Conférences  >  Informatique  >  Calcul scientifique et science des données

The aim of this program is to foster the development of new mathematical tools and formalisms that will enable a new generation of ultra-scalable algorithms for a broad range of applications in computational materials science. Topics of interest will include strategies for scalable single-scale simulations, novel massively-parallel scale-bridging algorithms, and integration of extreme-scale computing into experimental and data science workflows. The program will bring together applied mathematicians, materials scientists, computer scientists, and method developers interested in unlocking the potential of upcoming exascale architectures through novel mathematical approaches.

Max Planck Institute for the Physics of Complex Systems

Systèmes complexes et chaos,    Gestion des connaissances, Big Data Computing

MIAPbP - Munich Institute for Astro-, Particle and BioPhysics

Domains such as cosmology, astrophysics, nuclear or particle physics rely heavily on the use of stochastic simulation to design data analyses and perform inference with respect to fundamental physics theories. With the advances of Deep Learning, Bayesian inference techniques, a new frontier has come into view that focuses on the extension of traditional scientific programming along the two distinct directions of differentiable programming and probabilistic programming. The former plays an important role in navigating high-dimensional spaces, while the latter can manifestly incorporate generative modeling and inference into scientific data analyses. Both promise to expand the science reach of data-intensive domains through, e.g., the integration of domain knowledge and symmetries into neural networks, algorithmic robustness, alignment of science and training optimization goals, uncertainty quantification, causal inference, and more complete inference. However, most production scientific pipelines are not yet compatible with these techniques and their widespread adoption would represent a deep change in the scientific software landscape. This program will provide the opportunity for researchers from Computer Science and Fundamental Physics to develop applications as well as strategies for integrating these paradigms into existing scientific workflows and to close the gap of what is theoretically possible and practically deployed.

Physique numérique,    Physique des hautes énergies, des particules et des champs

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Gestion des connaissances, Big Data Computing

The 11th International Conference on Isogeometric Analysis (IGA 2023) will be organized in Lyon, France, on 18-21 June 2023. IGA 2023 is a meeting place for scientists focusing on isogeometric methods : researcher developing computational methods, engineers addressing challenging applications, ... The conference is one of the thematic conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS).

Email.: https://iga2023.sciencesconf.org/

The ESCAPE-33 event is organized under the auspices of the European Federation of Chemical Engineering (EFCE Event No. 776), the CAPE Working Party (CAPE-WP), the Technical Chamber of Greece, the Pan Hellenic Association of Chemical Engineers, and the National Technical University of Athens.

ESCAPE-33 anticipates emerging and significant challenges in Process Systems Engineering as these relate to the sustainable development of chemical processes, the development and the systematic evaluation of processing technologies and process innovations, and research promoting circular economy paradigms including social aspects and social engagement networks to incentivize and involve citizens. ESCAPE 33 recognizes particular importance to industrial biotechnology as a driver and enabler for new chemistries, alongside data engineering as a technological challenge with an apparent impact on many systems technologies.

Mit dem Ziel, den Herausforderungen der Digitalisierung in der naturwissenschaftlichen Grundlagenforschung schnell und zukunftsorientiert zu begegnen und exzellente Forschung in und aus Deutschland zu fördern, legt das Bundesministerium für Bildung und Forschung (BMBF) als Teil des 2017 veröffentlichten Rahmenprogramms „Erforschung von Universum und Materie – ErUM“ den Aktionsplan ErUM-Data fest. Der Aktionsplan ErUM-Data schafft Voraussetzungen für die naturwissenschaftliche Grundlagenforschung von morgen und fördert eine koordinierte Herangehensweise und breite Verständigung. Langfristiges Ziel ist es, den Weg zu übergeordneten Lösungen zu ebnen und optimale Bedingungen für eine effiziente und finanzierbare Datenverarbeitung und -verwertung zu schaffen. Der einfache Zugang zu Daten und Werkzeugen ist eine zentrale Säule des Aktionsplans. 

Carrière et management,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

Since 2009 the Glyco-Bioinformatics Symposium aims at establishing a network of experts in glycochemistry, biology, bioinformatics and computer sciences. In addition, it provides a platform to discuss the latest outcomes presented by the MIRAGE Commission.

