Innovation at USP Innovation ecosystem Incubators CIETEC | - - PowerPoint PPT Presentation

Innovation at USP

Innovation ecosystem

• Incubators

CIETEC | SUPERA | ESALQTec | Habits | UNITec

• Innovation observatory
• Center for Entrepreneurship at USP (NEU)
• Center for Technological Policy and Management (PGT)
• 04 EMBRSPIIs Unities (federal core innovation centers)
• 11 CEPIDs Unities (state core research and innovation centers)
• InovaHC (Innovation Center of Medical Clinics Hospital)
• InovaInCor (Innovation Center of Heart Institute)

Our estrategic vision

Multidisciplinar approach

Governance model

Corporate executive administration Superior Council representing society Result-oriented management

Excellence and transparency

• Mobilization of the best teams and infrastructure, of

companies and research institutions, from Brazil or abroad

• Easy access to entire USP expertise and infrastructure
• Transparent management of resources and projects
• Permanent communication with the scientific

community, focusing on full dissemination of results to society

Push for startups

• Encourage and promote the development
• f companies that have innovation as the

basis of their business

• Pre-accelaration tutoring

digital technologies

• gaming technology
• user experience
• factory of future
• industry 4.0
• digital solutions
• artificial intelligence
• machine learning

• development of new pathways for the production of

molecules from biotechnological pathways, ie the development of a new chemical industry from the biomass.

• analysis and modeling of biological systems (omic

techniques)

• It is an initiative that aims to promote the

development of solutions for high-impact problems in science, economy and society

• interdisciplinary approach with

multidisciplinary teams in collaboration with the public and private sector

• science as major
• freshmen students from any

course can join in

• multi and interdisciplinary

education focused on scientific research and technological advances

• advanced prototyping shop
• support for designing, inventing and building

• USP center of entrepreneurship
• support for the development of

high-tec startups

• place for networking and

collaboration

• development and use of

computational tools and analysis of high-throughput data

• hypotheses raised by

analyzing big data (data- driven research)

• improve decision-making and diagnostic processes
• use of large databases using machine learning

techniques

• development of artificial intelligence

Thank you

inova@usp.br catalani@usp.br