  Unknown unknowns are future relevant contingencies that lack an ex ante
description. While there are numerous retrospective accounts showing that
significant gains or losses might have been achieved or avoided had such
contingencies been previously uncovered, getting hold of unknown unknowns still
remains elusive, both in practice and conceptually. Using Formal Concept
Analysis (FCA) - a subfield of lattice theory which is increasingly applied for
mining and organizing data - this paper introduces a simple framework to
systematically think out of the box and direct the search for unknown unknowns.
