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---
layout: default
title: About
---
<main style='max-width: 800px; margin: auto; text-align: justify;'>
<p>The founding team of Asterisk Labs is working at the intersection of deep learning, Earth observation and climate science, and weʼre on a mission to enrich the planetary data commons. Right now, the vast archives of public Earth data, from ground-based sources to satellites, are grossly underutilised. Most of the data are siloed, used exclusively by their respective communities. But single measurements of Earth are only limited views on a deeply interconnected planetary system, and never tell the whole story on their own. We leverage AI to recycle and reuse data across disciplines, acting as a feedback loop in the planetary data commons.</p>
<p>To pursue our mission, we need a long-termist vision free from the barriers of short-term contracts, enabling scientists to carry out deep collective work that goes beyond surface-level collaboration. We are committed to open-science and maximising our social and scientific impact. Thatʼs why we are doing things differently, as the UKʼs first worker-owned co-operative research lab, where we collectively manage the science we produce.</p>
</main>
<div class='name-list'>
<a href='team.html'><h3 style='margin-top: 100px;'>team</h3>
{% for member in site.data.members %}
<p class='partner-name'><a href='team.html'>{{ member.name }}</a></p>
{% endfor %}
</div>
<script type="text/javascript">
document.querySelectorAll(".partner-name").forEach(e=>e.style.order=parseInt(Math.random()*1e9));
</script>