colift

Surveys & community-research contributions, how we approach them

Some colift tasks involve volunteers contributing structured responses to community-research questions, such as observations that feed a needs assessment or a community report. This article explains how we treat those tasks, what supports the position, and what we won’t do.

Honest status of the law

Unaddressed-but-defensible No FNS, CDSS, or OTDA guidance, ruling, or litigation we have found treats survey/research participation as qualifying SNAP volunteer hours. None excludes it either. This is genuinely untested.

colift treats survey tasks as a minority of the catalog, designs them conservatively, and raises them specifically in pre-clearance conversations with county welfare departments.

Our position

The defense is not that the data is valuable. The value of an output does not make the act "work" in the legal sense.

The defense is that the volunteer is a contributor to a public-benefit community-research project, not a research subject. That framing has analogical support:

  • Analogical The Crowdsourcing and Citizen Science Act of 2016 endorses volunteer data contribution as a public good. Federal agencies (EPA, USDA, NPS) run participatory-science programs that treat data contribution as a volunteer act.
  • Analogical Community-Based Participatory Research (CBPR) frameworks at NIH, CDC, and AHRQ recognize community members as research partners when the research is genuinely participatory and public-benefit.
  • Analogical Nonprofit-hospital Community Health Needs Assessments (IRS §501(r)) are legally mandated public-benefit research products built from community-reported data.
  • Direct authority 7 CFR §273.24(a)(2)(iii) counts "unpaid work, verified under standards established by the State agency," without defining the term so narrowly as to exclude research contribution.

The nine gates a survey task must pass

A survey or self-report task must clear all nine before it enters the catalog:

  1. Unpaid. No cash, gift card, or other incentive.
  2. The deliverable is named and specific.
  3. The decision-maker who will use the deliverable is named.
  4. The recipient organization is a qualifying org (501(c)(3), government, school, or food bank).
  5. The work requires substantive structured effort, not a click-through.
  6. The aggregate serves others, not the respondent.
  7. Completion and engagement are measurable.
  8. PII is minimized. The least personal data needed; aggregated and de-identified before any distribution.
  9. The task is framed as research contribution, not personal benefit.

What we don’t design

Paid or incentivized participation. Personal self-tracking with no external research use. Click-through participation. Anything where the respondent is the only beneficiary. Anything we would sell.

Our preference when there’s a choice

When an external-environment observation task can do the same job as a self-report survey, we design the observation task instead. It carries no "subject" risk and produces a self-verifying artifact. "Document fresh-food prices at five stores near you" is what we’d build before "report your own grocery spending."

Not legal advice.