Conférences - Calcul scientifique et science des données

BPS - The Biophysical Society

The Fields Institute

Calcul infinitésimal, équations différentielles et intégrales,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

HBP Education Programme

The EBRAINS Brain Simulation School 2022 aims at introducing the participants to the latest achievements and innovations of the digital infrastructure for brain research EBRAINS, created by the Human Brain Project. The School will offer tutorials on EBRAINS Tools and eServices. The students will be presented with the overview of the EBRAINS research platform, discussed by the leaders of the Human Brain Project, and gain practical skills in using EBRAINS resources to implement cellular and network level computational models, to use EBRAINS Computing Services configure and run simulations, and to visualise/analyse the results. Through tutorials, interactive sessions and hands-on activities, attendees will learn how to interact with EBRAINS to carry out their own research, to set up and manage a data-driven collaborative project, or to use the EBRAINS platform to interact with internal and external databases.

The target audience of this school are advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to the neuroinformatics and computational neuroscience tools available in the EBRAINS Infrastructure. The event is limited to 40 participants.

Neurologie,    Superordinateur et ordinateur parallèle

The congress is hosted by the Norwegian University of Science and Technology (NTNU), together with SINTEF and the Nordic Association for Computational Mechanics in Engineering (NOACM).

Physique numérique,    Mathématiques appliquées (en général)

The Royal Society

The development of advanced materials is of central importance in key scientific and industrial areas, including energy, catalysis and quantum technologies. High end computing and data science offer unprecedented opportunities for predictive modelling of complex materials. The meeting will explore the scientific and methodological challenges in the field, focusing on structure prediction, nucleation and crystal growth, biomaterials and catalysis.

Physique de la matière condensée et des matériaux,    Physique numérique

American Statistical Association

SDSS 2022 will offer many occasions to learn about new data tools and methodologies, see data science in action, and network with experts.

Beyond Big Data: Influencing Science, Technology, and Society

HBP Education Programme

The HBP and EBRAINS invite interested scientists to join the forthcoming EBRAINS Workshop on Brain Activities across Scales and Species. The study of brain rhythms and of spatio-temporal patterns of brain activation is an important test-bench for understanding connectivity and the mechanisms that determine cognitive systems in mammals. The large variety of available experimental protocols and measurement techniques enable researchers to investigate new scientific questions. In addition, the input from experimental observations is used to design theoretical models able to emulate brain dynamics and cognitive mechanisms in in-silico experiments. The goal of the BASSES Workshop (Brain Activity across Scales and Species: analysis of Experiments and Simulations) is to provide an overview of the scientific topic of brain states and complexity, state transitions, and their connection with cognitive functions, and to demonstrate the achievements in this field obtained within the Human Brain Project thanks to the functionalities provided by the EBRAINS research platforms. Lectures will showcase the latest advancements in analysis strategies and whole-brain modelling tools. Hands-On Sessions will allow the participants to be actively engaged and test the EBRAINS functionalities for data storage, curation, analysis, and modelling. BASSES will allow people with different expertises, from experimental and theoretical neuroscientists to computer scientists, to share results and ideas and connect into a wider community.

Open Data Science Conference (ODSC)

Let’s reconnect at ODSC Europe 2022 June 15th - 16th in London, UK. Come see for yourself the future of data science as ODSC while reconnecting with the community and networking with leading minds.

Email.: jay.h@odsc.com

data science, artificial intelligence, machine learning, deep learning, NLP

Open Data Science Conference (ODSC)

We are very excited to host you at ODSC Europe 2022’s AI Solutions Showcase Expo this June. You will have an opportunity to chat with HPCC Systems, Microsoft, Iguazio, Red Hat, SAS, Appen, Run:AI, Cloudera, DataBricks, Neo4j, iMerit, Seldon, MIT and more.

Email.: iryna@odsc.com

Machine Learning & Deep Learning Platforms - MLOps & Data Infrastructure - Data Annotation & Data Labeling - Data Analytics & Decision Intelligence Systems - Machine Learning on the Cloud & Big Data

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

Cours et évènements pour étudiants en mathématiques,    Mathématiques appliquées (en général)

Santa Fe Institute (SFI)

The Graduate Workshop in Computational Social Science Modeling and Complexity brings together a group of advanced Ph.D. students and a small faculty for an intensive two-week study of computational social science modeling and complexity. Participants will learn how to apply tools and approaches from complex systems and computation to questions in the social sciences, while advancing their independent research and working collaboratively with fellow participants. The Workshop convenes in-person and consists of seminars, independent research, formal and informal discussions, and a hackathon-style challenge.

