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Volume 3, Issue 12, December 19, 2016
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UCLA Institute for Digital Research and Education
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IDRE Selects Inaugural Fellows


Computer science and medieval art history may not seem like an obvious pairing, but both fields are represented by the diverse group of four UCLA early career researchers who were recently awarded the inaugural Institute for Digital Research and Education (IDRE) Postdoctoral Fellowships.

The IDRE fellowship program was initiated as a mechanism to build a cohort of UCLA postdoctoral scholars and early career researchers and engage them in the IDRE community. Fellowship applicants were nominated by faculty sponsors and the recipients were selected by faculty from IDRE's Executive Committee. Read more

IDRE-related Lectures, Seminars & Colloquia

Spreadsheets In Organizational Life: A Case Study in the Materialities of Information

January 19, 2017 
3:00 PM - 5:00 PM 
290 Charles E Young Dr N. 

Dr. Paul Dourish, Chancellor's Professor of Informatics in the Donald Bren School of Information and Computer Sciences at the University of California, Irvine, "Spreadsheets In Organizational Life: A Case Study in the Materialities of Information." Reception to follow. 

IDRE-related Workshops & Events

How to Pursue Funding from DOE, DoD, and Other Mission Agencies 

January 18, 2017
1:00 PM- 2:30 PM 

The Research Enhancement Series provides grantmaking webinars to support researchers at all career stages. All webinars are free and open to UCLA faculty, researchers, postdoctoral scholars, students, and staff.

Webinar for faculty researchers on the differences between mission agencies (e.g., DOE, DoD, USDA, NASA, etc.) and basic research agencies such as NSF and NIH. The webinar will cover how to understand mission agencies, how to identify and approach program officers that may be interested in your research, what to ask, how to develop concept or white pages, quad charts, and full proposals.

PLEASE NOTE: All webinars will be recorder and materials distributed to registrants shortly before the event.

Co-sponsored by the UCLA CTSI. CTSI Affiliates: please list "CTSI" as your UCLA Department. Register here

Big Data Meets Computation 

January 30-February 3, 2017 
460 Portola Plaza 

In High Performance Computing (HPC), one of the key challenges toward exascale computing is to overcome the communication bottleneck. Data motion tends to clearly limit the overall performance and determine the (enormous) energy consumption of future supercomputers; some even say "flops are for free." There, it is crucial to develop novel ways of efficiently representing, reducing, reconstructing, and transferring huge amounts of data. At the same time, the analysis of large sets of (simulation) data requires sophisticated data analytics, which, in return, turns more and more compute-intense itself, and, thus, becomes a major customer for HPC. Hence, computing technology and Big Data technology are intrinsically linked, and the latest insights, methods, and algorithms have to be considered jointly within that context. The fusion of HPC and Big Data is a young field with an endless number of application and huge potential. The present workshop aims at being a catalyst at this frontier and bringing together leading innovators and pioneers from applied mathematics, computer science, and various applications areas.

This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop. Register here.

Multiple Imputation in SAS 9.4

January 31, 2017
9:00 AM - 12:00 PM 
5628 Math Science Building 

The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, this workshop will focus on one of the most commonly used modern methods, multiple imputation. The workshop will cover multiple imputation using the multivariate normal and imputation by chained equations as well as imputation diagnostics. Register here.  

Applied Survey Data Analysis with Stata

February 7, 2017
9:00 AM - 12:00 PM 
5628 Math Science Building 

This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered. Register here

Introduction to Regression with SPSS

February 14, 2017
9:00 AM - 12:00 PM 
5628 Math Science Building 

This workshop will introduce some fundamental topics in regression analysis using SPSS in three parts. The first part will begin with a brief overview of the SPSS environment, as well as simple data exploration techniques to ensure accurate analysis using simple and multiple regression. The second part will introduce regression diagnostics such as checking for normality of residuals, unusual and influential data, homoscedasticity and multicollinearity. The third part of this workshop will introduce categorical variables. Special attention will be given to interpreting a two-way categorical interaction with dummy variables and multiple-category predictors. Register here

Introduction to R

February 28, 2017
9:00 AM - 12:00 PM 
5628 Math Science Building 

R is a powerful statistical package that runs on many platforms, including Windows, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management. The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual. However, it is possible for individuals to use the class notes to help in learning R even if they don't enroll in the workshop. Register here

IDRE Stat Consulting Group


The goal of the UCLA IDRE Statistical Consulting Group is to help UCLA faculty, staff, and graduate students perform top-notch research, with the greatest emphasis on data analysis related to grants and publications, but also including dissertation research. We provide advice and resources to enable you to develop and/or extend your statistical computing skills, helping you to independently use common statistical packages for the analysis of your research.

Walk-in consulting is in Math Sciences 4919. See our online schedule for days and hours.

Grant & Funding Opportunities

UCLA Office of Information Technology
Institute for Digital Research and Education
310-825-6635 | frontdesk@oit.ucla.edu
https://idre.ucla.edu/
5308 Math Sciences
Box 951557, Mail Code 155705
Los Angeles, CA 90095-1557

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