Research

By integrating Privacy Enhancing Technologies into our products, we are building trustworthy experiences that billions of people use worldwide. Our primary goal is to help design...

In 2019, Instagram requests research proposals to help us better understand experiences on Instagram that foster or harm the well-being and safety of our communities and societies. This includes, but is not limited to, research that will help us understand problematic issues facing our communities, develop better content policies, assess possible interventions to protect our communities, or identify the mechanisms (e.g., social support, social comparison) through which Instagram usage directly impacts well-being.

Facebook invites the academic community to submit research proposals addressing topics in advertising using privacy-enhancing technologies in cryptography.

Facebook is pleased to invite university faculty to respond to the new call for research proposals on AI System Hardware/Software Co-Design.

To foster further innovation in this area, and to deepen our collaboration with academia, Facebook is pleased to invite faculty to respond to this call for research proposals pertaining to the topics outlined here.

Facebook is pleased to invite university faculty to respond to a call for Continuous Reasoning research proposals.

Ensuring data driven systems are reliably aligned with privacy, security, safety, fairness, and robustness expectations is of foundational importance. The...

In this request for proposals (RFP), Facebook is offering awards to global social science researchers interested in exploring the societal issues of misinformation and polarization related to social communication technologies.

Facebook is pleased to invite the academic community to respond to this call for research proposals on low-resource Neural Machine Translation. Applicants for the grants will be expected to contribute to the field of low-resource NMT through research into novel, strongly performing models under low-resource training conditions and/or comparable corpora mining techniques for low-resource language pairs.

Meta is pleased to invite faculty to respond to this RFP on silent data corruption, which remain a widespread challenge for large-scale infrastructure systems.