This virtual workshop will provide an opportunity for attendees to discuss the current and future applications of emerging technologies in peacebuilding and learn from humanitarian actors and their experiences. The workshop will create a space for sharing both successes and failures, while envisioning together how to increase the use and impact of data and data-driven approaches in peacebuilding and conflict prevention.
To advance the access to people-centered justice dialogue, a group of local, national, and international CSOs have come together to organize a virtual meeting seeking to bring together paralegals and organizations that support paralegals from across Africa, AU representatives, policy makers and State officials to continue a continent-wide conversation on how we can work together to support and bolster the important work of community-based paralegals.
Join the October Data for Peace conversation to hear more about the results of the Ecological Threat Report 2021: Understanding ecological threats, resilience, and peace, recently published by the Institute for Economics and Peace. Join us this month to discuss different ways the peacebuilding and prevention community can use data and data-driven approaches for climate-conflict research, prediction, and prevention.
New York University’s Center on International Cooperation will be hosting a Data for Peace Discovery Day for mission-driven organizations in the peacebuilding and conflict field to advance their work through data and emerging technologies.
Data science methods can bring immense potential to support peacebuilding and humanitarian work. However, we must recognize that these methods come with an extreme risk to both the privacy and lives of vulnerable populations if the data is misused or used inappropriately. Although these risks exist across different contexts, the sensitive nature of conflict or violence affected areas uniquely exacerbates these challenges. In order to “do no harm,” we must be able to understand and tackle the technical and ethical issues of working with data about crisis-affected people.
Over 40 million people today are trapped in modern slavery and conditions of severe exploitation worldwide. One in four of them are children, and almost 71 percent are women and girls. Governments are already behind in their commitment to eradicate modern slavery and achieve UN Sustainable Development Goal 8.7 by 2030. Data about this form of human rights abuses and vulnerabilities can be difficult to collect and patterns of exploitation difficult to see. On top of that, armed conflict, natural disasters, and other humanitarian settings increase vulnerability to certain forms of forced labor, modern slavery, human trafficking, and child labor. In response, some organizations and researchers are looking into available data and the potential of computational science, artificial intelligence, and machine learning tools to help stop modern slavery.
