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All Meetings

A folder to hold all meeting announcements
ESAC Data Analysis and Statistics Workshop 2016 from 25 October 2016 02:30 PM to 28 October 2016 02:30 PM Madrid ES,
This is the third of a continuing series of annual workshops. Topics include: introduction to statistics; Bayesian inference, parameter estimation and model comparison, machine learning, density estimation, classification and dimensionality reduction. Lecturers are Roberto Trotta (Univ College London) and Zeljko Ivezic (Univ Washington).
4th Conference of Computational Interdisciplinary Science (CCIS 2016) from 07 November 2016 07:35 AM to 10 November 2016 07:35 PM San Jose dos Campos BR,
This conference, sponsored every two years by the Pan-American Association on Computational Interdisciplinary Sciences (PACIS), aims to be a meeting place of researchers and students working in areas of science that use scientific computing in their research projects. CCIS 2016 seeks, in an innovative way, a broader dialog, which is inherently inter- and multidisciplinary, where researchers from different areas can share their experiences and find solutions to their computational problems. A special session on Computational Astrophysics and Cosmology is included, with presentations welcome on Big data and Big Science in Astronomy (hardware, software and human resources); and Scientific Computing in Space Physics (simulation and modeling for gas, plasmas and gravity).
Detecting the unexpected: Discovery in the era of astronomically Big Data from 27 February 2017 07:45 AM to 02 March 2017 07:45 PM Baltimore MD USA,
What tools do astronomers need to discover new classes of objects and complex trends in data sets too large to inspect by eye? This workshop held at the Space Telescope Science Institute will explore this question in specific astronomical contexts and a with a range of tools. How can we find new events in the time domain, and make smart choices about follow-up in real time with limited resources? How can we find new features of our Galaxy in rich databases with more than spatial and kinematic information? We will focus on three kinds of discovery tools during the workshop: citizen science, machine learning, and data-integrated visualization. This will be a unorthodox, hands-on workshop. Attendees are invited to provide exploration tools and data sets in advance of the workshop, which will be integrated into a computing environment provided to all participants. We will have hands-on sessions where discovery tools are taught by experts. There will be “unconfernece" sessions during which attendees can propose their own discussion topics in break-out rooms. There will also be a full day "hack", for attendees to experiment with the presented tools on STScI and contributed data sets and build their own tools.
OpenAstronomy: Software carpentry from 12 September 2016 08:25 AM to 16 September 2016 08:25 PM Sheffield UK ,
OpenAstronomy is a collaboration between many astronomy focused open source projects. Workshops run by OpenAstronomy use the excellent Software Carpentry curriculum for the first two days, which is designed to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. The rest of the workshop is more astronomy and solar physics focused, covering tools specific to doing research in these fields. The course is aimed at graduate students and other researchers.
Python in Astronomy 2017 08 May 2017 from 04:50 AM to 04:50 PM Leiden NL,
This conference aims to bring a wide variety of people who use, develop or teach people about Python packages in the context of all forms of Astronomy. The conference will include presentations, tutorials, unconference sessions, and sprints. As well as building the community around astronomical uses of Python, the conference aims to improve collaboration and interoperability between Python, packages, share knowledge on Python packages and techniques. It will also provide training and educational materials for users and developers of Python packages.
Learn yt Workshop 2016 from 10 October 2016 04:50 AM to 12 October 2016 04:50 AM Urbana IL USA,
yt is an open-source software package for analysis and visualization of astrophysical simulation data (yt-project.org). The workshop will cover basic usage of yt, including the yt data model, yt's field system, low-level data inspection, basic visualization workflows, and data analysis and reduction tasks. We will also cover more advanced usages like generating simulated observations, halo finding and halo analysis, volume rendering, advanced 3D visualizations, and advanced data analysis and reduction tasks. Finally, we will cover how to modify and extend yt, as well as the development and contribution process.
Asilomar Conference on Signals, Systems, and Computers from 06 November 2016 06:50 AM to 09 November 2016 06:50 AM Pacific Grove CA USA,
Now in its 50th year, the annual Asilomar conferences are sponsored by the IEEE Signal Processing Society. It provides a forum for presenting recent and novel work in various areas of theoretical and applied signal processing. Recent meetings have presented a wide array of work ranging from results in blind source separation, random networks, MIMO communications, low dimensional signal models to applications of signal processing in control, wireless communications, financial engineering, smart grids, biological systems, medical imaging, and big data.
229th American Astronomical Society meeting: astrostatistics session from 03 January 2017 05:50 AM to 07 January 2017 05:50 AM Grapevine TX,
The large winter AAS meeting held near Dallas TX will have two events relevant to astrostatisics. First, a session entitled 'Flexible Multi-dimensional modeling of complex data in astonomy) on Wednesday January 4. The session presents tutorials based on the Sherpa-Python and IRIS tools using iPython notebooks developed by the Chandra X-ray Observatory.Details at https://hea-www.harvard.edu/AstroStat/aas229_2017/modeling_ws/. Second, a Special Session entitled "Statistical, Mathematical and Computational Methods for Astronomy (ASTRO): SAMSI 2016-17. Speakers include: Jessi Cisewski (Yale, stat), Jeff Jewel (JPL, astro), Ashish Mahabal (CalTech, astro). Jogesh Babu (Penn State, stat) will introduce the SAMSI program. Details on the program on Saturday January 7 are available at http://hea-www.cfa.harvard.edu/AstroStat/aas229.
The Transient Universe with JWST from 17 January 2017 05:55 AM to 18 January 2017 05:55 AM Cambridge MA USA,
How can the transient community best use the unique capabilities of the James Webb Space Telescope, to be launched in 2018? This two-day workshop will bring together JWST and transient-science experts. We will learn about JWST's unique capabilities and discuss the following two questions: How can transient science benefit from JWST? The new space telescope will include imaging and spectroscopy capabilities between 0.6 - 28 microns. What can we expect to discover in the mid-IR, and which transient sub-fields will benefit most from these capabilities?
Statistical Scalability for Streaming Data 15 November 2016 10:05 AM London UK,
The central goal of the StatScale programme will be to deliver the next generation of statistical solutions required to harness insight from streaming data. Streaming data challenges arise in numerous fields from consumer products to transport networks and energy systems. StatScale's philosophy is to develop an integrated approach to tackling the statistical challenges arising from data streams, drawing on the consortium's complementary perspectives on the methodological, theoretical and computational challenges.
School on Gravitational Waves for Cosmology and Astrophysics from 28 May 2017 05:05 AM to 10 June 2017 05:05 PM Benasque ES,
The recent direct observation of gravitational waves marked the beginning of a new era for the exploration of the universe. In the near future a considerable amount of data on gravitational waves will be provided by the LIGO/VIRGO, LISA and PTA experiments. To extract from this data the implications for theoretical physics, a deep knowledge of ground and space-based interferometers and pulsar timing arrays, and of gravitational wave data analysis seems paramount. The ultimate goal is to provide Ph.D. students and young postdocs with an up to date and broad spectrum of tools and results.
ESAC Data Analysis and Statistics Workshop 2017 from 28 November 2017 10:35 AM to 01 December 2017 10:35 PM Madrid ES,
This is the fourth edition of the annual ESAC Data Analysis and Statistics (EDAS) Workshop hosted by the European Space Astronomy Centre near Madrid in Spain. Two days will cover fundamental topics in statistics and data analysis, and two days will be for practical applications and more advanced topics. The tutors for this year are Doctors Brendon Brewer, Ewan Cameron, Coryn Bailer-Jones, and Michelle Lochner.
