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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, Germany
Organizer:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Event listing ID:
1494948
2
WIEN2k Hands-On Workshop for New and Existing Users
08 Apr 2024 - 19 Apr 2024 • ICTP, Trieste, Italy
Organizer:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Abstract:
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.
Event listing ID:
1581463
3
Dagstuhl-Seminar — Research Software Engineering: Bridging Knowledge Gaps
14 Apr 2024 - 19 Apr 2024 • Schloss Dagstuhl, Wadern, Germany
Organizer:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Abstract:
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.
Event listing ID:
1566036
4
ODSCEAST — ODSC East 2024
23 Apr 2024 - 25 Apr 2024 • Boston, United States
Organizer:
Open Data Science Conference
Abstract:
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

Contact:
Email: iryna@odsc.com
Topics:
Data Science, Artificial Intelligence
Event listing ID:
1591889
Event website:
5
Dagstuhl-Seminar — Computational Metabolomics: Towards Molecules, Models, and their Meaning
28 Apr 2024 - 03 May 2024 • Schloss Dagstuhl, Wadern, Germany
Organizer:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Abstract:
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.
Event listing ID:
1566076
6
Data-Driven Materials Informatics — Statistical Methods and Mathematical Analysis
04 May 2024 - 24 May 2024 • Chicago, IL, United States
Organizer:
Institute for Mathematical and Statistical Innovation
Abstract:
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.
Event listing ID:
1578065
7
2nd Eurasian Data Visualization Conference — Make your data speak
10 May 2024 - 11 May 2024 • Online, United States
Abstract:
Don't miss the opportunity to join this exciting event and learn about the latest methodologies and trends in the field of data visualization! We look forward to seeing you at the 2nd Eurasian Data Visualization Conference!
Contact:
Event manager;     Email: award@data2speak.com
Topics:
Data, business analytics, AI, data science, business intelligence
Event listing ID:
1614582
Related subject(s):
8
BIRS Workshop — Analysis of Complex Data: Tensors, Networks and Dynamic Systems
12 May 2024 - 17 May 2024 • Banff, Alberta, Canada
Organizer:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Event listing ID:
1559410
9
Random Matrices and Applications
20 May 2024 - 22 May 2024 • Providence, RI, United States
Organizer:
Institute for Computational and Experimental Research in Mathematics (ICERM)
Abstract:
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.
Contact:
Email: info@icerm.brown.edu
Topics:
data science, machine learning, theoretical computer science, electrical engineering, statistics, and numerical analysis
Event listing ID:
1609228
10
INMS Workshop — Big Data Inverse Problems
20 May 2024 - 24 May 2024 • ICMS, Edinburgh, United Kingdom
Organizer:
ICMS - International Centre for Mathematical Sciences
Abstract:
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.
Event listing ID:
1514269
11
Big Data Inverse Problems
20 May 2024 - 24 May 2024 • ICMS, Bayes Centre, Edinburgh, United Kingdom
Organizer:
The International Centre for Mathematical Sciences (ICMS)
Abstract:
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. 
Event listing ID:
1538958
12
Nextflow Summit — Nextflow Summit in Boston
21 May 2024 - 24 May 2024 • Boston, United States
Organizer:
Seqera
Abstract:
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.
Contact:
Event organizers;     Email: summit@nextflow.io
Topics:
nextflow, nf-core, pipeline, workflow, bioinformatics, data science
Event listing ID:
1609405
13
ESCAPE34-PSE24 — European Symposium on Computer Aided Process Engineering and International Symposium on Process Systems Engineering
02 Jun 2024 - 06 Jun 2024 • Florence, Italy
Organizer:
Organized by AIDIC, The Italian Association of Chemical Engineering
Event listing ID:
1567379
Related subject(s):
14
4th ISIS inelastic neutron data analysis course
03 Jun 2024 - 07 Jun 2024 • Didcot, United Kingdom
Abstract:
This will be a training course on how to get the most out of the Horace, SpinW and Euphonic software packages. Horace is a widely used suite of Matlab programs for the visualisation and analysis of large datasets from time-of-flight neutron inelastic scattering spectrometers. SpinW is a Matlab library that can plot and numerically simulate magnetic structures and excitations of a given spin Hamiltonian using classical Monte Carlo simulation and linear spin wave theory. Euphonic is a Python package to calculate phonon bandstructures and inelastic neutron scattering intensities from force constant matrices.
Event listing ID:
1613640
15
LS24 — SIAM Conference on the Life Sciences
10 Jun 2024 - 13 Jun 2024 • Portland, Oregon, United States
Organizer:
Society for Industrial and Applied Mathematics (SIAM)
Abstract:
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.
Event listing ID:
1570405
Related subject(s):
