Great. So, are we stuck with Facebook forever?
  • 13. what about Friendster ? and MySpace? Were we stuck with Friendster and MySpace? No. People left, en masse. These diasporas from social networking websites have happened before, and could happen again. How long will Facebook be around? But then, on the other hand, maybe forever? Hasn’t Facebook learned from the mistakes of others? Aren’t they big enough? The have four hundred million users... -
  • 14. - and yet another diaspora might be beginning - Facebook’s users are becoming increasingly angry at the ever changing privacy settings, and many are leaving.
  • 15. why not for everything? So, why not Facebook for everything? Fuck Facebook. The Internet is bigger and better than that.
  • 16. people are social So, let’s start here. People are social! We gather, we share things, and that makes us happy.
  • 17. people are good at being social And we’re good at being social.
  • 18. people are good at being social in physical space But really best at being social in physical space, because that’s where we learned to do it. And the constraints of physical space are essential. Only the people in this room can hear me now, and I'm able (and expected!) to act differently based on where I am and who I’m with.
  • 19. Take a moment to imagine how you act around the dinner table with your family. What you say, what you’re wearing, what your body language is like. And compare that to how you might act -
  • 20. http://www.flickr.com/photos/amossin/1444645748/ - in Grand Central, which is very public and anonymous, -
  • 21. http://www.flickr.com/photos/acnatta/3163190249/ - or in, a crowded bar, where it’s loud and people are drinking -
  • 22. http://www.flickr.com/photos/us_mission_canada/4462340249/ - or in a classroom, where there are clear hierarchies of authority - ( ...and don’t doubt that every one of those kids is on Facebook. What happens when one adds the teacher as a “friend”? )
  • 23. http://www.flickr.com/photos/lifeundefined/3118954113/ - or a quiet café, where everyone is in quiet concentration.
  • 24. [insert image of the Internet here] But how do you act online? You can’t take a picture of the Internet. It’s not in physical space. Online it’s hard to modulate our behavior based on social context, where we don’t have the constraints of physical space and the ability to tell who is there and who is not.
  • 25. the Internet So, the Internet.
  • 26. the Internet is for socializing A lot of the time, we’re using the Internet to socialize - sharing content, photos, videos, statuses, etcetera. Can the Internet be at all like physical space?
  • 27. There are certainly lots of “places” online for socializing, whether they’re tied to Facebook or not. And each site is for different things. Flickr is for your photos, Foursquare is for where you are, GitHub is for your code. And often the sites are for different groups of people with whom you want to share those different things.
  • 28. So I know a lot of different people on the Internet. What happens when I start to think of each site as a real place?
  • 29. Let’s orient those sites in physical space, on a map, on -
  • 30. http://xkcd.com/256 - this Map of Online Communities, from the web comic xkcd. Remember, the Internet is bigger than Facebook.
  • 31. http://www.flickr.com/photos/insunlight/3946559430 I was looking at this map and thinking about how online spaces were like physical spaces. In physical space, it’s really easy to tell who is present, who can hear you, who can see what you’re doing. But online, it’s hard to know who can see what. Which is a problem from a privacy standpoint, because I don’t want everyone to know everything. But it’s also a problem from a filtering standpoint, because not everyone *wants* to know everything. So right now our online social spaces are not enough like our offline spaces.
  • 32. Wanderli.st wander the Internet, bring your friends I started to build Wanderli.st to solve this problem. So that all the right people, and only the right people, see whatever it is I’m sharing. The first thing to do is consolidate all of those user accounts on other services, so that they correspond to real individuals that I know.
  • 33. So, going back to this “map” of users and websites.
  • 34. How do we figure out that all of these user accounts -
  • 35. ? ? ? ? ? = = = = = - are the same person?
  • 36. websites have APIs Websites have APIs, or application programming interfaces. Which are ways of interacting with their data in your own software.
  • 37. hi! tell me about my friends http://api.foursquare.com/v1/friends.json So I can go to Foursquare and say “Hi! Tell me about my friends.” I’ll use my friend Jorge as an example here.
  • 38. sure! here they are, one by one { "id": 646, "firstname": "Jorge", "lastname": "Ortiz", "photo": "", "gender": "male", "phone": "6505553675", "email": "jorge.ortiz@gmail.com", "twitter": "jorgeortiz85", "facebook": "201149" } And then Foursquare will say “Sure! Here they are one by one.” And I get this specially-formatted text back about each one.
  • 39. hi! tell me about my friends http://api.twitter.com/1/statuses/ friends.json So then it can go to Twitter, and ask for the same information.
