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All Meetings

A folder to hold all meeting announcements
Data Visualization and Exploration in the LSST Era from 19 June 2018 05:00 PM to 21 June 2018 05:00 PM Urbana IL USA,
Astronomy is at a crossroads and active researchers in the field are facing a changing landscape of best practices driven by the emergence of Big Data. This three-day workshop, at the National Center for Supercomputing Applications, will help establish and disseminate a framework for thes new practices through our multi-disciplinary research group that includes data visualization experts, cosmologists, astronomers, and data scientistss. This workshop will bring together local and external experts from DES, LSST, SPT, yt, data science, and cosmology to discuss strategies and methods for data visualization and exploration with the help of current cloud and container technologies. The goal of this workshop is to share experiences and provide hands on mini tutorials on the many topics involved such as containers, cloud computing, visualization, machine learning, among others.
IEEE Symposium on Computational Intelligence for Astroinformatics from 18 November 2018 11:25 PM to 21 November 2018 11:25 PM Bengaluru IN,
The explosion of data richness and complexity have resulted in the relatively new field of Astroinformatics: an interdisciplinary area of research where astronomers, mathematicians and computer scientists collaborate to solve problems in astronomy through the application of techniques developed in data science.The symposium aims to capture the baseline, set the tempo for future research in India and abroad and prepare a scholastic primer that would serve as a standard document for future research. Scalable and fast applications to image processing, time-series analysis, deep and wide networks, as well as fusion methods are driving progress in many areas. We hope to learn about methods that are applicable to astroinformatics but are not currently used, and also making CS practitioners aware of the interesting problems that complex astronomy datasets provide. We welcome original and unpublished contributions (no more than 8 pages including figures, tables and bibliography, in IEEE two-column format) that discuss new developments in efficient models for complex computer experiments and data analytic techniques which can be used in astronomical data analysis as well as related branches in physical, statistical and computational sciences.
Summer School on Computational Astrophysics from 17 May 2018 09:10 AM to 25 May 2018 09:10 AM Shanghai CN,
The Tsung-Dao Lee Institute (TDLI) in Shanghai, China is organising a series of summer or winter schools in the field of nuclear astrophysics. The main goal of the 2018 School is to teach students how to write and use hydrodynamic codes based on finite volume methods for problems such as simulating core collapse supernovae. The School is designed for graduate students with significant research experience in astrophysics and beginning postdoctoral researchers.
GPU-based analytics and data science from 03 April 2018 12:35 PM to 09 April 2018 12:35 PM San Sabastian ES ,
The EU-funded BigSkyEarth program seeks to improve the computational expertise of astronomical and Earth observational sciences by boosting communication between disciplines and bring new methodologies for Big Data to bear on scientific problems. This is the 3rd BigSkyEarth Training School focused on GPU analytics, where key practitioners from the astronomy, the Earth observation and the computer science domains will contribute the perspectives of both the academic and the industrial sectors. Applicants from certain European countries can receive financial support.
Model Uncertainty: Mathematical and Statistical (MUMS) from 20 August 2018 12:45 PM to 16 May 2019 12:45 PM Research Triangle NC USA,
This is a year-long cross-disciplinary research program starting August 2018 at the Statistical and Mathematical Sciences Institute (SAMSI) in Research Triangle NC USA. It is rarely the case that either a mathematical model or a statistical model of a process can be constructed, with assurance from its construction that the model accurately represents or predicts the complete process. Thus, in the crucial final step of utilizing the model for prediction or understanding of the real-world process, it is of central importance to understand the uncertainties inherent in using the model. In mathematics and engineering, this is called Uncertainty Quantification (UQ) and has become a major part of applied mathematics. In statistics this is called Model Uncertainty (MU), and has long been one of the most prominent fields of statistics, and includes hypothesis testing, model selection, model averaging, model criticism, and many other specialty areas. UQ and MU have developed mostly independently and with almost completely separate communities. Bringing together researchers from the two communities to attack these common goals is the primary goal of this SAMSI program.
Python in Astronomy 2018 from 30 April 2018 04:10 PM to 04 May 2018 04:10 PM New York NY USA,
Organized by the Flatiron Institute's Center for Computational Astrophysics, this workshop focuses on sharing information about state-of-the art Python Astronomy packages, improving interoperability between astronomical Python packages, mentoring open-source contributors, and developing educational materials for Python in Astronomy. The meeting is therefore not only aimed at current developers and users, but also educators or others.
Summer School in Statistics for Astronomers XIV & Summer School in Astroinformatics from 29 May 2018 09:55 AM to 08 June 2018 09:55 AM
Penn State's Center for Astrostatistics is supplementing its long-standing week-long Summer School in statistical methodology with a new Summer School in Astroinformatics. Registration is now open; participants can attend one or both of the programs. Lectures and tutorials are presented by professors in statistics, computer science, astrostatistics and astroinformatics. Tutorials exercise methods with realistic contemporary astronomical dataset.
2nd Information University conference from 03 July 2018 10:10 AM to 06 July 2018 10:10 AM Groningen NL,
The key topic of the IU conference series is: “What is the role of information in the Universe and its description?”. In an epoch where scientists need to handle Big Data and simulations, find highly organized systems in nature and grapple with the role of information in physics and other sciences, this appears to be one of the more fundamental questions that needs to be answered in order to understand the world around us. The Information Universe conference intends to approach the key role of information from the point of view of several disciplines: e.g. cosmology, physics, mathematics, life sciences, computer science (including quantum computing) and neuroscience.
Astro Hack Week 2018 from 06 August 2018 10:00 AM to 10 August 2018 06:00 PM Lorentz Centre, Leiden, NL,
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.
NASA Frontier Development Lab 2018 from 25 June 2018 08:35 PM to 17 August 2018 08:35 PM Mountain View CA USA,
FDL is an applied artificial intelligence research accelerator established to maximize new AI technologies and capacities emerging in academia and the private sector and apply them to challenges in the space sciences. It is an interdisciplinary research program at the Phd and Post-Doc level. Our researchers come from around the world to work on unresolved problems in the space sciences identified by senior NASA scientists. The 8-week summer program places an emphasis on learning and rapid iteration, cross-disciplinary skills sharing, prototyping and experimentation. The 2018 Challenges cover space resources, exoplanets, space weather, orbital debris, and Earth observation. The exoplanet challenges are oriented towards the TESS mission. Researchers receive a stipend, accommodation and visa support.
La Serena School for Data Science 2018 from 20 August 2018 12:15 PM to 29 August 2018 12:15 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 examples. Students from different disciplines are encouraged to participate, including astronomy, computer science, statistics, and mathematics. Scholarships will be available for most participants from the U.S. and Chile.
DM-Stat: Statistical Challenges in the Search for Dark Matter from 25 February 2018 02:40 PM to 02 March 2018 02:40 PM Banff CA,
The overarching objective of the DM-Stat workshop is to bring expert statisticians in techniques which may help or accelerate the eventual discovery of particle DM, together with leading physicists in areas relevant to the discovery of dark matter and its particle properties. The goal is to proceed via a set of distinct objectives: 1) Begin effective collaboration between the DM and astrostatistics communities; 2) Single out problems in the search for dark matter which can be effectively tackled with advanced statistical tools; 3) Introduce DM physicists to modern statistical tools, and provide them with resources to use them; and 4) Integrate statisticians and their expertise into teams looking for DM.