2nd International Conference on Data Mining and Big Data (DMBD 2017) from 27 July 2017 07:45 PM to 01 August 2017 07:45 PM Fukuoka JP,
This is an international forum for researchers and practitioners to exchange latest advantages in theories, technologies, and applications of data mining and big data. The meeting, sponsored by several societies and universities, will include special sessions, tutorials, competitions, and more.
useR! 2017 from 04 July 2017 07:50 PM to 07 July 2017 07:50 PM Brussels BE,
R is the premier public domain software environment for statistical computing. The annual useR! conference is the main meeting of the international R user and developer community. Lectures cover a broad spectrum of topics ranging from technical and R-related computing issues to general statistical topics of current interest. The user-contributed presentations are typically organized in sessions with a forum for software demonstrations and detailed discussions, supporting self-organization of the respective communities.
La Serena School for Data Science: Applied Tools for Data-driven Sciences from 21 August 2017 01:00 PM to 29 August 2017 01:00 PM La Serena CL,
The LA SERENA SCHOOL FOR DATA SCIENCE: Applied Tools for Data-driven Sciences is an intensive week of interdisciplinary lectures focused on applied tools for handling big astronomical data. Participants will be instructed in how astronomical data are processed, accessed and analyzed, including reduction pipelines, databases, and scientific programming. The School will be taught by an international and interdisciplinary group of professors who will use real data and access to Chilean national supercomputers.
Astroinformatics: From Big Data to understanding the Universe at Large from 29 June 2017 08:45 AM to 30 June 2017 08:45 AM Prague CZ,
This meeting is Symposium S14 within EWASS 2017, the European Week of Astronomy and Space Science. Through this symposium we hope to bring together many experts to better integrate astroinformatics and standardization in all fields of astronomy, in order to convert data to knowledge. We aim to cover aspects of Supervised, Semi-supervised, and Unsupervised learning, Convolutional Networks, visualization, and updates on various surveys through review talks, invited talks, contributed talks, panel discussions and posters with 1-minute lightning talks. The format will encourage thinking and interaction among participants well after the Symposium. As no Astroinformatics session was held during past EWASS meetings, this symposium will be a great way to introduce various aspects of Data Science to the wider EWASS community.
3rd PANDA Symposium on Time-Domain Astronomy: High-Energy Transients and Explosions from 12 June 2017 11:20 AM to 16 June 2017 11:20 AM Nanjing CN,
The PANDA Symposia series are aiming at establishing and fostering collaborations among young postdoctoral fellows from the Pacific/Asiatic scientific community. Multi-wavelength Time Domain Astronomy (TDA), in particular, is the future of high-energy astrophysics, as it provides a rich variety of means to study the extreme astrophysical environments and the physical processes in the transient Universe, encompassing a large variety of objects, such as Active Galactic Nuclei, X-ray binaries, Gamma-Ray Bursts, Magnetars, and even Gravitational Waves.
Forecasting with Massive Data in Real Time from 20 April 2017 09:35 AM to 21 April 2017 09:35 PM New York NY USA,
The aim in this workshop is to display the efforts of industry and academia to cope with large amounts of data that have to be analyzed in real time. As many analytical solutions are specifically designed with an infrastructure in mind, it is the intention during the meetings to discuss not only the algorithms but also the underlying implementations and their suitability for specific applications. The focus is on automated tools. Selected papers will be published in a special section of the International Journal of Forecasting.
Summer School in Statistics for Astronomers XIII from 05 June 2017 01:25 PM to 09 June 2017 01:25 PM University Park PA USA,
Penn State is continuing its annual Summer Schools in Statistics designed for graduate students and researchers in astronomy. The thirteenth summer school is an intensive week covering basic statistical inference, several fields of applied statistics, and the R computing environment. A repertoire of well-established techniques applicable to observational astronomy and physics are developed. Classroom instruction is interspersed with hands-on analysis of astronomical data using the open-source R software package. The course is taught by a team of statistics and astronomy professors with opportunity for discussion of methodological issues.
3rd Planetary Data Workshop from 12 July 2017 02:45 PM to 15 July 2017 02:45 PM Flagstaff AZ USA,
This workshop will cover a wide variety of Solar System planetary data topics, including current mission data availability, online data access tools and capabilities, new data visualization tools and data user training, GIS methods and software, and an introduction to PDS4 concepts and software. This year we’re proud to co-host the annual NASA Planetary Geologic Mappers Meeting.
Scientific Method for the 21st Century: A World Beyond p<0.05 from 11 October 2017 01:55 PM to 13 October 2017 01:55 PM Bethesda MD USA,
The ASA's statement on p-values and statistical significance addressed many incorrect practices in statistical inference. However, while the statement pointed out what not to do, it did not give much guidance on what to do. The 2017 American Statisistical Association Symposium on Statistical Inference will focus on specific approaches for advancing scientific methods in the 21st century, considering issues that affect not only research, but research funding, journal practices, career advancement, scientific education, public policy, journalism, and law.
Blind Analysis in High-Stakes Survey Science: When, Why, and How? from 13 March 2017 09:15 PM to 15 March 2017 09:15 PM Stanford CA USA,
Blind analyses are an effective way to reduce or eliminate e xperimenter's bias, the unintended biasing of a result by the scientists making a measurement. While blind analysis methods have become common in certain sub­fields of physics and astronomy, they are not yet widespread in the community of scientists preparing for LSST data and future CMB surveys. This workshop will bring together members of LSST science collaborations (DESC, transients, statistics) and CMB collaborations with interdisciplinary blinding experts, and blinding critics.
Time Series Analysis for Synoptic Surveys and Gravitational Wave Astronomy from 20 March 2017 09:15 PM to 23 March 2017 09:15 PM Bengaluru IN,
This joint program is co-sponsored by ICTS and SAMSI (as part of the SAMSI yearlong program on Astronomy; ASTRO). The primary goal of this program is to further enrich the international collaboration in the area of synoptic time domain surveys and time series analysis of gravitational wave data. The participants will focus on advancing the current understanding of these research topics by incorporating expertise of researchers from India and US who are working on identifying electromagnetic counterparts to gravitational wave sources. In essence, this program would enable US researchers to learn from the expertise of Indian researchers and also enable US researchers to exchange and share the methodologies developed by two of the five working groups of the SAMSI ASTRO program.
Building the Infrastructure for Time-Domain Alert Science in the LSST Era from 22 May 2017 09:20 PM to 25 May 2017 09:20 PM Tucson AZ USA,
The era of large-scale time-domain astronomical surveys has arrived. The volume and rate of alerts will be unprecedented and well beyond the ability of individual investigators to process. We will need to create a time-domain ecosystem, with software infrastructure to generate, validate, and filter alerts. In addition, we will need systems to schedule, coordinate, and analyze follow-up observations. NOAO and LCO are posting this workshop to bring together astronomers and others working on a wide variety of technical issues related to time-domain alerts, and to discuss science that can be done with the LCO network.
