1.0HIIGhttps://www.hiig.de/en/Empowering workers with data – HIIGrich600338<blockquote class="wp-embedded-content" data-secret="u5ySY4v9DG"><a href="https://www.hiig.de/en/publication/empowering-workers-with-data/">Empowering workers with data</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.hiig.de/en/publication/empowering-workers-with-data/embed/#?secret=u5ySY4v9DG" width="600" height="338" title="“Empowering workers with data” — HIIG" data-secret="u5ySY4v9DG" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
/*! This file is auto-generated */
!function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document);
//# sourceURL=https://www.hiig.de/wp-includes/js/wp-embed.min.js
</script>
Workers and their workplaces are becoming increasingly datafied. While much research has explored how this worker-related data is being used for management purposes, for example in the context of people analytics and algorithmic management, we know less about how workers and their representatives can leverage this data for their own purposes. Therefore, this blog post explores how some workers are organising around data to support worker advocacy.