Sociologie,    Evénement multidisciplinaires ou générales en informatique

PASC is a structuring project supported by the Council of Federal Institutes of Technology (ETH Board), coordinated by the Università della Svizzera italiana (USI) and the Swiss National Supercomputing Centre (ETH Zurich / CSCS).

The PASC Conference series is an international and interdisciplinary platform for the exchange of knowledge in scientific computing and computational science with a strong focus on methods, tools, algorithms, application challenges, and novel techniques and usage of high performance computing. Papers accepted for PASC22 will be presented as talks, and published in the Proceedings of the PASC Conference, accessible via the ACM Digital Library. A selection of the highest quality papers may be given the opportunity of a plenary presentation. In selecting papers for plenary presentation, the Papers Committee will place particular weight on impact, interdisciplinarity and interest to a broad audience.

Event Secretariat;     Email.: info@pasc-conference.org

High Performance, Computing, Machine Learning, Data Science, Chemistry and Materials, Life Sciences, Physics, Climate and Weather, Solid Earth Dynamics, Engineering, Computer Science and Applied Mathematics, Emerging Application Domains

Revolutionary. Disruptive. Game-changing. These terms describe the technologies that have helped us extend our research and our horizons, even in the midst of unprecedented challenges. They describe the dramatic changes that make up the current state of computer science, high performance computing, and cyberinfrastructure. This year’s theme, Revolutionary: Computing, Connections, You, acknowledges rapid shifts that have become a constant in the field of advanced computing; the PEARC community’s role in creating new, state-of-the-art methods; and our imperative, as individuals, to achieve an ethical and connected computing future.

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

Far Eastern Federal University, Amur State University

The International Workshop on Computing Technologies and Applied Mathematics (CTAM 2022) provides a forum for experts and researchers to exchange original results and valuable ideas in different aspects of using computing technologies and advanced methods of applied mathematics in science and engineering. The scope of CTAM 2022 covers aspects of various types of mathematical modeling and computer simulation (deterministic, stochastic, continuous, discrete, or hybrid based on differential equations of various types, automata, Petri nets, fuzzy logic, machine learning) for complex systems of different nature. A particular emphasis will be put on applications of optimization for large, nonsmooth, nonconvex, and other complex systems. Discussion talks that critically evaluate computing approaches, data processing strategies, software- and hardware applications in related fields are also welcome. All Workshop papers will be double-blind peer-reviewed by two expert reviewers.

Tél.: [+79638168419];     Email.: ctam@amursu.ru

computing technologies, applied mathematics, mathematical modeling, computer simulation, optimization, data processing, scientific computing.

Simulation,    Mathématiques numériques

Santa Fe Institute (SFI)

The Foundations and Applications of Humanities Analytics (FAHA) workshop is intended for humanities scholars who are in the early stages of applying quantitative and computational methods in their research. While primarily geared towards current PhD students, we welcome applications from those in both earlier and later stages of a research career. The residential, one-week workshop empowers scholars to apply computational tools in their own research and teaching. Participants must complete the FAHA online course prior to the workshop. The in-person workshop will seminars and tutorials, discussions, and the opportunity to workshop one’s research projects, with the guidance of program faculty. The small, supportive group of fellow participants provide a scholarly community with whom to learn and collaborate on novel humanities analytics projects.

Sociologie,    Evénement multidisciplinaires ou générales en informatique

Société de l'électricité, de l'électronique et des technologies de l'information et de la communication (SEE)

MaxEnt’22 strives to present Bayesian inference and Maximum Entropy methods in data analysis, information processing and inverse problems from a broad range of diverse disciplines: Astronomy and Astrophysics, Geophysics, Medical Imaging, Molecular Imaging and genomics, Non Destructive Evaluation, Particle and Quantum Physics, Physical and Chemical Measurement Techniques, Economics and Econometrics. This year special interest will be on Geometric Structures of Heat, Information and Entropy.

Calcul infinitésimal, équations différentielles et intégrales,    Mathématiques appliquées (en général)

VSB – Technical University of Ostrava | Institute of Mathematics of the Czech Academy of Sciences | Technical University in Prague

The purpose of the meeting is to discuss recent developments in various aspects of domain decomposition methods bringing together mathematicians, computational scientists and engineers who are working on numerical analysis, scientific computing, high performance computing, and computational science with industrial applications.

