PSIDA 2022

 

PLANETARY SCIENCE INFORMATICS AND DATA ANALYTICS CONFERENCE

 

Latest news

 

The programme has now been released!

Registration will be open until 27th May.

At this stage (May 2022), we are planning to hold a hybrid conference with a face-to-face meeting on site, and remote connection via Teams. More details can be found on the Venue and Transport Page.

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Following the success of the 1st edition of the PSIDA conference in St Louis in 2018, and the joint conference with the Planetary Data Workshop in Flagstaff in 2021, we are pleased to invite you to join us at ESAC (European Space Astronomy Centre) in Villanueva de la Cañada, Spain on 21-23 June 2022 to discuss current topics in planetary science informatics and data analytics.

Tremendous growth in the volume and complexity of data returned from planetary exploration, coupled with new and emerging data science technologies, are changing planetary science. From better calibrations to enhanced modelling to new methods for data management and discovery, informatics and data analytics are an increasingly important part of understanding and processing data from planetary missions. As a result, it is becoming increasingly important for the planetary science and data science communities to work together to research and develop applications of these technologies to support upcoming mission and science needs.


The PSIDA conference provides a forum to discuss approaches, challenges, applications of informatics and data analytics technologies and capabilities in planetary science. During the three days of the conference, participants will have the opportunity to share knowledge, experience and lessons learned in these fields and network with colleagues.

This year conference topics include, but are not limited to:

  • Data Architecture, Management and Technologies
  • Data Archiving
  • Data Interoperability
  • Data Exploitation and Collaboration Platforms
  • Visualisation and Analysis Applications
  • Artificial Intelligence and Machine Learning
  • Data Processing and Algorithm
  • Data Fusion/Data Integration
  • Big data, cloud computing, and scalable computing

 

Important dates regarding the conference organisation can be found here.