Public Event

In Person

How Data Happened: Book Talk with Chris Wiggins and Matthew L. Jones

Register for Event

RSVP

Dec

5

Join us for a book talk with authors Chris Wiggins and Matthew L. Jones, who will discuss their new book How Data Happened: A History from the Age of Reason to the Age of Algorithms, moderated by Liz O'Sullivan.

While data involves technology and math, it’s not a black box or monolith we have to obey. It’s an unstable, contingent power struggle among states, corporations, and people. The book is a must-read for data scientists and global citizens alike: it lays out the history and rules of this struggle so we can collectively create a future where data serves our highest goals of humanism and progress. Wiggins and Jones marshal the work of experts to reveal how algorithmic systems reproduce, via automated decisions, systemic inequalities.

The first 20 attendees will receive a copy of How Data Happened: A History from the Age of Reason to the Age of Algorithms

Wiggins is a data scientist who developed machine learning methods at Columbia and is chief data scientist at The New York Times. Jones is a historian of science. Their broad and deep expertise and complementary perspectives make them the ideal guides to explain the history of data and its technical, political, and ethical impact on our world.

when

Tuesday
December 5, 2023
6:00 pm

LoCATION

Betaworks • 29 Little W 12th St. • New York, NY 10014

agenda

Speakers

Chris Wiggins

Chief Data Scientist
The New York Times
Biography

Chris Wiggins is an associate professor of applied mathematics at Columbia University and the New York Times’s chief data scientist. He resides in New York City.

Matthew L. Jones

Professor of History
Princeton
Biography

Matthew L. Jones is a professor of history at Princeton University and has been a Guggenheim Fellow. He resides in Princeton.

Liz O'Sullivan

CEO
Vera
Biography

Prior to founding Vera, Liz spent 11 years in NYC startups on the business side of AI companies, managing data operations and all types of commercial functions along the way. Liz has advised many local, federal, and international bodies on approaches to regulating AI, including NYC council, Congress, and the United Nations. Most recently, Liz was appointed to be an inaugural member of the United States’ first National AI Advisory Committee, a federal body tasked with advising the US White House and Congress on how to foster AI adoption and regulate its risks.

Sponsors

In Person
–
Public Event

How Data Happened: Book Talk with Chris Wiggins and Matthew L. Jones

December 5, 2023
6:00 pm

Postponed: New Date TBA

RSVP

About

Join us for a book talk with authors Chris Wiggins and Matthew L. Jones, who will discuss their new book How Data Happened: A History from the Age of Reason to the Age of Algorithms, moderated by Liz O'Sullivan.

While data involves technology and math, it’s not a black box or monolith we have to obey. It’s an unstable, contingent power struggle among states, corporations, and people. The book is a must-read for data scientists and global citizens alike: it lays out the history and rules of this struggle so we can collectively create a future where data serves our highest goals of humanism and progress. Wiggins and Jones marshal the work of experts to reveal how algorithmic systems reproduce, via automated decisions, systemic inequalities.

The first 20 attendees will receive a copy of How Data Happened: A History from the Age of Reason to the Age of Algorithms

Wiggins is a data scientist who developed machine learning methods at Columbia and is chief data scientist at The New York Times. Jones is a historian of science. Their broad and deep expertise and complementary perspectives make them the ideal guides to explain the history of data and its technical, political, and ethical impact on our world.

When

December 5, 2023
6:00 pm

Where

Betaworks • 29 Little W 12th St. • New York, NY 10014
RSVP

Agenda

Speakers

Chris Wiggins

Chief Data Scientist
The New York Times
Biography

Chris Wiggins is an associate professor of applied mathematics at Columbia University and the New York Times’s chief data scientist. He resides in New York City.

Matthew L. Jones

Professor of History
Princeton
Biography

Matthew L. Jones is a professor of history at Princeton University and has been a Guggenheim Fellow. He resides in Princeton.

Liz O'Sullivan

CEO
Vera
Biography

Prior to founding Vera, Liz spent 11 years in NYC startups on the business side of AI companies, managing data operations and all types of commercial functions along the way. Liz has advised many local, federal, and international bodies on approaches to regulating AI, including NYC council, Congress, and the United Nations. Most recently, Liz was appointed to be an inaugural member of the United States’ first National AI Advisory Committee, a federal body tasked with advising the US White House and Congress on how to foster AI adoption and regulate its risks.

