https://gendersec.tacticaltech.org/wiki/api.php?action=feedcontributions&feedformat=atom&user=Maya2 2026-04-06T12:23:28Z User contributions MediaWiki 1.26.2 https://gendersec.tacticaltech.org/wiki/index.php?title=AWID,_Big_data,_Gender_and_development,_Brazil&diff=8667 2016-11-22T16:48:23Z

<p>Maya2: </p> <hr /> <div>{{Activities<br /> |Title of the activity=PANEL ON BIG DATA, GENDER AND DEVELOPMENT<br /> |Category=Gender and Tech<br /> |Start when ?=2016/09/11<br /> |End when ?=2016/09/11<br /> |Number of hours if only one day ?=1<br /> |Where is located the activity ?=World level for international activities<br /> |Geo-localization of the activity ?=-12.9730401, -38.502304<br /> |Who organize it=Maya Ganesh, Tactical Tech Collective,<br /> Mangala, ARROW,<br /> Yiping Cai, DAWN<br /> |For whom is it organized=PRIMARILY WOMEN WORKING IN INTERNATIONAL DEVELOPMENT, ACTIVISM, NGOS ON WOMEN'S RIGHTS AND GENDER RIGHTS<br /> |How many people trained=35<br /> |Motivations for organizing training=As part of AWID Forum in Brazil this was developed in partnership with ARROW (an SRHR and gender rights policy advocacy organization working in Asia-Pacific). <br /> <br /> A panel discussion which presented different perspectives on thinking through how big data shapes knowledge, and suggests prediction, in constructing and addressing 'development'. Maya presented an overview of the topic and area, gave examples from UN adoption of big data technologies. Mangala spoke frm the perspective of implementing organisations like Arrow, and Yiping spoke from the perspective of projects in China and how to think about the role of government, and what accountability means in the context of big data.<br /> |Links about the activity=http://arrow.org.my/sdgs-big-data-promise-lies-ahead/ Article by Mangala from ARROW on some of the themes raised at the panel<br /> }}<br /> {{Planning and documentation}}<br /> {{Learning outcomes}}</div>

Maya2