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1
Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling
11. Jun 2023 - 17. Jun 2026 • Oberwolfach, Deutschland
Veranstalter:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1494882
2
AI UK 2024 — The UK’s national showcase of data science and artificial intelligence (AI).
20. Mär 2024 • London, Großbritannien
Veranstalter:
The Alan Turing Institute
Zusammenfassung:
Hosted by The Alan Turing Institute, AI UK 2024 will be an in-depth exploration of how data science and AI can be used to solve real-world challenges. Our diverse programme has been thematically structured around the latest innovations from across the AI ecosystem. With a broad range of interactive content, expect to hear the latest thinking on foundational AI, digital twins, algorithmic bias, AI ethics – and much more.
Eintrags-ID:
1578013
3
WIEN2k Hands-On Workshop for New and Existing Users
08. Apr 2024 - 19. Apr 2024 • ICTP, Trieste, Italien
Veranstalter:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Zusammenfassung:
This 10-day workshop consists of lectures blended with hands-on sessions designed to introduce users to or advance skills in materials modelling with WIEN2k (a solid-state density-functional theory package). The event targets graduate students, early-career scientists, experienced users. The WIEN2k code is one of the most accurate density functional theory (DFT) codes for solids and can be applied to all elements of the periodic table; it is currently the most popular all-electron DFT code for solids. Many materials characteristics can be calculated, ranging from the basic ones, such as the electronic band structure or the optimized atomic structure, to more specialized ones such as the nuclear magnetic resonance shielding tensor, the electric polarization, band topology. This event includes lectures that provide basic foundation, scientific talks that highlight illustrative examples on application of DFT to solving specific materials problems, and hands-on tutorials designed at the basic and advanced levels.
Eintrags-ID:
1581463
4
MDM and Data Modenization: Deliver Data-Driven Business Value
11. Apr 2024 • Pennsylvania, Vereinigte Staaten
Veranstalter:
Mastech Infotrellis
Zusammenfassung:
Post the big data wave, backend and frontend applications have evolved to be Cloud-Native, and SaaSified. The rise of AI and ML demands advanced data processing capabilities for large volumes. MDM systems must adapt and innovate to stay ahead of these evolving requirements and remain effective in the modern data landscape. If you are on a legacy MDM platform, your ability to fulfil modern use cases for your businesses will be very limited. MDM is increasingly becoming an integral component of a modern data architecture (Data Fabric, Data Mesh, Data Lakehouse constructs), and modernizing legacy MDM solutions is no longer an option, it is a must do! Join us to discover how to modernize your MDM architecture for optimized business needs and data-driven success.
Themen:
master data management, data modernization, data deliver business value, mastech infotrellis
Eintrags-ID:
1612027
5
Dagstuhl-Seminar — Research Software Engineering: Bridging Knowledge Gaps
14. Apr 2024 - 19. Apr 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
There is currently an insufficient transfer of state-of-the-art research knowledge from computer science to research software engineering, and vice versa, in part leading to an incomplete understanding in computer science of the domain-specific and general challenges in research software engineering. This interactive seminar therefore brings the computer science and software engineering research community and the research software engineering community together to define a common language, and apply it to improve reciprocal knowledge transfer.
Eintrags-ID:
1565981
6
ODSCEAST — ODSC East 2024
23. Apr 2024 - 25. Apr 2024 • Boston, Vereinigte Staaten
Veranstalter:
Open Data Science Conference
Zusammenfassung:
The ODSC East in-person conference will feature 200+ speakers, instructors, and practitioners, 3,000 of your fellow data scientists, and expert-led, hands-on instruction in in-demand topics and tools, previous included:

NLP | Python | Responsible AI | TensorFlow | PyTorch | Conversational AI | OpenAI | Cybersecurity | Data Visualization | scikit-learn | MLOps | Data Engineering | Machine Learning | and much more

Kontakt:
Email: iryna@odsc.com
Themen:
Data Science, Artificial Intelligence
Eintrags-ID:
1591812
7
Dagstuhl-Seminar — Computational Metabolomics: Towards Molecules, Models, and their Meaning
28. Apr 2024 - 03. Mai 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
Metabolomic data, usually from mass spectrometry or nuclear magnetic resonance spectroscopy, is highly complex and information rich. With continuing advances in metabolite detection technologies, the volume and complexity of data is ever increasing. Computational analysis of metabolomic data, from raw data processing to biological interpretation, is therefore fundamental to realizing the impact of metabolomics on a diverse array of application fields, e.g., environmental toxicity, industrial biotechnology, and biomedicine. This Dagstuhl Seminar extends the Computational Metabolomics series to examine how we can enhance the utility and interpretation of metabolomics data.
