Call for Nominations: IEEE Big Data 2026 Women in Big Data Awards

62 views
Skip to first unread message

Juhua Hu

unread,
Sep 23, 2026, 9:36:03 AMSep 23
to Machine Learning News
Dear Colleagues,

We are pleased to announce that IEEE Big Data 2026 has introduced two new awards to recognize and celebrate the outstanding contributions of female researchers in the field of big data:

  • Young Female Scholar Award in Big Data
  • Female Student Award in Big Data

The Young Female Scholar Award recognizes a promising early-career female researcher who has demonstrated outstanding skills, innovation, and leadership in big data. The Female Student Award honors a female student whose research and academic endeavors have exhibited exceptional quality and promise.

Each award carries a prize of $1,000 and will be presented at the IEEE Big Data 2026 conference banquet. Winners must attend the conference in person to receive the award.


ELIGIBILITY

Both awards:
  • Applicants must have published at the IEEE Big Data conference previously.

Young Female Scholar Award:
  • Must have received her doctorate within the past ten years (graduation certificate required).

Female Student Award:
  • Must be currently enrolled as a student at the time of the award (not yet graduated).


HOW TO NOMINATE

Self-nominations and nominations of colleagues are both welcome. To nominate, please:

  1. Complete the Nomination Form: can be found at https://bigdataieee.org/BigData2026/calls/women-award/

  2. Send the completed form to:
     juh...@uw.edu

Note: Nomination requires a commitment to attend the conference if selected.


KEY DATES

  • Nomination deadline: October 12, 2026
  • Notification deadline: October 30, 2026


We strongly encourage you to nominate deserving female scholars and students from your institutions and networks. Please share this announcement broadly with colleagues, students, and professional communities who may be eligible or know of a strong candidate.

For questions, please contact the Women Forum Co-Chairs:

  Juhua Hu       University of Washington        
  Jin Ma         Case Western Reserve University
  Fanny Ye       University of Notre Dame

We look forward to receiving your nominations and to celebrating the women shaping the future of data science at IEEE Big Data 2026.

Warm regards,

Juhua Hu, Jin Ma, and Fanny Ye
Women Forum Co-Chairs, IEEE Big Data 2026
Reply all
Reply to author
Forward
0 new messages