Sponsors

Proof of Full Vaccination Required

Betaworks requires all visitors to show proof of full vaccination to enter. No exceptions. Two ways that you can show proof:
  • Official vaccine card with at least 2 weeks having passed since the date of the last required dose (1 dose for J&J/AstraZeneca, 2 for Pfizer/Moderna)
  • An active digital pass such as the NY State Excelsior Pass or the CLEAR app

Dec

5

Public Event

In Person

How Data Happened: Book Talk with Chris Wiggins and Matthew L. Jones

Register for Event

RSVP

Join us for a book talk with authors Chris Wiggins and Matthew L. Jones, who will discuss their new book How Data Happened: A History from the Age of Reason to the Age of Algorithms, moderated by Liz O'Sullivan.

While data involves technology and math, it’s not a black box or monolith we have to obey. It’s an unstable, contingent power struggle among states, corporations, and people. The book is a must-read for data scientists and global citizens alike: it lays out the history and rules of this struggle so we can collectively create a future where data serves our highest goals of humanism and progress. Wiggins and Jones marshal the work of experts to reveal how algorithmic systems reproduce, via automated decisions, systemic inequalities.

The first 20 attendees will receive a copy of How Data Happened: A History from the Age of Reason to the Age of Algorithms

Wiggins is a data scientist who developed machine learning methods at Columbia and is chief data scientist at The New York Times. Jones is a historian of science. Their broad and deep expertise and complementary perspectives make them the ideal guides to explain the history of data and its technical, political, and ethical impact on our world.

when

Tuesday
December 5, 2023
6:00 pm

LoCATION

Betaworks • 29 Little W 12th St. • New York, NY 10014

agenda

Speakers

Chris Wiggins

Chief Data Scientist
The New York Times
Biography

Chris Wiggins is an associate professor of applied mathematics at Columbia University and the New York Times’s chief data scientist. He resides in New York City.

Matthew L. Jones

Professor of History
Princeton
Biography

Matthew L. Jones is a professor of history at Princeton University and has been a Guggenheim Fellow. He resides in Princeton.

Liz O'Sullivan

CEO
Vera
Biography

Prior to founding Vera, Liz spent 11 years in NYC startups on the business side of AI companies, managing data operations and all types of commercial functions along the way. Liz has advised many local, federal, and international bodies on approaches to regulating AI, including NYC council, Congress, and the United Nations. Most recently, Liz was appointed to be an inaugural member of the United States’ first National AI Advisory Committee, a federal body tasked with advising the US White House and Congress on how to foster AI adoption and regulate its risks.

Sponsors

12/5/2023

Betaworks

How Data Happened: Book Talk with Chris Wiggins and Matthew L. Jones

Presented by

No items found.

Join us for a book talk with authors Chris Wiggins and Matthew L. Jones, who will discuss their new book How Data Happened: A History from the Age of Reason to the Age of Algorithms, moderated by Liz O'Sullivan.

While data involves technology and math, it’s not a black box or monolith we have to obey. It’s an unstable, contingent power struggle among states, corporations, and people. The book is a must-read for data scientists and global citizens alike: it lays out the history and rules of this struggle so we can collectively create a future where data serves our highest goals of humanism and progress. Wiggins and Jones marshal the work of experts to reveal how algorithmic systems reproduce, via automated decisions, systemic inequalities.

The first 20 attendees will receive a copy of How Data Happened: A History from the Age of Reason to the Age of Algorithms

Wiggins is a data scientist who developed machine learning methods at Columbia and is chief data scientist at The New York Times. Jones is a historian of science. Their broad and deep expertise and complementary perspectives make them the ideal guides to explain the history of data and its technical, political, and ethical impact on our world.

speakers

Chris Wiggins

Chief Data Scientist
The New York Times
Biography

Chris Wiggins is an associate professor of applied mathematics at Columbia University and the New York Times’s chief data scientist. He resides in New York City.

Matthew L. Jones

Professor of History
Princeton
Biography

Matthew L. Jones is a professor of history at Princeton University and has been a Guggenheim Fellow. He resides in Princeton.

Liz O'Sullivan

CEO
Vera
Biography

Prior to founding Vera, Liz spent 11 years in NYC startups on the business side of AI companies, managing data operations and all types of commercial functions along the way. Liz has advised many local, federal, and international bodies on approaches to regulating AI, including NYC council, Congress, and the United Nations. Most recently, Liz was appointed to be an inaugural member of the United States’ first National AI Advisory Committee, a federal body tasked with advising the US White House and Congress on how to foster AI adoption and regulate its risks.

Schedule

No items found.

WHEN

Tuesday, December 5, 2023
6:00 pm

WHERE

Betaworks
29 Little West 12th Street
New York, NY 10014

Agenda

Tools
For
Thinking

How New Technologies are Changing How We Create, Share, and Build Knowledge

When

December 5, 2023
6:00 pm

Where

Betaworks • 29 Little W 12th St. • New York, NY 10014
or livestream
Proof of Full Vaccination Required

RENDER is Over, but Camp is just beginning

We had some great speakers and participants turn out for Render, and we all got to participate in very interesting conversations. You can find recordings of all of our sessions below. If you're working on a Tool for Thinking and want to participate in our upcoming accelerator program, you can learn more here.

