2014-2015

Friday, August 29, 2014

Reproducible Results and the Workflow of Data Analysis

Dr. J. Scott Long

2-3:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

Many disciplines are paying increasing attention to "reproducible results". This is the idea other scientists should have access to your data so that they can reproduce the results from your published work. Producing reproducible results is critically important and highly dependent on your workflow of data analysis. This workflow encompasses the entire process of scientific research: Planning, documenting, and organizing your work; creating, labeling, naming, and verifying variables; performing and presenting statistical analyses; preserving your work; and (perhaps, most important) producing replicable results. Most of our work in statistics classes focuses on estimating and interpreting models. In most “real world” research projects, these activities involve less than 10% of the total work. Professor Long’s talk is about the other 90% of the work. An efficient workflow saves time, introduces greater reliability into the steps of the analysis, and generates reproducible results.

Dr. Long is Distinguished Professor and Chancellor’s Professor of Sociology and Statistics at Indiana University.

Materials available via email (event flyer)

Friday, September 5, 2014

Your Statistical Tool Belt

Stephanie Dickinson

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

This workshop will give an overview of how to identify what types of data analysis tools to use for a project, along with basic “DIY” instructions. We will discuss the most common analysis tools for describing your data and performing significance tests (ANOVA, Regression, Correlation, Chi-square, etc), and how they should be selected based on the type of data and the type of research question you have. We will spend the first hour outlining ‘what analysis to use when’ and the second hour going through an example dataset in SPSS software “Comparing motivations for shopping at Farmer’s markets, CSA’s, or neither.” Bring your own data set to work along also.

Stephanie Dickinson is a senior consultant and managing director of the IU Statistical Consulting Center (ISCC).

Materials on IUScholarWorks (event flyer, presentation slides, hands-on exercise files)

Video (Media Collections Online)

Friday, September 12, 2014

Introduction to Human Subjects and KC IRB at IU

Senta Baker and Adam Mills

1:30-3:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

This workshop will provide an overview of IU's Human Subjects Office and submitting applications through the KC IRB system. Specifically, KC IRB has been enhanced with 'smart form' functionality - called the Questionnaire. Many IU IRB forms have been replaced with an electronic questionnaire. This training will review what forms have been replaced, the information which will now be captured electronically, and the logic behind the programming. Beginning and seasoned KC IRB users who submit or plan to submit exempt, expedited or full Board studies, both new studies and post-approval submissions, i.e. amendments and renewals, should consider attending.

Sara Baker and Adam Mills work in the IU Human Subjects Office.

Materials available by email (event flyer, presentation slides)

Video [2016 version] (Media Collections Online]

Friday, September 19, 2014

Empowering Social Science Research with IU’s Research Cyberinfrastructure

Abhinav Thota

2-3:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

IU is the home to several high performance computing resources, high capacity data storage systems, and provides many statistical and mathematical software packages to students, faculty and staff at steep discounts. Learn how to take advantage of the petaFLOPS of computational power and petabytes of data storage provided by the Research Technologies team to accelerate your research projects at this Introduction to Advanced Cyberinfrastructure at IU workshop. 

In this workshop you’ll learn about the various computational and data storage offerings provided at no cost to university students, staff and faculty researchers as well as the numerous statistical, mathematical, and geospatial software discounted software offerings. You’ll also learn how to access the centralized compute and storage systems and what software is available on them for research. Other topics covered will be job script creation, submission and management. 

Abhinav Thota is a Senior Analyst in the Research Technologies division of UITS/PTI. He is part of the Scientific Applications and Performance Tuning (SciAPT) team and helps users efficiently use HPC resources at IU.

Materials available by email (event flyer, presentation slides, hands-on exercise files, related resources)

Friday, September 26, 2014

Introduction to Python for Social Scientists

Alex Hanna

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

Python is an all-purpose programming language which can be used for collecting, cleaning, manipulating, and analyzing data. With a vibrant development community, tasks which may have taken several different tools can be accomplished with this simple, intuitive language. This workshop is an introduction to the basics of the Python programming language. The workshop will focus on the basics of the language, how to collect and analyze social data (with an emphasis on social media sites), and how to visualize data. We will introduce statistical data analysis with Python’s scientific computing packages.