Eintrags-ID:
1566065
Verwandte Fachgebiete:
8
Data-Driven Materials Informatics — Statistical Methods and Mathematical Analysis
04. Mai 2024 - 24. Mai 2024 • Chicago, IL, Vereinigte Staaten
Veranstalter:
Institute for Mathematical and Statistical Innovation
Zusammenfassung:
Materials informatics is an emerging field defined by the use of simulation tools combined with methods from data sciences and machine learning to better understand materials properties and design innovative materials. The models which are considered cover an extremely wide range, from Schrödinger’s equation, which describes matter at the (sub)atomistic scale, to the equations of continuum mechanics. Mathematical sciences play a key role in materials informatics, both to construct the databases used to train machine learning algorithms (since these databases are made of reference simulation results), and to harness them in order to extract the most relevant information. The aim of this program is bring together a diverse scientific audience, both between scientific fields (physical sciences, materials sciences, biophysics, etc) and within mathematics (mathematical modeling, numerical analysis, statistics and data analysis, etc), to make progress on key questions of materials informatics.
Eintrags-ID:
1578098
Verwandte Fachgebiete:
9
BIRS Workshop — Analysis of Complex Data: Tensors, Networks and Dynamic Systems
12. Mai 2024 - 17. Mai 2024 • Banff, Alberta, Kanada
Veranstalter:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Eintrags-ID:
1559421
10
Random Matrices and Applications
20. Mai 2024 - 22. Mai 2024 • Providence, RI, Vereinigte Staaten
Veranstalter:
Institute for Computational and Experimental Research in Mathematics (ICERM)
Zusammenfassung:
This workshop focuses on the role of random matrices in data science, machine learning, and theoretical computer science. The goal is to discuss a number of hot topics in these areas, focusing on recent theoretical progress and the potential pool of applications, in a manner that is accessible to a wide audience, including researchers in data science, electrical engineering, statistics, and numerical analysis.
Kontakt:
Email: info@icerm.brown.edu
Themen:
data science, machine learning, theoretical computer science, electrical engineering, statistics, and numerical analysis
Eintrags-ID:
1609195
11
INMS Workshop — Big Data Inverse Problems
20. Mai 2024 - 24. Mai 2024 • ICMS, Edinburgh, Großbritannien
Veranstalter:
ICMS - International Centre for Mathematical Sciences
Zusammenfassung:
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.
Eintrags-ID:
1514170
12
Big Data Inverse Problems
20. Mai 2024 - 24. Mai 2024 • ICMS, Bayes Centre, Edinburgh, Großbritannien
Veranstalter:
The International Centre for Mathematical Sciences (ICMS)
Zusammenfassung:
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. 
Eintrags-ID:
1538903
13
Nextflow Summit — Nextflow Summit in Boston
21. Mai 2024 - 24. Mai 2024 • Boston, Vereinigte Staaten
Veranstalter:
Seqera
Zusammenfassung:
This premier event brings together leading experts, innovators, and researchers to showcase the latest breakthroughs in workflow management. There will be a hackathon and training sessions on May 21st and May 22nd and the Summit on May 23rd and May 24th.