Supernovae: The LSST Revolution from 31 May 2017 09:25 PM to 02 June 2017 09:25 PM Evanston IL USA,
We aim to bring together experts & young researchers working on all types of supernovae. We will explore key issues from the LSST survey perspective and deliver a white paper with identified challenges and recommendations.
LSST school & workshop: Getting ready for doing science with LSST data from 12 June 2017 09:25 PM to 16 June 2017 09:25 PM Lyon FR,
The school is intended for advanced graduate students and post-docs interested in working with astronomical images, and in particular with the ones to be produced by the LSST. The workshop is expected to bring together experts from the LSST data management team and LSST science collaborations to discuss various topics related to astronomical image data processing at scale. This event is organized as a 1-day school, 3-days workshop and a 1-day hackaton (to be confirmed) in the same location, with no parallel sessions.
SciPy 2017: Scientific Computing with Python from 10 July 2017 10:35 AM to 16 July 2017 10:35 PM Austin TX USA,
SciPy 2017, the 16th annual Scientific Computing with Python conference, brings together over 700 participants from industry, academia, and government to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. The full program will consist of 2 days of tutorials, 3 days of talks, 2 days of developer sprints, and domain-specific mini-symposia. This year's main tracks include AI applications, SciPy Tools and a General Track.
School of Statistics for Astrophysics 2017: Bayesian Methodology from 09 October 2017 02:00 PM to 13 October 2017 02:00 PM Autrans FR,
This third session of the School of Statistics for Astrophysics will be devoted to the Bayesian methodology.
2017 IEEE Symposium Series on Computational Intelligence from 27 November 2017 06:50 PM to 01 December 2017 06:50 PM Honolulu HI USA,
Last year's IEEE SSCI symposium had the first IEEE-sponsored meeting on astronomical data mining. The 2017 symposium promotes all aspects of computational intelligence theory, algorithm design, applications, and related emerging techniques. Following tradition, it will co-locate a large number of exciting symposiums. The program includes plenary speakers, keynote speakers, tutorials, and special sessions.
20th International Conference on Artificial Intelligence and Statistics from 20 April 2017 07:10 PM to 22 April 2017 07:10 PM Fort Lauderdale FL USA,
Since its inception in 1985, AISTATS has been an interdisciplinary gathering of researchers at the intersection of artificial intelligence, machine learning, statistics, and related areas.
Statistical perspectives on Uncertainty Quantification 2017 from 29 May 2017 07:15 PM to 30 May 2017 07:15 PM Altanta GA USA,
The workshop will focus on statistical and mathematical aspects of uncertainty quantification of complex computational models. [This is relevant for large-scale problems in computational astrophysics.] The workshop will consist of non-parallel sessions with presentations from eminent researchers who have made fundamental contributions to the field as well as selected young researchers.
Workshop on Sparsity in Applied Mathematics and Statistics from 01 June 2017 07:30 PM to 02 June 2017 07:30 PM Brussels BE,
In recent years the acquisition of big data sets on one hand and the increasing popularity of high-dimensional models on the other hand have intensified the interdisciplinary contacts between data sciences, machine learning, statistics, applied mathematics, computer science and signal processing. The learning or estimation of patterns and structures from massive observations in complex models is closely related to the solution of possibly large, ill posed or ill conditioned inverse problems. The understanding of graphical and structured models involves expertise in the algorithmic, numerical and statistical aspects. Regularisation of ill posed or ill conditioned problems is often based on an explicit or implicit assumption of sparsity, which can be imposed already at the recovery of the data, as in compressed sensing.
11th meeting on Bayesian Nonparametrics from 26 June 2017 07:30 PM to 30 June 2017 07:30 PM Paris FR,
The Bayesian nonparametrics (BNP) conference is a bi-annual international meeting bringing together leading experts and talented young researchers working on applications and theory of nonparametric Bayesian statistics. It is an official section meeting of the Bayesian nonparametrics section of the International Society for Bayesian Analysis (ISBA) and is co-sponsored by the Institute of Mathematical Statistics (IMS).
Summer school on nonparametric Bayesian methods from 11 September 2017 07:40 PM to 13 September 2017 07:40 PM Leuven BE,
This course is designed to provide a basic coverage of Bayesian nonparametric models. This includes the coverage of the basic properties and the computational issues associated with their practical implementation. The emphasis of the course is on the probability models for probability distributions and their practical applications for hierarchical model building. The discussed methods will be illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. Some basic knowledge on Bayesian parametric inference, including hierarchical modeling and simulation-based inference using MCMC is assumed. The course will include practical sessions in R and some in Win/OpenBUGS. The school is hosted by the Interuniversity Institute for Biostatistics and statistical Bioinformatics
1st International Summer School on Classification and Data Analysis 22 May 2017 07:45 PM Rimini IT,
The “Clustering and Classification” summer school – organised by the CLADAG (the classification group of the Italian Statistical Society) – is designed to introduce clustering and classification methods to advanced undergraduate students, PhD students and postdoctoral researchers. The Summer School is structured in theoretical lessons, tutorials and invited talks on specific themes. Each day will consist on theoretical lectures in the morning, and interactive discussions, scientific seminars and tutorials in the afternoon.
Pacific-Asia Conference on Knowledge Discovery and Data Mining from 23 May 2017 07:50 PM to 26 May 2017 07:50 PM JeJu KR,
PAKDD is a leading international conference in the areas of knowledge discovery and data mining (KDD). It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.
BigSkyEarth Training School 2017: Visualization for large scale analytics from 03 April 2017 09:00 AM to 08 April 2017 09:00 PM Preston UK ,
BigSkyEarth is organizing this Training School as part of its objective to bridge gaps in available methodologies for scalable ‘big data’ analytics and to frame a common long term agenda between astronomy and Earth observation. Effective visualization constitutes a key component of analytical workflows, since it allows producing rich characterizations of both the large scale statistics and the fine details of a dataset by leveraging the strengths of human vision together with those of large scale computing systems. A diverse set of key practitioners from the astronomy, the Earth observation and the computer science domains will be participating in the School, contributing the perspectives of both the academic and the industrial sector.
Astroinformatics 2017 from 07 November 2017 10:10 AM to 10 November 2017 10:10 AM Cape Town ZA,
Astroinformatics 2017 builds on the successful series of meetings devoted to the growing challenge of scientific exploitation of massive and complex data sets from major observational projects at radio, optical and infrared wavelength, and from associated large-scale simulations. The meeting will continue the tradition to bring together astronomers, data scientists, statisticians, computers scientists, companies and policy makers to stimulate a cross-disciplinary exchange in this rapidly advancing field of research.
Astronomical Data Analysis & Software Systems: ADASS XXVII from 22 October 2017 10:10 AM to 26 October 2017 10:10 AM Santiago CL,
This annual Astronomical Data Analysis Software and Systems (ADASS) conference, held in a different location each year, is a forum for astronomers, computer scientists, software engineers, faculty members and students working in areas related to algorithms, software and systems for the acquisition, reduction, analysis, and dissemination of astronomical data. An important element of the program is to foster communication between developers and users with a range of expertise in the production and use of software and systems. The ADASS XXVII program will include invited talks, contributed papers, display sessions, tutorials, computer demonstrations, and special interest (“Birds of a Feather” or BoF) meetings.