Unparalleled diversity and functionality of the glycome

Biologie moléculaire,    Génomique et bio-informatique

ICERM

How can quantitative science inform policy decisions? This workshop is designed to help mathematicians and data scientists leverage their expertise to contribute positively to social justice efforts ranging from small town issues to global concerns. It is intended for those interested in data science, mathematical modeling, and policy interventions. The main technical skill that the workshop will focus on is data storytelling, specifically with an eye towards policy. Data storytelling includes a mix of rhetorical and technical skills. On the technical side, these skills include data visualization, conclusion description, crafting human stories from data (example: the “middle third” technique), all done effectively and ethically, with an eye toward the audience and purpose of the communication. Participants will be exposed to other technical skills through four projects, each of which will have its own project leadership team. In advance of the workshop, participants will be asked to review the project topics and the technical skills each project is meant to develop and will be asked to rank order their group preferences. The plan over the 4-day period is broken into two days of presentations with active participation and exercises, one day of group work on a team project, and one day of presentations/feedback/next steps.

Program Staff;     Tél.: [1-401-863-5030];     Email.: programstaff@icerm.brown.edu

ICERM

In Summer 2023, ICERM hosts the second of two summer programs entitled The Social Justice and Data Science Summer Research Program. This program aims to increase interest, research training, and capacity for data science for social justice, and to develop both quantitative and qualitative approaches to those professional practices that call for community engagement, critical inquiry, and interdisciplinary cooperation. Building off of Summer 2022's program, which included a workshop on network science and analysis as well as foundational conversations with community partners, the Summer 2023 program will advance the mathematics community's understanding of the complexity of computational social justice work through three emphasis areas (1) policy, (2) education, and (3) community-driven research. As a new field emerges at the face of computational and applied mathematics and social justice, this requires new methods for working across community lines. In order to address the novel and interdisciplinary problems arising out of community needs, participants will work together to develop new or refine existing computational methods whose applications may be broader than the original problem. The organizers are committed to working with humility and in solidarity with one another and with the local community. The program will include engagement with the local community and invest in the education of the next generation of researchers by driving the development and direction of new computational methods for quantitative social justice research. Researchers with expertise and interests in using mathematical models and/or data science to examine social justice issues in policy and/or education are particularly encouraged to apply. The organizers also seek applications from researchers with specialties in digital humanities, computational social science, and data science education.

Program Staff;     Tél.: [1-401-863-5030];     Email.: programstaff@icerm.brown.edu

Mathématiques numériques,    Mathématiques appliquées (en général)

Association for Computing Machinery (ACM)

MIAPbP - Munich Institute for Astro-, Particle and BioPhysics

We are happy to announce that the Differentiable and Probabilistic Programming for Fundamental Physics program includes a three day workshop. The workshop will contain talks about recent advancements in differentiable programming (DP) and probabilistic programming in the context of Physical Sciences. The workshop's diverse set of invited speakers will cover DP/ProbProg users and experts, toolmakers and authors of promising technologies. The workshop aims to explore the potential science impact of DP/ProbProg and to understand the steps towards, and challenges of, a successful implementation of these paradigms in fundamental physics.

Physique numérique,    Physique des hautes énergies, des particules et des champs

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Cells are the fundamental building blocks of life. Recent advancement in biotechnology has allowed us to peek inside this every cell for better understanding of biology and human disease. Single-cell technology also generates big and complex data and brings about new data science challenges for computational and life scientists. The objective of this workshop is to bring together international leaders in diverse disciplines including mathematical, statistical, computational, biological and medical in a collaborative atmosphere to develop the collaborative capacity that will tackle various underlying data science challenges in single-cell research.

Biologie moléculaire,    Biologie des systèmes

National and Kapodistrian University of Athens (NKUA) and Littoral Côte d’Opale (ULCO) University in France.

The aim of this conference is to bring together researchers working in numerical analysis, scientific computation and applications. Participants will present and discuss their latest results in this area.

LMPA, ULCO, 50 rue F. Buisson, Calais France;     Tél.: [0626622981];     Email.: jbilou@univ-littoral.fr

Numerical and Multilinear Algebra, Maching Learning, Optimization, Numerical Methods and Analysis of PDEs, Approximation, Domain Decomposition methods, Inverse and Ill-posed problems for image processing, Computational Statistics.