Kontakt:
Event organizers;     Email: summit@nextflow.io
Themen:
nextflow, nf-core, pipeline, workflow, bioinformatics, data science
Eintrags-ID:
1609438
14
ESCAPE34-PSE24 — European Symposium on Computer Aided Process Engineering and International Symposium on Process Systems Engineering
02. Jun 2024 - 06. Jun 2024 • Florenz, Italien
Veranstalter:
Organized by AIDIC, The Italian Association of Chemical Engineering
Eintrags-ID:
1567280
Verwandte Fachgebiete:
15
LS24 — SIAM Conference on the Life Sciences
10. Jun 2024 - 13. Jun 2024 • Portland, Oregon, Vereinigte Staaten
Veranstalter:
Society for Industrial and Applied Mathematics (SIAM)
Zusammenfassung:
This conference is co-located with the SIAM Conference on Mathematics of Planet Earth (MPE24). This is the conference of the SIAM Activity Group on Life Sciences. The life sciences have become increasingly quantitative as new technologies facilitate collection and analysis of vast amounts of data ranging from complete genomic sequences of organisms to satellite imagery of forest landscapes on continental scales. As a consequence, mathematics and computational science have become crucial technologies for the study of complex models of biological processes.
Eintrags-ID:
1570361
Verwandte Fachgebiete:
16
PEARC '24 — Practice and Experience in Advanced Research Computing
21. Jul 2024 - 25. Jul 2024 • Providence , RI, Vereinigte Staaten
Veranstalter:
Beginning with the PEARC20 conference, the PEARC conference series is sponsored by the Association for Computing Machinery (ACM) and its HPC and Applications special interest groups (SIGAPP and SIGHPC).
Zusammenfassung:
The ACM Practice and Experience in Advanced Research Computing (PEARC) Conference Series is a community-driven effort that unites cyberinfrastructure and research computing practitioners, developers, and users by providing a forum for discussing ideas, findings, techniques, tools, and experiences. The PEARC Conference welcomes a broad range of participants and offers a diverse, equitable, and inclusive conference experience.
Eintrags-ID:
1605687
17
BIRS Workshop — Statistical, Computational, Translational, and Ethical Challenges in Biobank Data Analysis
21. Jul 2024 - 26. Jul 2024 • Banff, Alberta, Kanada
Veranstalter:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Eintrags-ID:
1559608
18
The CODATA-RDA School and Advanced Workshops for Research Data Science
12. Aug 2024 - 30. Aug 2024 • ICTP, Trieste, Italien
Veranstalter:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Eintrags-ID:
1581144
19
Summer School on Modelling Tools for Sustainable Development 2024
12. Aug 2024 - 30. Aug 2024 • ICTP, Trieste, Italien
Veranstalter:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Eintrags-ID:
1581121
20
MCQMC 2024 — 16th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing
18. Aug 2024 - 23. Aug 2024 • Waterloo, Ontario, Kanada
Veranstalter:
University of Waterloo, Canada
Zusammenfassung:
The MCQMC conference series is a biennial meeting focused on Monte Carlo (MC) and quasi-Monte Carlo (QMC) methods in scientific computing. The conference attracts between 150 and 200 participants. Its aim is to provide a forum where leading researchers and users can exchange information on the latest theoretical developments and important applications of these methods. Recent conferences have attracted researchers in Markov chain Monte Carlo (MCMC). In a nutshell, MC methods study complex systems by simulations fed by computer-generated pseudorandom numbers. QMC methods replace these random numbers by more evenly distributed (carefully selected) numbers to improve their effectiveness. A large variety of special techniques are developed and used to make these methods more effective in terms of speed and accuracy. The conference focuses primarily on the mathematical study of these techniques, their implementation and adaptation for concrete applications, and their empirical assessment.
Eintrags-ID:
1607720
Verwandte Fachgebiete:
21
Frontiers of Bayesian Inference and Data Science
01. Sep 2024 - 06. Sep 2024 • Oaxaca, Mexiko
Veranstalter:
Casa Matemática Oaxaca (CMO)
Eintrags-ID:
1576779
Verwandte Fachgebiete:
22
Royal Statistical Society 2024 International Conference
02. Sep 2024 - 05. Sep 2024 • Brighton, Großbritannien
Zusammenfassung:
The RSS conference brings together the statistics and data science community from across the UK, Europe and around the world to share knowledge and learn about latest developments. With over 600 attendees from around 30 countries and all sectors using statistics and data, this is a must-attend event for professionals, researchers, students and everyone interested in the impactful application of statistics and data science.
