From 1fe0e5c79c3cbc4b13083116980e62b449866100 Mon Sep 17 00:00:00 2001
From: adamhrv <adam@ahprojects.com>
Date: Tue, 12 Mar 2019 01:18:12 +0100
Subject: add credits, 2col about

---
 site/content/pages/about/credits.md                | 43 +++++++++++++++++++
 site/content/pages/about/disclaimer.md             |  1 +
 site/content/pages/about/index.md                  | 48 +++++++++++-----------
 site/content/pages/about/press.md                  |  1 +
 site/content/pages/about/privacy.md                |  1 +
 site/content/pages/about/terms.md                  |  1 +
 .../pages/research/00_introduction/index.md        | 16 ++++++++
 7 files changed, 86 insertions(+), 25 deletions(-)
 create mode 100644 site/content/pages/about/credits.md

(limited to 'site/content')

diff --git a/site/content/pages/about/credits.md b/site/content/pages/about/credits.md
new file mode 100644
index 00000000..3ad962df
--- /dev/null
+++ b/site/content/pages/about/credits.md
@@ -0,0 +1,43 @@
+------------
+
+status: published
+title: MegaPixels Press and News
+desc: MegaPixels Press and News
+slug: press
+cssclass: about
+published: 2018-12-04
+updated: 2018-12-04
+authors: Adam Harvey
+ 
+------------
+ 
+# Credits
+
+<section class="about-menu">
+<ul>
+    <li><a href="/about/">About</a></li>
+    <li><a href="/about/press/">Press</a></li>
+    <li><a class="current" href="/about/credits/">Credits</a></li>
+    <li><a href="/about/disclaimer/">Disclaimer</a></li>
+    <li><a href="/about/terms/">Terms and Conditions</a></li>
+    <li><a href="/about/privacy/">Privacy Policy</a></li>
+</ul>
+</section>
+
+
+#### Team
+
+- Research, concept: Adam Harvey
+- Site development, visualizations: Jules LaPlace
+- Assistant researcher: Berit Gilma
+- Produced in Partnership with Mozilla
+
+#### Code
+
+- This site uses D3 and C2 for visuzations. 
+- Add more here
+
+#### Data
+
+- link to github
+- how it was gathered
\ No newline at end of file
diff --git a/site/content/pages/about/disclaimer.md b/site/content/pages/about/disclaimer.md
index 314675ee..f82a09a0 100644
--- a/site/content/pages/about/disclaimer.md
+++ b/site/content/pages/about/disclaimer.md
@@ -17,6 +17,7 @@ authors: Adam Harvey
 <ul>
 <li><a href="/about/">About</a></li>
 <li><a href="/about/press/">Press</a></li>
+<li><a href="/about/credits/">Credits</a></li>
 <li><a class="current" href="/about/disclaimer/">Disclaimer</a></li>
 <li><a href="/about/terms/">Terms and Conditions</a></li>
 <li><a href="/about/privacy/">Privacy Policy</a></li>
diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md
index 5738d5ce..b1b7a80f 100644
--- a/site/content/pages/about/index.md
+++ b/site/content/pages/about/index.md
@@ -17,6 +17,7 @@ authors: Adam Harvey
 <ul>
 <li><a class="current" href="/about/">About</a></li>
 <li><a href="/about/press/">Press</a></li>
+<li><a href="/about/credits/">Credits</a></li>
 <li><a href="/about/disclaimer/">Disclaimer</a></li>
 <li><a href="/about/terms/">Terms and Conditions</a></li>
 <li><a href="/about/privacy/">Privacy Policy</a></li>
@@ -25,28 +26,25 @@ authors: Adam Harvey
 
 (PAGE UNDER DEVELOPMENT)
 