BAYSM 2018: Bayesian Young Statisticians Meeting from 02 July 2018 01:05 PM to 03 July 2018 01:05 PM Warwick UK,
BAYSM is dedicated to PhD students, MSc students, Post-Docs and Young Researchers working in the field of Bayesian statistics. BAYSM is an opportunity to connect with the Bayesian community at large, to exchange ideas, and to know people working in the same field for creating future networks. The presence of a senior discussant in each session will allow participants to get advice and comments to their current research. Theoretical and applied contributions are welcome. Authors will be considered for publication in a book.
Big Data Analysis in Astronomy from 04 November 2018 11:50 PM to 10 November 2018 11:50 PM Tenerife ES,
The XXX Canary Islands Winter School of Astrophysics, organized by the Instituto de Astrofísica de Canarias (IAC), focusses on Big Data Analysis in Astronomy. The School will admit around 60-70 PhD students and young Post-Docs. In a relaxed environment, the School will give participants the opportunity to learn from world-renowned specialists about the techniques used in Astronomy in the analysis of Big Data. Lectures will be complemented by tutorials consisting in implementing small projects with a design and scope based on what the students will learn during the machine learning lectures. Participants of the Winter School will have the opportunity to highlight their current work by presenting a poster. The duration of the school, including the visits to the observatories, is equivalent to a total of 30 hours (3.0 academic credits).
ESAC Data Analysis and Statistics Workshop 2018 from 08 October 2018 09:00 AM to 11 October 2018 06:00 PM European Space Astronomy Centre, Madrid, Spain,
ESAC Data Analysis and Statistics Workshop 2018
Conference on non-stationarity 04 June 2018 11:35 AM Cergy-Pontoise FR,
A crucial assumption underlying most time series methods is that of stationarity implying that the long-term behavior of the process is stable and enables deriving ergodic theorems. The aim of this conference is to bring together scientists to discuss models and methods that are not based on the assumption of stationarity. Important topics include nonstationary periodic models, inclusion of covariates and regression modeling based on shape constraints. We will bring together scientists from applied fields to show the wide applicability of the new methodology, including astrophysics. The conference is held at the University of Cergy-Pontoise outside Paris FR.
Joint Statistical Meeting 2018 from 28 July 2018 04:20 PM to 02 August 2018 04:20 PM Vancouver CA,
The JSM, sponsored by several North American societies, is the world's largest annual gathering of statisticians and data scientists. The Amer Stat Assn's Special Interest Group in Astrostatistics & others have organized three sessions on astrostatistics for Monday July 30: 'New Innovations and Challenges in Astrostatisitcs', 'Hierarchical Bayes in a Hierarchical Universe', and a `Contributed Papers' session. Details below.
Zwicky Transit Factory Summer School from 18 July 2018 03:10 PM to 20 July 2018 03:10 PM Pasadena CA USA,
The Zwicky Transient Facility (ZTF) is a new time-domain survey that had first light at Palomar Observatory in 2017. The 2018 ZTF Summer School will cover the basic concepts of time domain science and working with ZTF data with a particular focus this yer on the new alert stream from the ZTF public surveys. We will also be joined by colleagues from NOAO showcasing the NOAO ANTARES alert broker and Data Lab.
2018 Joint Research Conference on Statistics in Quality, Industry, and Technology from 11 June 2018 07:50 PM to 14 June 2018 07:50 PM Santa Fe NM USA,
The goal of this conference is to stimulate interdisciplinary research and innovative solutions to practical problems though interactions among statisticians, quality professionals, engineers, and scientists from diverse fields. The theme of this year’s conference is, “The Art and Science of Statistics” drawing upon advances from the fields of statistics, machine learning, and data science. The conference is hosted by Los Alamos National Laboratory. The ASA Astrostatistics Interest Group has a session.
Astronomical Data Analysis Software and Systems (ADASS 2018) from 11 November 2018 11:05 PM to 15 November 2018 11:05 PM College Park MD USA,
This annual conference is a forum for astronomers, computing 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. The ADASS XXVIII program will include invited talks, contributed papers, display sessions, tutorials, computer demonstrations, and special interest ("Birds of a Feather") meetings, as well as a community-based Hackathon preceeding the meeting.
Software Tools for Simulations in Nuclear Astrophysics from 17 June 2018 01:40 PM to 19 June 2018 01:40 PM Hull UK,
NuGrid and the EA Milne Centre for Astrophysics organize a 3-day training school event on the topic of nuclear reaction rates, stellar nucleosynthesis, observations and implications for galactic chemical evolution.The goal of this training school is to document present state of knowledge and discuss key open questions in nuclear astrophysics, and to allow young scientists to practise and actively engage with these different interdisciplinary topics. Trainees will learn how to use software tools that will enhance their research and their exploitation
Big Data Era in Sky and Earth Observation from 26 February 2018 10:10 AM to 27 February 2018 10:10 AM Novi Sad LY,
BigSkyEarth COST Action (EU) is organizing its third workshop, with the topic “Big Data processing in the forthcoming era of ultra-high resolutions“. The workshop participants discussed the challenges that arise with the expansion of remote sensing market using UAVs and with the expansion of astronomical sky surveys and airborne astronomy.
Knowledge Discovery in Databases (KDD 2018) from 19 August 2018 08:40 PM to 23 August 2018 08:40 PM London UK,
The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data. This is a large conference with Keynote talks, Applied Data Science Invited Talks, 27 workshops, and 37 tutorials. A full day is devoted to Deep Learning.
JupyterCon: The Official Jupyter Conference from 21 August 2018 08:50 PM to 24 August 2018 08:50 PM New York NY USA,
Recent developments in Jupyter—from JupyterLab to Binder to open source clients like nteract—have created opportunities to solve difficult data problems such as scalability; reproducible science; and compliance, data privacy, ethics, and security issues. It's a unique opportunity to see how Jupyter's creators, developers, and innovators across industry, government, and academia are using Jupyter to solve common problems—and how their solutions could be applied in your organization. Two days are devoted to training, and two days to tutorial and conference. Includes talk by Adam Thornton on JupyterLab and LSST. In just a few days, you'll learn how to build a flexible, future-proof, and highly scalable shared data infrastructure; create reproducible and iterative analysis, and leverage these powerful tools for sharing and communicating data analysis.
PyImageConf 2018 from 26 August 2018 07:30 PM to 28 August 2018 07:30 PM San Francisco CA USA,
PyImageConf is a practical, hands-on conference featuring computer vision, deep learning, and OpenCV experts. PyImageConf has put together the biggest names to give you the best possible live, hands-on training and talks. Each speaker is respectively known for their writing, teaching, online courses, and contributions to open source projects.
Astroinformatics 2018 from 03 September 2018 06:35 AM to 07 September 2018 06:35 AM Heidelberg DE,
Astroinformatics 2018, held in Germany for the first time, 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 crossdisciplinary exchange in this rapidly advancing field of research. Equal emphasis is placed on the presentation of novel statistical processing methods as well as astronomical topics. The meeting is hosted by the Astroinformatics (AIN) group of HITS led by Kai Polsterer.
2018 Sagan Exoplanet Summer Workshop from 23 July 2018 10:25 PM to 27 July 2018 10:25 PM Pasadena CA USA,
This Summer Workshop, sponsored by the NASA Exoplanet Science Institute (NExScI), is called "Did I Really Just Find an Exoplanet?". The Workshop will gather leaders in the field to focus on follow-up work to validate and characterize exoplanet discoveries. Attendees will participate in hands-on group projects applying tools to real data in order to validate planets. They will have the opportunity to present their own work through short presentations (research POPs) and posters. The Sagan Summer Workshops are aimed at graduate and post doctoral level students, however anyone who is interested in learning more about the field is welcome to attend.