Eintrags-ID:
1607787
Verwandte Fachgebiete:
23
Workshop on High Performance Computing for Materials Characterization, Design and Discovery
02. Sep 2024 - 06. Sep 2024 • ICTP, Trieste, Italien
Veranstalter:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Eintrags-ID:
1580783
24
Computational Harmonic Analysis in Data Science and Machine Learning
15. Sep 2024 - 20. Sep 2024 • Oaxaca, Mexiko
Veranstalter:
Casa Matemática Oaxaca (CMO)
Zusammenfassung:
Our society faces various grand challenges that it urgently needs to address over the coming years, such as mitigating climate change, combating environmental damage, and providing effective, affordable healthcare for everyone. Data science and Artificial Intelligence are expected to play a key role in successfully tackling many of these challenges. While recent progress in AI was driven mostly by empirical developments, we are entering now a new phase in which questions of trustworthiness, scalability, fairness, privacy, reproducibility, and explainability emerge as key factors. Fundamentally new ideas and approaches are needed to address these open problems, which will require a close collaboration between mathematicians, statisticians, computer scientists, and engineers. This workshop features an interdisciplinary group of exceptional scientists from across the world to present recent developments, foster new interactions, and create novel ideas for the solution of the aforementioned data science problems.
Eintrags-ID:
1576733
25
Dagstuhl-Seminar — Statistical and Probabilistic Methods in Algorithmic Data Analysis
22. Sep 2024 - 27. Sep 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
Modern algorithms for data analysis require the use of advanced probabilistic methods to achieve desirable scalability and accuracy guarantees. At the same time, modern data-analysis tasks require the use of advanced statistics to handle challenges such as testing for multiple hypotheses or identifying dependencies among data points, such as in time series or graphs. Probabilistic methods are also at the core theoretical computer-science areas, such as sublinear algorithms and average-case analysis. To obtain efficient data-analysis algorithms, probabilistic methods require careful balancing of theoretical and practical aspects. This Dagstuhl Seminar brings together researchers interested in statistical and probabilistic methods to design and analyze scalable algorithms for discovering knowledge in large and rich datasets. We plan to cover the following topics, among others.
Eintrags-ID:
1589559
26
SNA + MC 2024 — Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
20. Okt 2024 - 24. Okt 2024 • Paris, Frankreich
Veranstalter:
CEA, Alternative Energies and Atomic Energy Commission
Zusammenfassung:
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.
Eintrags-ID:
1521379
Verwandte Fachgebiete:
27
SNA + MC 2024 — Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
20. Okt 2024 - 24. Okt 2024 • Paris, Frankreich
Veranstalter:
Commissariat à l’Energie Atomique et aux énergies alternatives (CEA, France)
Zusammenfassung:
In addition to promoting the advances in the traditional areas of interest for this conference, encompassing Monte Carlo simulation and high-performance computing (HPC) methods for nuclear applications, SNA + MC 2024 will also cover novel topics related to emerging scientific and technological challenges, in particular climate and environmental issues, and energy transition.
Eintrags-ID:
1607637
Verwandte Fachgebiete:
28
MDS24 — SIAM Conference on Mathematics of Data Science
21. Okt 2024 - 25. Okt 2024 • Atlanta, Georgia, Vereinigte Staaten
Veranstalter:
Society for Industrial and Applied Mathematics (SIAM)
Eintrags-ID:
1570477
Verwandte Fachgebiete:
29
BIRS Workshop — Nonlinear Water Waves: Rigorous Analysis and Scientific Computing
27. Okt 2024 - 01. Nov 2024 • Banff, Alberta, Kanada
Veranstalter:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Eintrags-ID:
1559726
30
Dagstuhl Research Meeting — A long-term strategy for NFDI for DataScience and Artificial Intelligence
28. Okt 2024 - 29. Okt 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
The vision of NFDI4DS is to support all steps of the complex and interdisciplinary research data lifecycle in Data Science and Artificial Intelligence. The overarching objective of NFDI4DS is the development, establishment, and sustainment of a national research data infrastructure for the Data Science and Artificial Intelligence community. The key idea is to work towards increasing the transparency, reproducibility and fairness of Data Science and Artificial Intelligence projects, by making all digital artifacts available, interlinking them, and offering innovative tools and services. Within this Dagstuhl Research Meeting, the NFDI4DS partners will reflect on their progress so far, and will work on their long-term strategy.
