EmPower Learning Lab Series (Session 2)

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EmPower Learning Lab Series (Session 2)
The EmPower Learning Lab Series is an initiative of the EmPower: Women for Climate-Resilient Societies Programme (EmPower) designed to foster exchange of ideas, share innovative practices, and valuable tools and resources among the growing community of practitioners committed to advancing gender-responsive climate action in the Asia Pacific region and beyond. Full details ▼
Event type: Conferences, meetings, symposiums
Start date: 06 June 2024 | Start time: 11:00 UTC +00:00
End date: 06 June 2024 | End time: 12:00 UTC +00:00
Location: Online, Zoom

Event description

Date: 6 June 2024
Time: 11:00 AM - 12:00 PM (GMT+7)

EmPower Learning Lab Series (Session 2)

The EmPower Learning Lab Series is an initiative of the EmPower: Women for Climate-Resilient Societies Programme (EmPower) designed to foster exchange of ideas, share innovative practices, and valuable tools and resources among the growing community of practitioners committed to advancing gender-responsive climate action in the Asia Pacific region and beyond.

Each session of the Learning Lab will feature a guest speaker, a seasoned practitioner working at the intersection of gender and climate, who will share industry insights, lessons learnt, trends and anecdotes from their respective areas of work. Join us as we embark on this journey of learning and collaboration, aimed at accelerating impact and bringing gender equality and human rights at the forefront of climate action.

In the session with Srijana Baral of RECOFTC, we will demonstrate how women in low-carbon businesses have multiple, intersectional identities, that can either confer privilege or subject them to exclusion. Based on the evidence from action research projects in Nepal, we will bring insights and experiences of grassroots women in tackling the existing bias and barriers at different stages to redefine the status quo for achieving gender equality through engaging themselves in diverse low-carbon business models.