How can cutting-edge approaches to data—like advanced data science methods, quantitative methods, predictive analytics, artificial intelligence (AI), machine learning (ML), and natural language processing (NLP)—help inform peacebuilding and conflict prevention?
In 2019 and 2020, the Center on International Cooperation convened researchers and practitioners for a series of workshops on Data for Peace and Security highlighting practical applications of these new approaches in the peacebuilding field. Now, we are continuing this work through a new initiative on Data for Peacebuilding and Prevention, which will include a series of monthly Data for Peace Dialogues. This report, launched at the first virtual dialogue, lays out the state of the field and provides recommendations on how best to grow the field effectively.
The report maps and analyzes the existing global ecosystem in the field of data for peace and prevention. It highlights multiple examples of relevant initiatives throughout the world utilizing big data, data visualization, AI, ML, image recognition, and social media listening. It also discusses technical challenges impacting all actors, such as the lack of data or lack of high-quality data, lack of access due to security reasons, and data colonialism, as well as the ethical considerations brought on by exponential technologies (security, accessibility, transparency, safety, trust, bias, and justice), and some specific challenges for data-driven approaches to peacebuilding.
Watch the video of the report’s launch at the first Data for Peace Dialogue on October 27th:
Paige Arthur, Deputy Director, NYU Center on International Cooperation
Branka Panic, Founder and Executive Director, AI for Peace
Thierry van der Horst, Dutch Ministry of Foreign Affairs
Monica Nthiga, Director of Implementation, Ushahidi
Adriana Erthal Abdenur, Co-founder and Executive Director, Plataforma CIPÓ