Youth-Led Inquiry
Propose and vote on hypotheses about phenomenon you’re curious about.
Learn By Doing
Design experiments and see how the community responds to the evidence.
Citizen Science
Scientific claim making and discovery is not just for the “experts”
Use text and video to communicate what you think.
Dynamic Data
Monitor data about how claims and evidence are stacking up
Social, Peer Learning
Rally the community to investigate and prove claims

Youth-Led Scientific Inquiry

Empower students to pose claims 

Evident.ly provides a simple and engaging way to post original claims about the way things work and associated evidence about whether a claim is true or false; sharing with the community to determine social significance of various phenomenon.  In doing so, one must tap into scientific inquiry skills — question, hypothesize, test, and evaluate.

Learn by Doing

Be an inventor, scientist, and investigator.

Evident.ly loosely models the construction and acceptance of new scientific theories and principles by a social and scientific community.  Diverse actions including framing hypotheses, designing and exploring experiments that generate relevant evidence, and adding one’s vote into the set of claims that the larger community most strongly pursues are all part of participating on Evident.ly

Citizen Science

Share with a larger scientific community.

Evident.ly encourages curiosity and deeper exploration about real world phenomenon.  As an open social site, it highlights original claims and evidence that can be relevant and stretch into the professional scientific world.

Future features include linkages to adult professionals and expert communities. “Bucket List” of difficult experiments that students can’t fund/or run, but professional scientists can conduct

Dynamic Data

Real time data with unique data views.

Evident.ly displays personalized content about how various claims and evidence you’ve interacted with are stacking up in the community.

Future features could include ways of visualizing and interacting with community data trends based on data points picked about:

  • Changes in opinion about what’s true vs. false vs. untestable
  • Patterns in numbers of claims created and/or voted on in certain topics
  • Mapping variations over time

Social, Peer Learning

Knowledge and science is partly socially constructed.

On Evident.ly members vote on each others claims, can submit evidence on each others claims, and see how the community as a whole is interested in certain claims, investigates and prove claims.

Future features could include more social elements to enable more collaboration such as:

  • Commenting on individual claims and pieces of evidence
  • Team submission of experiment & evidence video
  • Private messaging to other members or team members
  • Ways to evaluate the evidence of others
  • Integration with Facebook