Eintrags-ID:
1566328
31
Dagstuhl-Seminar — Graph Algorithms: Distributed Meets Dynamic
17. Nov 2024 - 22. Nov 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
In modern computational systems, the need to handle large-scale inputs imposes interesting computational challenges. Two such challenges are (1) the need to distribute the computation over multiple units, and (2) the dynamic nature of the input, which may undergo changes over time. A particular class of problems studied in these settings is when the input to the computational task is a huge graph. The field of dynamic graph algorithms addresses efficiently processing edge/vertex insertions/deletions in the input graph. In distributed graph algorithms, the input resides across multiple machines, and the goal is to solve the problem while minimizing the number of rounds of communication. Both of these rich research areas have been extensively studied since at least the 1980’s. We know of efficient algorithms for a large variety of tasks, such as shortest paths problems, coloring, subgraph finding, symmetry breaking, approximations, and many more. However, there are still fundamental problems with no known efficient solutions in some of these models, and even more where the exact complexity of computation is yet to be determined. In the recent years, a number of influential works show how transferring ideas from one of these models to the other provides progress on some of the long-lasting open problems. The goal of this Dagstuhl Seminar is to build a bridge between the two research communities of dynamic graph algorithms and distributed computing, by working together on joint research frontiers.
Eintrags-ID:
1589445
32
11th Workshop on Collaborative Scientific Software Development and Management of Open Source Scientific Packages
18. Nov 2024 - 29. Nov 2024 • ICTP, Trieste, Italien
Veranstalter:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Eintrags-ID:
1580612
Verwandte Fachgebiete:
33
Third School on Data Science and Machine Learning
02. Dez 2024 - 06. Dez 2024 • São Paulo, Brasilien
Veranstalter:
South American Institute for Fundamental Research (ICTP-SAIFR)
Eintrags-ID:
1600501
34
ICSDS — IMS International Conference on Statistics and Data Science
16. Dez 2024 - 21. Dez 2024 • Nizza, Frankreich
Veranstalter:
Institute of Mathematical Statistics (IMS)
Zusammenfassung:
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. There will be a student paper award competition, in addition to plenary sessions, and invited, contributed and poster sessions. Young researchers are particularly encouraged to participate, as a portion of the invited sessions will be designated for young researchers.
Eintrags-ID:
1607702
35
Data Assimilation: From Mathematical and Statistical Foundations to Applications
23. Feb 2025 - 28. Feb 2025 • Oberwolfach, Deutschland
Themen:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1605198
Verwandte Fachgebiete:
36
Detection, Estimation, and Reconstruction in Networks
21. Apr 2025 - 25. Apr 2025 • Berkeley, Kalifornien, Vereinigte Staaten
Veranstalter:
Simons Laufer Mathematical Sciences Institute (SLMath)
Zusammenfassung:
In a growing number of applications, one needs to analyze and interpret data coming from massive networks. The statistical problems arising from such applications lead to important mathematical challenges: building novel probabilistic models, understanding the possibilities and limitations for statistical detection and inference, designing efficient algorithms, and understanding the inherent limitations of fast algorithms. The workshop will bring together leading researchers in combinatorial statistics, machine learning, and random graphs in the hope of cross-fertilization of ideas.
Themen:
combinatorial statistics, random graphs, network inference, network reconstruction, detection, estimation
Eintrags-ID:
1571386


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