Mathématiques appliquées (en général),    Mathématiques numériques

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

Physique mathématique,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

Physique numérique,    Mathématiques appliquées (en général)

FLoC 2022

The ITP conference series is concerned with all aspects of interactive theorem proving, ranging from theoretical foundations to implementation aspects and applications in program verification, security, and the formalization of mathematics. ITP 2022 is the thirteenth conference on Interactive Theorem Proving. It will be part of the Federated Logic Conference (FLoC). It will take place in Haifa, Israel, July 31 – August 12, 2022.

Logique mathématique et fondements,    Démonstration automatique de théorèmes

Michigan Technological University

The primary focus of the proposed parallel-in-time workshop is to educate and inspire researchers and students in new and innovative numerical techniques for the parallel-in-time solution of large-scale evolution problems on modern supercomputing architectures, and to stimulate further studies in their analysis and applications. This workshop aligns with the National Strategic Computing Initiative (NSCI) objective: “increase coherence between technology for modeling/simulation and data analytics”. The conference will feature ten lectures by Professor Gander, an expert in parallel time integration. Using appropriate mathematical methodologies from the theory of partial differential equations in a functional analytic setting, numerical discretizations, integration techniques, and convergence analyses of these iterative methods, conference participants will be exposed to the numerical analysis of parallel-in-time methodologies and their implementations. The proposed topics include multiple shooting type methods, waveform relaxation methods, time-multigrid methods, and direct time-parallel methods. These lectures will be accessible to a wide audience from a broad range of disciplines, including mathematics, computer science and engineering.

The IEEE Nuclear and Plasma Sciences Society (NPSS) and its technical committee, Computer Applications in Nuclear and Plasma Sciences (CANPS) are pleased to announce the 23rd Real Time Conference. RT2022 is an interdisciplinary conference focusing on the latest developments in real time computing, data acquisition, transport and processing techniques in related fields including: nuclear and particle physics, nuclear fusion and plasma science, medical physics and imaging, astrophysics and space instrumentation as well as accelerators and control systems.

Physique des plasmas, fusion nucléaire,    Superordinateur et ordinateur parallèle

ICBDR is supported by Shandong University, China, Shanghai Maritime University, China, Tokai University, Japan, Osaka Prefecture University, Japan, EISTI, France, Naval Academy Research Institute, France

The 6th International Conference on Big Data Research(ICBDR 2022) will be held in Harbin, China during Aug. 10-12, 2022. Big data research is now well established as very diverse and pluri-disciplinary research area whose objective is to deal with massive and heterogeneous datasets and that are too large to be manipulated by conventional modelling and most current computational approaches. Clearly, big data challenges should require novel approaches and success stories should be shared, this favoring exchanges, cross-fertilization and finally advances as well as futur research directions to consider.

Tél.: [+86 138 8010 4517];     Email.: Nazal@sina.com

Big Data Models and Algorithms; Big Data Architectures; Big Data Security and Privacy; Big Data in Smart Cities; Big Data Search, Mining, and Visualization;

ISMP is the triennial international congress of mathematical optimization and organized by the Mathematical Optimization Society (MOS). The 24th ISMP will be convened in Beijing and locally organized by the Operations Research Society of China (ORSC).

Statistique, Théorie des jeux,    Cours et évènements pour étudiants en mathématiques

Department of Mathematics, Faculty of Science, University of Zagreb

The aim of the conference is the exchange of ideas, methods and problems between various disciplines of applied mathematics. Non mathematicians using mathematics as a tool are also encouraged to take part in the conference.

Mathematical methods in continuum mechanics, Numerical linear algebra, Scientific computing, Ordinary and partial differential equations, integral equations, singular perturbation problems, Numerical mathematics in general, Optimization, Engineering

The goal of this long program proposal is to bring together senior and junior applied mathematicians, physicists, chemists, materials scientists, engineers and biologists to discuss and debate on the current status and future perspectives of modern microscopy using computation, mathematics and modeling. Cryo-EM has revolutionized biology and life science (including very recently solving the 3D atomic structure of COVID-19, which has been greatly facilitating the development of the vaccines) and aberration-corrected electron optics and high brightness X-ray sources have transformed physical science imaging. The next steps in these fields will advance by orders of magnitude the temporal resolution and energy resolution, while maintaining atomic spatial resolution, in a variety of sample environments from near zero Kelvin in vacuum to temperatures of a thousand degrees in a highly corrosive atmosphere. These advances will transform research in macromolecules, materials, energy technologie

