To create an instrumental platform based on AugData, FBME, and Rec4U technologies that will be capable of:
identifying, explaining, and decreasing biases in training data sets using the developed methods for data validation, quality evaluation, and augmentation;
measuring and increasing the fairness indicators of machine learning algorithms meant for processing data from actors of social and economic systems;
automatically generating applied AI models of various complexity built on publicly available data;
automatically generating and verifying software modules, including those created as part of AI objects;
methodologically develop the WF of smart recommendations based on template elements and generative modules;
enriching existing AI objects with new models and data.
PROJECT TEAM
Denis Nasonov
PhD in Engineering
Head of the Project
Valery Vyatkin
PhD in Engineering co-head of "Technology development" and "Scientific dissemination of results"
Petr Chunaev
PhD in Physics and Mathematics co-head of "Technology development" and "Scientific dissemination of results"
Maria Khodorchenko
3rd year PhD Student head of "Social and professional dissemination of results" and co-head of "Technology development"
Nikolay Nikitin
PhD in Engineering co-head of "Technology development"