[et_pb_section fb_built=”1″ _builder_version=”4.9.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.9.7″ _module_preset=”default” width=”auto” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.9.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.9.7″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][et_pb_toggle title=”New Bridges between Mathematics and Data Science: a Scientifc Debate” _builder_version=”4.14.2″ _module_preset=”default” width=”80%” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n
The aims of this round table are three fold. On one side we will analyse the positioning of the international mathematical community with respect to the data driven computational mathematics by looking at the thematic evolution of the mathematical contributions oriented to the applications. Secondly, need to prospectively think and discuss about the challenges, open problems and strategic lines in which mathematics can contribute to the
foundations of Computational Mathematics, Artificial Intelligence, and their algorithms. Finally, the presenters and participants of the round table should be able to collectively come up with specific initiatives, policies and detailed actions’ proposals to help interested senior mathematicians and young researchers in contributing to the foundations of Artificial Intelligence and Data Driven Computational Mathematics.<\/p>\n
Every presenter in the round table will make a short speech on a specific subject along the above lines to be the base and starting point of the round table debate part.<\/p>\n
(video<\/a>)<\/p>\n Organizer:<\/strong><\/p>\n Llu\u00eds Alsed\u00e0<\/a> (Centre de Recerca Matem\u00e0tica\/Universitat Aut\u00f2noma de Barcelona)<\/p>\n Participants\/topics:<\/strong><\/p>\n Joan Bruna<\/a> (Courant Institute, New York University) Ilaria Chillotti<\/a> (Director of Research, Zama) Jes\u00fas Mar\u00eda Sanz-Serna<\/a> (Universidad Carlos III de Madrid) Sebasti\u00e0 Xamb\u00f3-Descamps<\/a> (Chair, Universitat Polit\u00e8cnica de Catalunya) [\/et_pb_toggle][et_pb_toggle title=”Challenges and opportunities for Mathematics in Data Science: the point of view of funding agencies and policy-makers” _builder_version=”4.14.2″ _module_preset=”default” title_line_height=”1.6em” width=”80%” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n The debate in this round-table will be centered around the following items:<\/p>\n (i) Programs to encourage young researchers to work on topics between Mathematics and Data Science. (video<\/a>)<\/p>\n Participants:<\/strong><\/p>\n Pilar Dellunde<\/a> (Universitat Aut\u00f3noma de Barcelona, IIIA) [\/et_pb_toggle][et_pb_toggle title=”Mathematics, Data Science and transfer: the point of view of industry ” _builder_version=”4.14.2″ _module_preset=”default” width=”80%” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n The discussion in this round-table will be focus on the following items:<\/p>\n 1. Connections between mathematics and industry. (video<\/a>)<\/p>\n Participants:<\/strong><\/p>\n Manuel Castro<\/a> (Presidente de SeMA) [\/et_pb_toggle][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.9.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_sidebar show_border=”off” _builder_version=”4.9.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_sidebar][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Round-tablesThe aims of this round table are three fold. On one side we will analyse the positioning of the international mathematical community with respect to the data driven computational mathematics by looking at the thematic evolution of the mathematical contributions oriented to the applications. Secondly, need to prospectively think and discuss about the challenges, open […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"_links":{"self":[{"href":"http:\/\/nbmds.uva.es\/wp-json\/wp\/v2\/pages\/208"}],"collection":[{"href":"http:\/\/nbmds.uva.es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/nbmds.uva.es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/nbmds.uva.es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/nbmds.uva.es\/wp-json\/wp\/v2\/comments?post=208"}],"version-history":[{"count":18,"href":"http:\/\/nbmds.uva.es\/wp-json\/wp\/v2\/pages\/208\/revisions"}],"predecessor-version":[{"id":990,"href":"http:\/\/nbmds.uva.es\/wp-json\/wp\/v2\/pages\/208\/revisions\/990"}],"wp:attachment":[{"href":"http:\/\/nbmds.uva.es\/wp-json\/wp\/v2\/media?parent=208"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
From Mathematics to Artificial intelligence: prospective strategical lines.<\/em><\/p>\n
Fully Homomorphic Encryption – end-to-end encryption everywhere.<\/em><\/p>\n
An evolutionary survey on the mathematical contributions to Artificial Intelligence: An editor perspective.<\/em><\/p>\n
Two-way bridges between mathematics and machine learning.<\/em><\/p>\n
(ii) What is the cause of the relative success of the mathematical community in transfer issues?
(iii) Use Mathematics in your business.
(iv) The demand for mathematicians by companies is higher than the supply. How to fix this (without leaving research centers and secondary schools without mathematicians)?<\/p>\n
<\/em>David G\u00f3mez-Ullate<\/a> (UCA Datalab Coordinator, vocal de la RSME)
Jes\u00fas Marco<\/a> (Vicepresidente de Investigaci\u00f3n y Ciencia y Tecnolog\u00eda del CSIC)
Enrique Play\u00e1n<\/a> (Director de la Agencia Estatal de Investigaci\u00f3n)
Luis Vega<\/a> (Chair, Coordinador de la REM)\u00a0<\/em><\/em><\/p>\n
2. How to improve mathematical transfer to business?
3. Why do so few mathematicians lead transfer contracts in data science?<\/p>\n
\u00c1lvaro Fern\u00e1ndez Velando (Head Models & Data, Santander Espa\u00f1a)
Jes\u00fas L\u00f3pez-Fidalgo<\/a> (Presidente de SEIO)
Peregrina Quintela<\/a> (Chair, Vicepresidenta de EU-MATHS-IN)
Roc\u00edo Vega (Reganosa)<\/p>\n