IAU Symp #339: Southern Horizons in Time-Domain Astronomy from 13 November 2017 10:40 AM to 17 November 2017 10:40 PM Stellenbosch ZA,
Studies of variability constitute immensely important sources of information about how objects in the cosmos form and evolve. Variability can involve times-scales from a millisecond to a century and beyond, and it can embrace the whole electromagnetic spectrum or just one portion of it. New techniques, new technology, new data-mining skills or just more persistence are extending the realms of time-domain astronomy (TDA). This Symposium of the International Astronomical Union will tackle a broad spectrum of topics by seeking commonalities among quite different kinds of objects that display similar types of variability. New surveys, and the SKA, ALMA and SALT telescope, bring southern-hemisphere astronomy into dominance in this context. S339 therefore needs to examine critically the efficiency and scientific achievements from the new outlays of technology and equipment since 2011. Is communication adequate? Are follow-ups optimal? Are data-mining tools sufficient? Here is where the audience will supply the meeting with ideas, experiences, examples and caveats that can furnish a ‘Charter for Improvement’.
10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2017) from 14 October 2017 06:35 PM to 16 October 2017 06:35 PM Shanghai CN,
CISP-BMEI 2017 is a premier international forum for scientists and researchers to present the state of the art of multimedia, signal processing, biomedical engineering and informatics. Researchers outside of China’s mainland are encouraged to propose invited sessions. All papers in conference proceedings will be submitted to EI Compendex, Scopus, CPCI (ISI/ISTP), and IEEE Xplore.
TIARA Summer School on Astrostatistics and Big Data from 04 September 2017 05:10 PM to 08 September 2017 05:10 PM Taipei TW,
The aim of this summer school is to provide an expository overview of the emerging field of astrostatistics in the landscape of Big Data. The tentative lecture topics include (but are not limited to) fundamentals of statistics, image processing, time series analysis, machine learning methods, and visualization as applied to current and future surveys (e.g., Gaia, HSC, Pan-STARRS, DES, Kepler/K2, LSST, TAOS II, SKA). Due to resource constraints, the participants are limited to 50 graduate or advanced undergraduate students from within Taiwan and internationally.
Astrostatistics Program Transition Workshop from 10 May 2017 11:15 AM to 12 May 2017 11:15 AM Research Triangle NC ,
The NSF-supported Statistical and Applied Mathematical Sciences Institute (SAMSI) has been conducting a year-long program in cross-disciplinary research relating to statistical, mathematical and computational issues in astronomy. Working Groups treat Uncertainty Quantification, synoptic time domain surveys, irregularly sampled time series, astrophysical populations, and cosmology. Applications emphasize research on exoplanets, wide-field surveys, and gravitational waves. The Transition Workshop concludes the program, providing an opportunity for the active working groups in the program to exchange results and share their perspectives on common issues.
2017 Google Summer of Code from 04 May 2017 10:25 AM to 29 August 2017 10:25 AM
Google Summer of Code is a global program focused on bringing more student developers into open source software development. Students work with an open source organization on a 3 month programming project during their break from school. Astronomy programs include: OpenAstronomy (www.OpenAstronomy.org) and and Data Analysis of Variable Events organized by TimeLab (timelabtechnologies.com).
Dark Energy School V 13 February 2017 10:55 AM Stanford CA USA ,
Four Dark Energy Schools have been held as part of Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC) meetings.
IEEE Symposia on Computational Intelligence from 27 November 2017 10:35 AM to 01 December 2017 10:35 PM Honolulu HI USA,
The 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017) is a flagship annual international conference on computational intelligence sponsored by the IEEE Computational Intelligence Society. It promotes all aspects of computational intelligence theory, algorithm design, applications, and related emerging techniques. Following tradition, IEEE SSCI 2017 will co-locate a large number of exciting symposiums, each dedicated to a special topic within or related to computational intelligence, thereby providing a unique platform for promoting cross-fertilization and collaboration.
Southern Cross 2017: Surveying the Cosmos, The Science From Massively Multiplexed Surveys from 05 June 2017 02:10 PM to 09 June 2017 02:10 PM Sydney AU,
The Southern Cross Astrophysics Conferences, which are jointly supported by the Australian Astronomical Observatory (AAO) and the CSIRO Astronomy and Space Science (CASS), are held annually in Australia with the aim of attracting international experts with wide ranging skills to discuss a particular astrophysical topic. The 2017 conference will be on the results of massively multiplexed surveys across the electromagnetic spectrum and at all scales of the cosmos. This conference will bring together a wide cross-section of the international astronomical community with the aim of facilitating discussion of the scientific achievements of massively multiplexed surveys. This conference will also offer an opportunity to summarise the lessons that have been learnt in the past to help maximise the scientific return in the future.
Statistics and Data Science: New Challenges, New Generations from 28 June 2017 02:15 PM to 30 June 2017 02:15 PM Florence IT,
The 2017 SIS (Italian Statistical Society) Conference aims to highlight the crucial role of the Statistics in Data Science. In this new domain of "meaning" extracted from the data, the increasing amount of produced and available data in databases, nowadays, has brought new challenges. That involves different fields of statistics, machine learning, information and computer science, optimization, pattern recognition. These afford together a considerable contribute in the analysis of "Big data", open data, relational and complex data, structured and no-structured. The interest is to collect the contributes which provide from the different domains of Statistics, in the high dimensional data quality validation, sampling extraction, dimensional reduction, pattern selection, data modeling, testing hypotheses and confirming conclusions drawn from the data.The Conference is also addressed to the new challenges of the "data analyst" where the traditional statistical topics are admitted with an extension to the related machine learning and computer science ones. A session on astrostatistics is planned.
ADACS Data Science Training 23 March 2017 02:30 PM Sydney AU ,
Throughout 2017 the Astronomy Australia Limited (AAL) initiative for Astronomy Data and Computing Services (ADACS)at Swinburne University will deliver data services and expert training to improve data management and computing practises, helping the community to maximise the use of astronomy-focused infrastructure. As part of the computational training the partners will run face-to-face workshops and offer online material ranging from introductory programming to tutorials on astronomy specific packages in R and python.
XLDB 2017: Extremely Large Databases and Data Management from 10 October 2017 02:35 PM to 12 October 2017 02:35 PM Casino de Royat FR,
This is the 10th XLDB conference. XLDB events are uniquely targeted gatherings that discuss the real-world challenges, practical considerations, and nuts-and-bolts solutions in the realm of managing and analyzing extreme scale data sets. Attendees include Big Data users from industry / science / government, developers, researchers, and providers. Conference, demonstrations & hackathon.
Cosmostatistics Initiative Residence Program #4 from 20 August 2017 09:40 AM to 27 August 2017 09:40 AM Clermont Ferrand FR,
The Cosmostatistics Initiative (COIN), an international group built under the auspices of the International Astrostatistics Association (IAA), aims to create an interdisciplinary environment where collaborations between astronomers, statisticians and machine learning experts can flourish. The COIN Residence Program is an unstructured and intimate meeting, offering opportunities for collaborative research, learning, and sharing of expertise with concrete scientific outcomes. The main goal of the CRPs is to benefit young and experienced researchers in astronomy, statistics and computer science alike. Thus contributing to the establishment of Astrostatistics and Astroinformatics as full-fledged disciplines. We also aim at creating a personal bound among our members, provinding a completely informal environment where such intimate connections can grow.
