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Title: Full Contact Philanthropy
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Full Contact Philanthropy Full Contact Philanthropy About Archive Projects Subscribe Philanthropy's false optimism Jun 10, 2016 ? After I closed my last company I found myself growing increasingly pessimistic. Pessimistic that my career to that point had generated any real social impact. Pessimistic that social programs had any real effect. I had figured out how to make a living in the social sector, but not social change. In the year or so between shutting my business down and joining the Family Independence Initiative (FII) I pursued a number of opportunities. At one point I found myself listening to a coworker philosophize about how her intense optimism fueled her quest to end poverty in Sub-Saharan Africa. I remember thinking to myself how I wished I shared her optimism, and lamenting my loss of faith in social sector work. Appropriately, this lecture on optimism was delivered in a luxury vehicle with heated leather seats on our way to discuss a six-figure Word document prepared for a multi-billion dollar foundation. Africa has never been so saved. Also during this period before joining FII I was courted by a social sector technology startup. My experience at the intersection of technology and nonprofits was attractive. However, the CEO of this company made it clear that my lack of faith in the social sector was not, telling me I was “too pessimistic” for the job. For a long while I thought she was right. Why couldn’t I just believe in the social sector, and enjoy the cognitive dissonance of doing well for myself while believing I’m doing well for others as well? As much as I wanted to believe, I just didn’t. True pessimism It wasn’t until I joined FII that I realized what true optimism is, and how in my opinion the social sector masks extreme pessimism as false optimism. At the heart of any social intervention is the theory of change. The theory of change assumes that some form of external intervention (tutoring program, job training, etc.) can drive a positive outcome (kids graduate from school, parents get jobs). In human services, the theory of change is often steeped in a deep rooted belief that the poor cannot achieve on their own. These stereotypes include wrongheaded beliefs that the poor are: Bad parents Don’t value education Are not capable of holding jobs Don’t care for their health These assumptions are not only wrong, but they underscore a cynicism that undermines the presumption of philanthropic optimism. Poor people can and do succeed everyday on their own terms without any external “social intervention”. We see this at FII and GiveDirectly is making this case in international development. An optimist all along I used to think I was a formerly optimistic person who had become a pessimist after realizing the social sector did not have the impact I had hoped. The exact opposite is true. I started my career with a pessimistic view of the poor. I believed they could not succeed. I was wrong, I was a pessimist. Now I know the poor can and do succeed every day. I am an optimist. But the social sector is not, and with good reason. The optimism I speak of undermines the fabric of the social sector. Trust in people ironically is an affront to those of us who make our living “aiding” the poor. If they can do it on their own, what do they need us for? Indeed, what do they need us for. The social sector business model, of which I’m no doubt a part, is to sell donors on a disbelief in the poor, and then to sell their outcomes as ours. But nonprofits do not create social impact, people and families do. Optimism is believing in people. Optimism is investing in families. Anything else is pessimism, although I’m not terribly optimistic the social sector will change. Democratizing data in your nonprofit May 31, 2016 ? It wasn’t long ago that data existed at the outskirts of the nonprofit psyche. In the last few years however, interest in social sector data has spiked, even if capacity has not kept pace. A few pioneering nonprofits are making big bets on the transformative potential of data by hiring Chief Data Officers, like my employer the Family Independence Initiative (FII). For data to truly be transformative however, it cannot be the exclusive domain of those with “data” somewhere in their job descriptions. Fundamentally, data analytics is about listening in aggregate, listening to those you serve, about what is working, and what is not. Everyone in your organization needs to listen. Therefore, everyone in your organization needs access to data. When I joined FII there was a clear line between the “data people”, who had access to our analytics, and everyone else. Like most nonprofits, when someone outside the data team needed to access the data, a request would come in to the data team and someone would perform some analysis and report back. When I joined FII one of my initial focuses was making sure everyone in the organization had access to our data. To achieve data access ubiquity, I built a series of internal facing data dashboards that empower staff to explore and extract the data they need via a web-browser on their own. Shiny dashboards to the rescue I conduct my data analytics with the popular statistical programming language R. R provides tremendous power to split and explore data as well as build any range of models from econometrics through machine-learning. In order to get the power of the R language into the browser I developed FII’s data dashboards using a server framework called Shiny Server. I taught a surprisingly well attended session at this year’s Do Good Data conference on building Shiny dashboards, and am open to writing more technical posts on using Shiny in nonprofits if there’s interest. Shiny has been a godsend, enabling me to spin up new dashboards practically at will. Our data dashboards are organized by topic. For example, we have dashboards for demographics, financials, education, health, etc. Each dashboard allows staff to input custom report parameters, such as the time interval, specific demographics characteristics, and variables the staff member wants to explore. Below is a screen shot of our financials dashboard. The beauty of Shiny is that you have the full power of R underneath, so your dashboards are only limited by your imagination (and of course R skills). Below is another example of one of our dashboards, this one showing educational outcomes by age ranges: I’m heartened that the social sector is recognizing that data is important, but now begins the more difficult work of putting that realization to practice. The first step I believe is getting data out of the “data dungeon” and into the hands of everyone in the organization. After all, if data analysis is really listening in aggregate, who in your organization wouldn’t be aided by listening more closely? Social determinants of health does not mean the poor are sick Mar 14, 2016 ? Last week I saw an article from Time titled “Pediatricians Should ‘Screen’ Kids for Povert...

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