Building Bicycles for the Mind

Join us for a book talk with authors Chris Wiggins and Matthew L. Jones, who will discuss their new book How Data Happened: A History from the Age of Reason to the Age of Algorithms, moderated by Liz O'Sullivan.

While data involves technology and math, it’s not a black box or monolith we have to obey. It’s an unstable, contingent power struggle among states, corporations, and people. The book is a must-read for data scientists and global citizens alike: it lays out the history and rules of this struggle so we can collectively create a future where data serves our highest goals of humanism and progress. Wiggins and Jones marshal the work of experts to reveal how algorithmic systems reproduce, via automated decisions, systemic inequalities.

The first 20 attendees will receive a copy of How Data Happened: A History from the Age of Reason to the Age of Algorithms

Wiggins is a data scientist who developed machine learning methods at Columbia and is chief data scientist at The New York Times. Jones is a historian of science. Their broad and deep expertise and complementary perspectives make them the ideal guides to explain the history of data and its technical, political, and ethical impact on our world.

Speakers

Howard

Rheingold

Author
Tools for Thought
@hrheingold

Chris

Wiggins

Chief Data Scientist
The New York Times
@chrishwiggins

Matthew L.

Jones

Professor of History
Princeton
@nescioquid

Liz

O'Sullivan

CEO
Vera

Schedule

11:30 AM
Doors Open
12:00 PM
Welcome
with MC
12:10 PM – 12:20 PM
How Do We Define Tools for Thinking and Why Do They Matter?
Join Jerry Michalski and John Borthwick as they talk about their interest in tools for thinking, and what excites them the most about the future of the category.
12:20 PM – 12:50 PM
Inflection Points for Tools for Thinking
What are the key inflection points that will supercharge Tools for Thinking in the near future? How will new technologies, user metaphors, and funding models change how people build these tools? John Borthwick will be discussing how the landscape is changing with the co-founders of Readwise, Daniel Doyon & Tristan Homsi.
12:50 PM – 1:00 PM
Q+A
1:00 PM – 1:15 PM
Demo: Protocol Design for Tools for Thinking
Gordon Brander will be presenting a brief demo on Subconscious and the Noosphere, products he and his team are working on to allow Tools for Thinking to become interoperable and better connected.
1:15 PM – 2:00 PM
Lunch and Networking
2:00 PM – 2:45 PM
The History and Future of Software as Tools for Thinking
Some of the earliest examples of software explored by pioneers like Doug Engelbart, JCR Licklider, Alan Turing, and others were at their core technologies that help magnify, inspect, and spread our ideas. Jerry Michalski will be sitting down (virtually) with Howard Rheingold, author of Tools for Thought, to explore the history and future of "mind-amplifying technology".
2:45 PM – 3:00 PM
Q+A
3:00 PM – 4:00 PM
Tools for Thinking Product Demos
We’ll hear from builders and thinkers deep in the space and get to take a look at what they’re working on. We’ll be checking out Plexus, Re:Collect, Jerry’s Brain, Subconscious and more. 
4:15 PM – 4:45 PM
Leveraging AI and ML in Building New Tools for Thinking
Alice Albrecht and Linus Lee will be sitting down with Chris Pedregal to discuss their work in leveraging AI and Machine Learning for creating new kinds of tools for thinking.
4:45 PM – 5:00 PM
Q+A
5:00 PM – 5:30 PM
Idea Dimensionality and Representing Semantic Meaning
How do ideas - and the human brains that make and hold them - interact?  Get prepared for meta! Esther Dyson and Jerry Michalski, will discuss the idea of how people work together to shape, compare, intertwine and ultimately produce multi-faceted ideas and multi-dimensional idea spaces.  As David Waltz (Thinking Machines) once said, “Words are not in themselves carriers of meaning, but merely pointers to shared understanding.” Watch and lob questions as the two of them try to build and share the idea of how better ideas can be developed through collaboration.
5:30 PM – 5:45 PM
Q+A
5:45 PM – 7:00 PM
Closing and Happy Hour

Proof of Full Vaccination Required

Betaworks requires all visitors to show proof of full vaccination to enter. No exceptions. Two ways that you can show proof:
  • Official vaccine card with at least 2 weeks having passed since the date of the last required dose (1 dose for J&J/AstraZeneca, 2 for Pfizer/Moderna)
  • An active digital pass such as the NY State Excelsior Pass or the CLEAR app
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