2nd East Asian Workshop on Astrostatistics from 09 July 2018 10:35 PM to 20 July 2018 10:35 PM Nanjing & Guiyang CN,
will be held in Nanjing (9th-13th) and Guiyang (16th -20th), China in July 2018. This workshop is opened to students and astronomers in East Asia who have interests in practical use of statistics and of state-of-the-art statistical tools applicable to astrophysical problems. The main purpose of this workshop is to provide the graduate students, post-docs and researchers in China, as well as other East Asian countries, with an opportunity to learn the analysis and evaluation process of the modern astronomical data. Prof. Eric Feigelson from Penn State University will be the instructor of the workshop and the workshop will be modeled on previous Penn State Summer Schools organised by him. Identical 3-day programs will be held at Purple Mountain Observatory (Nanjing University) and Guizhou Normal University.
AstroGeoInformatics: Knowledge Discovery in Big Data from Astronomy and Earth Observation from 17 December 2018 09:15 AM to 19 December 2018 09:15 AM Tenerife ES,
2019 Conference on Big Data from Space (BiDS'19) from 19 February 2019 09:20 AM to 21 February 2019 09:20 AM Munich DE,
Big Data from Space refers to the massive spatio-temporal Earth and Space observation data collected by a variety of sensors - ranging from ground based to space-borne - and the synergetic use of data coming from other sources and communities. This domain is currently facing sharp development with numerous new initiatives and breakthroughs from intelligent sensors' networks to data science application. These developments are empowering new approaches and applications in various and diverse domains influencing life on earth and societal aspects, from sensing cities, monitoring human settlements and urban areas to climate change and security. The focus of the meeting it turning data into insights. This is a large meeting with oral sessions, poster sessions, demos and exhibitions. Conference proceedings will be a Special Issue IEEE Transactions on Big Data (TBC). BiDS'19 is coorganized by the European Space Agency with the EC JRC, EU SatCen and is hosted by DLR.
9th International Conference on Data Analysis and Cloud Computing from 11 March 2019 02:25 PM to 12 March 2019 02:25 PM London UK,
The Theme for this conference is “The Next Evolution of Cloud Computing”. This conference aimed to expand its coverage in the areas of Cloud Computing, Data Analysis, and Fog Computing where expert talks, young researchers presentations will be placed in every session of the meeting, will be inspired and keep up your enthusiasm. Related conferences are listed.
3rd IMA Conference on the Mathematical Challenges of Big Data from 10 December 2018 02:35 PM to 11 December 2018 02:35 PM London UK,
Data-driven analysis is increasingly on the critical path for performance advantage in many organisations, both public and commercial. This raises continuous challenges for rigorous analysis to derive reliable insights from data at very large scale, often with potential artefacts and sampling bias, adding to change variation. This conference brings together researchers and practitioners to signpost developments in the state-of-the-art and find common ground where theory and practice meet to maximise impact in the digital economy. Hosted by the U.K. Institute of Mathematics and its Applications.
Information Universe Conference from 03 July 2018 12:35 PM to 06 July 2018 12:35 PM Groningen NL,
The key topic of the Information Universe (IU) conference series is: “What is the role of information in the Universe and its description?”. In an epoch where scientists need to handle big data and simulations, find highly organized systems in nature and grapple with the role of information in physics and other sciences, this appears to be one of the more fundamental questions that need to be answered in order to understand the world around us. The IU conference intends to unite various approaches, addressing the fundamental role of information both in nature (in vivo) and in data analysis, theory and computer modelling (in vitro).
Workshop on Modeling and Machine Learning in Astronomy (ICACCI'18) 20 September 2018 11:35 AM Bangalore IN,
Ranging from PB-sized archives to the recent example of the discovery of Gravitational Waves, the importance of data driven discovery in Astronomy has multiplied. That has resulted in the relatively new field of Astroinformatics. The workshop aims to capture the baseline, set the tempo for future research in India and abroad and prepare a scholastic primer that would serve as a standard document for future research. This is the 7th International Conference on Advances in Computing, Communications and Informatics hosted by the PES Institute of Technology, Bangalore. Video presentations (5 hours) from the meeting can be found at
COIN Residence Program #5 from 15 September 2018 12:15 PM to 22 September 2018 12:15 PM Chania GR,
The Cosmostatistics Initiative (COIN) is a worldwide endeavour aimed to foster interdisciplinary collaborations to solve data-driven scientific challenges. The CRP is an unstructured meeting, offering opportunities for collaborative research, learning, and transference of skills. The CRPs are composed by young and senior researchers from astronomy, statistics, computer science and related disciplines alike. COIN is composed of members from around the globe with a diverse set of skills, personalities, and experiences. This is one of the characteristics which makes it unique and fruitful.
Big Data in Simulations and Observations from 26 November 2018 04:55 PM to 01 December 2018 04:55 PM Turku FI,
BigSkyEarth is organizing its final Training School, focused on Big Data in simulations and observations. 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. Challenges are similar in astronomy and Earth Observation, with signal processing, statistics, machine learning, and computer science as the common denominator. BigSkyEarth Training Schools aim at boosting the communication within and between disciplines and applications areas by propagating and advancing relevant common solutions developed within Big Data analysis and management research and industrial environments. Their goal is to contribute with a valuable know-how encompassing from sensor and data modelling, features extraction and metadata, information representation, data structures, pattern recognition, statistical/machine learning, data analytics, advanced visualisation, to data mining and KDD.
Advanced software programming for astrophysics and astroparticle physics from 04 June 2018 09:05 PM to 08 June 2018 09:05 PM Annecy FR,
This is the Second ASTERICS-OBELICS International School devoted to project development for astrophysics & astroparticle. The aim of the school is to provide theoretical and hands-on training on Python development. OBELICS stands for OBservatory E-environments LInked with common ChallengeS. OBELICS is one of the workpackages of H2020-ASTERICS. It aims at enabling interoperability and software re-use for the data generation, integration and analysis of the cluster of ESFRI and pathfinder facilities in Astronomy and Astroparticle Physics.
Hotwiring the Transient Universe VI from 19 August 2019 09:25 AM to 22 August 2019 09:25 AM Evanston IL USA,
Hot-wiring the Transient Universe 6 will explore opportunities and challenges of massively parallel time domain surveys coupled with rapid coordinated multi-wavelength follow-up observations. The interdisciplinary agenda includes future and ongoing science investigations, information infrastructure for publishing observations in real time, as well as novel data science to classify events and systems to optimize follow-up campaigns. Time domain astronomy is at the fore of modern astrophysics and crosses fields from solar physics and solar system objects, through stellar variability, to explosive phenomena at galactic and cosmological distances. Recent rapid progress by instruments in space and on the ground has been toward a continuous record of the electromagnetic sky with ever increasing coverage, sensitivity, and temporal resolution. With the advent of gravitational wave and neutrino observatories we are witnessing the birth of multi-messenger astronomy.
Workshop on Maximizing the Scientific Return of NASA Data from 30 October 2018 01:55 PM to 31 October 2018 01:55 PM Washington DC USA,
The workshop will bring together thought leaders from academia, industry, and government to gather community input to inform the development of a new SMD [Science Mission Directorate] Strategic Plan for Scientific Data and Computing. This Strategic Plan will be used to guide the evolution of the array of data and computing systems supporting research across the four science areas within SMD over the next five years. The Strategic Plan will reflect a new, whole-of-SMD approach that leverages advances in information technology to enable groundbreaking scientific research. To learn more about SMD's efforts to inform the new Strategic Plan, see FedBizOpps' announcement for the Request for Information: Inputs to SMD Strategic Plan or Scientific Data and Computing.
