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 <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/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>
+<li><a href="/about/terms/">Terms</a></li>
+<li><a href="/about/privacy/">Privacy</a></li>
 </ul>
-</section><p>(PAGE UNDER DEVELOPMENT)</p>
-<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 technological advancements. Today, these datasets no longer originate in labs, but instead from family photo albums posted on photo sharing sites, surveillance cameras on college campuses, search engine queries for celebrities, cafe livestreams, and <a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">personal videos</a> posted on YouTube. </div></p><p>Collectively, facial recognition datasets are now gathered "in the wild".</p>
-<p>MegaPixels is art and research by <a href="https://ahprojects.com">Adam Harvey</a> about facial recognition datasets that unravels their histories, futures, geographies, and meanings. Throughout 2019 this site this site 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.</p><p>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.</p>
-<p>The MegaPixels website is produced in partnership with <a href="https://mozilla.org">Mozilla</a>.</p>
+</section><p>MegaPixels is an independent art and research project by Adam Harvey and Jules LaPlace investigating the ethics and individual privacy implications of publicly available face recognition datasets, and their role in industry and governmental expansion into biometric surveillance technologies.</p>
+<p>The MegaPixels site is made possible with support from <a href="http://mozilla.org">Mozilla</a></p>
 <div class="flex-container team-photos-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>
-       <a href="https://ahprojects.com">ahprojects.com</a>
+       <h3>Adam Harvey</h4>
+       <p>is Berlin-based American artist and researcher. His previous projects (CV Dazzle, Stealth Wear, and SkyLift) explore the potential for counter-surveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups) and is a currently researcher in residence at Karlsruhe HfG.</p>
+       <p><a href="https://ahprojects.com">ahprojects.com</a></p>
        </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>
-       <a href="https://asdf.us/">asdf.us</a>
+       <p>is an American technologist and artist also based in Berlin. He was previously the CTO of a digital agency in NYC and now also works at VFRAME, developing computer vision and data analysis software for human rights groups. Jules also builds experimental software for artists and musicians.
        </p>
+       <p><a href="https://asdf.us/">asdf.us</a></p>
    </div>
-</div></section>
+</div><p>MegaPixels.cc is an independent research project about publicly available face recognition datasets. This website is based, in part, on earlier installations and research project about facial recognition datasets in 2016-2018, in particular the MegaFace dataset. Since then it has evolved into a large-scale survey and analysis of publicly available face and person analysis dataset usage, geographies, and ethics.</p>
+<p>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 MegaPixles is supported by a 1 year Researcher-in-Residence grant from Karlsruhe HfG.</p>
+<p>When possible, and once thoroughly verified, data generated for MegaPixels will be made available for download on <a href="https://github.com/adamhrv/megapixels">github.com/adamhrv/megapixels</a></p>
+<h4>Team</h4>
+<ul>
+<li>Adam Harvey: Concept, research, design, computer vision</li>
+<li>Jules LaPlace: Information and systems architecture, data retrieval, web applications</li>
+</ul>
+<h4>Contributing Researchers</h4>
+<ul>
+<li>Berit Gilma: Dataset statistics and discovery</li>
+<li>Beth (aka Ms. Celeb): Dataset usage verification and research</li>
+<li>Mathana Stender: Commercial usage verification and research on LFW</li>
+</ul>
+<h4>Code and Libraries</h4>
+<ul>
+<li><a href="https://semanticscholar.org">Semantic Scholar</a> for citation aggregation</li>
+<li>Leaflet.js for maps</li>
+<li>C3.js for charts</li>
+<li>D3.js and ThreeJS for 3D visualizations</li>
+<li>PDFMiner.Six and Pandas for research paper data analysis</li>
+</ul>
+<p>Please direct questions, comments, or feedback to <a href="https://mastodon.social/@adamhrv">mastodon.social/@adamhrv</a></p>
+</section>
 
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