Mathématiques appliquées (en général),    Microscopie

Institute of Mathematics and its Applications

The 4th IMA Conference on The Mathematical Challenges of Big Data is issuing a Call for Papers for both contributed talks and posters. Mathematical foundations of data science and its ongoing challenges are rapidly growing fields, encompassing areas such as: network science, machine learning, modelling, information theory, deep and reinforcement learning, applied probability and random matrix theory. Applying deeper mathematics to data is changing the way we understand the environment, health, technology, quantitative humanities, the natural sciences, and beyond ‐ with increasing roles in society and industry. This conference brings together researchers and practitioners to highlight key developments in the state‐of‐the art and find common ground where theory and practice meet, to shape future directions and maximize impact. We particularly welcome talks aimed to inform on recent developments in theory or methodology that may have applied consequences, as well as reports of diverse applications that have led to interesting successes or uncovered new challenges.

Email.: conferences@ima.org.uk

Society of Exploration Geophysicists (SEG)

In the last few years, our industry has made significant progress in adoption of computational sciences to create fundamentally transformative ways of working. As we continue this journey, this workshop will provide a platform for industry professionals and academia to share their knowledge and experiences on application of new technology for subsurface characterization and reservoir development. We aim to put up a programme covering the insights from successes of the applications to pitfalls as well as anticipated advances that impact our approach toward exploration, development and production.

Géophysique et géologie,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

Lake Como School of Advanced Studies

Gestion des connaissances, Big Data Computing,    Evènements pour étudiants en informatique

Mathématiques appliquées (en général),    Théorie de l'information, fondations de l'informatique

Society of Exploration Geophysicists (SEG)

The objective of the upcoming 2022 workshop is to share new insights and methods as well as addressing persistent challenges including: acquisition design limitations, waveform inversion, amplitude integrity, high-resolution near-surface modeling, and maximizing the integration of seismic and non-seismic data. In addition, it aims to leverage the advancements of digital transformation and sustainability as it applies to the near surface.

Géophysique et géologie,    Simulation

Technical University of Munich

The second international workshop on Mathematical Modeling and Scientific Computing (MMSC) dedicated to the memory of Nikolai Botkin (22.03.1956-14.09.2019) will be held from October 4th to 7th, 2022, at the Technical University of Munich. Nikolai Botkin made a significant contribution to the creation and mathematical analysis of mathematical models, the development of numerical methods and algorithms for optimal control of ordinary and distributed systems, elasticity theory, hydrodynamics, thermodynamics, and homogenization theory. The first workshop (November 19-20, 2020) was organized by the Technical University of Munich and approved by the DFG. It was held online because of Covid-19 situation.

The objective of the event is to create an interdisciplinary workshop, which brings together international experts working on mathematical models from various fields. These fields include control theory, material science, medicine, and aerospace, to name a few. Despite the different applications of mathematical models, the underlying concepts related to the modelling of complex processes and systems share many common features. The same holds for the application of scientific computing methods for the numerical implementation of the mathematical models. These methods nowadays constitute an integral part of the research task in applied fields. Topics such as parallel computing on high performance computer systems and the use of shared memory architectures are vital e.g. for the solution of partial differential equations arising in various fields. Rapidly developing technologies like machine learning methods became indispensable in data analysis. It is believed that bringing together experts from different fields will lead to new innovative ideas and create synergies between the scientific research topics.

Email.: turova@ma.tum.de

Mathematical and computer modeling of physical and biological processes, Optimization, control and numerical methods for ODEs and PDEs, Computer technologies and data analysis in engineering and bioinformatics, High performance scientific computing for physical and biomedical applications

Simulation,    Mathématiques numériques

Institut Henri Poincaré (IHP)

Statistique, Théorie des jeux,    Géométrie et topologie

Developing multi-dimensional electron microscopy would have transformative impact in physics, chemistry, materials science, nanoscience and other fields. Advancing the field requires integration of state-of-the-art atomic electron tomography, ptychography, 4D scanning transmission electron microscopy and spectroscopic techniques as well as powerful computational algorithms and mathematical modeling. This workshop will provide the opportunity to present and exchange ideas, share data, and introduce new tools and develop new imaging paradigms needed in a variety of fields.

