5 files changed, 56 insertions, 27 deletions
diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md
index 90072b37..f07a79ee 100644
--- a/site/content/pages/about/index.md
+++ b/site/content/pages/about/index.md
@@ -35,8 +35,13 @@ MegaPixels is an independent project, designed as a public resource for educator
 A dataset of verified geocoded citations and dataset statistics will be published in Fall 2019 along with a research paper as part of a research fellowship for [KIM (Critical Artificial Intelligence) Karlsruhe HfG](http://kim.hfg-karlsruhe.de/).
 
 
+#### Team
 
-### Selected News and Exhibitions
+- [Adam Harvey](https://ahprojects.com): Concept, research and analysis, design, computer vision
+- [Jules LaPlace](https://asdf.us): Information and systems architecture, data management, citation geocoding, web applications
+
+
+### News and Publications
 
 - July 2019: New York Times writes about MegaPixels and how "[Facial Recognition Tech Is Growing Stronger, Thanks to Your Face](https://www.nytimes.com/2019/07/13/technology/databases-faces-facial-recognition-technology.html)" 
 - June 2019 - 2020: MegaPixels installation at Ars Electronica Center (AT) exhibition ["Compass - Navigating the Future"](https://ars.electronica.art/center/en/megapixels) 
@@ -46,18 +51,13 @@ A dataset of verified geocoded citations and dataset statistics will be publishe
 Read more [news](/about/news)
 
 
-##### Team
-
-- Adam Harvey: Concept, research and analysis, design, computer vision
-- Jules LaPlace: Information and systems architecture, data management, web applications
-
-##### Contributing Researchers
+#### Contributing Researchers
 
 - Beth (aka Ms. Celeb)
 - Berit Gilma
 - Mathana Stender
 
-##### Code and Libraries
+#### Code and Libraries
 
 - [Semantic Scholar](https://semanticscholar.org) for citation aggregation
 - Leaflet.js for maps
@@ -66,7 +66,7 @@ Read more [news](/about/news)
 - PDFMiner.Six and Pandas for research paper analysis
 
 
-##### Attribution
+#### Attribution
 
 If you use MegaPixels or any data derived from it for your work, please cite our original work as follows:
 
diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
index 6d2279cb..a61c007c 100644
--- a/site/content/pages/datasets/brainwash/index.md
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -4,7 +4,7 @@ status: published
 title: Brainwash Dataset
 desc: Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco
 subdesc: It includes 11,917 images of "everyday life of a busy downtown cafe" and is used for training face and head detection algorithms
-caption: One of 11,917 images from the Brainwash dataset captured from the Brainwash Cafe in San Francisco
+caption: One of the 11,917 images in the Brainwash dataset captured from the Brainwash Cafe in San Francisco
 slug: brainwash
 cssclass: dataset
 image: assets/background.jpg
@@ -17,7 +17,7 @@ authors: Adam Harvey
 
 # Brainwash Dataset
 
-*Update: In response to the publication of this report, the Brainwash dataset has been "removed from access at the request of the depositor."*
+Update: In response to the publication of this report, the Brainwash dataset has been "removed from access at the request of the depositor."
 
 ### sidebar
 
diff --git a/site/content/pages/datasets/index.md b/site/content/pages/datasets/index.md
index 54912242..f3d5fea0 100644
--- a/site/content/pages/datasets/index.md
+++ b/site/content/pages/datasets/index.md
@@ -16,4 +16,4 @@ sync: false
 
 Explore face and person recognition datasets contributing to the growing crisis of biometric surveillance technologies. This first group of 5 datasets focuses on image usage connected to foreign surveillance and defense organizations.
 
-In response to the analyses below, the [Brainwash](https://purl.stanford.edu/sx925dc9385), [Duke MTMC](http://vision.cs.duke.edu/DukeMTMC/), and [MS Celeb](http://msceleb.org/) datasets have been taken down by their authors. The [UCCS](https://vast.uccs.edu/Opensetface/) dataset was temporarily deactivated due to metadata exposure. Read more [news](/about/news). A more complete list of datasets and research will be published in September 2019. These 5 are only a preview.
+In response to the analyses below, the [Brainwash](/datasets/brainwash), [Duke MTMC](/datasets/duke_mtmc), and [MS Celeb](/datasets/msceleb/) datasets have been taken down by their authors. The [UCCS](/dataests/uccs/) dataset was temporarily deactivated due to metadata exposure. Read more [news](/about/news). A more complete list of datasets and research will be published in September 2019. These 5 are only a preview.
diff --git a/site/content/pages/datasets/megaface/index.md b/site/content/pages/datasets/megaface/index.md
index 2009e70e..9c282cb2 100644
--- a/site/content/pages/datasets/megaface/index.md
+++ b/site/content/pages/datasets/megaface/index.md
@@ -7,6 +7,7 @@ subdesc: MegaFace contains 670K identities and 4.7M images
 caption: Example images from the MegaFace dataset
 slug: megaface
 cssclass: dataset
+caption: Images from the MegaFace face recognition training and benchmarking dataset
 image: assets/background.jpg
 year: 2016
 published: 2019-4-18
@@ -15,12 +16,44 @@ authors: Adam Harvey
 
