This week’s readings remind me a question: how to
evaluate the social impact of education on children? Scores and grades are easy
to be observed. And long-term and comparative research about behavior changes
can also indicate a general trend of the impact, improving or deteriorating. It
is like the gym case in Impact Alpha’s article. Research
and Bridges’ experience shows that getting first-time gym users to join, stay
and change their health habits can be a game-changer, with preventive health
benefits for which insurers and others are increasingly willing to pay. As Trelstad
said, in this way we can see all the impact homerun opportunities to think
about ways to connect the social-finance dots around gyms.
Patrick also said that in each targeted case, impact
benchmarks and milestones would be clear and Bain would report under the
so-called GIIRS rating standards developed by the nonprofit B Lab. Take one
step further, big data analysis may be a chance for social impact measurement
by tracking and recording a tridimensional database of behavior changes. This may
be useful for the third impact theme: community-building which is aimed at
creating jobs and catalyzing economic activity in areas of chronic
unemployment. We can use the changes in the unemployment rate, GDP per capita, or
numbers of new jobs created to evaluate the outcomes of social impact programs.
However, I have read another article called “Genetic
influence on human psychological traits: A survey”, which summarized some
research findings that our traits/talents were significantly influenced by
genetic factors[i]. Thus, taking
individual differences into account, only depending on what we have observed is
not reliable. It is hard for us to measure that whether our education is
effective or we just lucky enough to meet some smart and resilient children. We
cannot easily separate the influence of genetic factors from the impact of
external environmental factor-education.
The same as Rick who holds a negative
viewpoint about the impact assessment. The SIBs (Social impact bonds) case
indicates that public programs even don’t measure the results, or fail to track
outcomes, decouple funding from effectiveness, and prioritize compliance with
rules.
After reading this week’s passages, I feel that investing
into the social impact area is one thing, and proving that the spending is
effective and efficient is another thing. But developing/finding some
scientific methods to justify the spending is not a long-period effort
(reasonable 10-12 years according to the McKinsey’s report). We admit that
every investment carries risks, although it is a government-funded social
program using our (taxpayers’) own money, it hasn’t to be successful. At least
the investment/funding itself encourages and promotes initiative willing and actions
to address social problems.
[i] Ilska, J., Haskell, M. J., Blott,
S. C., Sánchez-Molano, E., Polgar, Z., Lofgren, S. E., . . . Wiener, P. (2017,
June 01). Genetic Characterization of Dog Personality Traits. Retrieved
September 26, 2017, from http://www.genetics.org/content/206/2/1101
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