Mathématiques appliquées (en général),    Microscopie

Institut Henri Poincaré (IHP)

Présentation de logiciels

Mathématiques appliquées (en général),    Logiciels

Our world is changing rapidly. Complex challenges are suddenly arising alongside an urgent demand for answers. Leveraging HPC, skilled minds employ innovative technologies to respond to the call — driven by data, simulating possibilities, and unlocking new solutions. By harnessing the power of HPC, the SC community is unleashing a deeper understanding of our world at an unprecedented pace.

The implementation of advanced algorithms with user-friendly software packages has made the cryo-EM method straightforward in practice. Despite these exciting advances, major challenges still remain, such as higher throughput, mapping continuous deformations, reconstruction of small macromolecules, and in sample preparation. For pleomorphic structures, cryo-electron tomography (cryo-ET) is the method of choice, but it is typically limited to lower resolution compared to cryo-EM, and it remains a daunting challenge to determine macromolecular structures in situ at high resolution. Overcoming these major challenges in cryo-EM and cryo-ET requires significant advances in sample preparation, hardware development and computational algorithms. The goal of this workshop is to bring together leading experts in cryo-EM, biologists, applied mathematicians and physicists to discuss and debate the current challenges and future perspectives of this very exciting cross-disciplinary field.

Mathématiques appliquées (en général),    Microscopie

Society for Industrial and Applied Mathematics (SIAM)

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.

UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)

This conference aims to explore the application of data-driven tools to learn about galaxy formation physics. It endeavors to maximize the gain from astrostatistics, data science, and machine learning for the galaxy formation field as a whole, by emphasizing the translation of data-driven results to physical understanding. This conference will focus on a sharing of expertise in data exploration and analysis tools, and an open discussion of how these may teach us about the physics of galaxy formation and evolution.

Institute for Pure and Applied Mathematics, UCLA.

Quantitatively predicting the properties of “real” structural materials is an extremely challenging endeavor, as macroscale properties depend on characteristics of the material at every scale, from nanometers (short range order, point defects, etc.), to micrometers (grain size, extended defects, etc.), to centimeters (texture, etc.). Similarly, relevant timescales range from atomic vibrations (picoseconds) to microstructural evolution times (hours to years). This extreme breadth of size and time scales makes the accurate simulations with fully-resolved atomic-scale tools (e.g., molecular dynamics) hopeless. Practical solutions must therefore rely on scale-bridging approaches that systematically upscale the lower scale physics into computationally tractable higher-scale constructs. The premise of this workshop is that extreme-scale computing can breathe new life into the field of multiscale modeling by addressing the problems identified above with brute force computing. This workshop will focus on new mathematical approaches to multiscale/multiphysics modeling, with a particular emphasis on the many theoretical and numerical challenges faced at the exascale. The goal is to bring together specialists in a range of massively parallel algorithms and researchers interested in improving the scalability of current techniques.

Part of the Long Program New Mathematics for the Exascale: Applications to Materials Science, Integration of direct simulations, online data analysis, and experimental data. Mathematical methods for data assimilation. Large-scale inverse problems. Computation-aided online experimental design at massive scales. Active exploration of chemical space using massive quantum calculations. Workflow infrastructure. Integration of numerically-intensive calculations with ML/data-science at scale.

Physique de la matière condensée et des matériaux,    Physique numérique

Institute for Pure and Applied Mathematics (IPAM)

One of the key changes in the landscape of high-performance computing in materials science in the last decade is the explosion of high-throughput applications where massive amounts of relatively small quantum calculations fuel the rapid exploration of the chemical space of materials. Such high throughput workflows are prime candidates for the efficient exploitation of exascale resources. This workshop proposes to build on these early successes and to take the next logical step by exploring the challenges and opportunities associated with integrating massive-scale compute-intensive simulations into a wider range of complex scientific workflows. The underlying goal is to identify and explore opportunities to maximize the impact of large-scale computing by improving its integration with various aspects of the scientific enterprise. This workshop will aim at developing new mathematical and computational approaches that enable the inclusion of massive-scale computing into complex scientific workflows.

Part of the Long Program New Mathematics for the Exascale: Applications to Materials Science, Integration of direct simulations, online data analysis, and experimental data. Mathematical methods for data assimilation. Large-scale inverse problems. Computation-aided online experimental design at massive scales. Active exploration of chemical space using massive quantum calculations. Workflow infrastructure. Integration of numerically-intensive calculations with ML/data-science at scale.

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.