by Paige Arthur, Deputy Director
In February, more than 150 people representing 80+ governments, multilaterals, think tanks, and civil society organizations from around the world came together in the Hague to share compelling new ideas for using data-driven approaches for the public good—in this case, for peacebuilding and conflict prevention. Advanced forms of pattern recognition such as artificial intelligence (AI) and machine learning, natural language processing, and the development of new data sources (like “big” data, crowdsourcing) are just a few examples of data-driven approaches having an outsized—and often invisible—impact on our daily lives.
But while the governments and the private sector are rapidly scaling up their use of pattern-recognition and deeper forms of AI to deliver services and gather information, practitioners—especially in the peacebuilding field—have been slower to adopt these tools. In March 2019, CIC co-hosted the first Data for Peace and Security conference here in New York to showcase how that is starting to change. With the Netherlands Ministry of Foreign Affairs and the UN Peacebuilding Support Office, we brought a group of innovators together to show how data-driven approaches can be used to provide real solutions to practical challenges for peacebuilding and violence prevention.
Two weeks ago, we reconvened in the Hague to learn more about the applications that researchers and practitioners are building to address issues like protecting civilians in conflict-affected areas, increasing access to justice for victims of large-scale human rights abuses and war crimes, facilitating conflict mediation, and early identification of rising violence.
Here are just a few examples of the exciting new work that was shared at #D4PS 2020:
The range of projects we heard about—and the enthusiasm of the participants from so many different organizations and places—make it clear that this is a growing space. To have the necessary impact, however, it will need to grow at a faster pace and scale. As the field emerges, it’s critical that we develop more opportunities to cultivate learning and create new partnerships. But it’s just as critical, however, to have the opportunity to reflect on failures and on challenges we face—including problems like algorithmic bias and the potential misuse of AI. The “do no harm” ethos of the peacebuilding field must guide the development and use of these tools.
Building on these two international meetings, CIC will continue to build a community of practice to bring together researchers, practitioners, the private sector, governments, and others to forge practical solutions to real-world problems peacebuilders face on the ground. In the coming months, we will launch a series of virtual convenings to highlight cutting-edge solutions, and we will continue to focus on support to early warning/early response initiatives at national level.