  • 40. sure! here they are, one by one { "geo_enabled": true, "followers_count": 686, "description": "", "lang": "en", "profile_text_color": "3E4415", "profile_image_url": "http://a1.twimg.com/profile_images/31208162/n201149_31531916_6855_normal.jpg", "status": { "in_reply_to_user_id": null, "created_at": "Thu May 06 05:43:05 +0000 2010", "source": "<a href="http://www.atebits.com/" rel="nofollow">Tweetie</a>", "place": null, "in_reply_to_screen_name": null, "geo": null, "truncated": false, "coordinates": null, "user": { "id": 6001592 }, "in_reply_to_status_id": null, "favorited": false, "id": 13471383111, "contributors": null, "text": "RT @felixsalmon: Truly geektastically wonderful: xkcd's Color Survey Results http://bit.ly/ags4hD" }, "created_at": "Sun May 13 03:40:02 +0000 2007", "friends_count": 389, "profile_link_color": "D02B55", "screen_name": "jorgeortiz85", "following": true, "verified": false, "time_zone": "Pacific Time (US & Canada)", "favourites_count": 624, "profile_sidebar_fill_color": "99CC33", "url": "http://www.linkedin.com/in/jorgeo", "profile_sidebar_border_color": "829D5E", "protected": false, "location": "San Francisco, CA", "statuses_count": 4515, "notifications": false, "profile_background_image_url": "http://s.twimg.com/a/1272919576/images/themes/theme5/bg.gif", "name": "Jorge Ortiz", "id": 6001592, "contributors_enabled": false, "profile_background_tile": false, "utc_offset": -28800, "profile_background_color": "352726" } And Twitter gives us way more data back about Jorge than we actually need. But we can -
  • 41. sure! here they are, one by one { "geo_enabled": true, "followers_count": 686, "description": "", "lang": "en", "profile_text_color": "3E4415", "profile_image_url": "http://a1.twimg.com/profile_images/31208162/n201149_31531916_6855_normal.jpg", "status": { "in_reply_to_user_id": null, "created_at": "Thu May 06 05:43:05 +0000 2010", "source": "<a href="http://www.atebits.com/" rel="nofollow">Tweetie</a>", "place": null, "in_reply_to_screen_name": null, "geo": null, "truncated": false, "coordinates": null, "user": { "id": 6001592 }, "in_reply_to_status_id": null, "favorited": false, "id": 13471383111, "contributors": null, "text": "RT @felixsalmon: Truly geektastically wonderful: xkcd's Color Survey Results http://bit.ly/ags4hD" }, "created_at": "Sun May 13 03:40:02 +0000 2007", "friends_count": 389, "profile_link_color": "D02B55", "screen_name": "jorgeortiz85", "following": true, "verified": false, "time_zone": "Pacific Time (US & Canada)", "favourites_count": 624, "profile_sidebar_fill_color": "99CC33", "url": "http://www.linkedin.com/in/jorgeo", "profile_sidebar_border_color": "829D5E", "protected": false, "location": "San Francisco, CA", "statuses_count": 4515, "notifications": false, "profile_background_image_url": "http://s.twimg.com/a/1272919576/images/themes/theme5/bg.gif", "name": "Jorge Ortiz", "id": 6001592, "contributors_enabled": false, "profile_background_tile": false, "utc_offset": -28800, "profile_background_color": "352726" } - pick out what we want, see those two bits at the bottom -
  • 42. { "screen_name": "jorgeortiz85", "name": "Jorge Ortiz" } - enlarged here, and take those pieces of information about Jorge -
  • 43. { "screen_name": "jorgeortiz85", "name": "Jorge Ortiz" } { "id": 646, "firstname": "Jorge", "lastname": "Ortiz", "photo": "", "gender": "male", "phone": "6505553675", "email": "jorge.ortiz@gmail.com", "twitter": "jorgeortiz85", "facebook": "201149" } - and compare them to the corresponding information from Foursquare.
  • 44. { "screen_name": "jorgeortiz85", "name": "Jorge Ortiz" } { "id": 646, "firstname": "Jorge", "lastname": "Ortiz", "photo": "", "gender": "male", "phone": "6505553675", "email": "jorge.ortiz@gmail.com", "twitter": "jorgeortiz85", "facebook": "201149" } Both sites have the same name for that contact, and the same twitter screenname.
  • 45. = So now Wanderli.st knows that the Twitter account and the Foursquare account both belong to Jorge, and the user didn’t have to do anything! *Which is a bit of magic that has only recently become possible.*
  • 46. = = = = = And then it can leverage all of these new APIs to extend that process to other websites. Wanderli.st can “recognize” people for us in a variety of places, just like we do in the real world.
