18 files changed, 118 insertions, 87 deletions
diff --git a/site/assets/css/applets.css b/site/assets/css/applets.css
index 7fac3e27..e48af7b1 100644
--- a/site/assets/css/applets.css
+++ b/site/assets/css/applets.css
@@ -28,8 +28,9 @@
 }
 .q {
   width: 100%;
-  padding: 5px;
-  font-size: 14pt;
+  padding: 8px 12px;
+  font-size: 13pt;
+  color:#333;
 }
 .timing {
   font-size: 9pt;
diff --git a/site/assets/css/css.css b/site/assets/css/css.css
index 13c57db4..e5615c67 100644
--- a/site/assets/css/css.css
+++ b/site/assets/css/css.css
@@ -43,7 +43,8 @@ header .slogan {
   display: flex;
   flex-direction: row;
   align-items: center;
-  padding-left: 56px;
+  /*padding-left: 56px;*/
+  padding-left: 36px;
   text-decoration: none;
 }
 header .logo {
@@ -65,12 +66,14 @@ header .site_name {
   letter-spacing: 3px;
 }
 header .splash{
-  font-size: 15px;
+  font-size: 22px;
   font-weight: 400;
-  color: #888;
-  padding-left: 8px;
+  color: #eee;
+  /*padding-left: 8px;*/
   opacity: 0;
   transition: 0.3s opacity cubic-bezier(0,0,1,1);
+  margin-left:18px;
+  /*line-height: 22px;*/
 }
 .scrolled header .splash {
   opacity: 1;
diff --git a/site/assets/js/app/prototypes.js b/site/assets/js/app/prototypes.js
new file mode 100644
index 00000000..a7da2e46
--- /dev/null
+++ b/site/assets/js/app/prototypes.js
@@ -0,0 +1 @@
+prototypes.js
+\ No newline at end of file
diff --git a/site/content/pages/about/faq.md b/site/content/pages/about/faq.md
deleted file mode 100644
index 8b780262..00000000
--- a/site/content/pages/about/faq.md
+++ /dev/null
@@ -1,26 +0,0 @@
-------------
-
-status: published
-title: MegaPixels Press and News
-desc: MegaPixels Press and News
-slug: faqs
-cssclass: about
-published: 2018-12-04
-updated: 2018-12-04
-authors: Adam Harvey
- 
-------------
- 
-# FAQs
-
-<section class="about-menu">
-<ul>
-<li><a href="/about/">About</a></li>
-<li><a class="current" href="/about/faq/">FAQs</a></li>
-<li><a href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a href="/about/privacy/">Privacy</a></li>
-</ul>
-</section>
-
-[ page under development ]
diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md
index 5fc147c9..880ca356 100644
--- a/site/content/pages/about/index.md
+++ b/site/content/pages/about/index.md
@@ -16,10 +16,8 @@ authors: Adam Harvey
 <section class="about-menu">
 <ul>
 <li><a class="current" href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
 <li><a href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a href="/about/privacy/">Privacy</a></li>
+<li><a href="/about/legal/">Legal / Privacy</a></li>
 </ul>
 </section>
 
@@ -42,9 +40,9 @@ The MegaPixels site is made possible with support from <a href="http://mozilla.o
     </div>
 </div>
 
-MegaPixels.cc is an independent research project about publicly available face recognition datasets. This website is based, in part, on earlier installations and research projects about facial recognition datasets in 2016-2018, which focused particularly on the MegaFace dataset. Since then it has evolved into a large-scale survey of publicly-available face and person analysis datasets, covering their usage, geographies, and ethics.
+MegaPixels.cc is a research project about publicly available face recognition datasets. This website is based, in part, on an [earlier installations](https://ahprojects.com/megapixels-glassroom/) and research about facial recognition datasets. Since then it has evolved into a large-scale survey of publicly-available face and person analysis datasets. Initially this site was planned as a facial recognition tool to search the datasets. After building several prototypes using over 1 million face images from these datasets, it became clear that facial recognition was mereley a face similar search. The results were not accurate enough to align with goals of this website: to promote responsible use of data and expose existing and past ethical breaches.
 
-An academic report and presentation on the findings is forthcoming. This site is published to make the research more accessible to a wider audience and to include visualizations and interactive features not possible in PDF publications. Continued research on MegaPixels is supported by a 1 year Researcher-in-Residence grant from Karlsruhe HfG.
+An academic report and presentation on the findings of this project is forthcoming. Throughout 2019, this site will be updated with more datasets and research reports on the general themes of remote biometric analysis and media collected "in the wild". The continued research on MegaPixels is supported by a 1 year Researcher-in-Residence grant from Karlsruhe HfG (2019-2020).
 