 ------------
 
-## MegaFace
+# MegaFace
 
 ### sidebar
 ### end sidebar
 
-MegaFace is a dataset...
+MegaFace is a dataset of 4,700,000 face images of 672,000 individuals used for developing face recognition technologies. All images were downloaded from Flickr.
+
+#### How was it made
+
+MegaFace was developed by the University of Washington for the purpose of trainng, validating, and benchmarking face recognition algorithms.
+
+The images are from Flickr, but are they all from YFCC100M?
+
+#### Who used it
+
+MegaFace was used for research projects associated with SenseTime, Google, Mitsubishi, Vision Semantics Ltd, Microsoft.
+
+#### Subsets
+
+MegaFace was also used for MegaFace Asian, and MegaAge, and glasses.
+
+#### A sample of the research projects
+
+Used for face recognition
+
+screenshots of papers
+
+#### Visuals
+
+- facial landmarks
+- bounding boxes
+- animation of all the titles of the paper
+- 
+
+###
+
+
+
 
 {% include 'dashboard.html' %}
 
diff --git a/site/content/pages/research/munich_security_conference/index.md b/site/content/pages/research/munich_security_conference/index.md
index 365ee404..75392dc3 100644
--- a/site/content/pages/research/munich_security_conference/index.md
+++ b/site/content/pages/research/munich_security_conference/index.md
@@ -5,7 +5,8 @@ title: Transnational Flows of Face Recognition Image Training Data
 slug: munich-security-conference
 desc: Transnational Flows of Face Recognition Image Training Data
 subdesc: Where does face data originate and who's using it?
-cssclass: dataset
+caption: An image from the MegaFace face recognition training dataset taken from the U.S. Embassy of Madrid Flickr account
+cssclass: blog
 image: assets/background.jpg
 published: 2019-6-28
 updated: 2019-6-29
@@ -13,6 +14,7 @@ authors: Adam Harvey
 
 ------------
 
+# Transnational Flows of Face Recognition Image Training Data
 
 *A case study on publicly available facial recognition datasets for the Munich Security Conference's Transnational Security Report*
 
@@ -33,19 +35,13 @@ Our [earlier research](https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d
 
 In this new research for the [Munich Security Conference's Transnational Security Report](https://tsr.securityconference.de) we provide summary statistics about the origins and endpoints of facial recognition information supply chains. To make it more personal, we gathered additional data on the number of public photos from embassies that are currently being used in facial recognition training datasets.
 
-<div style="display:inline;" class="columns columns-1"><div class="column"><div style="background:#202020;border-radius:6px;padding:20px;width:100%">
 
-<h4>Key Findings</h4>
-
-<ul>
-   <li>24 million non-cooperative images were used in facial recognition research projects</li>
-   <li>Most data originated from US-based search engines and Flickr, but most research citations found in China</li>
-   <li>Over 6,000 of the images were from US, British, Italian, and French embassies (mostly US embassies)</li>
-   <li>Images were used for commercial research by Google (US), Microsoft (US), SenseTime (China), Tencent (China), Mitsubishi (Japan), ExpertSystems (Italy), Siren Solution (Ireland), and Paradigma Digital (Spain); and military research by National University of Defense Technology (China)</li>
-</ul>
-
-</div></div></div>
+### Key Findings
 
+- 24 million non-cooperative images were used in facial recognition research prects
+- Most data originated from US-based search engines and Flickr, but most research citations found in China
+- Over 6,000 of the images were from US, British, Italian, and French embassies (mostly US embassies)
+- Images were used for commercial research by Google (US), Microsoft (US), SenseTime (China), Tencent (China), Mitsubishi (Japan), ExpertSystems (Italy), Siren Solution (Ireland), and Paradigma Digital (Spain); and military research by National University of Defense Technology (China)
 
 ### 24 Million Photos
 
@@ -74,7 +70,7 @@ OtherLabel: Other
 
 === end columns
 
-![](assets/7118211377.jpg)
+![caption: A photo from the U.S Embassy in Tokyo found in a facial recognition training dataset](assets/7118211377.jpg)
 
 ### 8,428 Embassy Photos Found in Facial Recognition Datasets