Invited Session Proposal Submission

The NESS Program Committee underscores that a successful invited session proposal is characterized by interesting and timely topics that are thoughtfully developed and include speakers representing the diversity of statistical science and society, including disciplinary field, gender, ethnicity, and institution.

  • Each invited session will be 90 minutes long with 4 speakers (or 3 speakers and a discussant) and a chair. The organizer can be a chair and/or participant in the session they are organizing. Session proposals are due by April 15, 2025.
  • All participants of the invited sessions that are accepted will be required to register for the conference by paying the registration fee.
  • The registration ID will be required to submit the title and abstract by May 5, 2025. Registration fee can be found here: https://symposium.nestat.org/registration.php.
  • All speakers should attend the conference in-person and present onsite.
  • Organizers need to contact speakers and obtain their consent prior to proposing them as potential speakers in the invited session. A speaker can speak in at most one session.
  • An invited panel discussion can also be proposed with 4 panelists and a moderator.

Due to limited capacity, we may need to select which sessions will be featured at the conference from among the submissions.

* required

Please specify the identification info and then submit a new proposal to replace the old one.
Instructions (separated by line breaks):
  • Invited sessions are 90 minutes in length with 4 speakers (or 3 speakers and a discussant) and a chair.
  • Short description of session, including focus, content, timeliness and appeal.
  • List of invited speakers and discussant (if any), including affiliations and email addresses for each and tentative title for each presentation.
Please list only the names separated by commas
                                       

If you are experiencing technical difficulties, please contact our webmaster at kvk24005@uconn.edu and mingye.chen@uconn.edu.