The first paper in this issue by Roubelat andMarchais-Roubelat [2] appropriately delves the furthest back in history, to the original Oracle at Delphi. The paper does not only provide a forecasting history lesson, however: importantly, it finds parallels between the ancient approach and the modern-day namesake. Especially important is its consideration of the role of participants and the nature of expertise, aswell as the issue of trust. Bolger andWright [3] also provide a broader context for considering Delphi—although rather than historical, this focuses upon another research domain, namely social psychology. Their review and analysis discusses findings frompast research that have implications for howDelphi might work, that is, howthe method functions and howit can be enhanced. This research thus identifies a variety of important factors that need to be considered in deciding when and how to use Delphi