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Network Contagion Research Institute @ncri_io - The Network Contagion Research Institute (NCRI) is an independent, nonpartisan research center that investigates manipulation, coordinated and foreign influence operations, and harms to children. Our work is cited by Congress, federal agencies, universities, and journalists across the spectrum because our commitment is singular: follow the data, not the politics.
On accusations that NCRI serves ADL, the UN, Soros, or any political faction:
We have published research in major national publications that ADL’s DEI-style methodologies can increase hate. That they have irresponsibly distorted risk assessments, and have even promoted left-wing extremists.
- We have published findings in major national publications on UN bodies misrepresenting or manipulating conflict data for political reasons.
- We have exposed how left-leaning populations in the U.S. now endorse political violence and assassination against Donald Trump, evidence cited by the current Director of National Intelligence.
- Our research has also documented anti-American, foreign, and authoritarian information operations.
This is not the behavior of an organization who has any partisan leanings. It is the behavior of analysts who answer only to the evidence in the interest of protecting American values. The claim that NCRI collaborates, serves, or works with the ADL, Open Society, or (fill in the blank) collapses under even minimal scrutiny. The claims are designed to smear the messenger rather than ask: Is the message itself true?
NCRI has publicly contradicted and critiqued each of the above institutions when the data required it. Citations below.
How we work:
- Transparent, replicable methods
- Open data whenever security permits
- Peer-reviewed analytic techniques in computational social science
- No political or donor direction
- No advocacy agenda.
- Just analysis, evidence, and accountability.
We understand that our findings will make different groups uncomfortable at different times. That is unavoidable when you tell empirical truths in a polarized era.