Mathématiques numériques,    Mathématiques appliquées (en général)

Center for Theoretical Physics

We are pleased to announce our upcoming Summer School Program named PRECISE (PREcision Cosmology In the era of big-data SurvEys). The program will be held from July 3rd to July 7th, 2023, and will be oriented towards learning techniques for analysing large datasets from cosmological observations and simulations. PRECISE is designed to provide an immersive learning experience for students and early career researchers who are interested in advancing their knowledge and skills in the field of cosmology. The program will feature a wide range of activities and courses, including lectures, workshops, and hands-on projects that will allow students to gain practical experience in analysing large datasets in cosmology. Our sessions will be led by experts in the field of cosmology to deliver the lectures and guide the students through the program. The program will cover topics such as data analysis techniques, statistical methods, machine learning, and high-performance computing.

Email.: contact.precisioncosmo@cft.edu.pl

cosmology, statistics, observational datasets, simulaitons

The International Conference on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition MDA 2023 with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry, Agriculture, Drug Discovery, and System Biology is held on yearly basis.

Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Security, Agriculture, Drug Discover, and System Biology

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

In this workshop, we will explore how the research realms of generative modelling and 3D neural representations can benefit from each other, as well as explore novel applications in different areas of science and technology.

Simulation,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

Mathematical Sciences Research Institute (MSRI)

This summer school will introduce graduate students to sketching-based approaches to computational linear and multi-linear algebra. Sketching here refers to a set of techniques for compressing a matrix, to one with fewer rows, or columns, or entries, usually via various kinds of random linear maps. We will discuss matrix computations, tensor algebras, and such sketching techniques, together with their applications and analysis.

Cours et évènements pour étudiants en mathématiques,    Gestion des connaissances, Big Data Computing

Multimédia et infographie, Jeu vidéo,    Pédagogie de la science

ICERM

This workshop is designed to highlight the intersections between data science and social justice in K-16 education. The goals of this workshop are to 1) explore, and identify avenues to expand, current research on and methods for using data science in education; 2) raise awareness about research on issues of social justice in education and teaching pedagogy; and 3) work with community partners to create, evaluate and disseminate new K-16 curricular materials. The week will focus on integrating computational social justice research methods, open problems, and best practices across different levels of training. Participants will collaborate on curating professional artifacts, such as: articulating collections of open problems in data science research in social justice; compiling a collection of computational social justice research projects; and developing course modules suitable for use in K-16 education. The results of these collaborations will be shared publicly by the organizers and participants to achieve the broadest impact. While the workshop will be open to and beneficial for all researchers and educators who teach computationally focused courses, priority will be given to early-career faculty and advanced graduate students.

Program Staff;     Tél.: [1-401-863-5030];     Email.: programstaff@icerm.brown.edu

CIRM – Centre International de Rencontres Mathématiques

Scientific Machine Learning (SciML) is a relatively new research field based on both machine learning (ML) and scientific computing tools. Its aim is the development of new methods to solve several kinds of problems, which can be forward multidimensional partial differential equations, identification of parameters, or inverse problems. The methods we seek must be robust, reliable and interpretable. The new SciML tools allow the natural inclusion of data in the numerical simulation in order to generate new results.

Cours et évènements pour étudiants en mathématiques,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

The PEARC conference series is sponsored by the Association for Computing Machinery (ACM) and its HPC and Applications special interest groups (SIGAPP and SIGHPC).

The organizers of the XVI International Conference on Stochastic Programming (ICSP2022) are honored to host the tri-annual Conference at the University of California, Davis Graduate School of Management. The ICSP is the premier event of the Stochastic Programming Society (SPS) , a technical session of the Mathematical Optimization Society that brings together researchers who work on decisions under uncertainty, practitioners in the industrial and institutional sectors share recent theoretical and applied results. The conference aims to present the state-of-the-art in this field as well as neighboring scientific areas.