-<p><div style="font-size:20px;line-height:36px">Ever since government agencies began developing face recognition in the early 1960's, datasets of face images have always been central to the development and evaluation face recognition technology. Today, these datasets no longer originate in labs, but instead from family photo albums posted on photo sharing sites, surveillance camera footage from college campuses, search engine queries for celebrities, cafe livestreams, or <a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">videos on YouTube</a>. </div></p>
-
-While many of these datasets include public figures such as politicians, athletes, and actors; they also include many non-public figures including digital activists, students, pedestrians, and people's semi-private shared photo albums. Some images are used with creative commons licenses, yet others were taken in unconstrained scenarios without awareness or consent. At first glance it appears many of the datasets were created for seemingly harmless academic research, but when examined further it becomes clear that they're also used by foreign defense agencies.
-
-During the last year, hundreds of these facial analysis datasets created "in the wild" have been collected to understand how they contribute to a global supply chain of biometric data that is powering the global facial recognition industry.
-
-MegaPixels is art and research by <a href="https://ahprojects.com">Adam Harvey</a> about publicly available facial recognition datasets that aims to unravel their histories, futures, geographies, and context. Throughout 2019 this site, coded and designed by Jules LaPlace, will publish research reports, visualizations, downloadable statistics, and interactive tools for searching the datasets.
-
-The MegaPixels website is produced in partnership with [Mozilla](https://mozilla.org) who provided funding to research the datasets, build the site, and develop tools to help you understand the role these datasets have played in creating biometric surveillance technologies. 
-
-
-### MegaPixels Team
-
-![sideimage:Adam Harvey](assets/adam-harvey-3d.jpg) **Adam Harvey** is Berlin-based American artist and researcher. His previous projects ([CV Dazzle](https://ahprojects.com/cvdazzle), [Stealth Wear](https://ahprojects.com/stealth-wear), and [SkyLift](https://ahprojects.com/skylift)) explore the potential for countersurveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups), the recipient of 2 PrototypeFund awards, and is a researcher in residence at Karlsruhe HfG. <br>[ahprojects.com](https://ahprojects.com)
-
-![sideimage:Jules LaPlace](assets/jules-laplace-3d.jpg)**Jules LaPlace** is an American creative technologist also based in Berlin. He was previously the CTO of a digital agency in NYC and now also works at VFRAME, developing computer vision for human rights groups. Jules also builds creative software for artists and musicians.<br>[asdf.us](https://asdf.us)
-
-
-### Additional Researchers
-
-Additional research by Berit Gilma.
-
-### Project History
-
-The MegaPixels site is based on an earlier [installation](https://ahprojects.com/megapixels-glassroom) (also supported by Mozilla) at the [Tactical Tech Glassroom](https://theglassroom.org/) in London in 2017; and a commission from the Elevate arts festival curated by Berit Gilma about pedestrian recognition datasets in 2018, and research during [CV Dazzle](https://cvdazzle.com) from 2010-2015. Through the many prototypes, conversations, pitches, PDFs, and false starts this project has endured during the last 5 years, it eventually evolved into something much different than originally imagined. Now, as datasets become increasingly influential in shaping the computational future, it's clear that they must be critically analyzed to understand the biases, shortcomings, funding sources, and contributions to the surveillance industry. However, it's misguided to only criticize these datasets for their flaws without also praising their contribution to society. Without publicly available facial analysis datasets there would be less public discourse, less open-source software, and less peer-reviewed research. Public datasets can indeed become a vital public good for the information economy but as this projects aims to illustrate, many ethical questions arise about consent, intellectual property, surveillance, and privacy.
\ No newline at end of file
+<p><div style="font-size:20px;line-height:36px">MegaPixels is art and research by <a href="https://ahprojects.com">Adam Harvey</a> about facial recognition datasets that aims to unravel their histories, futures, geographies, and meanings. Throughout 2019 this site, coded by Jules LaPlace, will publish research reports, visualizations, raw data, and interactive tools to explore how publicly available facial recognition datasets contribute to a global supply chain of biometric data that powers the global facial recognition industry.</div></p>
+
+The MegaPixels website is produced in partnership with [Mozilla](https://mozilla.org).
+
+<div class="flex-container">
+    <div class="team-member">
+        <img src="https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/adam-harvey-3d.jpg" />
+        <h3>Adam Harvey</h3>
+        <p>is Berlin-based American artist and researcher. His previous projects (CV Dazzle, Stealth Wear, and SkyLift) explore the potential for countersurveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups), the recipient of 2 PrototypeFund grants, and is a researcher in residence at Karlsruhe HfG. 
+        <br>
+        ahprojects.com
+        </p>
+    </div>
+    <div class="team-member">
+        <img src="https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/jules-laplace-3d.jpg" />
+        <h3>Jules LaPlace</h3>
+        <p>is an American creative technologist also based in Berlin. He was previously the CTO of a digital agency in NYC and now also works at VFRAME, developing computer vision for human rights groups. Jules also builds creative software for artists and musicians.
+        <br>
+        https://asdf.us
+        </p>
+    </div>
+</div>
diff --git a/site/content/pages/about/press.md b/site/content/pages/about/press.md
index 759400e8..47e1af52 100644
--- a/site/content/pages/about/press.md
+++ b/site/content/pages/about/press.md
@@ -17,6 +17,7 @@ authors: Adam Harvey
 <ul>
 <li><a href="/about/">About</a></li>
 <li><a class="current" href="/about/press/">Press</a></li>
+<li><a href="/about/credits/">Credits</a></li>
 <li><a href="/about/disclaimer/">Disclaimer</a></li>
 <li><a href="/about/terms/">Terms and Conditions</a></li>
 <li><a href="/about/privacy/">Privacy Policy</a></li>
diff --git a/site/content/pages/about/privacy.md b/site/content/pages/about/privacy.md
index b42ccb21..e36daf2a 100644
--- a/site/content/pages/about/privacy.md
+++ b/site/content/pages/about/privacy.md
@@ -17,6 +17,7 @@ authors: Adam Harvey
 <ul>
 <li><a href="/about/">About</a></li>
 <li><a href="/about/press/">Press</a></li>
+<li><a href="/about/credits/">Credits</a></li>
 <li><a href="/about/disclaimer/">Disclaimer</a></li>
 <li><a href="/about/terms/">Terms and Conditions</a></li>
 <li><a class="current" href="/about/privacy/">Privacy Policy</a></li>
diff --git a/site/content/pages/about/terms.md b/site/content/pages/about/terms.md
index 40653292..7ae6dac7 100644
--- a/site/content/pages/about/terms.md
+++ b/site/content/pages/about/terms.md
@@ -18,6 +18,7 @@ authors: Adam Harvey
 <ul>
 <li><a href="/about/">About</a></li>
 <li><a href="/about/press/">Press</a></li>
+<li><a href="/about/credits/">Credits</a></li>
 <li><a href="/about/disclaimer/">Disclaimer</a></li>
 <li><a class="current" href="/about/terms/">Terms and Conditions</a></li>
 <li><a href="/about/privacy/">Privacy Policy</a></li>
diff --git a/site/content/pages/research/00_introduction/index.md b/site/content/pages/research/00_introduction/index.md
index 9555ca9b..bcb3d57c 100644
--- a/site/content/pages/research/00_introduction/index.md
+++ b/site/content/pages/research/00_introduction/index.md
@@ -16,6 +16,22 @@ authors: Megapixels
 + Author: Adam Harvey
 
