Together with my Research Assistant team, I am in the process of solving the problem of obtaining a proper numerical representation of the 2008 crisis, about which we have well-documented data, but no formal representation - and whose after-effects are still felt. Once I obtain that, it will be applied to the post-2008 problem of slow Economic growth (some organizations that work closely with the government, for example, AFL-CIO, are very interested in solving this problem of slow growth). I am using artificial intelligence based methods, such as causal modeling, and obtaining very good results. So, I think that the process should go from formal characterization of 2008 crisis -> post-2008 problem of slow Economic growth solved in the light of the formal characterization (some post-crisis risk algorithms that were applied after 2008-2009, will be changed in the light of the formal characterization of the 2008 crisis) -> the possible after-effects of COVID-19 crisis and impact on Economy (complete and reliable data are not yet available, but will be available soon, as we hope).