PRIISM Events

Working Across Sectors to Support Vulnerable Youth in Schools: Research Practice Partnerships at the Intersection of Multiple Agencies

Friday, June 1, 2018

8:30 AM - 4:00 PM
NYU Center for Academic and Spiritual Life
238 Thompson St., C95

Youth and families navigate a variety of complex systems, services, and city offices—how can researchers, agencies, and practitioners work together to improve the systems and opportunities that support vulnerable youth in New York City? This event addresses this question by assembling leaders, scholars, and policymakers from multiple sectors and agencies: NYC Department of Education Office of School Health, NYC Mayor’s Office of Immigrant Affairs, NYC Department of Probation, New York Community Trust, Advocates for Children of New York, Volunteers of Legal Service, and the Vera Institute of Justice.

The day is structured around three panel sessions, each of which will focus on a specific sector: 1) Immigration, 2) Juvenile Justice, and 3) Special Education and Mental Health. The event will conclude with a broader conversation on evidence-based solutions and policies, data systems, funding priorities, and opportunities for collaboration.

This summit is co-sponsored by NYU’s Institute of Human Development and Social Change (IHDSC), the IES-funded Pre-doctoral Interdisciplinary Research Training program (PIRT), the Center for Practice and Research at the Intersection of Information, Society, and Methodology (PRIISM), and NYU’s Strategies to Reduce Inequality (SRI) initiative.

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Technological Innovations in Personal Data Collection in Hard to Access Environments: Experiences from DR Congo, India, Kenya, The Gambia, and more...

 

Thursday, April 26, 2018

4:30 PM - 6:00 PM
Kimball Hall
1st Floor

Learn from practictioners and scholars about their innovative uses of mobile and crowd-sourcing technologies as well as the opportunities and challenges they have faced.  This event is co-sponsored by NYU’s International Education program and the Peace and Conflict Studies Minor

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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. 

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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 IHDSCIES-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

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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

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9th Data Science Showcase for Education Research, Industry, and Policy

Tuesday, March 7, 2017

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

Co-sponsored by the Moore-Sloan Data Science Environment, 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

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The 2016 Atlantic Causal Inference Conference

May 26-27, 2016

Kimmel Center, 60 Washington Square South
Colloquium Room (5th Floor)
New York, NY 10012

The Atlantic Causal Inference Conference is a gathering of statisticians, biostatisticians, epidemiologists, economists, social science and policy researchers to discuss methodologic issues with drawing causal inferences from experimental and non-experimental data. The inaugural meeting was held in 2005 with a small group of researchers at Columbia University and has since grown into an annual event with over 250 attendees. Recent meetings have been hosted by the University of Michigan, New York University, Johns Hopkins University, University of Pennsylvania, Harvard University, and Brown University. What began as a regional conference has grown in geographic reach, now attracting researchers from across the US and from abroad.

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Data Science and Social Science Shortcourse

January 20-23, 2016

IHDSC’s IES-PIRT program and PRIISM present a three-day short course covering key topics at the intersection of Data Science and Social Science. Each day will be structured as a series of modules that will combine instruction on data science methods with implementation using real data in R.