International Society of Bayesian Analysis: ISBA 2018 World Meeting from 24 June 2018 10:55 PM to 29 June 2018 10:55 PM Edinburgh UK,
Keynote speakers include: Nicholas Chopin, Montse Fuentes, Michael Jordan, Steven MacEachern, Philip Dawid, Alan Gelfand, Ed George, Tony O'Hagen, Judith Rousseau. Short courses include econometrics, approximate Bayesian computation (including astrophysics applications), reproducible computing, Bayesian time series.
Applied Bayesian Statistics School (ABS16) from 29 August 2016 11:15 PM to 02 September 2016 11:15 PM Como IT,
The subject is Bayes, Big Data and the Internet.
American Astronomical Society #230: Topics in Astrostatistics from 04 June 2017 03:45 PM to 08 June 2017 03:45 PM Austin TX USA,
The 230th meeting of the American Astronomical Society has an astrostatistics session on Monday June 5. Topics are: Bayesian inference for instrument calibration, Deep Learning for astronomical data, and machine learning for time series analysis.
Astronomical Data Analysis IX (ADA IX) from 20 May 2018 05:30 PM to 22 May 2018 05:30 PM Valencia ES,
Held regularly since 2001, the ADA conference series has been focused on algorithms and information extraction from astrophysics data sets. It became a strongly interdisciplinary forum where researchers from diverse fields such as Astronomy, Statistics, Mathematics and Computing could interact. In 2014, this series was dedicated to Cosmology (COSMO21, IAU Symposium 306). ADA conference series include hands-on tutorials on advanced data processing topics, to present advanced data analysis methods and to demonstrate how to use publicly available codes to improve knowledge extraction from large astronomical datasets, enabling a better Science. The Summer School will be held in the days before COSMO21.
Statistical Challenges in 21st Century Cosmology (COSMO21) from 23 May 2018 05:35 PM to 25 May 2018 05:35 PM Valencia ES,
The dialogue between astronomers and statisticians during the last 20 years has been fruitful and has been the origin of a new discipline that is now widely called Astrostatistics. In addition to actual data challenges, the cosmological community is preparing big surveys such as LSST, Euclid and SKA. These examples highlight the big current role and even bigger future role of archival data in astrophysics research.
Dedale Tutorial on Cosmology and Statistics 16 November 2016 05:40 PM
The tutorial day will provide an opportunity for younger researchers to learn some new skills and concepts from fields different from their own. The tutorials will provide introductions to various topics in astrophysics, cosmology, machine learning and signal processing.
1st Italian Astrostatistics School from 12 June 2017 07:25 AM to 16 June 2017 07:25 AM Milan IT,
The primary goal of the school is to train astronomers to the use of modern statistical techniques, specifically parameter estimation and model selection. The INTENSIVE course is characterized by extended laboratory sessions (i.e. individual work at the computer), taking about two third of the school attendance. The program includes: probability axioms, probability models, regression, Bayesian model comparison, comparison with frequentist hypothesis testing and p-values, other advanced topics. Instructors are Roberto Trotta and Stefano Andrion.
Isotropic Random Fields in Astrophysics from 29 June 2017 09:20 AM to 30 June 2017 09:20 AM Cardiff UK,
The purpose of the workshop is to bring to Cardiff world-leading scientists working particularly in the spectral theory of isotropic random fields, astrophysics and data analysis of Planck and Euclid missions. The invited talks will cover spectral theory of isotropic random fields, big data analysis of real cosmological data and related topics. The key general question to be addressed at the workshop are: statistical techniques for a big data analysis of spherical isotropic random fields (including tensor-valued random fields) and application to real and simulated cosmological data.
Hack Day Together 2017 08 June 2017 04:15 PM Austin TX USA,
Hack Together Day is a day to work intensively on collaborative projects of interest to the Astronomical community. A wide variety of projects will be undertaken, spanning everything from software development to creative outreach projects. Projects that take advantage of the unique gathering of enthusiasm and expertise at the AAS Meeting are particularly encouraged. Hack day or programming experience is not required; newcomers are extremely welcome! Project ideas and participants will be solicited before and during the meeting. Participants can lead or join a project, and should plan on focusing on only one thing.
Big Data In Astronomy: A Tool For Social Innovation from 06 August 2017 04:00 PM to 12 August 2017 10:30 AM Flic En Flac - Mauritius,
Big Data in Astronomy: A Potential Tool For Social Innovation (BAriSta) - Organized by BeeCubes and SKA SA is Joint Exchange Development Initiative (JEDI) resident type workshop aiming to contribute towards the Human Capacity Development. The workshop has been supported by the IAU-OAD and DARA and will bring together undergraduates, graduate students and early researchers from countries around the world. The workshop will welcome international tutors to share their knowledge and expertise with the participants in the field of Big Data, Machine Learning and Astronomy and will provide a handson approach towards working with Big Data within Astronomy.
Data Science, Statistics & Visualization: DSSV 2017 from 12 July 2017 05:30 PM to 14 July 2017 05:30 PM Lisbon PT,
The conference Data Science, Statistics & Visualisation (DSSV 2017) is the first event of a new conference series. The aim is to bring together researchers and practitioners interested in the interplay of computer science, statistics and visualisation, and to build bridges between these fields. This meeting shall create a forum to discuss recent progress and emerging ideas in these different disciplines and encourage informal contacts and discussions among all the participants. The conference welcomes contributions to practical aspects of data science, statistics and visualisation, and in particular those which are linking and integrating these subject areas. Presentations should thus be oriented towards a very wide scientific audience, and can cover topics such as machine learning and statistical learning, the visualisation and verbalization of data, big data infrastructures and analytics, interactive learning, advanced computing, and other important themes. This is a satellite conference of the 61st World Statistics Congress sponsored by the International Association for Statistical Computing.
R Summer School (advanced methods) from 25 September 2017 11:55 AM to 27 September 2017 11:55 AM Vorau AT,
The software environment R is not only one of the most important computing environments in statistics, but also in many other areas it became the standard computing tool. Nowadays, R is taught in various courses at universities, or it is used for statistical computations in practice. Often, however, people do not have knowledge about using R for more advanced tasks, like parallel computing, advanced graphics, reporting with R, etc. The goal of this summer school is to learn more about these features of R, that will be of great help for analyzing more complex data, as we find them nowadays in many fields. The school is organized by experts in chemometrics and environmental statistics.
Astro Hack Week from 28 August 2017 09:00 AM to 01 September 2017 06:00 PM UW Seattle,
Astro Hack Week is a mixture of data analysis summer school and unconference-enabled collaborative research. There are no formal prerequisites. Participants will learn the theoretical foundation of, and practical knowledge in, statistical and machine learning methods crucial to modern astronomical data analysis. We welcome participants to bring their own research projects with them; Astro Hack Week is a great place to apply new skills and methods, and work with others to move these projects forward. It is also an opportunity to work on something new, and we encourage participants to apply their technical knowledge to outstanding problems in the astronomical community. Deadline for applications is **May 31, 2017**.
.Astronomy 9 from 14 November 2017 01:10 PM to 17 November 2017 01:10 PM Cape Town ZA,
Astronomy is driven forward by new technology, and today, software is developing more rapidly than it ever has. How can new technologies help astronomical research, education, and outreach? How can new developments in machine learning, web interfaces, and software impact our work? How can new ideas and techniques in education and research increase our productivity? How can we leverage our diversity to better understand the Universe? The .Astronomy conference brings together people in astronomy, technology, and education to build on our strengths for a better community. Content includes: invited and contributed talks; unconferences; and Hack Day.
