Info Session: Stats Up AI Winter 2027 AI Leadership Academy

Thursday, October 15, 2026 - 12:00pm ET

Date of Stats Up AI Winter 2027 AI Leadership Academy: January 7-8, 2027

Are you ready to take a leadership role in shaping the future of artificial intelligence, data science, and statistics? Join us for an information session on the Stats Up AI Leadership Academy, a professional development initiative designed for experienced practitioners who are committed to advancing the responsible and impactful use of AI.

During this session, participants will learn about the academy's mission, curriculum, leadership development opportunities, mentorship and networking activities, and expectations for engagement. The Leadership Academy brings together professionals from academia, industry, government, and nonprofit organizations to strengthen their leadership skills, expand cross-sector collaborations, and build a community dedicated to addressing emerging challenges and opportunities at the intersection of AI and statistical sciences.

Attendees will gain insight into program benefits, participant expectations, and how the academy supports leaders in driving innovation, fostering ethical AI practices, and creating meaningful impact within their organizations and communities.

Who Should Attend: Mid-career professionals, faculty, researchers, and practitioners with experience in AI, machine learning, data science, statistics, or related fields who are interested in leadership development, professional networking, and advancing the future of AI through collaboration and evidence-based decision-making.

Registration is free, but advance registration is required.

Register on Zoom


About the The Stats Up AI Winter 2027 AI Leadership Academy (AILA) 

The Stats Up AI Winter 2027 AI Leadership Academy (AILA) will take place on January 7–8, 2027, at Rice University.

Designed for academic and industry leaders in statistics and data science, this intensive two-day academy provides a collaborative space to develop actionable, AI-aware initiatives in research, education, and team leadership.

 

Key Details:

For program details, speaker highlights, how to apply, and the application portal, please visit the AILA 2027 Website. You can also access the application via the online portal.

 

AILA Organizing Committee

  • Kiros Teghegne Berhane (ASA CAR representative)

  • David Matteson (NISS representative)

  • Judy Wang (Local Organization Chair) - Committee Chair

  • Wenyi Wang (Communication Chair)

  • Tian Zheng (Program Chair)

Event Type

Host

Stats Up AI Organizing Committee

Sponsor

NISS

Location

Zoom