 When possible, and once thoroughly verified, data generated for MegaPixels will be made available for download on [github.com/adamhrv/megapixels](https://github.com/adamhrv/megapixels)
 
@@ -52,16 +50,16 @@ When possible, and once thoroughly verified, data generated for MegaPixels will
 
 #### Team
 
-- Adam Harvey: Concept, research, design, computer vision
-- Jules LaPlace: Information and systems architecture, data retrieval, web applications
+- Adam Harvey: Concept, research and analysis, design, computer vision
+- Jules LaPlace: Information and systems architecture, data management, web applications
 
 ===========
 
 #### Contributing Researchers
 
-- Berit Gilma: Dataset statistics and discovery
-- Beth (aka Ms. Celeb): Dataset usage verification and research
-- Mathana Stender: Commercial usage verification and research on LFW
+- Berit Gilma: Dataset statistics
+- Beth (aka Ms. Celeb): Dataset usage verification
+- Mathana Stender: Commercial usage verification
 
 ===========
 
@@ -75,4 +73,5 @@ When possible, and once thoroughly verified, data generated for MegaPixels will
 
 === end columns
 
-Please direct questions, comments, or feedback to [mastodon.social/@adamhrv](https://mastodon.social/@adamhrv)
-\ No newline at end of file
+Please direct questions, comments, or feedback to [mastodon.social/@adamhrv](https://mastodon.social/@adamhrv)
+
diff --git a/site/content/pages/about/legal.md b/site/content/pages/about/legal.md
index 089f32d7..c42f8ffb 100644
--- a/site/content/pages/about/legal.md
+++ b/site/content/pages/about/legal.md
@@ -16,10 +16,8 @@ authors: Adam Harvey
 <section class="about-menu">
 <ul>
 <li><a href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
 <li><a href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a class="current" href="/about/privacy/">Privacy</a></li>
+<li><a class="current" href="/about/legal/">Legal / Privacy</a></li>
 </ul>
 </section>
 
diff --git a/site/content/pages/about/press.md b/site/content/pages/about/press.md
index a0780d64..9f3874ce 100644
--- a/site/content/pages/about/press.md
+++ b/site/content/pages/about/press.md
@@ -16,13 +16,9 @@ authors: Adam Harvey
 <section class="about-menu">
 <ul>
 <li><a href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
 <li><a class="current" href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a href="/about/privacy/">Privacy</a></li>
+<li><a href="/about/legal/">Legal / Privacy</a></li>
 </ul>
 </section>
 
-(TEMPORARY PAGE)
-
 - Aug 22, 2018: "Transgender YouTubers had their videos grabbed to train facial recognition software" by James Vincent <https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset>
 \ No newline at end of file
diff --git a/site/content/pages/datasets/oxford_town_centre/assets/oxford_town_centre_cctv.jpg b/site/content/pages/datasets/oxford_town_centre/assets/oxford_town_centre_cctv.jpg
new file mode 100755
index 00000000..e5bbfaae
--- /dev/null
+++ b/site/content/pages/datasets/oxford_town_centre/assets/oxford_town_centre_cctv.jpg
diff --git a/site/content/pages/datasets/oxford_town_centre/assets/surveillance_camera.jpg b/site/content/pages/datasets/oxford_town_centre/assets/surveillance_camera.jpg
deleted file mode 100644
index 72bdcbf9..00000000
--- a/site/content/pages/datasets/oxford_town_centre/assets/surveillance_camera.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/oxford_town_centre/index.md b/site/content/pages/datasets/oxford_town_centre/index.md
index b3bce9af..d2d37230 100644
--- a/site/content/pages/datasets/oxford_town_centre/index.md
+++ b/site/content/pages/datasets/oxford_town_centre/index.md
@@ -21,21 +21,28 @@ authors: Adam Harvey
 
 [ page under development ]
 
-The Oxford Town Centre dataset is a video of pedestrians in a busy downtown area in Oxford used for creating surveillance algorithms with "potential applications in activity recognition and remote biometric analysis" or non-cooperative face recognition. [^ben_benfold_orig]
+The Oxford Town Centre dataset is a video of pedestrians in a busy downtown area in Oxford used for creating surveillance algorithms with potential applications in activity recognition, remote biometric analysis, and non-cooperative face recognition. [^ben_benfold_orig]
 
