Cabecera

SPECIAL PANELS

PANEL 1
Tuesday, July 16, Universitat de València,
FE-Building, Aula magna, First Floor, Room: FE-1-A
ICIAM – ERC
14:30 - 16:30

Organizer: María Teresa González
During the first part of this session, the President of the European Research Council Jean-Pierre Bourguignon, together with a scientific officer working in the agency, will give an overview of the funding opportunities offered by the ERC as well as some general information on funded projects and the application and evaluation process. This will be complemented by the testimonies of panel members and current ERC grantees.

Informative talk about the ERC, funding schemes and evaluations
Speakers:
Jean-Pierre Bourguignon (ERCEA President)
Maria Teresa González (ERCEA Scientific Officer Mathematics Panel)

ERC grantees and panel members experience
Speakers:
Panel member: Maria J. Esteban and Jose Antonio Carrillo de la Plata
Consolidator grantee: Martin Burger
Advanced grantee: Peter Bühlmann

 
PANEL 2
Tuesday, July 16, Universitat de València,
FE-Building, Aula magna, First Floor, Room: FE-1-A
THE FUTURE OF MATHEMATICS IN THE AGE OF MACHINE LEARNING
17:00 - 19:00

Organizer:
Gitta Kutyniok

During the last years, machine learning methods have entered various areas of industrial and applied mathematics, often outperforming classical approaches. At the same time, many of those methods such as deep learning still lack a profound theoretical understanding.

The goal of this looking forward panel is to discuss the potential, but also limitations of machine learning methods in various areas of industrial and applied mathematics as well as possible future directions and visions. The panelists are the chairs of SIAM Activity Groups of main areas in industrial and applied mathematics which are particularly amenable for machine learning methods.

Panelists:
Hans De Sterck: Computational Science and Engineering and Machine Learning
Eitan Tadmor: Analysis of Partial Differential Equations and Machine Learning
Gitta Kutyniok: Imaging Science and Machine Learning
James Nagy: Linear Algebra and Machine Learning

PANEL 3
Friday, July 19, Universitat de València,
FE-Building, Aula magna, First Floor, Room: FE-1-A
CAREERS IN MATHEMATICAL SCIENCES TO ACADEMIA AND INDUSTRY
11:00-13:00

Organizer: Carlos Vázquez
Mathematical sciences are increasingly used in a wide range of application areas of research and industrial sectors. Also the training at all levels evolves accordingly, mainly  at the higher levels of master and PhD. In this way, an increasing variety of career opportunities arise to people with high talent in mathematics and a suitable training. On one hand, academic career is evolving and also producing new profiles strongly based on mathematical and computational skills, with additional deep knowledge on specific applications areas. On the other hand, mathematics is increasingly playing a major role in industrial organizations, thus demanding trained mathematicians with special skills in helping to solve real-world problems arising in industry and society.
In this panel, we aim to discuss about the current and future role to be played by mathematicians in academia and industry, as well about the possible improvements to develop successful careers to academia and industry. Gender aspects will be also discussed.
Panelist represent different mathematical societies, in which the topic of the panel has been largely followed and discussed.

Panelists:
Sven Leyffer (ICIAM)
Volker Merhmann (European Mathematical Society)
Jill Pipher (American Mathematical Society)
Wil Schilders (European Consortium of Mathematics in Industry)
Ami E. Radunskaya (Association of Women in Mathematics)

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