2019 Conference on Big Data from Space (BiDS'19) - Turning Data into Insights from 19 February 2019 03:25 PM to 21 February 2019 03:25 PM Munich DE,
Big Data from Space refers to the massive spatio-temporal Earth and Space observation data collected by a variety of sensors - ranging from ground based to space-borne - and the synergetic use of data coming from other sources and communities. This domain is currently facing sharp development with numerous new initiatives and breakthroughs from intelligent sensors' networks to data science application. These developments are empowering new approaches and applications in various and diverse domains influencing life on earth and societal aspects, from sensing cities, monitoring human settlements and urban areas to climate change and security. BiDS'19 is sponsored by ESA, JRC/EC, and SatCen.
AstroData2020s Science Workshop from 04 December 2018 02:25 PM to 07 December 2018 02:25 PM Pasadena CA USA,
Aimed at facilitating community preparation for the [U.S. National Academy of Sciences] 2020 Astronomy and Astrophysics Decadal Survey, this meeting will provide a forum for discussing the major science drivers in the next decade that will require an evolution in community access to computing, networking, and data archiving tools and facilities. In addition, we will bring together people involved in data creation, dissemination, and consumption to identify community needs surrounding astronomy data in the 2020s. The meeting is intended to lead to the formulation or coordination of white paper submissions to the Decadal Survey. Hosted by Caltech's Infrared Processing & Analysis Center.
Data Science splinter meeting, AAS #233 from 07 January 2019 02:35 PM to 08 January 2019 02:35 PM Seattle WA USA,
We are organizing a 1-2 day Data Science Meeting that we hope will cover a wide range of topics and that is aimed specifically at astronomers-turned-data-scientists (ATDS) who are currently working as data scientists in industry. This will be held as a Splinter Meeting during the upcoming Winter AAS Meeting in Seattle (January 6-10, 2019), either on Monday (Jan 7) and/or Tuesday (Jan 8) of the meeting. The inspiration for the Meeting is our desire (shared by many of our friends and colleagues from both data science and astronomy) to create a more cohesive community among ATDS and between ATDS and current astronomers (especially those who use data science tools and techniques in their research, as well as those who might be interested in transitioning into a data science career).
4th International Conference on Big Data and Information Analytics (BigDIA) from 17 December 2018 06:25 PM to 19 December 2018 06:25 PM Houston TX USA,
The purpose of of the 4th International Conference on Big Data and Information Analytics (BigDIA2018) is to promote interactions and collaborations among all scientists, researchers and practitioners who develop data science theories, algorithms and methods to deal with and analyze Big Data from different perspectives such as computer science, statistics, engineering, informatics, mathematics and other quantitative/computational sciences as well as domain-specific disciplines.
Deep Learning for Multimessenger Astrophysics: Real-time Discovery at Scale from 16 October 2018 08:55 PM to 17 October 2018 08:55 PM Urbana IL USA,
Topics include: signals processing for gravitational wave discovery and electromagnetic followup; modeling and simulation of MMA sources; machine and Deep Learning relevant for MMA; reproducibility and interpretability; sharing tools and data; MMA algorithms and brokers; best practices; roadmap to software stacks and future collaborations. The workshop is held at the National Center for Supercomputing Applications, and is cosponsored by NVIDIA and the Argonne Leadership Computing Facility.
AAS Data Science Splinter Meeting from 07 January 2019 09:25 AM to 08 January 2019 09:25 AM Seattle WA USA,
This meeting will be held as a splinter meeting during American Astronomical Society #233 meeting in Seattle. On Monday, Jthe speakers will be Astronomers turned Data Scientists (ATDS) who are currently working in industry. On Tuesday, we will help facilitate informal, more focused meet-ups/discussions - depending on who attends the splinter session and the domains of expertise of the attendees. On Tuesday afternoon, the AAS Employment Committee is hosting a Career Panel on how to transition to data science and a Career Fair where employers can talk to job seekers.
Large surveys with small telescopes: Past, Present, and Future (Astroplate III) from 11 March 2019 09:50 AM to 13 March 2019 09:50 AM Bamberg DE,
Large wide-field surveys have been carried out since more than a century, starting with the Carte du Ciel in the late nineteenth century and have been recorded on photographic plates. Wide field surveys are carried out with small telescopes and cameras. The information stored in photographic plates distributed around the globe became accessible only recently, by digitization. Because a huge amount of data is piling up in the data bases of the different projects an important task is to combine the information and harvest it in an optimum way. To this end, the meeting aims to bring together researchers working on the photographic heritage, with those involved in ongoing and future digital surveys. Combing data sets requires in depth knowledge of calibration. Studying the objects requires the sophisticated tools of astroinformatics (big data, deep learning), which shall be addressed in the conference’ program.
62nd World Statistics Congress - Astrostatistics session from 18 August 2019 09:55 AM to 23 August 2019 09:55 AM Kuala Lumpur ML,
This is the large, biennial international conference of the International Statistical Institute & 7 associated societies (~2500 attendees, ~1300 papers). It includes an Invited Paper Session entitled "ASTROSTATISTICS: CHALLENGES IN TIME DOMAIN ASTRONOMY" (IPS 96) sponsored by the ISI Special Interest Group in Astrostatistics. Contributed papers on this topic are welcome.
Symposium on Data Science and Statistics from 29 May 2019 12:10 PM to 01 June 2019 12:10 PM Bellevue WA USA,
The American Statistical Association and Interface Foundation of North America invite you to join us at the second annual Symposium on Data Science and Statistics. SDSS provides a unique opportunity for data scientists, computer scientists, and statisticians to come together and exchange ideas. SDSS 2019 will offer many occasions to learn about new data tools and methodologies, see data science in action, and network with experts. Sessions will center on: computational statistics, data science technologies, data visualization, education, machine learning, practice & applications, software.
Enabling Multi-Messenger Astrophysics in the Big Data Era Workshop from 25 April 2019 09:30 AM to 26 April 2019 09:30 AM Baltimore MD USA,
Stellar deaths and their afterlives are laboratories that test fundamental physics through astrophysics. The advent of extremely wide-field surveys will revolutionize this field, and we will be able to probe new time and energy scales. The community will need to build new infrastructure and change existing paradigms to maximize the science return of these facilities. This workshop will connect scientists with expertise in multi-messenger astrophysics with statisticians, data scientists, and software developers. Together, they will highlight what infrastructure exists, identify how these pieces may be connected together into a larger ecosystem, and develop a roadmap to prepare for future surveys.
Data Science Town Hall at Winter AGU meeting 13 December 2018 08:40 AM Washington DC USA,
The Fall AGU meeting with 20,000+ scientists is holding a Town Hall TH45A: Data Science and a New Scientific Frontier. The goal of this town hall is to bring together these communities and groups from the field of space science to discuss cohesive approaches to the development of appropriate data infrastructures and to the creation of data-capable workforces. Though the emphasis will be on the discipline of space science, the discussion will be decidedly broad, addressing the connections between disciplines through methodology transfer. This town hall will provide a brief introduction to current efforts to transform the field of space science through data-driven discovery, including the National Science Foundation’s “Harnessing the Data Revolution”, the National Academy of Sciences Space Studies Board’s “Best Practices for a Future Open Code Policy for NASA Space Science”, and the NASA "Frontier Development Laboratory". The session will feature updates from each agency and provide a discussion period for the community to engage with agency representatives. Goals include providing a forum for interaction between NASA, the NSF, the NAS, and the space science community.