-Based on observations of the dataset video and Google Street images, the source of the footage has been geolocated to a public CCTV camera at the intersection of Cornmarket and Market St. Oxford, England ([map](https://www.google.com/maps/@51.7528347,-1.2581078,3a,90y,324.38h,101.91t/data=!3m6!1e1!3m4!1s3uTXi12qVnI35DnDJbDofg!2e0!7i13312!8i6656)). Based on an analysis of the papers that use or cite this dataset [^guiding_surveillance] the inferred year of capture was definitely 2009 and the season was perhaps February or March based on the the window advertisements and cool-weather clothing.
-
-Halfway through the video a peculiar and somewhat rude man enters the video and stands directly over top a water drain for over a minute. His unusual demeanor and apparently scripted behavior suggests a possible relationship to the CCTV operators.
+REVISE
 
 Although Oxford Town Centre dataset first appears as a pedestrian dataset, it was created to improve the stabilization of pedstrian detections in order to extract a more accurate head region that would lead to improvements in face recognition.
 
-![caption: Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image source Google Sreet View](assets/surveillance_camera.jpg)
-
 {% include 'dashboard.html' %}
 
 {% include 'supplementary_header.html' %}
 
+### Location
+
+The street location of the camera used for the Oxford Town Centre dataset can be easily confirmed using only two visual clues in video: the GAP store and the main road [source](https://www.google.com/maps/@51.7528162,-1.2581152,3a,50.3y,310.59h,87.23t/data=!3m7!1e1!3m5!1s3FsGN-PqYC-VhQGjWgmBdQ!2e0!5s20120601T000000!7i13312!8i6656). The camera angle and field of view indicate that the camera was elevated and placed at the corner. The edge of the building is visible and there is a small white nylon strap and pigeon deterrent spikes visible on the upper perimeter of the building. Combined with stability of camera and pigeon appearances in front of the camera at 1:24 and 3:29, these visual cues indicate that the camera was mounted outside on the corner of the building just above the deterrence spikes.
+
+![caption: Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image sources: Google Sreet View and Oxford Town Centre dataset](assets/oxford_town_centre_cctv.jpg)
+
+Halfway through the video a peculiar and somewhat rude man enters the video and stands directly over top a water drain for over a minute. His unusual demeanor and apparently scripted behavior suggests a possible relationship to the CCTV operators.
+
+### Demo Videos Using Oxford Town Centre Dataset
+
 Several researchers have posted their demo videos using the Oxford Town Centre dataset on YouTube: 
+
 - [Multi target tracking on Oxford Dataset](https://www.youtube.com/watch?v=nO-3EM9dEd4)
 - [Multi-pedestrian tracking (TownCentre dataset)]https://www.youtube.com/watch?v=nO-3EM9dEd4
 - [Multiple object tracking with kalman tracker and sort](https://www.youtube.com/watch?v=SKXk6uB8348)
diff --git a/site/content/pages/research/00_introduction/index.md b/site/content/pages/research/00_introduction/index.md
index bcb3d57c..91b87b18 100644
--- a/site/content/pages/research/00_introduction/index.md
+++ b/site/content/pages/research/00_introduction/index.md
@@ -15,7 +15,15 @@ authors: Megapixels
 + Posted: Dec. 15
 + Author: Adam Harvey
 
+Facial recognition is a scam. 
 
+During the last 20 years commericial, academic, and governmental agencies have promoted the false dream of a future with face recognition. This essay debunks the popular myth that such a thing ever existed.
+
+There is no such thing as *face recognition*. For the last 20 years, government agencies, commercial organizations, and academic institutions have played the public as a fool, selling a roadmap of the future that simply does not exist. Facial recognition, as it is currently defined, promoted, and sold to the public, government, and commercial sector is a scam.
+
+Committed to developing robust solutions with superhuman accuracy, the industry has repeatedly undermined itself by never actually developing anything close to "face recognition".
+
+There is only biased feature vector clustering and probabilistic thresholding.
 
