Past Events


Columbia University Causal Inference Conference: Varying treatment effects on May 6, 2017

The literature on causal inference focuses on estimating average effects, but the very notion of an “average effect” acknowledges variation. Relevant buzzwords are treatment interactions, situational effects, and personalized medicine. In this one-day conference we shall focus on varying effects in social science and policy research, with particular emphasis on Bayesian modeling and computation.

See a full schedule and register for the conference here.


The Modern Modeling Methods Conference and Workshops on May 22-25, 2017

The Modern Modeling Methods (M3) conference is an interdisciplinary conference designed to showcase the latest modeling methods and to present research related to these methodologies. Our keynote speakers for the 2017 conference include Dr. Steven Boker (UVA) and Dr. Kenneth A. Bollen (UNC). In addition, Steven Boker will conduct a full day pre-conference workshop on Monday (May 22nd), on OpenMx (XSEM) with Application to Dynamical Systems Analysis. Kenneth Bollen and Zachary Fisher will offer a half day post-conference workshop on Thursday (May 25th), on Model implied instrumental variables using MIIVsem. In addition, Dr. Craig Enders is offering a 3 hour workshop on Multiple Imputation for Multilevel Data on Wednesday afternoon (May 24th). MMM Registration is now open, and early registration rates are available until April 22nd.

More information and call for presentations here.
Register for the MMM conference on the registration website.


2017 Stata Conference in Baltimore on July 27-28, 2017

Stata's user community is inventive and unique, developing their own commands and applying Stata in new ways to real-world situations. At the Stata Conference, you will learn new techniques from Stata developers and users. Discuss, develop, and dine with us in "Charm City".

More information and call for presentations here.


The Data Infrastructure Of The German National Educational Panel Study (NEPS) And Its Research Potential on August 11, 2017

The workshop will introduce researchers to the broad and continuously expanding database of the NEPS. This database is available free of charge to the scientific community. The aim of this course is to provide an insight into the design and survey program of the study, its rich research potential, and how to gain access to NEPS data resources.

NEPS was launched in 2009 as an interdisciplinary, multicohort, multiactor, longitudinal study for analyzing the development of competencies, educational processes, educational decisions, and returns to education in formal, nonformal, and informal contexts throughout the life span. The study consists of six starting cohorts—early childhood, kindergarten children, fifth graders, ninth graders, first-year students in higher education, and adults—with a total of 60,000 sampled persons. These panel participants are regularly interviewed and tested over an extended period of time. Additionally, about 40,000 context persons such as parents, teachers, or preschool staff are surveyed. All data material is thoroughly edited and documented.
For more information, please refer to our NEPS website (Link).

In addition to the longitudinal collection of various competence measurements, a key element of the NEPS study is the focus on social inequality and the role of ethnic background with regard to educational processes and their consequences for individual life courses: Why do educational decisions vary across different sociostructural groups? What are the mechanisms connected to migration biography that influence the acquisition of skills and educational success?

Registration: There is no fee to attend this workshop, but places are limited. Interested researchers are encouraged to register in advance by sending an e-mail with their name and affiliation to Workshop slots will be awarded on a first come, first served basis.

Instructor: Dr. Daniel Fuss, Head of Research Data Center at the Leibniz Institute for Educational Trajectories, Bamberg, Germany.


Fourth Conference on the Statistical Methods in Psychometrics

The Fourth Conference on the Statistical Methods in Psychometrics from August 30 to September 1, 2016 at Columbia University.  More information here.


The 2016 Atlantic Causal Inference Conference (ACIC)
Sponsored by PRIISM
(co-sponsored with IHDSC, IES-PIRT, and the Moore Sloan DSE)

May 26-27, 2016, New York University
For more information see the 2016 ACIC webpage. 

Short Course

Bayesian Short Course - Summer 2016
Tuesday and Wednesday, July 19 and 20, there will be a free, no-credit,
two-day mini-course in Bayesian statistics that the Sociology Department
is sponsoring this summer. It will be held in the Sociology Department's
large conference room (Puck Building, 295 Lafayette St., 4th Floor).

The course will be taught by Professor Scott Lynch of Duke University,
and he will be using R in the demonstrations. David Greenberg would like
to get an idea of how many will be coming. If you think it likely that
you will attend, please let him know by emailing:

More details will be provided as they emerge.