Virtual town hall on Scalable Cyberinfrastructure to support Multi-Messenger Astrophysics (SCiMMA) 11 December 2018 10:45 AM Virtual,
Recent breakthrough observations of GW170817A and IceCube-170922A highlight the promise, opportunities and challenges of the emerging field of Multi-Messenger Astrophysics (MMA). The Community Planning for Scalable Cyberinfrastructure to support Multi-Messenger Astrophysics (SCiMMA; project invites interested physicists, astronomers, computer scientists, data scientists and others to participate in an NSF-funded community planning project to understand and document the cyberinfrastructure needs to realize the promise of MMA. The Town Halls will occur: 11 December 2018 at 11:00 US/Central and 18 December 2018 at 14:00 US/Central. Join via Zoom from PC, Mac, Linux, iOS or Android.
Gravitational Wave Open Data Workshop #2 from 08 April 2019 03:05 PM to 10 April 2019 03:05 PM Paris FR,
A new astronomy based on gravitational waves was born with the first advanced LIGO and advanced Virgo discoveries and will develop with the third observation run, O3, that will begin in 2019. Bulk data from past observation runs and data snippets around the discoveries are made publicly available at, along with associated software libraries. This workshop is intended for students or more senior scientists that wish to learn about these data and software in order to conduct research in the field of gravitational-wave astronomy. The workshop will offer participants a hands-on introduction to working with software tools that allow to access and analyze open gravitational-wave data. Participants are expected to bring a laptop computer. Some previous experience with python programming and/or signal processing will be helpful, but not required.
Joint Statistical Meeting from 27 July 2019 12:55 PM to 01 August 2019 12:55 PM Denver CO USA,
The annual meeting of several large North American scholarly societies, this conference has 6000+ attendees, dozens of short courses, and presentations on with ranging from statistical applications to methodology and theory to the expanding boundaries of statistics, such as analytics and data science. The Monday session organized by the ASA Astrostatistics Special Interest Group has talks on statistical challenges in research on exoplanets, galaxy redshifts, signal processing, and pulsars.
Artificial Intelligence Methods in Cosmology Workshop (AICosmo2019) from 09 June 2019 10:20 AM to 12 June 2019 10:20 AM Ascona CH,
Cosmological observations entered an era where the volumes of data collected by telescopes are immense. At the same time, incredible progress has recently been made in the fields of Artificial Intelligence and Machine Learning - sciences of creating advanced mathematical and statistical models to learn from the data. In this workshop, we would like to explore the possibilities of applying these new methods to cosmological data. The benefits can potentially be vast, such as enabling extremely fast analyses of very large image datasets, accelerating cosmological simulations, and extracting more information from the data, to name a few. Machine Learning can also potentially greatly benefit from collaboration with cosmologists: new cosmological datasets can stimulate developments of new, complex learning methods and algorithms. By bringing together researchers from Cosmology and Machine Learning, we aim to foster collaboration between these two disciplines. Sponsored by ETH Zurich.
The Correlated Universe (CosKASI 2019) from 22 April 2019 10:55 AM to 27 April 2019 10:55 AM Seogwipo KR,
The quest to construct a complete and consistent cosmological model relies on combining data from a number of different sources. Data from the cosmic microwave background, standard candles, sirens, and rulers, the cosmological large-scale structure, and the abundances of chemical elements have all been combined to create the concordance model of cosmology, ΛCDM. As the data expands, there may be correlations between the data sets, and often the strongest constraints and greatest gain in knowledge can come from the correlations inside and between datasets. In the workshop we will discuss the opportunities that current and future data represent, the space of theories that can be tested with such data, as well as the sharing of ideas and techniques. Sponsored by the Cosmology Group at the Korea Astronomy & Space Science Institute.
Kavli Summer Program In Astrophysics 2019: Machine Learning in the era of large astronomical surveys (KSPA 2019) from 08 July 2019 11:10 AM to 16 August 2019 11:10 AM Santa Cruz CA USA,
The past decade has ushered in the era of Big Data in astronomy -- multiple surveys that image large areas of the night sky, spectroscopic programs that compile millions of spectra each comprised of thousands of data-points, and large-scale numerical simulations capable of generating Terabytes of outputs in a single run. This torrent of data is forcing the astronomical community to evolve away from traditional approaches to data analysis. Even algorithms and techniques developed for modest datasets are being overwhelmed or lack sufficient generality to efficiently extract science from the largest datasets. These challenges have inspired astronomers to introduce tools developed in the data-science industry, i.e. to apply machine-learning to pursue science in the era of Big Data. The 2019 Kavli Summer Program will be focused on the application of machine-learning techniques in astronomy. We will host lectures and research projects covering a diversity of these techniques -- random tree forests, deep learning algorithms, Gaussian processes, and more, applied to imaging, spectroscopic, and computational datasets.
Python in Astronomy 2019 14 February 2019 11:15 AM Baltimore MD USA,
The fifth Python in Astronomy Conference aims to bring together a wide variety of developers, educators and other contributors to Python packages in the context of all forms of astronomy. The conference will include unconference sessions, presentations, sprints and tutorials. As well as expanding the community around astronomical uses of Python, the conference aims to improve collaboration and interoperability between Python packages, and to share knowledge on Python packages and techniques.
Astro Hack Week 2019 from 26 August 2019 11:15 AM to 30 August 2019 11:15 AM Cambridge UK,
AstroHackWeek is, in part, a summer school. The mornings will offer lectures and exercises covering essential skills for working effectively with large astronomical datasets. Past years have seen topics such as machine learning, Bayesian inference, frequentist statistics, databases, numerical Python, and visualization. AstroHackWeek is also an unconference and hackathon. The afternoon every day is entirely unstructured, and offers opportunities for collaborative research, breakout sessions on special topics, and application of the concepts covered during the morning sessions. Come with a project in mind, join someone else's or apply a new skill to an old problem. Hosted by the Kavli Institute for Cosmology, Cambridge University.
Astronomical Data Analysis and Software Systems XXIX from 06 October 2019 11:20 AM to 10 October 2019 11:20 AM Groningen NL,
This is the 29th annual international Astronomical Data Analysis Software & Systems (ADASS) conference, followed by the International Virtual Observatory Alliance meeting.
SIAM International Conference on Data Mining (SDM19) from 02 May 2019 11:55 AM to 04 May 2019 11:55 AM Calgary CA,
SDM has established itself as a leading conference in the field of data mining and provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. SDM emphasizes principled methods with solid mathematical foundation, is known for its high-quality and high-impact technical papers, and offers a strong workshop and tutorial program. Astronomy & astrophysics is one area of application. Sponsored by the SIAM Activity Group on Data Mining and Analytics in cooperation with the American Statistical Association.
11th International Workshop on Bayesian Inference in Stochastic Processes (BISP11) from 12 June 2019 12:05 PM to 14 June 2019 12:05 PM Madrid ES,
The workshop will provide an opportunity to review, discuss and explore directions of development of Bayesian Inference in Stochastic Processes. Theoretical and applied contributions are both welcome. A non-exhaustive list of topics includes Markov processes, state-space models, spatial, empirical, birth-death and branching processes, queueing, population modelling, signal processes, stochastic differential equations. All sessions at this symposium will be plenary, with a mix of invited and contributed talks. A special issue of RACSAM will be prepared. Sponsored by the Spanish ICMAT and Real Academia de Ciencias and by the Intl Society of Bayesian Analysis.