 ### Motivation
 
diff --git a/site/content/pages/test/gallery.md b/site/content/pages/test/gallery.md
index 6992d142..0c411add 100644
--- a/site/content/pages/test/gallery.md
+++ b/site/content/pages/test/gallery.md
@@ -17,3 +17,9 @@ authors: Megapixels
 ![Modal image 1](assets/man.jpg)
 ![Modal image 2](assets/man.jpg)
 ![Modal image 3](assets/man.jpg)
+
+## Test table
+
+| Col1 | Col2 | Col3 |
+|---|---|---|
+| Content1 | Content2 | Content3 |
+\ No newline at end of file
diff --git a/site/includes/dashboard.html b/site/includes/dashboard.html
new file mode 100644
index 00000000..814955b5
--- /dev/null
+++ b/site/includes/dashboard.html
@@ -0,0 +1,52 @@
+<section>
+  <h3>Who used {{ metadata.meta.dataset.name_display }}?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world by commercial, military, and academic organizations; existing publicly available research citing {{ metadata.meta.dataset.name_full }} was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section>
+\ No newline at end of file
diff --git a/site/includes/map.html b/site/includes/map.html
index 7511d4c7..3f50b027 100644
--- a/site/includes/map.html
+++ b/site/includes/map.html
@@ -1,25 +1,15 @@
 <section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world for commercial, military and academic research; publicly available research citing {{ metadata.meta.dataset.name_full }} is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world by commercial, military, and academic organizations; existing publicly available research citing {{ metadata.meta.dataset.name_full }} was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the location markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -27,13 +17,6 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
-</div>
-
-<!-- <section>
-	<p class='subp'>
-		[section under development] {{ metadata.meta.dataset.name_display }} ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- -->
-\ No newline at end of file
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> and then dataset usage verified and geolocated.</div >
+</div>
+\ No newline at end of file
diff --git a/site/includes/supplementary_header.html b/site/includes/supplementary_header.html
index be0967e4..125560cf 100644
--- a/site/includes/supplementary_header.html
+++ b/site/includes/supplementary_header.html
@@ -5,6 +5,6 @@
       <div class="hr-wave-line hr-wave-line2"></div>
   </div>
 
-  <h3>Supplementary Information</h3>
+  <h2>Supplementary Information</h2>
   
 </section>
diff --git a/site/public/datasets/oxford_town_centre/index.html b/site/public/datasets/oxford_town_centre/index.html
index db62a5a6..34234e50 100644
--- a/site/public/datasets/oxford_town_centre/index.html
+++ b/site/public/datasets/oxford_town_centre/index.html
@@ -47,11 +47,10 @@
     <div><a href='http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html' target='_blank' rel='nofollow noopener'>ox.ac.uk</a></div>
   </div></div><h2>Oxford Town Centre</h2>
 <p>[ page under development ]</p>
-<p>The Oxford Town Centre dataset is a video of pedestrians in a busy downtown area in Oxford used for creating surveillance algorithms with "potential applications in activity recognition and remote biometric analysis" or non-cooperative face recognition. <a class="footnote_shim" name="[^ben_benfold_orig]_1"> </a><a href="#[^ben_benfold_orig]" class="footnote" title="Footnote 1">1</a></p>
-<p>Based on observations of the dataset video and Google Street images, the source of the footage has been geolocated to a public CCTV camera at the intersection of Cornmarket and Market St. Oxford, England (<a href="https://www.google.com/maps/@51.7528347,-1.2581078,3a,90y,324.38h,101.91t/data=!3m6!1e1!3m4!1s3uTXi12qVnI35DnDJbDofg!2e0!7i13312!8i6656">map</a>). Based on an analysis of the papers that use or cite this dataset <a class="footnote_shim" name="[^guiding_surveillance]_1"> </a><a href="#[^guiding_surveillance]" class="footnote" title="Footnote 2">2</a> the inferred year of capture was definitely 2009 and the season was perhaps February or March based on the the window advertisements and cool-weather clothing.</p>
-<p>Halfway through the video a peculiar and somewhat rude man enters the video and stands directly over top a water drain for over a minute. His unusual demeanor and apparently scripted behavior suggests a possible relationship to the CCTV operators.</p>
+<p>The Oxford Town Centre dataset is a video of pedestrians in a busy downtown area in Oxford used for creating surveillance algorithms with potential applications in activity recognition, remote biometric analysis, and non-cooperative face recognition. <a class="footnote_shim" name="[^ben_benfold_orig]_1"> </a><a href="#[^ben_benfold_orig]" class="footnote" title="Footnote 1">1</a></p>
+<p>REVISE</p>
 <p>Although Oxford Town Centre dataset first appears as a pedestrian dataset, it was created to improve the stabilization of pedstrian detections in order to extract a more accurate head region that would lead to improvements in face recognition.</p>
-</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/oxford_town_centre/assets/surveillance_camera.jpg' alt=' Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image source Google Sreet View'><div class='caption'> Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image source Google Sreet View</div></div></section><section>
+</section><section>
   <h3>Who used TownCentre?</h3>
 
