Conferences and Meetings on Scientific Computing

The objective of the Winter School is to expose the audience to modern topics on Data Science, Optimization and Operations Research. Every year, two prominent researchers (Angelia Nedich and Marco Cuturi this year) are invited to provide tutorials on selected topics, and to discuss some of their recent research with the students. Designed for doctoral education, the course is open to academic researchers (professors, researchers, PhD students) and professionals (from industry and public authorities), interested in optimization and operations research. The course is organized by Daniel Kuhn, Risk Analytics and Optimization Chair (RAO), École polytechnique fédérale de Lausanne (EPFL). It takes place in Zinal, a ski resort in the Swiss Alps. The special environment triggers a specific atmosphere that encourages scientific and personal exchanges among the participants. In addition to the lectures, workshops will be organized every day where the students will have the opportunity to work on recent papers of the invited lecturers, under their guidance.

Courses and Events for Math Students and Early Career Researchers,    Operational research

Society of Exploration Geophysicists (SEG)

This workshop is designed to showcase the successes and challenges of practising machine learning and data analytics in the geoscience domain to improve accuracy and efficiency of algorithms and/or workflows. For example, in addition to existing applications such as seismic geobody identification and well log data analysis, what other challenging geoscience problems can be formulated and solved effectively by machine learning? How can machine learning algorithms and workflows be tailored to meet the specific physical constraints of geoscience data? How can we fully exploit the power of machine learning and physics-based approaches?

CZES-nd

The previous editions of ICCDA were held in Florida Polytechnic University, Lakeland, Northern Illinois University (NIU) DeKalb, University of Hawaii Maui College, Kahului, Silicon Valley, USA. ICCDA 2022 conference will be located in Sanya, China during Feb. 18-20, 2021.

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

Mathematical, probabilistic and statistical models and theories; Machine learning theories, models and systems; Knowledge discovery theories, models and systems; Manifold and metric learning; Deep learning; Scalable analysis and learning; Non-iidness learning; Heterogeneous data/information integration; Data pre-processing, sampling and reduction; Dimensionality reduction; Feature selection, transformation and construction; Large scale optimization; High performance computing for data analytics; Architecture, management and process for data science;

The SIAM Conference on Parallel Processing for Scientific Computing is sponsored by the SIAM Activity Group on Supercomputing.

VIB

Bioinformatics has quickly become an integral part of life sciences research by enabling innovative computational approaches in an increasingly data-dense environment. Inspired by the sold-out editions in 2016, 2018, and 2020, VIB (a non-profit life sciences research institute) is organizing this fourth edition to highlight recent developments in bioinformatics research, and to showcase its impact in medical, agricultural, and biotechnological research. Nationally and internationally renowned speakers will present recent scientific findings in applied bioinformatics.

Besides an inspiring scientific program, conference participants will have ample networking opportunities during poster sessions and the conference dinner.

VIB Conferences;     Phone: [+32 9 244 66 11];     Email: conferences@vib.be

big data, bioinformatics, machine learning, imaging, artificial intelligence, computational biology, data mining and analysis

Systems Biology and Computational Biology,    Genomics and Bioinformatics

The SAMO conference is devoted to advances in research on sensitivity analysis methods and their interdisciplinary applications. The SAMO conferences are held every three years. The aim of the SAMO conferences is to bring together users of sensitivity analysis in all disciplines of science. Sensitivity analysis methods are powerful tools in physics, operations research, chemistry, biology, engineering, environmental science, nuclear and industrial safety, economics and finance.

Probability and Statistics, Game Theory,    Modeling and Simulation

Massive spectroscopic datasets, in the form of IFU datacubes and large surveys consisting of thousands of spectra, have begun to stream into archives on a daily basis, and will soon include observations from NIRSpec and MIRI aboard JWST. Creating and testing spectroscopic analysis tools can be expensive to astronomers, requiring large amounts of development time for a task that may have already been developed elsewhere in the scientific community. We present the Space Telescope Science Institute’s Spring 2022 Science Workshop, dedicated to discussing what tools astronomers currently use to analyze large numbers of complex spectroscopic data in AGN and star-forming galaxies and how users can apply these tools for analysis to their own (potentially non-AGN/galaxy related) data. The workshop will also help users scale the sometimes daunting initial learning curve by connecting them with the tool's designers or expert users.

