FOREWARN Bangladesh, in association with Open Mapping Hub - Asia Pacific, is running the first-ever disaster hackathon in Bangladesh. It has announced its top 8 teams from across public, private, and international universities.
News and blogs
The Howden Group Foundation has pledged £400,000 to Start Network in line with its commitment to support scalable and sustainable solutions that build the resilience of disproportionately affected communities to climate change around the world.
A locally led humanitarian system is only possible through innovating, experimenting and testing different ways of working.
Reflecting on humanitarian trends over the past decade, one thing is clear: localisation and/or locally led action are ways of working that are here to stay.
Start Fund supports a national NGO to curb the impact of an under-the-radar crisis caused by flash floods in the occupied Palestinian territories.
Supporting communities displaced by the Armenia-Azerbaijan border conflict
This grant sought to enable the creation of new methodologies to measure the success and impact of humanitarian interventions. The Community-Led Approaches to Monitoring, Evaluation, Accountability, and Learning (MEAL) Research Grant was created in…
In the second risk pool, £4.5m has been stretched to £7.3m to protect communities against droughts, floods, cyclones and heatwaves in Democratic Republic of the Congo (DRC), Somalia, Pakistan, Philippines, Bangladesh, Madagascar and Senegal. Sarah…
At the Humanitarian Networks and Partnerships Week (HNPW), we are bringing diverse voices from our global network and key allies to challenge the humanitarian status quo.
A podcast series making the case for locally led humanitarian action.
Start Network is pleased to announce US$4.2 million of new funding to help protect people in Somalia from ever-worsening drought. The pay out is a result of a collaboration between the Federal Government of Somalia, African Risk Capacity and the UK…
Start Network is launching the #StartLocal - a live repository that compiles examples of locally led work.