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Marco<p>As a first post I would like to not highlight my own research, but the research of my colleagues, since I really love the way how this research began: With a question many people have asked.</p><p>As our working group researches on topics on <a href="https://scicomm.xyz/tags/anonymization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anonymization</span></a> and <a href="https://scicomm.xyz/tags/deidentification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deidentification</span></a> of medical and health data, the risk of identifying people or their membership in certain groups (e.g. having a specific diagnosis) is always present. On one of our retreats they decided to research the question:</p><p>Who are those adversaries, trying to do re-identify people in health data sets, what are their motives and what could be the harm?</p><p>The results can be found in the <a href="https://scicomm.xyz/tags/OpenAccess" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAccess</span></a> paper: Health Data Re-Identification: Assessing Adversaries and Potential Harms</p><p><a href="https://doi.org/10.3233/SHTI240626" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.3233/SHTI240626</span><span class="invisible"></span></a></p><p><a href="https://scicomm.xyz/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://scicomm.xyz/tags/adversary" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>adversary</span></a> <a href="https://scicomm.xyz/tags/healthdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>healthdata</span></a> <a href="https://scicomm.xyz/tags/medicalinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>medicalinformatics</span></a> <a href="https://scicomm.xyz/tags/privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>privacy</span></a> <a href="https://scicomm.xyz/tags/dataprotection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataprotection</span></a></p>
LisPiLong thread/46
petersuber<p>New study: Australian <a href="https://fediscience.org/tags/cancer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cancer</span></a> patients support the sharing of anonymized research <a href="https://fediscience.org/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> on themselves. Their <a href="https://fediscience.org/tags/consent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>consent</span></a> jumps from 50% to 80% after they see a "visual representation" of how the anonymized data will be shared.<br><a href="https://www.medrxiv.org/content/10.1101/2023.05.01.23289334v1" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">medrxiv.org/content/10.1101/20</span><span class="invisible">23.05.01.23289334v1</span></a></p><p><a href="https://fediscience.org/tags/Anonymization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anonymization</span></a> <a href="https://fediscience.org/tags/Australia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Australia</span></a> <a href="https://fediscience.org/tags/Medicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Medicine</span></a> <a href="https://fediscience.org/tags/OpenData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenData</span></a> <a href="https://fediscience.org/tags/Privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Privacy</span></a> <a href="https://fediscience.org/tags/Visualizations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Visualizations</span></a></p>
irreticent<p>We've (Tor project) Teamed Up With Mullvad VPN to Launch the Mullvad Browser </p><p><a href="https://blog.torproject.org/releasing-mullvad-browser/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blog.torproject.org/releasing-</span><span class="invisible">mullvad-browser/</span></a></p><p><a href="https://mastodon.social/tags/Tor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tor</span></a><br><a href="https://mastodon.social/tags/VPN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VPN</span></a><br><a href="https://mastodon.social/tags/Mullvad" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mullvad</span></a> <a href="https://mastodon.social/tags/browser" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>browser</span></a><br><a href="https://mastodon.social/tags/privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>privacy</span></a><br><a href="https://mastodon.social/tags/fingerprinting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fingerprinting</span></a><br><a href="https://mastodon.social/tags/anonymization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anonymization</span></a></p>
Matt Hodgkinson<p>🧵 I've long been skeptical of double-anonymised peer review, due to the high prevalence of re-identification, its clash with the principle of transparency, the increased difficulty of identifying author COIs and self-citation, and the often-weak evidence for its benefits.</p><p>However...</p><p><a href="https://scicomm.xyz/tags/PeerReview" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PeerReview</span></a> <a href="https://scicomm.xyz/tags/DEI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DEI</span></a> <a href="https://scicomm.xyz/tags/DiversityEquityInclusion" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DiversityEquityInclusion</span></a> <a href="https://scicomm.xyz/tags/RacialBias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RacialBias</span></a> <a href="https://scicomm.xyz/tags/RacialEquity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RacialEquity</span></a> <a href="https://scicomm.xyz/tags/Anonymization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anonymization</span></a> <a href="https://scicomm.xyz/tags/PublicationEthics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PublicationEthics</span></a> <a href="https://scicomm.xyz/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenScience</span></a></p>
LisPi<p><span class="h-card"><a href="https://hachyderm.io/@dalias" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>dalias</span></a></span> <span class="h-card"><a href="https://mastodon.lawprofs.org/@blakereid" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>blakereid</span></a></span> Yep.</p><p>All those who can should be hosting nodes for <a href="https://mastodon.top/tags/anonymization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anonymization</span></a> networks. The network is stronger and safer the larger it is.</p><p>This goes for <a href="https://mastodon.top/tags/I2P" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>I2P</span></a> and for <a href="https://mastodon.top/tags/Tor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tor</span></a>.</p><p>Sites also should actively support use of those networks, without <a href="https://mastodon.top/tags/Javascript" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Javascript</span></a> which can be used for deanonymization and thus has no place on them.</p><p>Sadly that's still not as good as proper <a href="https://mastodon.top/tags/AsynchronousCommunication" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AsynchronousCommunication</span></a> like <a href="https://mastodon.top/tags/Usenet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Usenet</span></a> or <a href="https://mastodon.top/tags/NNCP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NNCP</span></a> nodes for resilience, but it's a start.</p><p><a href="https://mastodon.top/tags/Anonymity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anonymity</span></a> <a href="https://mastodon.top/tags/Privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Privacy</span></a> <a href="https://mastodon.top/tags/Mixnet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mixnet</span></a></p>
Datendealerin 🎃☕<p><span class="h-card"><a href="https://fosstodon.org/@HeidiSeibold" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>HeidiSeibold</span></a></span> Oh, I don't know of any law suit horrors. But as a <a href="https://fediscience.org/tags/DataArchive" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataArchive</span></a> we do get <a href="https://fediscience.org/tags/ResearchData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ResearchData</span></a> for publication and the <a href="https://fediscience.org/tags/InformedConsent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InformedConsent</span></a> was either not collected or it has flaws and we cannot take the data. It often hurts when the data would be useful for a large audience. We did find work arounds sometimes in the past which involved very strict <a href="https://fediscience.org/tags/anonymization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anonymization</span></a>, to the point where the data lose a large part of their analyses potential 🙁</p>