Deep Learning Summit from 24 October 2019 12:15 PM to 25 October 2019 12:15 PM Montreal CA,
Discover advances in deep learning algorithms and methods from the pioneers who are paving the way in research and scientific improvements. Learn from leading innovators in deep learning frameworks, neural networks, transfer learning, GPUs and more.. 70 speakers & 700 attendees expected. Designed for data scientists & engineers, machine learning scientists, and business leaders. Speakers include: Joshua Bengio, Geoffrey Hinton and Yann LeCun. Topics include: neural networks, natural language processing, computer vision, pattern recognition, speech recognition, AI assistancts, image retrieval & autonomous vehicles.
15th International Conference on Data Science (ICDATA'19) from 29 July 2019 12:25 PM to 01 August 2019 12:25 PM Las Vegas NV USA,
Formerly the International Conference on Data Mining, this conference is part of CSCE'19 (2019 World Congress in Computer Science, Computer Engineering, and Applied Computing) with 1000-2000 expected participants. CSCE provides a unique platform for a diverse community of constituents composed of scholars, researchers, developers, educators, and practitioners. It assembles a spectrum of affiliated research conferences, workshops, and symposiums into a coordinated research meeting held in a common place at a common time. This model facilitates communication among researchers in different fields of computer science, computer engineering, and applied computing. The Congress also encourages multi-disciplinary and inter-disciplinary research initiatives; ie, facilitating increased opportunities for cross-fertilization across sub-disciplines.‘
La Serena School for Data Science: Applied Tools for Data-driven Sciences from 19 August 2019 09:15 PM to 28 August 2019 09:15 PM La Serena CL,
The volume and complexity of astronomical data continues to grow as the current generation of surveys come online (PanSTARRS, Dark Energy Survey, VISTA). This poses the challenges of developing and using new tools for data discovery, access, and analysis. At the same time, there are new opportunities for interdisciplinary research in applied mathematics, statistics, machine learning, crowd-sourcing, etc. The LA SERENA SCHOOL 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 examples. Participants will work on team-based projects and be provided training and access to the National Laboratory for High Performance Computing located at the University of Chile's Center for Mathematical Modeling.
Physics in Machine Learning Workshop 29 May 2019 09:15 PM Berkeley CA USA,
This workshop will focus on substantive connections between machine learning (including but not limited to deep learning) and physics (including astrophysics). Namely, we are interested in topics like imbuing physical laws into training (e.g., physics regularization of layers), learning new physical phenomena from learned models, physics-constrained reinforcement learning, prediction outside training parameters, and the (physical) interpretability of models.
19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research from 11 March 2019 09:30 PM to 15 March 2019 09:30 PM Saas Fee CH,
The 19th edition of ACAT will bring together experts to explore and confront the boundaries of computing, automated data analysis, and theoretical calculation technologies, in particle and nuclear physics, astronomy and astrophysics, cosmology, accelerator science and beyond. ACAT provides a unique forum where these disciplines overlap with computer science, allowing for the exchange of ideas and the discussion of cutting-edge computing, data analysis and theoretical calculation technologies in fundamental physics research. There is a fundamental shift occurring in how computing is used in research in general and data analysis in particular. The abundance of inexpensive, powerful, easy to use computing power in the form of CPUs, GPUs, FPGAs, etc., has changed the role of computing in physics research over the last decade. The rise of new techniques, like deep learning, means the changes promise to keep coming. Even more revolutionary approaches, such as Quantum Computing, are now closer to becoming a reality.
At the Crossroad of Physics and Machine Learning from 11 February 2019 01:55 PM to 15 February 2019 01:55 PM Santa Barbara CA USA,
The ongoing developments in machine learning are influencing physics research and offer the potential to open new routes to discovery. Simultaneously, concepts from physics are being used to better understand some of the machine learning methods and inspire new ones. This conference will gather researchers on the forefront of these developments to discuss existing key progress and promising new directions. We will highlight the use of machine learning in several areas of data-intensive physics including condensed matter, soft-matter, high-energy physics, cosmology, and astrophysics. Organized by the Kavli Institute for Theoretical Physics (KITP) at the University of California Santa Barbara
Physics Meets Machine Learning from 25 April 2019 02:00 PM to 26 April 2019 02:00 PM Redmond WA USA,
The goal of Physics ∩ ML (read ‘Physics Meets ML’) is to bring together researchers from machine learning and physics to learn from each other and push research forward together. In this inaugural edition, we will especially highlight some amazing progress made in string theory with machine learning and in the understanding of deep learning from a physical angle. Nevertheless, we invite a cast with wide ranging expertise in order to spark new ideas. Plenary sessions from experts in each field and shorter specialized talks will introduce existing research. We will hold moderated discussions and breakout groups in which participants can identify problems and hopefully begin new collaborations in both directions. For example, physical insights can motivate advanced algorithms in machine learning, and analysis of geometric and topological datasets with machine learning can yield critical new insights in fundamental physics. From Microsoft Research; please contact an organizing member if you wish to participate in this workshop.
Hyperspectral Sensing meets Machine Learning and Pattern Analysis (HyperMLPA) 14 June 2019 02:05 PM Enschede NL,
HyperMLPA is an interdisciplinary workshop which aims at bringing together people of different communities and disciplines involved in hyperspectral sensing, machine learning, and pattern analysis. People are invited to contribute in sensor development and calibration, to present and publish new datasets, to present innovative methodological advancements, and to share the latest results and findings of application-oriented work. This event is part of Geospatial Week 2019 sponsored by ISPRS, 10-14 June at the University of Twente.
International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop from 03 February 2019 02:15 PM to 08 February 2019 02:15 PM Villars-sur-Ollon CH,
The International BASP Frontiers workshop was created to promote synergies between selected topics in astronomy and medicine, around common challenges for signal processing. Building on the success of the first four workshops (2011, 2013, 2015 and 2017), BASP Frontiers 2019 will gather around 100 participants and open its floor to many interesting hot topics in theoretical, astrophysical, and biomedical signal processing, with a particular focus on imaging.
NASA Frontier Development Lab (FDL 2019) from 24 June 2019 02:20 PM to 16 August 2019 02:20 PM
The Frontier Development Lab (FDL) is a 6-week workshop to apply AI technologies to space science to push the frontiers of research and develop new tools to help solve some of the biggest challenges that humanity faces. These range from the affects of climate change to predicting space weather, from improving disaster response, to identifying meteorites that could hold the key to the history of our universe. FDL is a public-private partnership with NASA in the USA (hosted by the SETI Institute) and ESA in Europe. The FDL yearly cycle starts with challenge definition. Early in the year, we bring together some of the brightest and best minds we can find, from space science, AI and technology, and on/off-Earth applications to explore our challenge areas. FDL challenges must represent a clear and present scientific problem, for which there is available data, that could be significantly advanced by AI tools and techniques.
NASA Frontier Development Lab - Europe (FDL-Europe) from 24 June 2019 03:05 PM to 16 August 2019 03:05 PM Oxford UK,
The Frontier Development Lab (FDL) is a 6-week workshop to apply AI technologies to space science to push the frontiers of research and develop new tools to help solve some of the biggest challenges that humanity faces. These range from the affects of climate change to predicting space weather, from improving disaster response, to identifying meteorites that could hold the key to the history of our universe. FDL is a public-private partnership with NASA in the USA (hosted by the SETI Institute) and ESA in Europe (since 2018). The FDL yearly cycle starts with challenge definition. Early in the year, we bring together some of the brightest and best minds we can find, from space science, AI and technology, and on/off-Earth applications to explore our challenge areas. FDL challenges must represent a clear and present scientific problem, for which there is available data, that could be significantly advanced by AI tools and techniques.