2017 AGU Fall Meeting from 11 December 2017 03:05 PM to 15 December 2017 03:05 PM New Orleans LA USA,
This meeting of the American Geophysical Union with >20,000 attendees has a number of sessions associated with the Earth and Space Sciences Informatics Section. One is a session entitled 'Big Data Approaches for NASA Science Missions'.
3rd Planetary Data Workshop from 12 June 2017 03:10 PM to 15 June 2017 03:10 PM
The wealth of data now available for planetary research has created the need for new tools and capabilities for storing, delivering, and working with the data using cutting-edge methods. The goals of these workshops are to bring together planetary scientists, data providers from current and recent space exploration missions, data archivists, and software and technology experts to exchange ideas on current capabilities and needs for improved and new tools that can be used to address evolving needs in planetary research and data analysis. Encouraged topics include the availability of planetary data, including information on how the data are found, downloaded, processed, and used for cartography and scientific analysis; trends in data storage and rapid access; analysis and visualization tools using current and new algorithms and methods; hands-on training and how-to guides for acquiring, processing, and working with a variety of digital planetary data; and publicly available derived data products and services, including Geographic Information Systems, featuring data and tools customized for planetary data analysis. This year we’re proud to co-host the annual NASA Planetary Geologic Mappers Meeting.
2017 Numerical Integration Methods in Planetary Science from 13 August 2017 11:20 AM to 16 August 2017 11:20 AM Toronto CA,
This is a meeting to discuss the current state, recent advances, and unsolved problems related to numerical integrations of planetary systems in general, symplectic integrators, hardware acceleration and software tools. The idea is to have a relatively small workshop-style meeting of about 20-30 people who are actively working in this field.
39th Conference on Stochastic Processes and their Applications (SPA2017) from 24 June 2017 11:25 AM to 28 July 2017 11:25 AM Moscow RU,
This is a long-standing conference series sponsored by the Bernoulli Society for Mathematical Statistics and Probability. Topics include: random matrices, disordered systems, Markov processes, branching processes, lattice models, fragmentation processes, random walk, gradient flows, interacting particle systems, stochastic partial differential equations, and more.
High Dimensional Statistics: Theory and Practice from 01 October 2017 11:30 AM to 06 October 2017 11:30 AM Frejus FR,
This course, taught in English, presents an introduction and recent advances in high dimensional statistics, with a special emphasis on main concepts of variable selection, nonparametric estimation, supervised and non-supervised classification and multiple testing. It will address theoretical, methodological and practical aspects of this field. Presented by European Courses in Advanced Statistics and Societe Francaise de Statistique.
NASA Frontier Development Lab 2017 from 26 June 2017 06:25 AM to 18 August 2017 06:25 AM Moffett Field CA USA,
FDL brings together teams of experts in the physical sciences and specialists in data science and machine learning for an intense 8-week concentrated study on topics important to NASA – and to humanity’s future. The 8-week format encourages rapid iteration and prototyping to create outputs with meaningful application, papers and conference posters. The participants are masters, doctorate, or post-doc researchers in: Planetary Science, Heliophysics, Astronomy, Planetary Geology, Remote Sensing, or Data Science, Software Engineering, or Advanced Statistics. Problem areas this year are: Planetary Defense: Near-Earth Object 3D shape modeling or Comet detection; Space Weather: Coronal Mass Ejections (CMEs) or Solar-Terrestrial Interactions; Space Resources: Lunar Water or Asteroid Prospecting. Participants are hosted at NASA Ames Research Center and the SETI Institute. All participants are paid and provided accommodation and transport in Silicon Valley.
SciCoder 9 from 31 July 2017 11:35 AM to 04 August 2017 11:35 PM Nashville TN USA,
This workshop is designed to introduce the early-career researcher to modern programming practices, languages, and tools as specifically applicable to scientific research. These skills will enable the participant to write better code, code faster, and leverage more tools than astronomers are typically introduced to or aware of. An emphasis is placed on the rich variety of open source software available. Topics: Programming tools (Python), Code management (Git, Astropy), Databases (SQL, ORM, Python).
SciCoder 9 from 31 July 2017 11:35 AM to 04 August 2017 11:35 PM Nashville TN USA,
This workshop is designed to introduce the early-career researcher to modern programming practices, languages, and tools as specifically applicable to scientific research. These skills will enable the participant to write better code, code faster, and leverage more tools than astronomers are typically introduced to or aware of. An emphasis is placed on the rich variety of open source software available. Topics: Programming tools (Python), Code management (Git, Astropy), Databases (SQL, ORM, Python).
5th CMM Pucon Symposium: Data Science for Frontier Astronomy, Biology and Medicine from 30 August 2017 04:05 PM to 02 September 2017 04:05 PM Puerto Varas,
The Chilean Atacama desert the host of more than 70% of the optical telescope collecting area in the world and will be the source of petabytes of data streaming from it. The sensing, transmission, processing, analysis, storage and archiving of these large volumes of data will require a robust set of interdisciplinary skills which can have a positive impact beyond pure astronomical research. In this context, we are currently organizing the fifth version of a special topical meeting in southern Chile’s lake district to discuss many of the relevant scientific, technical and infrastructure issues behind the emerging era of Big Data and Data Science. Our intention is to bring together people from various engineering, technical and scientific disciplines from different R&D organizations in a special academic and scenic environment. Sponsored by the Center for Mathematical Modeling, Universidad de Chile.
Second Mexican AstroCosmoStatistics School from 08 May 2017 04:10 PM to 12 May 2017 04:10 PM Guanajuato MX,
This course is entitled "Bayesian Inference for Cosmology". The main goal of this school is to prepare the next generation of students, postdocs, and researchers to perform statistical analysis over cosmological observations, such as present large scale surveys like BOSS and future as DESI, LSST, SCI-HI, etc. The first part of each day will be devoted to lectures and tutorials providing the basis of statistics/bayesian inference tools. The rest of the day will be dedicated to hands-on sessions for developing projects. A set of projects will be pre-defined.
School and Workshop on Bayesian Analysis in Physics and Astronomy from 21 November 2016 04:15 PM to 25 November 2016 04:15 PM Stellenbosch ZA,
The first School on Bayesian Analysis in Physics and Astronomy held in 2013 was well received. It showed there was a great need for advanced schooling in data analysis spanning multiple academic disciplines, industry and education. Building on that success, the second School and Workshop aims to expand both scope and depth and to continue building local capacity. There will be two parallel theoretical courses on offer, plus Monte Carlo methods and research hacks
Advances in Bayesian Astrostatistics: Applications to High-Energy Astrophysics 21 August 2017 11:45 AM Sun Valley ID USA,
This is a special session at the 16th meeting of the High Energy Astrophysics Division of the American Astronomical Society. Speakers are David van Dyk (Imperial College London), Xiao-Li Meng (Harvard University), Keith Arnaud (NASA/CRESST), Daniela Huppenkothen (New York Univ), and Johannes Buchner (PUC Chile).