Alex Hanna is a PhD candidate in sociology at the University of Wisconsin-Madison. Substantively, they are interested in social movements, media, and the Middle East. Methodologically, they are interested in computational social science, textual analysis, and social network analysis. Alex’s dissertation uses principles from machine learning and information extraction to build an automated system for the creation of new protest event data. Their master’s thesis looks into the genesis of the 6th of April Youth Movement with computer-aided content analysis methods.

Materials available by email (event flyer)

Heather Terhune Marti is a Study Director at the IU Center for Survey Research. She has 20+ years of survey research experience and has directed 75+ research studies for the Center. She has six years of experience using Qualtrics and has programmed or provided consultation on more than 30 studies.

Please note: in order to participate in the hands-on portions of this workshop, you will need a Qualtrics account. 

Materials available by email (event flyer, demo survey handout)

Video (Media Collections Online)

Tuesday, October 21, 2014

This workshop is co-sponsored by the IU Libraries and the Workshop in Methods as part ofOpen Access Week 2014.

Open Access Tools for Social Sciences

Theresa Quill, Christina Sheley, and Nicholas Wyant

2-3:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

Social Science data is available in a number of different formats from countless sources. This session will focus on social science data that IU students and faculty have access to. Nicholas Wyant will cover American Fact Finder which is the main search tool for Census data. The Census can provide researchers with invaluable data regarding the U.S. Population. Theresa Quill will demonstrate Open Street Map, an open source tool for users to create custom GIS maps. Christina Sheley will discuss the Social Science Research Network (SSRN), which provides users access to working papers, journal articles and more free of charge.

Theresa Quill is a Social Sciences Data & GIS Librarian. Christina Sheley is the Head of the Business/SPEA Information Commons. Nicholas Wyant is the Head of Social Sciences for IU Libraries.

Friday, October 31, 2014

All About ANOVA

Wes Beaulieu

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

Analysis of Variance (ANOVA) is one of the most widely used statistical methods today because of its versatility and interpretability. At its most basic, ANOVA is a way to compare the mean response of more than two groups, whereas a t-test is limited to two groups. This workshop will provide an overview of ANOVA including experimental design, interpretation of main effects and interactions, post-hoc tests and model validation/verification of assumptions. Examples will be provided in both R (freeware) and SPSS (freely available through IUAnyware). These software packages will produce identical results but through different workflow steps. By the end of this workshop you should be able to identify when to use ANOVA, effectively plan a study for analysis with ANOVA and use statistical software to generate valid, interpretable results leading to scientific inference.

Wes Beaulieu is a senior consultant and lecturer at the IU Statistical Consulting Center (ISCC).

Materials available by email (event flyer, presentation slides, hands-on exercise files)

Friday, November 7, 2014

Getting Serious About Test Score Reporting

Dr. Ronald K. Hambleton

1-2:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

Ronald K. Hambleton holds the titles of Distinguished University Professor and Executive Director of the Center for Educational Assessment at the University of Massachusetts Amherst.  He earned an M.A. in 1967 and Ph.D. in 1969 from the University of Toronto with specialties in psychometric methods and statistics.  Professor Hambleton has taught graduate-level courses in item response theory and applications, classical test theory, and principles of assessment at UMass since 1969. He is the author or co-editor of nine books on educational assessment and has published papers on applications of item response theory, and such topics as criterion-referenced assessment, test adaptation methodology, test score reporting, standard-setting, and computer-based testing, over his 45 years in the assessment field.

Materials on IUScholarWorks (event flyer, presentation slides, handout)

Friday, November 14, 2014

Introduction to R

Michael Frisby

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

R is a flexible and powerful open source statistical programming language, and is one of the fastest growing analytic tools available. Its ever expanding functionality has made it an immensely popular resource to researchers across a wide variety of quantitative disciplines. Like many programming languages, R uses a command line syntax to create and store variables, write functions, and load, manipulate, analyze, and visualize data.