  • 47. then Wanderli.st can tell you who you know and where they are So then Wanderli.st can tell you who you know and where they are, on all the different social websites. Which is great, because it’s hard to know that now, with each site having its own separate page for your friends.
  • 48. But, back to these social contexts. How can we recreate them online?
  • 49. do we really need social contexts online? Before I explain how Wanderli.st will let us recreate those social contexts online, I want to explain why they are so important, and the disasters that result when they break down.
  • 50. Some might say that you should not put anything online that you don’t want completely public. But that doesn’t work when we have centralized online identities, like we do on Facebook, where *other people* can associate content with your profile.
  • 51. So for example, take this photo of me. I’m wearing a bowler hat, holding a green apple, playing beer pong at a party. Only somewhat embarrassing, but not something I want associated with my public identity online. And it’s not a piece of content I created!
  • 52. Katy posted the photo, tagged me, and the notification of that tag went to some number of my friends. And all of that happened before I saw the corresponding email hours later.
  • 53. centralized identities require constant vigilance This sort of centralized identity requires constant vigilance. But it’s more than just a privacy thing.
  • 54. different people care about different things Filtering matters too. Different people care about different things.
  • 55. Some of my friends care about my code, and how paging works when fetching Twitter contacts -
  • 56. - some of my friends care about my photos... of cracks in the floor. But not everyone cares about everything.
  • 57. let users create custom groups of their contacts What if we let users create custom groups of their contacts to match how they think of people in the real world.
  • 58. • family • friends • coworkers • exgirlfriends • programmers • photographers These are some groups that I might want, but others would have different groups.
  • 59. • everyone - coworkers • friends - friends of exgirlfriends • coworkers + programmers • family + friends + photographers • college friends ∩ people in NYC These are some of the social context based on those groups In the last one, that upside down U is the symbol for an intersection in set theory - it’s just the people in both groups. If most of my friends from college are still in California, I don’t want to invite *all* of them to this alumni event.
  • 60. add/remove “friends” based on those groups/sets So *this* is the most interesting part. Use the websites’ API’s again to add or remove people as friends based on the groups. So Wanderli.st can let users say Make my vacation photos on this one Flickr account public to the world, But hide the photos from that party on my private Flickr account from almost everyone except these groups.
  • 61. • everyone - coworkers • friends - friends of exgirlfriends • coworkers + programmers • family + friends + photographers • college friends ∩ people in NYC And then I get this. (explain each group) My relationships are managed from one central place, defining my “friendships” on third- party sites, based on the real-world contexts in which I actually know people.
  • 62. (take a deep breath) So that’s Wanderli.st.
  • 63. let other sites worry about content! To be clear, Wanderli.st never needs to interact directly with content to be useful.
  • 64. aggregators sites for content sharing contact management I understand the social Internet as having three layers. Aggregators, sites for content sharing, and contact management. The middle layer is the websites where people actually create and share content. The aggregation tools in the top layer bring all of that content into one place.
  • 65. And here are some examples of these services.
  • 66. And these aggregators get information from the content providers.
  • 67. Wanderli.st just synchronizes the relationship data with the content providers, but doesn’t interact with the content itself. The aggregators can do that. It’s a separate task.
  • 69. why Wanderli.st? • separate connections from content • no single point of failure • users own their data • manageable privacy and filtering • a more distributed and open Internet So why Wanderli.st? 1) Separate connections between people from the content they share. Otherwise it will eventually meet the same fate as Facebook 2) No single point of failure - bad things can happen to good databases, privacy exploits. 3) Data lock-in is evil. Let users take their information wherever they want. 4) Privacy at the account level, not as an additional layer. If I’m friends with you, you can see my content. None of these additional confusing layers and hidden privacy settings. 5) Create a more distributed and open Internet!
  • 70. next steps... Next steps include: 1) Add more to the prototype. 2) Get some angel funding. 3) Hire developers.
  • 71. thank you! ITP, Jorge Ortiz, Clay Shirky, Kio Stark, Kevin Slavin, Kathleen Wilson, Nancy Hechinger, John Dimatos, Thomas Robertson, Liesje Hodgson, Meredith Hasson, Bryan Lence, Jorge Just, Angela Chen, Daniel Arcé, Diego Rioja, Jill Haefele, Nicholas Rubin, Jason Safir, Zoe Fraade-Blanar, Winslow Porter, Peter Esveld, Amy Lehrburger, Karen Lehrburger, and Jim Lehrburger Thank You