Cosmostatistics Initiative Residence Program #6 from 24 August 2019 09:55 PM to 31 August 2019 09:55 PM Morzine FR,
The Cosmostatistics Initiative (COIN) is a worldwide endeavour aimed to foster interdisciplinary collaborations to solve data-driven scientific challenges. COIN Residence Programs (CRPs) are unstructured meetings, offering opportunities for collaborative research, learning, and transference of skills. They are composed of young and senior researchers from astronomy, statistics, computer science and related disciplines alike. The group utilizes a management model somewhat similar to technological start-ups. Our dynamic, non-hierarchical, and people-centric approach enables innovation in scientific research, while helping its members to enhance their career paths. A complete report of COIN projects, results and previous meetings can be found in the COINtoolbox. COIN is a branch of the International Astrostatistics Association.
Summer School in Statistics for Astronomers XV from 03 June 2019 09:55 PM to 07 June 2019 09:55 PM University Park PA USA,
Penn State's Center for Astrostatistics is continuing its annual Summer Schools in Statistics for astronomers designed for graduate students and researchers in astronomy. Lectures and tutorials are presented by a team of experienced professors in statistics, astronomy, computer science, and informatics. Classroom instruction is interspersed with hands-on analysis of astronomical data using the R statistical software environment with opportunity for discussion of methodological issues.
School of Statistics for Astrophysics 2019: Variability and Time Series Analysis from 06 October 2019 06:00 PM to 11 October 2019 02:00 PM Autrans (France),
This is the fourth session of the School of Statistics for Astrophysics (Stat4Astro). The topic of the 2019 session is the time series (including variabilities and transient events) that, from celestial mechanics to gravitational waves, from exoplanets to quasars, concern nearly all the astrophysics. Variable phenomena are ubiquitous in the Universe: periodic (orbits, cycles, pulses, rotations...), transient (explosions, bursts, stellar activity...), random (accretion, ejection...) or regular (apparent motions...). The detection, the characterization and the classification of these variabilities is a discipline of statistics called time series analysis. In astrophysics, the detection can be immediate to alert other telescopes, or very detailed to identify some exoplanets or probe the interior of stars. The characterization is required for the physical modeling and understanding. Classification is of course necessary to organize the observations.
1st International Conference on Modeling, Machine Learning and Astronomy (MMLA) from 22 November 2019 05:25 PM to 23 November 2019 05:25 PM Bengaluru IN,
Optimizing deep neural networks is largely thought to be an empirical process, requiring manual tuning of several parameters.The conference aims to focus on gaining theoretical insights in the computation and setting of these parameters. The organizers solicit papers that focus on exploring alternatives to gradient descent/ascent types methods. We would welcome cutting-edge research on aspects of deep learning theory used in the fields of artificial intelligence, statistics and data science, theoretical and numerical optimization. Astronomy is a fascinating case study as it had embraced big data embellished by many sky-surveys. The variety and complexity of the data sets at different wavelengths, cadences etc. imply that modeling, computational intelligence methods and machine learning need to be exploited to understand astronomy. The inter-disciplinary study of astroinformatics brings together machine learning theorists, astronomers, mathematicians and computer scientists underpinning the importance of machine learning algorithms and data analytic techniques. The Conference aims to set a unique ground as an amalgamation of the diverse ideas and techniques while staying true to the baseline. We expect to discuss new developments in modeling, machine learning, design of complex computer experiments and data analytic techniques which can be used in areas beyond astronomical data analysis. The meeting is sponsored by: Department of Computer Science and Engineering & Center for AstroInformatics, Modeling and Simulation, PES University; IEEE Computer Society Bangalore Chapter; and International Astrostatistics Association.
Astroinformatics 2019 from 24 June 2019 03:25 PM to 27 June 2019 03:25 PM Pasadena CA USA,
This is the tenth in the series of the annual Astroinformatics conferences. Their intent is to stimulate the development of this vibrant field, which is essential for the data-rich, computationally enabled astrophysics in the 21st century. Our goals are to assemble researchers working in this field, in order to describe their latest work in this arena, exchange ideas with the other participants, and discuss the future prospects for the field. Topics to be covered include: machine learning and other methods of advanced data analytics, processing, handling, and distribution of large data sets, data visualization, methodology transfer in data science, etc. A special emphasis will be given to the examples of new results obtained through the use of astroinformatics tools. The conference is sponsored in part by the Center for Data-Driven Discovery (CD3) and the Astronomy Department at Caltech, the Center for Data Science and Technology at JPL (CDST), and several other organizations.
2019 International Conference on Time Series and Forecasting (ITISE-2019) from 25 September 2019 11:15 AM to 27 September 2019 11:15 AM Granada ES,
The ITISE 2019 seeks to provide a discussion forum for scientists, engineers, educators and students about the latest ideas and realizations in the foundations, theory, models and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, forecaster, econometric, etc, in the field of time series analysis and forecasting. The aims of ITISE 2019 is to create a a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees, and therefore, ITISE 2019 solicits high-quality original research papers (including significant work-in-progress) on any aspect time series analysis and forecasting, in order to motivating the generation, and use of knowledge and new computational techniques and methods on forecasting in a wide range of fields. Sponsored by the IEEE Computational Intelligence Society and other organizations.
Astro@State 2017: Sino-Italian Workshop on Astrostatistics 07 September 2017 04:55 PM Padua It,
Modern astronomy and cosmology heavily rely on statistical methods. At the same time, the recent explosion of available data, which for instance results from current and future astronomical sky surveys, provides unique challenges, and opportunities, to statistics. Several statistical challenges appearing in astrophysical research also arise in other fields of physics, such as particle physics. The aim of this workshop is to foster the interchange of ideas among astronomers, physicists and statisticians working at, and with, the University of Padova. The event has three sessions dedicated to academic talks by senior researchers, a junior speed session and a poster session.
TDLI Summer School on Computational Astrophysics from 15 May 2019 07:45 AM to 24 May 2019 07:45 AM Shanghai CN,
The Tsung-Dao Lee Institute (TDLI) in Shanghai, China, is organising a series of Summer Schools in the field of Computational Astrophysics. This 3rd School in the series will be on Radiative Transfer, one of the most challenging yet ubiquitous pieces of physics. Prof. D. John Hillier from University of Pittsburgh, USA will be the lecturer. The main goal of this School is to teach students how to understand, use, and write radiative transfer codes.
12th Int'l Conference of ERCIM Working Group on Computational and Methodological Statistics (CM Statistics 2019) from 14 December 2019 03:20 PM to 16 December 2019 03:20 PM London UK,
The European Research Consortium for Informatics and Mathematics (ERCIM) aims to foster collaborative work within the European research community and to increase co-operation with European industry. The working group CMStatistics focuses on all computational and methodological aspects of statistics. Of particular interest is research in important statistical applications areas where both computational and/or methodological aspects have a major impact. The aim is first, to consolidate the research in computational and methodological statistics that is scattered throughout Europe; second to provide researches with a network from which they can obtain an unrivalled sources of information about the most recent developments in computational and methodological statistics as well as its applications; This meeting includes an invited session on Astrostatistics, organized by Prof. Alessandra Brazzale (Padua).