Mit dem Ziel, den Herausforderungen der Digitalisierung in der naturwissenschaftlichen Grundlagenforschung schnell und zukunftsorientiert zu begegnen und exzellente Forschung in und aus Deutschland zu fördern, legt das Bundesministerium für Bildung und Forschung (BMBF) als Teil des 2017 veröffentlichten Rahmenprogramms „Erforschung von Universum und Materie – ErUM“ den Aktionsplan ErUM-Data fest. Der Aktionsplan ErUM-Data schafft Voraussetzungen für die naturwissenschaftliche Grundlagenforschung von morgen und fördert eine koordinierte Herangehensweise und breite Verständigung. Langfristiges Ziel ist es, den Weg zu übergeordneten Lösungen zu ebnen und optimale Bedingungen für eine effiziente und finanzierbare Datenverarbeitung und -verwertung zu schaffen. Der einfache Zugang zu Daten und Werkzeugen ist eine zentrale Säule des Aktionsplans. 

Carrière et management,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

Open Data Science Conference

Over the course of 2 days, ODSC APAC will provide expert-led instruction in machine learning, deep learning, NLP, MLOps, and more through immersive workshops and tutorials, and talks. You’ll also have the chance to share insights and build new connections through networking events like Lightning Talks and Open Spaces.

Email.: iryna@odsc.om

Data Science, Machine Learning, Deep Learning, NLP

SEIT Lab, Department of Computer Science, University of Cyprus

Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects. We invite participants to submit original and unpublished works as posters and/or demos to the Euro-Par 2023 conference presenting the latest breakthroughs which have been developed in H2020, Horizon Europe, EuroHPC JU, national, regional and international R&D projects. Topics of interest should cover the conference scope and tracks (please visit the conference web site for more information about the topics covered by Euro-Par). The poster/demo sessions will provide an excellent opportunity for students and researchers to present early- stage research results and receive valuable feedback on their ongoing research from the community.

Tél.: [+35722892693];     Email.: george@ucy.ac.cy

Calcul distribué, cloud computing, informatique en périphérie,    Superordinateur et ordinateur parallèle

The heterogeneous near surface consists of the complex interactions between rock, soil, water, air, and living organisms, which determine the availability of life-sustaining resources such as water. This environment has been increasingly exploited for human needs, such as water supply, to store our waste and food production. To assess the environmental risk associated with such exploitation and exploration, the near surface has to be investigated and characterized with high resolution methods to enhance our understanding of e.g., hydrological and biogeochemical processes. In this presentation, we will focus on the potential of ground penetrating radar (GPR) to investigate small-scale processes and to enhanced the reconstruction of the subsurface properties. GPR can be applied to a wide range of applications to solve geological, hydrogeophysical, permafrost and civil engineering questions, to name just a few examples. Especially, the GPR full-waveform inversion (FWI) demonstrated in the last decade the benefits of an improved high-resolution method to assess geological, hydrological, and biogeochemical subsurface properties and related processes. This presentation will emphasize the recent developments and applications that we accomplished in the last years using novel GPR algorithms ranging from large-scale high resolution aquifer characterization, investigation of flow and transport processes and agricultural management. These examples demonstrate the significant role that GPR and the FWI can have to enhance our near surface characterization to support management decisions.

Géophysique et géologie,    Métrologie et instrumentation

Taylor’s University, Malaysia

ICDSAIA-2023 provides a unique platform for researchers and practitioners to share their insights, experiences, and challenges in utilizing data science, AI, and analytics to tackle real-world problems. The conference covers a wide range of topics including but not limited to machine learning, natural language processing, computer vision, big data analytics, predictive modeling, data visualization, and ethical considerations in data-driven decision making.

Program Manager;     Tél.: [+91 73054 77495];     Email.: info@icdsaia.com

Artificial intelligence, Data Science, Analytics

Mit dem Ziel, den Herausforderungen der Digitalisierung in der naturwissenschaftlichen Grundlagenforschung schnell und zukunftsorientiert zu begegnen und exzellente Forschung in und aus Deutschland zu fördern, legt das Bundesministerium für Bildung und Forschung (BMBF) als Teil des 2017 veröffentlichten Rahmenprogramms „Erforschung von Universum und Materie – ErUM“ den Aktionsplan ErUM-Data fest. Der Aktionsplan ErUM-Data schafft Voraussetzungen für die naturwissenschaftliche Grundlagenforschung von morgen und fördert eine koordinierte Herangehensweise und breite Verständigung. Langfristiges Ziel ist es, den Weg zu übergeordneten Lösungen zu ebnen und optimale Bedingungen für eine effiziente und finanzierbare Datenverarbeitung und -verwertung zu schaffen. Der einfache Zugang zu Daten und Werkzeugen ist eine zentrale Säule des Aktionsplans. 