16
PEARC '24 — Practice and Experience in Advanced Research Computing
21 Jul 2024 - 25 Jul 2024 • Providence , RI, United States
Organizer:
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).
Abstract:
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.
Event listing ID:
1605709
17
BIRS Workshop — Statistical, Computational, Translational, and Ethical Challenges in Biobank Data Analysis
21 Jul 2024 - 26 Jul 2024 • Banff, Alberta, Canada
Organizer:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Event listing ID:
1559575
18
Summer school on biomedical image analysis – from acquisition to fairness and bias
12 Aug 2024 - 16 Aug 2024 • Svendborg, Denmark
Organizer:
The summer school is taking place in Denmark and is the sixteenth summer school jointly organized by DIKU, DTU, and AAU.
Abstract:
Biomedical image analysis is a broad topic that covers a variety of disciplines in modern computer science, AI Research, medical sciences and biology. In this summer school, we aim at given the participant a good overview of the current state-of-the-art in several of the fundamental topics used in modern biomedical image analysis.
Event listing ID:
1613649
19
The CODATA-RDA School and Advanced Workshops for Research Data Science
12 Aug 2024 - 30 Aug 2024 • ICTP, Trieste, Italy
Organizer:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Event listing ID:
1581188
20
Summer School on Modelling Tools for Sustainable Development 2024
12 Aug 2024 - 30 Aug 2024 • ICTP, Trieste, Italy
Organizer:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Event listing ID:
1581176
21
MCQMC 2024 — 16th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing
18 Aug 2024 - 23 Aug 2024 • Waterloo, Ontario, Canada
Organizer:
University of Waterloo, Canada
Abstract:
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.
Event listing ID:
1607775
22
Fast and Efficient Python Computing School
19 Aug 2024 - 23 Aug 2024 • Aachen, Germany
Organizer:
This is a School organized by the ErUM-Data-Hub with support from DIG-UM.
Abstract:
In this school you will learn how Python code can be accelerated. A focus will be placed on numeric NumPy-like array computations. In addition, running these array computations on hardware accelerators, i.e., GPUs, will play a key role in this school. The school is intended for young researchers - especially for PhD students - who regularly work with the scientific Python ecosystem. Requirements are good knowledge of the scientific Python ecosystem, basics of the C++ programming language are beneficial.
Event listing ID:
1613595
23
Developers Workshop PyHEP.dev
26 Aug 2024 - 30 Aug 2024 • Aachen, Germany
Organizer:
HEP Software Foundation (HSF)
Abstract:
PyHEP.dev is an in-person, informal workshop for developers of Python software in HEP to plan a coherent roadmap and make priorities for the upcoming year. It complements the PyHEP Users online workshop, which is intended for both developers and physicists.
Abstract submission deadline:
25 Jun 2024
Event listing ID:
1613629
24
Frontiers of Bayesian Inference and Data Science
01 Sep 2024 - 06 Sep 2024 • Oaxaca, Mexico
Organizer:
Casa Matemática Oaxaca (CMO)
Event listing ID:
1576768
25
Royal Statistical Society 2024 International Conference
02 Sep 2024 - 05 Sep 2024 • Brighton, United Kingdom
Abstract:
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.
Event listing ID:
1607743
26
Workshop on High Performance Computing for Materials Characterization, Design and Discovery
02 Sep 2024 - 06 Sep 2024 • ICTP, Trieste, Italy
Organizer:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Event listing ID:
1580805
27
AI4SS Summer School — Summer School on Artificial Intelligence for a Secure Society
05 Sep 2024 - 10 Sep 2024 • Capo Vaticano, Calabria, Italy
Organizer:
CNR - National Research Council of Italy
Abstract:
The pervasive influence of social media platforms has undeniably transformed the landscape of contemporary discourse. While these platforms facilitate open discussions on diverse topics, they simultaneously present significant challenges associated with misinformation and the manipulation of public opinion. With the advent of advanced Artificial Intelligence (generative AI) and Large Language Models (LLM), the dissemination of misinformation has become increasingly sophisticated, threatening the integrity of online discourse and eroding trust in institutions and among communities. It is crucial for policymakers, academics, and industry leaders to collectively address these issues. The goal of the summer school on "Artificial Intelligence for a Secure Society" is to empower individuals with the means to foster a more secure communities, both online and offline. By gathering experts from diverse fields, the program will tackle pressing challenges through the lens of AI. Participants will learn how artificial intelligence can be used to identify, analyze, mitigate, and counteract various threats, including misinformation, disinformation, fake news, orchestrated online campaigns, and information warfare.

