Planetary Science Informatics and Data Analytics

PSIDA 2024 has been postponed.

We received excellent submissions across all conference topics. Unfortunately, significant parts of the community have been affected by budget uncertainty this year, with the result that we received a lower-than-expected number of submissions. Thus, we have made the difficult decision to postpone the PSIDA 2024.

We understand the disappointment this news may bring. Rather than proceeding with a conference that lacks the vibrant exchange of ideas and diverse perspectives we had hoped for, we have chosen to reschedule at a future time around next year. You should hear from us in the coming months.

Conference goals

Tremendous growth in data 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, and 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.

Get involved

Following the success of the 3rd PSIDA conference in Madrid in 2022, we are pleased to invite you to join us at Washington University in St. Louis, USA on 16-18 July 2024 to discuss current topics in planetary science informatics and data analytics.

Program committee

  • Tom Stein – Washington University
  • Dan Crichton – Jet Propulsion Laboratory
  • Christophe Arviset – ESA/European Space Astronomy Centre
  • Megan Ansdell – NASA
  • Charlie Bowers – Dublin Institue for Advanced Studies
  • Victoria Da Poian – Goddard Space Flight Center
  • Ashish Mahabal – Caltech
  • Evridki Ntagiou – ESA/European Space Operations Centre
  • Indhu Varatharajan – Stony Brook University
  • Kiri Wagstaff – Congressional AI Advisor


PDS Geosciences Node