 
+
+### Motivation
+
+Ever since government agencies began developing face recognition in the early 1960's, datasets of face images have always been central to developing and validating face recognition technologies. Today, these datasets no longer originate in labs, but instead from family photo albums posted on photo sharing sites, surveillance camera footage from college campuses, search engine queries for celebrities, cafe livestreams, or <a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">videos on YouTube</a>.
+
+During the last year, hundreds of these facial analysis datasets created "in the wild" have been collected to understand how they contribute to a global supply chain of biometric data that is powering the global facial recognition industry.
+
+While many of these datasets include public figures such as politicians, athletes, and actors; they also include many non-public figures: digital activists, students, pedestrians, and semi-private shared photo albums are all considered "in the wild" and fair game for research projects. Some images are used with creative commons licenses, yet others were taken in unconstrained scenarios without awareness or consent. At first glance it appears many of the datasets were created for seemingly harmless academic research, but when examined further it becomes clear that they're also used by foreign defense agencies.
+
+The MegaPixels site is based on an earlier [installation](https://ahprojects.com/megapixels-glassroom) (also supported by Mozilla) at the [Tactical Tech Glassroom](https://theglassroom.org/) in London in 2017; and a commission from the Elevate arts festival curated by Berit Gilma about pedestrian recognition datasets in 2018, and research during [CV Dazzle](https://cvdazzle.com) from 2010-2015. Through the many prototypes, conversations, pitches, PDFs, and false starts this project has endured during the last 5 years, it eventually evolved into something much different than originally imagined. Now, as datasets become increasingly influential in shaping the computational future, it's clear that they must be critically analyzed to understand the biases, shortcomings, funding sources, and contributions to the surveillance industry. However, it's misguided to only criticize these datasets for their flaws without also praising their contribution to society. Without publicly available facial analysis datasets there would be less public discourse, less open-source software, and less peer-reviewed research. Public datasets can indeed become a vital public good for the information economy but as this projects aims to illustrate, many ethical questions arise about consent, intellectual property, surveillance, and privacy.
+
+<!-- who provided funding to research, development this project understand the role these datasets have played in creating biometric surveillance technologies. -->
+
+
+
+
 Ever since the first computational facial recognition research project by the CIA in the early 1960s, data has always played a vital role in the development of our biometric future. Without facial recognition datasets there would be no facial recognition. Datasets are an indispensable part of any artificial intelligence system because, as Geoffrey Hinton points out: 
 > Our relationship to computers has changed. Instead of programming them, we now show them and they figure it out. - [Geoffrey Hinton](https://www.youtube.com/watch?v=-eyhCTvrEtE)
 
-- 
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