Workshop in Computational Intelligence in Remote Sensing & Astrophysics from 17 July 2019 09:30 AM to 19 July 2019 09:30 AM Heraklion GR,
At any given day, locations on the Earth are imaged by numerous satellites, including the European Space Agency’s Sentinel family, which are constantly providing critical measurements regarding the environment and its dynamics. Future observations for cutting-edge astrophysical research from terrestrial and spaceborne observatories, such as SKA, LSST and EUCLID, will provide massive amounts of data. Traditional approaches for the analysis of observations involving the manual exploration by experts are facing significant challenges when dealing with the huge volumes of observations. The workshop on Computational Intelligence in Remote Sensing and Astrophysics (CIRSA) aims at bringing together researchers from the environmental sciences, astrophysics and computer science communities in an effort to understand the potential and pitfalls of novel computational intelligence paradigms including machine learning and large-scale data processing.
School on Programming with Python: Applications to Cosmology and Nonlinear Dynamics from 18 March 2019 02:55 PM to 23 March 2019 02:55 PM Kolkata IN,
The primary target of the school is to provide a first course on Python followed by its applications to modern aspects of Cosmology and Nonlinear Dynamics. There will be lectures and hands-on session on Python programming for the first two days after which students will be divided into two groups based on their specialized interests (Cosmology/ Nonlinear Dynamics). The target audience are mostly Advanced Masters and Doctoral students actively working on either of these two fields. This school is being hosted by the Physics and Applied Mathematics Unit of Indian Statistical Institute Kolkata.
Artificial Intelligence in Astronomy from 22 July 2019 04:10 PM to 26 July 2019 04:10 PM Garching DE,
It is certainly an understatement that Artificial Intelligence (AI) has taken the world by storm, with breakthroughs appearing almost daily in the news. Indeed, the incredible progress in computer power, the availability of large amounts of data and the ability to process them (even if they are unstructured), coupled to a theoretical understanding of techniques such as machine learning, and, more generally, data mining, has allowed AI to advance at a frantic rate, including in science. Astronomy is no exception. The workshop will have two aims: present the current landscape of methods and applications in astronomy and prepare the next generations of astronomers to embark on these fields. We aim at having a few invited talks by prominent speakers to clearly set the scene. This will be complemented by a series of contributed talks in order to provide a clear panorama of the current use of AI in astronomy. We also expect to have many posters showing various applications of AI in astronomy. In addition, we will offer several 3h-long tutorials and hands-on sessions to allow the participants to dig directly into the techniques.
Python in Astronomy 2019 from 29 July 2019 04:15 PM to 02 August 2019 04:15 PM Baltimore MD USA,
The fifth Python in Astronomy Conference aims to bring together a wide variety of developers, educators and other contributors to Python packages in the context of all forms of astronomy. The conference will include unconference sessions, presentations, sprints and tutorials. As well as expanding the community around astronomical uses of Python, the conference aims to improve collaboration and interoperability between Python packages, and to share knowledge on Python packages and techniques.
NARIS-EACOA Summer Workshop on Astrostatistics & Astroinformatics from 13 August 2019 04:15 PM to 17 August 2019 04:15 PM Chiang Mai TH,
NARIT-EACOA Summer Workshop on Astrostatistics and Astroinformatics will be held in Chiang Mai, Thailand, 13 to 17 August 2019. This workshop is open to students and astronomers in East and Southeast Asia and other countries who have interests in practical use of statistics and of statistical tools applicable to tackle modern astrophysical problems. The event is organized by the National Astronomical Research Institute of Thailand (NARIT) and National Astronomical Observatory of Japan (NAOJ).
2nd Italian Astrostatistics School from 24 June 2019 10:55 AM to 28 June 2019 10:55 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. Topic include: probability axioms, single parameter models, regression, Bayesian model comparison, Bayesian evidence. The instructor is Stefano Andreon, author of several textbooks in astrostatistics.
Astronomical Data Archives from 05 August 2019 08:05 PM to 08 August 2019 08:05 PM Sydney AU,
The goals of the meeting are to determine what areas of data archives we can collaborate on, and where we can share information, data and code. There is a lot of great work being done here with new technologies (as seen at the ADASS and IVOA meetings), and it would be great to avoid duplicating effort. And of course we’re all interested in interoperability.The meeting will be a mix of talks, Birds of a Feather sessions, mini-workshops, a networking session, and a discussion about things to take away from the meeting and possibly report on at a future meeting. We are also planning a poster session and some mini-workshops on useful topics that would aide the Data Archives community. Sponsored by Data Center at the Australian Astronomical Observatory.
4th Planetary Data Workshop from 18 June 2019 07:40 PM to 20 June 2019 07:40 PM Flagstaff AZ USA,
The wealth of data 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 goal of these “planetary data” workshops is to bring together planetary data users, space mission data providers, 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.
Software Systems in Astronomy (SSFA) from 15 July 2019 07:40 PM to 26 July 2019 07:40 PM Hilo HI USA,
The 5th SSFA (Software Systems for Astronomy) is a course developed that teaches students the basics they need to produce software tools and systems that astronomers and telescope operators find intuitive and efficient to operate. SSFA provides a bridge between these two disciplines, the branch of astronomy that teaches students practical observing skills and the branch of computer science that teaches students how to develop reliable, user-friendly, software systems. This course will be offered by Dr. Albert Conrad.
Artificial Intelligence for Science, Industry and Society from 21 October 2019 12:35 PM to 25 October 2019 12:35 PM Mexico City MX,
The recent progress in Artificial Intelligence and Machine Learning has provided new ways to process large data sets. The new techniques are particularly powerful when dealing with unstructured data or data with complex, non-linear relationships, which are hard to model and analyse with traditional, statistical tools. This has triggered a flurry of activities both in industry and science, developing methods to tackle problems which used to be impossible or extremely hard to deal with. Due to this situation, we are proposing to organise a meeting where the following key elements would be covered: The progress of AI in several scientific domains connected with big data like astro physics, high energy physics, astronomy, and life sciences; The service providers with their hardware and software developments; The policy aspects of the AI implementation. The meeting is oriented towards scientists and educators as well as industry and policy makers in R&D. The conference will have two talks on astronomy.
10th Workshop on Hyperspectral Image and Signal Processing (Whispers 2019) from 24 September 2019 11:15 AM to 26 September 2019 11:15 AM Amsterdam NL,
This IEEE-sponsored workshop, entitled `Evolution in Remote Sensing', aims to bring together all the people involved in hyperspectral data processing. By data we mean: Signals, as provided by spectrometers and processed individually; Images, from the ground using microscopes and spectrometers to airborne or satellite sensors, up to astrophysical data; Models: models of the sensors or of the sensed scene, including physical considerations. By processing we mean everything from the acquisition, the calibration to the analysis (image processing, signal processing, feature extraction, dimension reduction, unmixing and source separation, classification). Massive data processing in radio astronomy will be covered.
Cornell Celebration of Statistics and Data Science 2019 06 September 2019 11:20 AM Ithaca NY USA,
Cornell University will host the annual Celebration of Statistics and Data Science (previously known as the Day of Statistics), bringing together some of the best minds in the field of statistics and data science to share their latest insights and discoveries.
ESAC Data Analysis and Statistics (EDAS) workshop 2019 from 02 December 2019 09:00 AM to 05 December 2019 05:00 PM Madrid,
machine learning workshop
Petabytes to Science workshop from 22 October 2019 02:05 PM to 24 October 2019 02:05 PM Boston MA USA,
bThe Association of Universities for Research in Astronomy (AURA) is organizing a series of workshops on “Petabytes to Science”, supported by The Kavli Foundation. These workshops aim to identify the highest priority technologies and capabilities required for a broad-based user community to take full scientific advantage of the opportunities in data-intensive astronomy being created by the Large Synoptic Survey Telescope (LSST), the Wide Field Infrared Space Telescope (WFIRST), and other massive survey facilities. We also looked at the implications for the workforce, education and public outreach. This is the third workshop.