Brazil
Hub: Universidade de São Paulo, São Carlos, Brazil
Title: Auto AI-Pandemics: Democratizing Machine Learning for Analysis, Study, and Control of Epidemics and Pandemics
Team Members
André de Carvalho
Director
Claudio Struchiner
Team Member
Robson Bonidia
Team Member
Guilherme Goedert
Team Member
Ulisses da Rocha
Team Member
Troy Day
Team Member
Peter Stadler
Team Member
Danilo Sanches
Team Member
Maria Emilia Walter
Team Member
John Edmunds
Team Member
Marcia Castro
Team MemberGeneral Objectives
Our main objective is to develop an integrated and user-friendly platform, called AutoAI-Pandemics, democratizing access to data science and machine learning techniques by allowing non-experts to use them well, e.g., biologists, physicians, and epidemiologists. AutoAI-Pandemics seeks to provide the following solutions:
(T1) Automated epidemiologic analysis to detect possible epidemic scenarios and corresponding optimal intervention policies;
(T2) Automated bioinformatics analysis, e.g., drug discovery or pathogen genome mining;
(T3) Fighting misinformation/disinformation to assist in the search for reliable sources.
Specific Objectives
1 - Assist non-specialist researchers in using ML for analysis, study, and control of epidemics and pandemics;
2. Assist in challenging problems such as drug resistance, treatment of infectious diseases, epidemiologic analysis, bioinformatics analysis, and combat misinformation;
3. To develop public APIs/packages for the scientific community in each proposed topic;
4. To develop a user-friendly platform that can be effectively applied by non-experts working with infectious diseases;
5. To publish results through articles (conference and journal);
6. To train specialist doctoral students in the area of artificial intelligence with preparation and response in health.