Opening Workshop: December 9-11, 2019

** Deadline for applications is October 17, 2019 **

Location

This workshop will be held at Penn Pavilion on the campus of Duke University.

Description

Causality is a subject at the frontier of academic debate over research methodology in a wide range of data-based disciplines including statistics, computer science, as well as in social and medical sciences. The “big data” era has brought unprecedented challenges and opportunities for causal inference. This SAMSI program aims to advance causal inference research by bringing together leading mathematical, statistical, computational, and sciences researchers to pursue innovative methodology for causal inference and applications to important real-world problems.

** Planning for this event is ongoing and information will be updated here as it is made available **

** Notice of Consent **

SAMSI values the proprietary and intellectual property of our participants. The materials presented at our various workshops and programs are in high demand by event participants and the applied mathematics and statistics community that comprise our audience. Therefore, we encourage all of our invited speakers to share their materials, as appropriate, in order to pass along the valuable research that is being done in your field of study and is a focus of this event. In addition, unless SAMSI is give written approval from our speakers we ARE NOT authorized to share the materials presented at this event.

Please click HERE to complete a SAMSI Consent form for this event. SAMSI appreciates your time and willingness to share this valuable content with others and we hope you enjoy this event!

For any questions or concerns about our consent policy, please contact us at: communications@samsi.info


Confirmed speakers for this event include: