Institute for Emerging Research
About us
We are a multidisciplinary collective of researchers from different fields united by a common mission: to solve the bottlenecks of modern research by facilitating a neutral, fast evaluation process, operated at a fraction of the costs of normal publications, and accelerating science with AI.
A Multidisciplinary Research Collective
We are a mixture of researchers from different fields—spanning natural sciences, engineering, social sciences, medicine, and computation. Having experienced firsthand the friction, delays, and opacity of current research dissemination, we came together to pioneer a neutral, transparent, and technology-driven evaluation model.
Solving the Bottlenecks of Current Research
Valuable discoveries frequently languish in review queues for months or years before being shared. We address these critical bottlenecks by facilitating a neutral, fast evaluation process powered by AI that evaluates papers against rigorous, article-specific rubrics with objective, structured feedback delivered in minutes.
A Fraction of Traditional Publication Costs
Conventional academic publishing imposes steep article processing charges (APCs) that can reach thousands of euros per manuscript. We believe rigorous evaluation should never be gatekept by budget: we provide comprehensive AI rubric evaluations and Working Paper Series publishing at a small fraction of the cost of standard journals.
Double-Blind Peer Review is the Gold Standard
We consider double-blind peer review to be the golden standard of scientific validation, and we do not intend to replace it. Rather, our fast, neutral AI evaluation acts as a complementary layer—enabling authors to pressure-test methodology, catch integrity issues early, and diffuse high-quality working papers rapidly while preparing for formal peer review.
Diffusing High-Quality Work & Accelerating Science with AI
Our goal is to help researchers diffuse high-quality work as fast as possible, eliminate unnecessary gatekeeping, and accelerate global science through artificial intelligence. By pairing rapid feedback with our open-to-all-disciplines Working Paper Series, authors can establish priority, share reproducible findings, and advance their field without artificial friction.