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

Courses and Events for Math Students and Early Career Researchers,    Algebra

Lake Como School of Advanced Studies

Robust statistics is at the forefront of statistical research, and a central topic in multidisciplinary science where mathematical ideas are used to model and understand the real world, without being affected by contamination that could occur in the data. Nowadays, with the increasing availability of Big data, robust statistical methods are crucially needed. The aim of this course is three-fold: present novel models to describe real-world phenomena, and their properties; study their behavior under different kinds of contamination; discuss their implementation through computational methods. The lectures are addressed to Master, PhD students and postdocs.

International School on Classification and Data Analysis

Probability and Statistics, Game Theory,    Applied Mathematics (in general)

ICMS, Edinburgh

The organisers intend that this workshop will bring a better theoretical understanding of the convergence and stability of moving mesh and anisotropic mesh adaptation methods, which will aid future work in their design. In addition there will be a clearer understanding of their computational complexity and effectiveness when solving very large problems (for example three dimensional problems in gas or fluid dynamics), particularly when using parallel methods.This will allow a better implementation of these methods for challenging practical problems and in new application areas.

Society of Exploration Geophysicists (SEG)

This workshop will discuss the challenges, opportunities, and trends related to the adoption of ML in geoscience research and industrial workflows. Professionals from academia, environmental, energy, and technology companies will present applications and case studies, promote discussion, and propose practical solutions to take greater advantage of ML and AI methods.

Geophysics and Geology,    Neural Networks and Artificial Intelligence, Machine Learning

ICMS, Edinburgh

Structural break analysis is concerned with the detection and localization of abrupt changes in the data generating distribution in time series and spatial processes. Shape-constrained inference, on the other hand, focuses on automatic learning that adapts to unknown structures of signals. Both topics are well-established in statistics, but the recent explosion of data has resulted in challenges in both fields to find theoretically guaranteed and computationally efficient statistical tools to harness and exploit such structural patterns. These challenges are ubiquitous in many, diverse application areas, such as security monitoring, neuroimaging, financial trading, ecological statistics, climate change, medical condition monitoring, sensor networks, risk assessment for disease outbreaks, flu trend analysis, genetics, electro-physiology and many others.

In the last few years, we have witnessed a growing body of literature in both communities focusing on similar problems, but we are also aware that communication between the two areas could be improved. This workshop focuses on recent developments in structural break analysis and shape-constrained inference, aiming to create a platform to bring the two communities together.

Lake Como School of Advanced Studies

Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger set of systems can be modeled using dynamical processes on networks, which are in turn affected by the dynamics. Networks thus represent the backbone of many complex systems, and their theoretical and computational analysis makes it possible to gain insights into numerous applications. Networks permeate almost every conceivable discipline —including sociology, transportation, economics and finance, biology, and myriad others — and the study of “network science” has thus become a crucial component of modern scientific education. The school “Complex Networks: Theory, Methods, and Applications” offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields.

Modeling and Simulation,    Complex Networks

BPS - The Biophysical Society

Beilstein-Institut

Since 1988, the Beilstein Bozen Symposia have addressed many different themes. In recent times the focus has been on selected interdisciplinary aspects of chemistry and biology.

Neural Networks and Artificial Intelligence, Machine Learning,    Modeling and Simulation

The Fields Institute

Calculus, Differential Equations and Integration,    Neural Networks and Artificial Intelligence, Machine Learning

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

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

Courses and Events for Math Students and Early Career Researchers,    Applied Mathematics (in general)

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.

Sociology,    Multidisciplinary or General Events in Informatics

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

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

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.

Sociology,    Multidisciplinary or General Events in Informatics

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.

Applied Mathematics (in general),    Numerical Analysis and Computational Mathematics

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

Mathematical Physics,    Neural Networks and Artificial Intelligence, Machine Learning

Computational Physics and Numerical Simulation,    Applied Mathematics (in general)

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.

Mathematical Logic and Foundations,    Automated Theorem Proving

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.

Phone: [+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).

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

Applied Mathematics (in general),    Microscopy

Lake Como School of Advanced Studies

Information & Knowledge Management, Big Data Computing,    Events for IT Students and Early Career Researchers

Applied Mathematics (in general),    Information Theory, Foundations of Computer Science

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.

Applied Mathematics (in general),    Microscopy

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.

Applied Mathematics (in general),    Microscopy

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.

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.