Dr. Elena Petrova
Data Researcher
At EveryInfra Elena sets the limits for compliance and data ethics: what data can be collected, how it is stored and how it is sanitized. She also reviews the wording of our legal terms.
Education
- Higher School of Economics (Moscow), B.S. and M.S. Applied Mathematics and Informatics (2007–2012)
- Max Planck Institute for Software Systems, Ph.D., computational social science (2012–2018)
Previous roles
- MPI-SWS (Kaiserslautern) — Postdoctoral Researcher (2018–2021)
- A digital rights research institute (Berlin) — Research Scientist (2021–2024)
Articles by Dr. Elena Petrova
- Age Verification Weekly Report: Tests on 1,800 App Reviews
Can a weekly data report show how age verification rules land in real apps? We read 1,800 Google Play reviews and all 2,604 public EU KIDS Act comments. We kept every personal field out of the data.
- News AI Licensing Moves to Pay-Per-Use: 8 Events and a Search Test
In 30 days, Google, Cloudflare and the publisher coalition SPUR moved news licensing toward payment per AI use. Nobody has settled who counts a use. We tested how three search tools surface the original documents behind eight of these events.
- Building a Sanctions List Screening Workflow: From Name Matches to Auditable Review
List downloads and fuzzy matching are only the beginning. This article breaks down how list versions, name and entity matching, beneficial ownership, human review, continuous monitoring, degradation handling, and audit evidence combine to form a screening product.
- Commercializing Public Tender Data: From Notice Ingestion to Vertical Business Opportunity Subscriptions
Public tender information is already searchable, so why pay for a subscription? Using official TED data as a reference, this article discusses industry filtering, qualification reviews, deadlines and version changes, team collaboration, and acceptance methods for opportunity subscriptions.
- Did AI coding actually improve efficiency? Do not treat three types of evidence as a single conclusion
Place METR's 2025 randomized experiment, 2026 design updates, and technical worker surveys back into their respective contexts, distinguishing task speed, manual effort, and delivery value to establish your team's own evaluation metrics.