Carrière et management,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

While Full Waveform Inversion (FWI) has made giant strides recently for deep water subsurface imaging, the technology is lagging significantly for land and shallow water applications. Noise — whether ambient or source related — is clearly an issue, especially for the low frequencies that are so critical for successful implementation. Perhaps more problematic is the need to construct an accurate high-resolution model of the near surface. Depending on the terrain, the near surface can have large velocity contrasts, high anisotropy, high attenuation, significant heterogeneities leading to scattering, and strong multiple generators. A proper model of the near surface needs to be possibly viscoelastic and requires a fine computational grid to handle the ultra-low elastic velocities we encounter in the near surface, which may be a challenge for today’s computer capacity. To make matters worse, the near surface is often ill-sampled by cost effective 3D acquisition designs. Despite all these hurdles we are starting to see some beneficial FWI applications to land and shallow water surveys. How important are data conditioning, wavelet estimation, and the choice of the initial model? Do we have to move to elastic FWI? Can ground roll, mud roll, and multiples help rather than hinder the process? Do we need to design our surveys differently? Can we use other complementary data? What do we do with all the scattering noise? What is the role of machine learning (ML)? Is there room for improvement in acquisition? The goal of this workshop is to review the state-of-the art and investigate the next key steps to address some of these questions. Even though FWI is a potentially “complete model” of complex wave propagation, is the problem currently too difficult and too expensive that it needs help in the form of data conditioning and model conditioning? If so, what type of data conditioning and modeling conditioning?

Géophysique et géologie,    Métrologie et instrumentation

National Institute for Research and Development of Isotopic and Molecular Technologies INCDTIM Cluj-Napoca

The ICASC 2023 conference continues the series of the former 14 annual events of the Romanian LCG Federation (RO-LCG) on “Grid, Cloud and High-Performance Computing in Science“ (2007-2022). Its title has been changed and the topics have been expanded to offer a more comprehensive coverage of the current evolution in scientific computing.

ICASC 2023 is devoted to recent developments on the application of advanced computing technologies and methods in physics research and related areas. The conference is addressed to specialists with various backgrounds of expertise, such as computer scientists and researchers in numerical methods, developers and users of software applications, quantum computing, providers and beneficiaries of data-intensive services, data center administrators.

Email.: icasc@itim-cj.ro

Grid Cloud and HPC computing in research, economy and business, Grid and applications, including eScience and eBusiness, Quantum Computing, Embedded and Pervasive Computing E-infrastructures for collaborative research, National contributions to the computational support of large-scale collaborations, Software and services for distributed computing infrastructures, Numerical methods for physics, Development and optimization of software applications in Grid/Cloud/HPC and Quantum environments, Applications of machine learning methods in scientific research, Monitoring, management and data organization tools, Middleware, resource management, and runtime environments, Processing and analysis of data in computational physics/chemistry/biology, Distributed multimedia analysis and processing, Multi-core and cluster computing

Calcul distribué, cloud computing, informatique en périphérie,    Théorie de l'information quantique et informatique quantique

The International Science Council’s Committee on Data (CODATA) and World Data System (WDS), and the Research Data Alliance (RDA)

International Data Week brings together a global community of data scientists and data stewards; researchers from all domains; data, interoperability and informatics experts from all fields; industry leaders, entrepreneurs and policymakers.

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

What could be a bigger source of "big data" than the entire Universe? Researchers in statistics and computer science are developing new methods to analyse the "big data" that companies and governments want to understand. To test out these methods they need big datasets that everyone can share --- and new astronomical telescopes just happen to be gearing up to generate observations of billions of stars and galaxies that fit the bill. Insights from statistics will help astrophysicists to get the most out of these observations. The Astrostatistics 2023 workshop will bring together statisticians and astrophysicists to learn the technical languages of the two fields and identify how to work together to combine the excitement of space with big data.

