Previous Meetings and Events

The biennial WSC is the flagship conference of the International Statistical Institute (ISI) and its seven associations. It brings together eminent statisticians and members of the statistical community from the five continents to present, discuss, promote and disseminate research and best practice in every field of Statistics and its applications.This large biannual meeting typically has sessions on astrostatistics.

More information can be found here.

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.

More information can be found here.

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.

More information can be found here.

The 2017 SIS 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.

In the mention that statistics is the "grammar of data science", statistics has become a basic skill in data science: it gives right meaning to the data. Still, it isn't replaced by newer techniques from machine learning and other disciplines but it complements them.

The Conference is also addressed to the new challenges of the new generations: the native digital generations, who are called to develop professional skills as "data analyst", one of the more request professionality of the 21th Century, crossing the rigid disciplinary domains of competence. In this perspective, all the traditional statistical topics are admitted with an extension to the related machine learning and computer science ones.

The main venue of the Conference (registration desk, plenary and parallel sessions, general assembly) will be located in the rooms of the building D6 of the Polo delle Scienze Sociali of Novoli (Social Sciences Pole) of the University of Florence, Via delle Pandette 9.

The 1st Italian Astrostatistics School will be held at INAF-Osservatorio Astronomico di Brera, Milano from 12 to 16 June 2017.

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, lectured by Stefano Andreon and Roberto Trotta, is characterized by extended laboratory sessions (i.e. individual work at the computer), taking about two third of the school attendance. The capacity is limited to 35 participants (first come first served basis). The school is open to PhD students in astronomy, who have priority (they should register by May 15th), and if space allows, to post-doc and researchers. Attendance to the course has pre-requirements. For school program, details, and registration see here.
 

The next decade will see an explosion in the output from large surveys across all astronomical facilities and scales, e.g. APOGEE, GALAH Gaia-ESO, OzDES, DESI, WEAVE, 4MOST, and WALLABY. 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. It will also offer an opportunity to summarize the lessons that have been learnt in the past to help maximize the scientific return in the future.

More info can be found here.

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 will explore this question in specific astronomical contexts and a with a range of tools. 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. 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.

More info can be found here.

3th International Conference on Artificial Intelligence. The aim objective of ICOAI 2016 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Artificial Intelligence ...

The ESAC Data Analysis and Statistics workshop will be held at ESAC during the week of October 25 to 28, 2016. This is the third of a continuing series of annual workshops, the firsts of which were held in October 2014 and October 2015.

Registration for this workshop is open to everyone, and no prior knowledge of statistics or advanced data analysis methods is required. The tutors will be Roberto Trotta and Željko Ivezić.