European Conference on Data Analysis 2017 from 27 September 2017 09:25 AM to 29 September 2017 09:25 AM Wroclaw PL,
This is the 4th European Conference on Data Analysis 2017 (ECDA 2017) organized by several societies on classification and data science. Topics cover a wide range of methods for Big Data, machine learning, clustering and classification, multivariate methods, and knowledge recovery.
Bayes Comp 2018 from 26 March 2018 01:30 PM to 28 March 2018 01:30 PM Barcelona ES,
Bayes Comp is a biennial conference sponsored by the ISBA section of the same name. The conference and the section both aim to promote original research into computational methods for inference and decision making and to encourage the use of frontier computational tools among practitioners, the development of adapted software, languages, platforms, and dedicated machines, and to translate and disseminate methods developed in other disciplines among statisticians. Bayes Comp is current incarnation of the popular MCMSki series of conferences, and Bayes Comp 2018 is the first edition of this new conference series. One session is entitled "Bayesian Computation for Astronomy & Astrophysics".
Solar & Stellar Astronomy Big Data (SABID'17) from 11 December 2017 10:10 AM to 14 December 2017 10:10 AM Boston MA USA,
As part of the IEEE International Conference on Big Data 2017 (Dec 11-14), we are hosting a one day workshop on Solar & Stellar Astronomy Big Data (SABID'17). This interdisciplinary workshop will focus on sharing ideas, strategies and techniques to address the research opportunities that Big Data provide in astronomical and solar physics research. It promises to be a unique workshop for shaping the trajectory of future research in these areas!
IEEE BigData 2017 from 11 December 2017 10:15 AM to 14 December 2017 10:15 AM Boston MA USA,
Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data. Over 40 specialized workshops, 2 special sessions, and 8 tutorials are embedded in the conference, including a workshop on solar/stellar astronomy.
High Performance Computing in Astronomy and Astrophysics (PDP 2018) from 21 March 2018 03:35 PM to 23 March 2018 03:35 PM Cambridge UK,
High Performance Computing is an essential tool in almost all branches of science today. Large scale computations of complex systems of equations that are either intractable with analytic techniques or require an huge amount of time, and the exponential increase in the amount of data that will be gathered by future experiments such as LSST, CTA, SKA are posing a serious challenge to astronomers’ ability to analyze them. The consequence is even increasing interest in parallelizing algorithms and analysis techniques or porting legacy applications to clusters and supercomputers, e.g. those for cosmological simulations, and the use of distributed technologies, Cloud computing, GPUs and other massively parallel architectures as Xeon Phy for the management and processing of large datasets. The aim of this special session is to present the latest efforts in the development of parallel/distributed systems and algorithms and to foster the integration of researchers interested in HPC, astronomy and astrophysics. This is a special session within the 26th Euromicro International Conference on Parallel, distributed and network-based Processing.
NASA Frontier Development Laboratory from 01 July 2017 12:25 PM to 31 August 2017 12:25 PM Pasadena CA USA,
NASA Frontier Development Lab is an Artificial Intelligence R&D accelerator that tackles knowledge gaps useful to the space program. The program is an intense 8-week concentrated study on topics not only important to NASA, but also to humanity’s future. This year, we are focusing on challenges within the fields of Planetary Defense, Space Resources, and Space Weather. FDL brings together individuals with doctorate and post doctorate in highly focused sprint. Three teams worked on connected, but adjacent problems in a shared space mentored by senior scientists with a deep knowledge of the problems. Although tasked with solving their specific challenge, team members were encouraged to share skills across the projects in a spirit of ‘co-opetition’.
CfA Astrostat Day 20 September 2017 from 12:40 AM to 12:40 PM Cambridge MA USA,
The Harvard/Smithsonian Center for Astrophysics is hosting a 1-day gathering of CfA researchers who are involved and interested in AstroStatistics and AstroInformatics. The goal is to get together and learn about various research groups who are working on methods to deal with data issues. There are many such groups at the CfA working on developing new algorithms and this would be an opportunity to meet, exchange ideas, and learn about each other. Talks are live-streamed on YouTube.
"Applied Statistical Methods in Astronomy: Gaussian Processes and Machine Learning" 10 January 2018 12:30 PM National Harbor MD USA,
This is a Special Session within the 231th meeting of the American Astronomical Society and is sponsored by the AAS Working Group on Astroinformatics and Astrostatistics and the CHASC International Center for Astrostatistics. The goal of this special session is to review advances in the newly popular methods of gaussian processes and machine learning, to present applications to data, and to discuss current issues and future perspectives. These methods have applications across the entire spectrum of astronomical research and are being rapidly developed. The invited talks include discussion of application of gaussian processes to time-series spectra in exoplanet research, machine learning techniques to quantify variability states of a micro-quasar, machine learning application in cosmology, and handling multi-catalogs source detection. We also intend to have an associated poster session allowing contributions from the entire community. The session schedule will allow for a discussion, questions and input from the audience.
Quasi-Monte Carlo & High-Dimensional Sampling Methods for Applied Mathematics (QMC) from 11 December 2017 12:50 PM to 15 December 2017 12:50 PM Durham NC USA,
This second workshop in the SAMSI Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applied Mathematics focusses on Monte Carlo sampling methods –an important class of computational algorithms for estimating high dimensional distributions. Monte Carlo sampling is widely used in physics, chemistry, mathematics and statistics, and is most useful when other methods fail due to the high dimensionality of the problem. This SAMSI workshop brings together experts from applied mathematics, statistics and machine learning for the purpose of exchanging ideas and advancing the broad area of sampling algorithms. It is part of SAMSI's year-long program on QMS and climate modeling. The Statistical and Applied Mathematical Sciences Institute is an NSF-supported cross-disciplinary organization.
StanCon 2018 from 10 January 2018 11:10 AM to 12 January 2018 11:10 AM Pacific Grove CA USA,
Three days of talks, open discussions, and statistical modeling. Stan is freedom-respecting, open-source software for facilitating statistical inference at the frontiers of applied statistics. Stan provides both a modeling language for specifying complex statistical models and a library of statistical algorithms for computing inferences with those models. These components are exposed through interfaces in environments such as R, Python, and the command line. Stan is now linked to NumFOCUS, a U.S. 501(c)(3) nonprofit organization that serves several other open-source software projects, including NumPy, Julia, Jupyter, and others.
Workshops at AAS meeting #231 07 January 2018 02:20 PM Washington DC USA,
The January 2018 meeting of the American Astronomical Society (Jan 8-12) is preceded by a 1-day series of parallel workshops for professional development. These include: Software Carpentry (Rodolfo Montez, instructor); Hands-on Bayesian Modeling of Cosmic Populations (Tom Loredo); Using Python to Search NASA's Astrophysics Archives (Vandana Desai); Using Python and Astropy for Astronomical Data Analysis (Kelle Cruz); A Data Science Foundation & Roadmap for Astronomy Instructors (Demitri Muna); Bringing Sloan Digital Sky Survey Data to the Classroom (Brit Lundgren); and Hack Together Day (James Davenport).
The X-ray Spectral-Timing Revolution from 01 February 2016 12:05 PM to 05 February 2016 12:05 PM Leiden NL,
The workshop aims to make progress in developing the next generation of techniques, models and tools to combine X-ray spectral and variability (timing) information to map the regions closest to black holes and neutron stars. We will build on the latest developments in this area using the improving data and methods (e.g. the new hot topic of X-ray reverberation mapping) as well as other approaches, which combine X-ray spectral and timing information.
