DataX:  Data Science at Princeton

Call for Workshop Proposals

Deadline to Apply:  November 1, 2019


With the support of a major gift from Eric Schmidt ’76, his wife Wendy and the Schmidt Futures Foundation, the Center for Statistics and Machine Learning (CSML) is pleased to sponsor workshops on Data Science at Princeton.

This call seeks to support innovative and collaborative workshops in data science and machine learning aimed at accelerating scientific discovery across Princeton University. Our objective is to fund transformative inter-disciplinary workshops or events with high potential for subsequent impact on the broad research community.

To achieve these ends, we invite workshop proposals based on a diversity of intellectual approaches and personal backgrounds.  

Eligibility
Tenured and tenure-track Princeton faculty are invited to apply. Groups of postdoctoral fellows and/or graduate students are also encouraged to apply with faculty sponsor support.

Funding
We hope to fund several workshops in the first year.

Examples

Types of Workshops

Across-Discipline Topics

  • Tutorial Workshop
  • Networks and Machine Learning
  • Mini-Course
  • Security and Privacy
  • Half or Full Day Conference
  • Chemical Synthesis and Machine Learning
  • Science-Based Hackathon
  • Machine Learning for Medical Testing and Image Analysis
  • Workshop within a Princeton Conference
  • Physics and Machine Learning

We are open to new and unconventional ways of organizing your program, as well as traditional formats.  We welcome small, medium and large events. CSML and DataX will provide administrative support, including securing rooms, coordinating catering, advertising and promoting the workshops on social media events calendars.

Workshop Proposal Preparation and Submission Instructions

  • Title of workshop/event
  • Names of organizers (and faculty sponsor if needed)
  • Estimated budget (include details)
  • Approximate duration and proposed timeline
  • List of possible participants (both internal to Princeton and external)
  • Brief statement about the workshop topic, objectives and benefits

 

Please submit your proposal through the DataX Proposal Submission Webform.
NOTE:  A story about the workshop and its progress may be used on the CSML website.

Would You Like to Discuss an Idea or Have Additional Questions?
Please Contact: DataX Project Manager Ellen DiPippo (edipippo@princeton.edu)
 

About CSML: The Center for Statistics and Machine Learning collaborates on research and teaching that combines insights from computation, machine learning, statistics and the application of these ideas to specific application domains. To learn more, visit the CSML website at https://csml.princeton.edu/