  In view of the paradigm shift that makes science ever more data-driven, we
consider deterministic scientific hypotheses as uncertain data. This vision
comprises a probabilistic database (p-DB) design methodology for the systematic
construction and management of U-relational hypothesis DBs, viz.,
$\Upsilon$-DBs. It introduces hypothesis management as a promising new class of
applications for p-DBs. We illustrate the potential of $\Upsilon$-DB as a tool
for deep predictive analytics.
