Kate Nyhan<p>Hi <a href="https://fediscience.org/tags/EvidenceSynthesis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EvidenceSynthesis</span></a> folks and <a href="https://fediscience.org/tags/medlibs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>medlibs</span></a> <br>You have about ten minutes to give feedback to the ESIC people</p><p>Link: <a href="https://qualtricsxm45bq73zl3.qualtrics.com/jfe/form/SV_a4bGY6aWrCu8fMa" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qualtricsxm45bq73zl3.qualtrics</span><span class="invisible">.com/jfe/form/SV_a4bGY6aWrCu8fMa</span></a></p><p>The Stage 3 reports are at <a href="https://evidencesynthesis.atlassian.net/wiki/spaces/ESE/pages/219217921/Stage+3+Reports" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">evidencesynthesis.atlassian.ne</span><span class="invisible">t/wiki/spaces/ESE/pages/219217921/Stage+3+Reports</span></a></p><p>Since you don't have time to read them at this point, I will suggest some talking points:</p><p>1 The AI working group's suggestion of generic classifiers (to tag/retrieve/screen studies with a particular study design, population, setting, outcome, whatever) is one of the few ideas that are IMO both valuable and feasible</p><p>2 You can say that technical mechanisms will someday allow for an AI-led framework where human oversight is significantly reduced, yet evidence integrity remains uncompromised – but saying that doesn’t make people believe it.</p><p>3 Before we build <a href="https://xkcd.com/927/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">xkcd.com/927/</span><span class="invisible"></span></a> in terms of literature databases, or ES data sharing standards, or ontologies -- let's reflect on the benefits of decentralization. Would the rest of the EBM world be worrying quite so much about US politics if not for the centrality of NCBI, NLM, PubMed, PMC, CDC, HICPAC, NIOSH, etc in global information networks?</p>