Astronomie, astrophysique et cosmologie,    Statistique, Théorie des jeux

Extreme computing plays a major role in our energy business. Looking across multiple industries, our business undoubtedly exploits the largest high-performance computing (HPC) capacity. Extreme computational simulations and data analytics enable high productivity by making better use of huge amounts of data. Although computational capability is accelerating, we have yet to see how extreme its effects are on pushing upstream to transform its business model. Therefore, algorithms, relating to big data, AI, IoT, HPC and cloud computing, performing and scaling as best as possible, on the latest computing platforms, will have a direct impact on many of the decisions reshaping our industry. The workshop will enable all participants to get acquainted with the very latest advances in HPC architectures and how these may be applied in geoscience applications used in the oil and gas industry and energy transition.

Pétrochimie, industrie pétrochimique,    Superordinateur et ordinateur parallèle

The Minerals, Metals & Materials Society (TMS)

The 3rd World Congress on High Entropy Alloys (HEA 2023) is a cross-disciplinary technical forum designed to share the latest research advances in single-phase and multiphase metallic, intermetallic, and ceramic high entropy materials for functional or structural applications. HEA 2023 will feature highly focused technical talks on topics that include, but are not limited to, fundamental theory of alloy design, computational modeling and simulation, properties, processing, and applications of high entropy alloys.

Métallurgie et science des matériaux,    Physique appliquée (en general)

CIRM – Centre International de Rencontres Mathématiques

Simulation,    Physique numérique

Differential equations are at the forefront of modeling real-world systems and applications arising from different fields of science and engineering. This SEAMS school brings together experts in numerical analysis and scientific computing to give introductory lectures on recent numerical techniques in solving ordinary and partial differential equations, and their applications. These lectures are intended for graduate students and early-career mathematicians from the Philippines and neighboring countries. The school will be composed of lecture series and hands-on computational exercises.

Cours et évènements pour étudiants en mathématiques,    Calcul infinitésimal, équations différentielles et intégrales

Institute of Mathematical Statistics (IMS)

The objective of ICSDS is to bring together researchers in statistics and data science from academia, industry, and government in a stimulating setting to exchange ideas on the developments of modern statistics, machine learning, and broadly defined theory, methods, and applications in data science.

CIRM – Centre International de Rencontres Mathématiques

Gestion des connaissances, Big Data Computing,    Réseaux sociaux et aspects sociaux des technologies de l'information

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Cours et évènements pour étudiants en mathématiques,    Réseaux complexes

ICMS - International Centre for Mathematical Sciences

This workshop will gather researchers from the intersecting fields of inverse problems, uncertainty quantification, data analytics, machine learning, and related areas to discuss novel theory and new methods for big data challenges. A focused multifaceted research group gathered at one location is an excellent opportunity for established and early career researchers. The aim of this workshop is to foster a diverse, open, and friendly environment to advance this field, open new directions, and to stimulate new collaboration.

Gestion des connaissances, Big Data Computing,    Mathématiques appliquées (en général)

The International Centre for Mathematical Sciences (ICMS)

This workshop will gather researchers from the intersecting fields of inverse problems, uncertainty quantification, data analytics, machine learning, and related areas to discuss novel theory and new methods for big data challenges. A focused multifaceted research group gathered at one location is an excellent opportunity for established and early career researchers. The aim of this workshop is to foster a diverse, open, and friendly environment to advance this field, open new directions, and to stimulate new collaboration. 

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Cours et évènements pour étudiants en mathématiques,    Histoire et philosophie de la science

CEA, Alternative Energies and Atomic Energy Commission

In addition to promoting the advances in the traditional topics of the conference, encompassing super-computing for nuclear applications and Monte Carlo simulation, SNA + MC2024 will also emphasize novel subjects with strong scientific, technological and societal stakes: the recent breakthroughs in High Performance Computing, environmental issues and energy transition.

Energie nucléaire,    Superordinateur et ordinateur parallèle

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Cours et évènements pour étudiants en mathématiques,    Calcul infinitésimal, équations différentielles et intégrales