Topics covered will include:

- Data Science

- Artificial Intelligence

- Cybersecurity

- Social networks Analysis

- Network Science

- Generative AI

- Trustworthy AI

- Explainable AI

- Neural Networks

- Machine/Deep Learning

Features of the Summer School:

- Keynotes

- Interactive lectures

- Hands-on group projects

- Networking opportunities with experts and peers

Who Can Apply:

The summer school is open to Postgraduate Students, PhD Students, and Researchers interested in Artificial Intelligence.

Deadlines:

- Early Registration: Jul 10, 2024

- Late Registration: Aug 10, 2024

Costs:

There are different participation fees for different solutions:

- Solution S1: € 1050

- Solution S2: € 800

- Solution S3: € 550

These fees are valid for early registration.

Registration costs € 150 more for late registration.

The registration fee includes:

- Attendance to all summer school talks and sessions

- Meals

- Participation to three social events

- Lodging (Single - S1, Double - S2, No Room - S3)

- Attendance certificate

For more information, please visit the summer school website https://ai4securesociety.sobigdata.it/ or contact the organizers at carmela.comito@icar.cnr.it and maurizio.tesconi@iit.cnr.it

General Chairs

- Carmela Comito (ICAR-CNR)

- Maurizio Tesconi (IIT-CNR)

- Giuseppe Manco (ICAR-CNR)

Organizing Committee

- Serena Tardelli (IIT-CNR)

- Angelica Liguori (ICAR-CNR)

- Beatrice Rapisarda (ISTI-CNR)

- Marco Avvenuti (Unipi)

- Massimo Guarascio (ICAR-CNR)

The event "Summer School on Artificial Intelligence for a Secure Society" was organized as part of the SoBigData.it project's offerings aimed at training new users and communities of the research infrastructure (SoBigData.eu).

“SoBigData.it receives funding from European Union – NextGenerationEU – National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza, PNRR) – Project: “SoBigData.it – Strengthening the Italian RI for Social Mining and Big Data Analytics” – Prot. IR0000013 – Avviso n. 3264 del 28/12/2021.”

The event is also supported by the project SERICS (PE00000014) under the NRRP MUR program funded by the EU - NGEU.

