NYU Events

Single Case Designs and Beyond Workshop

Friday, November 3, 2017
8:30 AM - 4:30 PM
NYU Steinhardt Kimball Hall
246 Greene Street 
Conference room 301W

This symposium brought practitioners and methodologists together to better understand the needs and use of single subject designs in rehabilitation and behavioral interventions. 


Introductory Remarks:

  • Dr. Ying Lu (NYU Steinhardt, PRIISM Center)

Morning Practitioner Talks:

  • Dr. Tara McAllister (NYU Steinhardt, Department of Communicative Sciences and Disorders): Using single-subject experimental methods to study interventions for speech disorder
  • Dr. Adam Buchwald (NYU Steinhardt, Department of Communicative Sciences and Disorders): Enhancing motor speech production with neuromodulation: A single subject design study

Morning Methodologist Talks:

  • Dr. Mariola Moeyaert (SUNY-Albany, Department of Educational and Counseling Psychology): Methodological issues in the analysis of single-case experimental data

  • Dr. Christopher Schmid (Brown University, Center for Evidence Synthesis in Health): N-of-1 trials for making personalized treatment decisions with personalized designs using self-collected data

Afternoon Panel Discussions:

  • Practitioner discussion on individualized medicine and considerations beyond randomized control trials, with Dr. Preeti Raghavan (NYU Langone, Department of Rehabilitation Medicine) and Dr. Anat Lubetzky (NYU Steinhardt, Department of Physical Therapy)
  • Methodologist discussion on causal inference and related issues for Single Case Designs, with Dr. Andrew Gelman (Columbia University, Applied Statistics Center) and Dr. Jennifer Hill (NYU Steinhardt, PRIISM Center); Moderated by Dr. Marc Scott (NYU Steinhardt, PRIISM Center)

Concluding Remarks:

  • Dr. David Rindskopf  (CUNY Graduate Center, Educational Psychology Program)

The 10th Data Science Showcase

Tuesday, October 10th , 2017
4:00 PM
Center for Data Science
50 6th Avenue
7th floor open space

Data Science and Statistics

Abstract: The Statistics Showcase will provide an overview of statistics research around the university to the Moore-Sloan community and to bring together researchers and students involved in such research. The showcase will be headlined by Professor David Madigan, Chair of the Statistics Department at Columbia University. Three short talks will precede Professor Madigan’s presentation. Xi Chen (Assistant Professor at NYU Stern School of Business), Jennifer Hill (Co-Director of the Center for Research Involving Innovative Statistical Methodology and Professor of Applied Statistics at NYU Steinhardt) and Menling Liu (Associate Professor of Population Health and Environmental Medicine at NYU Medical School) will describe the application of statistical methodology in areas ranging from business and finance to medicine and public policy.

4:00-4:15pm Talk by Xi Chen (NYU Stern)
4:20-4:35pm Talk by Jennifer Hill (NYU Steinhardt)
4:40-4:55pm Talk by Menling Liu (NYU Medical School)
5:00-5:50pm Talk by David Madigan (Columbia)
6:00-7:00pm Reception

Experimental Design Workshop

Monday, May 15, 2017

9:00 AM - 5:00 PM
NYU Steinhardt Kimball Hall
246 Greene Street
Conference room 301W

This Experimental Design Workshop is a great introduction to topic related to causal inference. For those who have already taken that course, it will solidify some of the concepts explored in it, as well as serve as a useful foundation for consulting work. Good working knowledge of experimental design is essential to nearly every substantive area of application and to data science more broadly. The workshop will be led by Claire Pelofi, an expert on small scale designed experiments in psychology and cognitive science.

The workshop is open to students in the Applied Statistics for Social Science Research M.S. program. RSVP and learn more here.

Building NYC-NYU Connections: Research Partnerships for Knowledge and Action

Friday, May 19, 2017
9:00 AM - 6:00 PM
NYU Institute for Public Knowledge
20 Cooper Square, 5th Floor

Co-sponsored by NYU’s IHDSC, IES-PIRT program, and PRIISM, this event will highlight a series of NYC-based university-community partnerships that involve linkages between city agency or community organization partners and NYU graduate students and faculty around policy-/practice-driven projects designed to strengthen knowledge and action.

RSVP and learn more here

9th Data Science Showcase for Education Research, Industry, and Policy
by Moore-Sloan Data Science Environment

Tuesday, March 7, 2017
4:30-7:00 PM
Kimmel Center, 60 Washington Square South
Colloquium Room (5th Floor)
New York, NY 10012

This showcase addresses the current and future roles of data science in the education sector. The showcase will consist of short presentations by a panel of four leaders from industry and academia, who will provide an overview of current initiatives in their research domains and identify core opportunities for data science to move the field forward. The panel presentations will be followed by a moderated discussion with the Moore-Sloan community.

Register and learn more here