   <p>
@@ -111,7 +110,11 @@
 
   <h2>Supplementary Information</h2>
   
-</section><section><p>Several researchers have posted their demo videos using the Oxford Town Centre dataset on YouTube:</p>
+</section><section><h3>Location</h3>
+<p>The street location of the camera used for the Oxford Town Centre dataset can be easily confirmed using only two visual clues in video: the GAP store and the main road <a href="https://www.google.com/maps/@51.7528162,-1.2581152,3a,50.3y,310.59h,87.23t/data=!3m7!1e1!3m5!1s3FsGN-PqYC-VhQGjWgmBdQ!2e0!5s20120601T000000!7i13312!8i6656">source</a>. The camera angle and field of view indicate that the camera was elevated and placed at the corner. The edge of the building is visible and there is a small white nylon strap and pigeon deterrent spikes visible on the upper perimeter of the building. Combined with stability of camera and pigeon appearances in front of the camera at 1:24 and 3:29, these visual cues indicate that the camera was mounted outside on the corner of the building just above the deterrence spikes.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/oxford_town_centre/assets/oxford_town_centre_cctv.jpg' alt=' Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image sources: Google Sreet View and Oxford Town Centre dataset'><div class='caption'> Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image sources: Google Sreet View and Oxford Town Centre dataset</div></div></section><section><p>Halfway through the video a peculiar and somewhat rude man enters the video and stands directly over top a water drain for over a minute. His unusual demeanor and apparently scripted behavior suggests a possible relationship to the CCTV operators.</p>
+<h3>Demo Videos Using Oxford Town Centre Dataset</h3>
+<p>Several researchers have posted their demo videos using the Oxford Town Centre dataset on YouTube:</p>
 <ul>
 <li><a href="https://www.youtube.com/watch?v=nO-3EM9dEd4">Multi target tracking on Oxford Dataset</a></li>
 <li>[Multi-pedestrian tracking (TownCentre dataset)]<a href="https://www.youtube.com/watch?v=nO-3EM9dEd4">https://www.youtube.com/watch?v=nO-3EM9dEd4</a></li>
@@ -127,7 +130,7 @@
 <li>add license info</li>
 </ul>
 </section><section><ul class="footnotes"><li><a name="[^ben_benfold_orig]" class="footnote_shim"></a><span class="backlinks"><a href="#[^ben_benfold_orig]_1">a</a></span><p>Benfold, Ben and Reid, Ian. "Stable Multi-Target Tracking in Real-Time Surveillance Video". CVPR 2011. Pages 3457-3464.</p>
-</li><li><a name="[^guiding_surveillance]" class="footnote_shim"></a><span class="backlinks"><a href="#[^guiding_surveillance]_1">a</a></span><p>"Guiding Visual Surveillance by Tracking Human Attention". 2009.</p>
+</li><li><a name="[^guiding_surveillance]" class="footnote_shim"></a><span class="backlinks"></span><p>"Guiding Visual Surveillance by Tracking Human Attention". 2009.</p>
 </li></ul></section>
 
   </div>
diff --git a/site/templates/home.html b/site/templates/home.html
index 11ff7279..118814be 100644
--- a/site/templates/home.html
+++ b/site/templates/home.html
@@ -27,7 +27,7 @@
   </div>
   <footer>
     <div>
-      MegaPixels is an art and research project by Adam Harvey about the origins and ethics of facial analysis datasets, developed in partnership with Mozilla.
+      MegaPixels is a research project by Adam Harvey about facial recognition datasets, developed in partnership with Mozilla.
     </div>
     <div>
       MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
diff --git a/site/templates/layout.html b/site/templates/layout.html
index 52e5e74c..e446530f 100644
--- a/site/templates/layout.html
+++ b/site/templates/layout.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      {% if metadata.meta.dataset %}<div class='splash'>{{ metadata.meta.dataset.name_short }}</div>{% endif %}
+      {% if metadata.meta.dataset %}<div class='splash'>{{ metadata.meta.dataset.name_display }}</div>{% endif %}
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>