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2000115-Strengthening-Communities-with-Neighborhood-Data

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130 <strong>Strengthening</strong> <strong>Communities</strong> <strong>with</strong> <strong>Neighborhood</strong> <strong>Data</strong><br />

Invest in People<br />

Train (or Recruit) More Software Programmers<br />

For all the progress we hope to make toward software simplification, it’s<br />

important to recognize that even the best software does not eliminate<br />

the need for competent data technicians. Increasing data processing and<br />

software engineering skills across the board is a challenging task, but the<br />

good news is that every successive cohort of school children will likely<br />

start middle school at a measurably higher skill level than its predecessors.<br />

This generational improvement could be accelerated through public<br />

investments in science, technology, engineering, and math education.<br />

As we broaden and deepen the community of technicians capable of<br />

turning raw data into retail data tools, opportunities for progress toward<br />

community revitalization will increase. Today, the demand for skilled<br />

software and data technicians still far outstrips the supply. Encouraging<br />

immigration of skilled technicians through the H1-B visa program can<br />

yield excellent results in this regard, but the federal government continues<br />

to resist expansion of this valuable program.<br />

Promote <strong>Data</strong> Literacy<br />

Perhaps an even larger challenge is to raise the capacity of end consumers<br />

to leverage data tools for improvements in their quality of life. Improving<br />

people’s ability to effectively leverage data tools is more challenging<br />

than improving the skill of our software technicians. Technicians have<br />

voluntarily sought to learn the skills critical for their craft, but the people<br />

who most need to leverage data tools are often unwilling or unable to<br />

learn how to do so. The pattern is familiar: Tools and resources often are<br />

rejected or ignored by those most in need of assistance. Such resistance<br />

may persist regardless of efforts to help, but some interventions, such<br />

as ubiquitous affordable broadband networks, increased investment in<br />

technology education, and face-to-face outreach, can at least set the preconditions<br />

for gradual improvement.<br />

Promote Evidence-Based Decisionmaking<br />

Analogous to the problem of training individual end users to effectively<br />

use data tools is the problem of promoting data-driven decisionmaking<br />

among institutions. No amount of great data or software can

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