Statistics is still a young discipline with several different and competing paths in its approaches and foundations. The question of which methodology is best suited to this challenge is as important today as it has been for almost the entire history of Statistics. Over the last six years, BFF meetings have served as a venue for researchers and practitioners to share ideas, update research progress, highlight important open problems in both theory and implementation, and most importantly discuss future directions of such research. This workshop aims to bring together experts who are committed to the development of bridges between the three major approaches towards statistical inference, namely, Bayesian, frequentist and fiducial (BFF), with the aim of developing a firm foundation for the challenges of statistical inference in our data centric world. Emphasis is given to methodology, computation and the philosophical issues concerning the BFF foundations.