From the NYTimes, Jason Furman discusses a variety of long-term randomized controlled trials and big data research on smart social programs. This research is used to inform policy makers of the impacts of various actions on the effectiveness of these social programs related to the “War on Poverty” started in the 1960s. The programs studied includes those which focused on neighborhood nurture, temporary income support, and earned income tax credit, among others.
While the research discussed deals with designing smart social programs, the methods to conduct this research are similar to those employed by CBEAR when investigating ways to improve agri-environmental programs.
This research has proven extraordinarily beneficial when designing evidence based policy to improve government programs. It also provides ways to measure the success of these programs, using long-term data collection as a method to measure the long-term successes, such as the growing the social mobility of children in the areas these programs targeted. Some of the lessons learned from the methods of this research can be applied to the research of CBEAR, while it aims to improve the long-term success of agri-environmental programs. The results of this research demonstrate the immense value of conducting research over long periods of time when aiming to quantify the benefits of governmental programs.