LIGO Open Data Workshop #1 from 25 March 2018 01:30 PM to 26 March 2018 01:30 PM Pasadena CA USA,
The Advanced Laser Interferometer Gravitational-Wave Observatory (LIGO) has opened the field of gravitational wave astronomy through the direct detection of signals predicted by Einstein’s General Theory of Relativity. Data around these discoveries are publicly available, along with associated software libraries. This workshop is designed for scientists and students pursuing research in this field, both inside and outside the LIGO Scientific Collaboration. It will offer participants a hands-on introduction to working with software tools developed by the LIGO Scientific Collaboration and Virgo collaboration to access and process publicly available gravitational wave data.
Symposium on Data Science and Statistics from 16 May 2018 11:30 AM to 19 May 2018 11:30 AM Reston VA USA,
2018 Symposium on Data Science and Statistics—the new annual symposium for data scientists, computer scientists, and statisticians who analyze and visualize complex data. SDSS is an exciting partnership between the American Statistical Association and the Interface Foundation of North America—and a continuation of "The Interface" symposium, which has hosted established leaders and rising stars in transdisciplinary research since 1967. Topics include: Data Science, Machine Learning, Computational Statistics, Data Visualization, Computing Science, and Applications.
Big Data Science in Astroparticle Research from 19 February 2018 10:40 AM to 21 February 2018 10:40 AM Aachen DE,
This is the second Helmholtz Alliance for Astroparticle Physics (HAP) workshop on Big Data, concentrating on applications of deep learning in astroparticle physics challenges. Special interest is on suited architectures and their hyperparameters. Topics include: Deep Learning; open data, software and analysis; organizational developments; and hand-on tutorials in Deep Learning.
SIAM Conference on Uncertainty Quantification from 16 April 2018 05:45 PM to 19 April 2018 05:45 PM Garden Grove CA USA,
Uncertainty quantification (UQ) is essential for producing informative computational predictions in a wide range of sciences and engineering. The field relies on a broad range of mathematical and statistical foundations, with associated algorithmic and computational developments. This conference will bring together mathematicians, statisticians, scientists, and engineers with an interest in the development and implementation of uncertainty quantification methods. Major conference themes will include the mathematical and statistical foundations of UQ, applications of UQ in the physical sciences and biosciences, and connections between UQ and machine learning. The goal of the meeting is to provide a forum to share ideas and enhance communication among this diverse group of technical experts, thereby contributing to future advances in the field. The conference is sponsored by the SIAM Activity Group on Uncertainty Quantification with the American Statistical Association and German GAMM Activity Group on UQ.
SIAM Conference on Parallel Processing for Scientific Computing from 07 March 2018 05:45 PM to 10 March 2018 05:45 PM Tokyo JP,
The Society for Industrial and Applied Mathematics is proud to present the Eighteenth Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in promoting parallel scientific computing, algorithms for parallel systems, and parallel numerical algorithms. The conference is unique in its emphasis on the intersection between high performance scientific computing and scalable algorithms, architectures, and software. The conference provides a forum for communication among the applied mathematics, computer science, and computational science and engineering communities.
SIAM Conference on Imaging Science from 05 June 2018 05:50 PM to 08 June 2018 05:50 PM Bologna IT,
The SIAM Activity Group on Imaging Science (SIAG/IS) is organizing the biennial SIAM Conference on Imaging Science, one of the flagship events in imaging science and mathematical aspects of imaging. Reconstruction, enhancement, segmentation, analysis, registration, compression, representation, tomography, machine learning and tracking of two and three dimensional images are vital to many areas of science, medicine, and engineering. The increasingly sophisticated mathematical, statistical and computational methods employed in these research areas are referred to as Imaging Science. These techniques include transform and orthogonal series methods, nonlinear optimization, numerical linear algebra, integral equations, partial differential equations, Bayesian and other statistical inverse estimation methods, operator theory, differential geometry, information theory, interpolation and approximation, inverse problems, computer graphics and vision, stochastic processes, and others.
Time-Domain Astronomy: a High Energy View from 13 June 2018 03:10 PM to 15 June 2018 03:10 PM Madrid ES,
Most X-ray emitting objects show variability whose timescales can span many orders of magnitudes, from decades down to milliseconds depending on the source. Studying X-ray variability, we can probe the physics of a large number of phenomena in a plethora of different astrophysical objects, from large scale changes of galactic environments down to the direct environment of compact accretion objects. Objects studied include solar system objects and stars, novae and supernovae, pulsars and magnetars, Galactic black holes and supermassive black holes in the centre of active galactic nuclei. The workshop aims to summarise the current understanding of the variability in high energy astrophysical objects in order to explore the potential synergy with other (new) time-domain facilities and to foster cooperation between observers in different energy bands. It is hosted by the European Space Astronomy Centre (ESAC).
Statistical challenges for large-scale structure in the era of LSST from 18 April 2018 03:00 PM to 20 April 2018 03:00 PM Oxford UK,
Large-scale structure (LSS) is a powerful cosmological tool, in particular in combination with weak lensing observations. However, a number of statistical, computational and theoretical challenges will be brought about by the unprecedented depth and data volume of experiments such as the Large Synoptic Survey Telescope (LSST). The aim of this workshop is to gather experts in LSS, both within LSST and other collaborations, to achieve a unified picture of the methods and strategies at our disposal to address these problems, as well as to highlight the role of LSS within next-generation surveys as an essential cosmological probe. The meeting focuses on 5 topics: sky systematics, analysis systematics, statistical methods, computational challenges and modeling uncertainties.
XLDB 2018: 11th Extremely Large Databases Conference from 30 April 2018 09:25 AM to 02 May 2018 09:25 AM Stanford CA USA,
XLDB events are uniquely targeted gatherings that discuss the real-world challenges, practical considerations, and nuts-and-bolts solutions in the realm of managing and analyzing extreme scale data sets. Attendees include Big Data users from industry / science / government, developers, researchers, and providers. This year, special consideration will be given to large-scale data management for Machine Learning and Artificial Intelligence in production use cases. Satellite events are organized in Europe and Asia to reach out to those unable to attend our main event.
DSSV 2018: Data Science, Statistics & Visualization from 09 July 2018 03:15 PM to 11 July 2018 03:15 PM Vienna AT,
This meeting shall create a forum to discuss recent progress and emerging ideas in these different disciplines and encourage informal contacts and discussions among all the participants. The conference welcomes contributions to practical aspects of data science, statistics and visualisation, and in particular those which are linking and integrating these subject areas. Presentations should thus be oriented towards a very wide scientific audience, and can cover topics such as machine learning and statistical learning, the visualisation and verbalization of data, big data infrastructures and analytics, interactive learning, advanced computing, and other important themes. Sponsored by the International Association for Statistical Computing and International Statistical Institute.
1st RISE-ASTROSTAT Collaboration Meeting from 26 June 2017 05:25 PM to 28 June 2017 05:25 PM Heraklion GR,
The goal of this meeting is to bring together members of the teams participating in the RISE-ASTROSTAT program in order to discuss progress in the on-going projects, foster further collaboration, and define the directions of future research activities of the program. The meeting is coordinated with the mid-term review of the program (June 26th 2017). Topics that will be discussed in the meeting include: Classification, Fitting, Statistical methods in cosmological problems, Imaging analysis.