Contact:
Email: beatrice.rapisarda@isti.cnr.it
Topics:
Data Science, Artificial Intelligence, Cybersecurity, Social networks Analysis, Network Science, Generative AI, Trustworthy AI, Explainable AI, Neural Networks, Machine/Deep Learning
Event listing ID:
1613139
28
Computational Harmonic Analysis in Data Science and Machine Learning
15 Sep 2024 - 20 Sep 2024 • Oaxaca, Mexico
Organizer:
Casa Matemática Oaxaca (CMO)
Abstract:
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.
Event listing ID:
1576733
29
Dagstuhl-Seminar — Statistical and Probabilistic Methods in Algorithmic Data Analysis
22 Sep 2024 - 27 Sep 2024 • Schloss Dagstuhl, Wadern, Germany
Organizer:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Abstract:
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.
Event listing ID:
1589548
30
Fourth MODE Workshop — Machine-learning Optimized Design of Experiments
23 Sep 2024 - 25 Sep 2024 • Valencia, Spain
Abstract:
MODE (for Machine-learning Optimized Design of Experiments) is a collaboration of physicists and computer scientists who target the use of differentiable programming in design optimization of detectors for particle physics applications, extending from fundamental research at accelerators, in space, and in nuclear physics and neutrino facilities, to industrial applications employing the technology of radiation detection. Our aim to develop modular, customizable, and scalable, fully differentiable pipelines for the end-to-end optimization of articulated objective functions that model in full the true goals of experimental particle physics endeavours, to ensure optimal detector performance, analysis potential, and cost-effectiveness.
Event listing ID:
1614184
31
CHEP 2024 — Conference on Computing in High Energy and Nuclear Physics
19 Oct 2024 - 25 Oct 2024 • Cracow, Poland
Abstract:
The CHEP conference series addresses the computing, networking and software issues for the world’s leading data‐intensive science experiments that currently analyse hundreds of petabytes of data using worldwide computing resources.
Event listing ID:
1614080
32
SNA + MC 2024 — Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
20 Oct 2024 - 24 Oct 2024 • Paris, France
Organizer:
CEA, Alternative Energies and Atomic Energy Commission
Abstract:
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.
Event listing ID:
1521335
33
SNA + MC 2024 — Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
20 Oct 2024 - 24 Oct 2024 • Paris, France
Organizer:
Commissariat à l’Energie Atomique et aux énergies alternatives (CEA, France)
Abstract:
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.
Event listing ID:
1607637
34
MDS24 — SIAM Conference on Mathematics of Data Science
21 Oct 2024 - 25 Oct 2024 • Atlanta, Georgia, United States
Organizer:
Society for Industrial and Applied Mathematics (SIAM)
Event listing ID:
1570422
Related subject(s):
35
BIRS Workshop — Nonlinear Water Waves: Rigorous Analysis and Scientific Computing
27 Oct 2024 - 01 Nov 2024 • Banff, Alberta, Canada
Organizer:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Event listing ID:
1559759
36
Dagstuhl Research Meeting — A long-term strategy for NFDI for DataScience and Artificial Intelligence
28 Oct 2024 - 29 Oct 2024 • Schloss Dagstuhl, Wadern, Germany
Organizer:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Abstract:
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.
Event listing ID:
1566317
37
ISNET-10 — 10th International Workshop on Information and Statistics in Nuclear Experiment and Theory
10 Nov 2024 - 15 Nov 2024 • Shanghai, China
Abstract:
The purpose is to maintain ISNET's mission of bringing the nuclear physics and statistical sciences communities together to report on the latest progress and to provide a vehicle for educating and enlightening the nuclear physics community in regard to the application of statistical methodologies that enable nuclear physics to reach more quantitatively rigorous scientific conclusions.
Topics:
Uncertainty quantification and statistical analysis, Emulators and optimizations, Model mixing and data mining, Machine learning, Bayesian inference, Statistics techniques in nuclear experiments, New frontiers of nuclear physics
Event listing ID:
1614147
38
Dagstuhl-Seminar — Graph Algorithms: Distributed Meets Dynamic
17 Nov 2024 - 22 Nov 2024 • Schloss Dagstuhl, Wadern, Germany
Organizer:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Abstract:
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.
Event listing ID:
1589467
39
11th Workshop on Collaborative Scientific Software Development and Management of Open Source Scientific Packages
18 Nov 2024 - 29 Nov 2024 • ICTP, Trieste, Italy
Organizer:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Event listing ID:
1580689
Related subject(s):
40
Third School on Data Science and Machine Learning
02 Dec 2024 - 06 Dec 2024 • São Paulo, Brazil
Organizer:
South American Institute for Fundamental Research (ICTP-SAIFR)
Event listing ID:
1600567
41
ICSDS — IMS International Conference on Statistics and Data Science
16 Dec 2024 - 21 Dec 2024 • Nice, France
Organizer:
Institute of Mathematical Statistics (IMS)
Abstract:
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.
Event listing ID:
1607702
42
Data Assimilation: From Mathematical and Statistical Foundations to Applications
23 Feb 2025 - 28 Feb 2025 • Oberwolfach, Germany
Topics:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Event listing ID:
1605110
Related subject(s):
43
Detection, Estimation, and Reconstruction in Networks
21 Apr 2025 - 25 Apr 2025 • Berkeley, California, United States
Organizer:
Simons Laufer Mathematical Sciences Institute (SLMath)
Abstract:
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.
Topics:
combinatorial statistics, random graphs, network inference, network reconstruction, detection, estimation
Event listing ID:
1571353


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