This two-hour workshop is designed for newcomers to the R programming language. Our goal is to get the participant comfortable with the R programming environment by exploring how to import and export data, manipulate data, visualize data, utilize packages, and run some basic statistical procedures, such as t-tests and correlation tables, using the R syntax. Time permitting, we may also explore additional analyses such as ANOVA and linear regression.

Michael Frisby is a statistical consultant at the IU Statistical Consulting Center (ISCC).

Materials available by email (event flyer, presentation slides)

Friday, November 21, 2014

GIS Data Availability at Indiana University

Justin Peters

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

This workshop will give an overview of some of the GIS datasets available to you and how each can be accessed for use in ArcGIS Desktop.  In addition to the datasets highlighted, an overview of GIS data import and translations tools will be demonstrated showing you how to import/export your own data from ArcGIS.  

No prior knowledge of ArcGIS or GIS in general is required.  Participants can use ArcGIS software already installed on STC machines located at the workshop.  Students can request a one year student evaluation copy of ArcGIS for local installation by emailing uitsgis@iu.edu. See also "At IU, how do I obtain Esri software?" 

Justin Peters is a Principal GIS Analyst as part of the Research Analytics team in the Research Technologies division of UITS/PTI.

Materials available by email (event flyer)

Friday, December 5, 2014

Advanced Topics in R

Jefferson Davis, Hui Zhang, and Scott Michael

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

In this follow up workshop to “Introduction to R” researchers will have the opportunity for a deeper dive into R. Available on all IU's supercomputers, R is a flexible open source statistical programming language that can work with large and complex data sets. This workshop will address several advanced topics in R as well as giving participants the opportunity to use R on IU’s supercomputers. The topics to be covered include: R scripting on IU supercomputers; debugging, profiling, and performance analysis of R code; parallel programming in R, including the Rmpi and snowfall packages; and advanced plotting in R.

Participants will have access to the supercomputer Big Red II during the session and will be able to see hands-on examples of running R code and submitting batch jobs in R.

Hui Zhang is principal research software engineer with IU Research Technology. Hui has a broad background in visualization and analytics, with specific training and expertise in areas including scientific visualization and data-intensive computing. Hui recently participated in the NSF-funded Stampede project where he investigated data-intensive scientific workflows with applications across science and health domains.

Jefferson Davis is a software consultant with Research Analytics. He has worked on several projects that have used R and R libraries. Sample projects include visualizing economic simulations, simplifying demographic data, and running semantic analyses on large text files.

Scott Michael is the manager of the Research Analytics group within UITS. His areas of expertise include high performance computational systems, workflow development for supercomputers, and application parallelization. His domain expertise lies in computational simulations of astrophysical disks. 

Materials available by email (event flyer, presentation slides)

Friday, January 23, 2015

Your Statistical Tool Belt

Stephanie Dickinson

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

This workshop will give an overview of how to identify what types of data analysis tools to use for a project, along with basic "DIY" instructions. We will discuss the most common analysis tools for describing your data and performing significance tests (ANOVA, Regression, Correlation, Chi-square, etc.), and how they should be selected based on the type of data and the type of research question you have. We will spend the first hour outlining "what analysis to use when" and the second hour going through an example dataset in SPSS software "Comparing motivations for shopping at Farmer’s markets, CSA’s, or neither." Bring your own data set to work along also.

Stephanie Dickinson is a senior consultant and managing director of the IU Statistical Consulting Center (ISCC).

Materials on IUScholarWorks (event flyer, presentation slides, hands-on exercise files)

Friday, January 30, 2015

Getting Started with Qualitative Data Analysis Software

Dr. Kathryn Graber and Dr. Emily Meanwell

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

Qualitative data analysis software can be helpful to researchers working with a variety of different types of data, such as video, audio, transcripts, images, and notes that need to be coded and analyzed. The learning curve is steep, however, so starting with it may seem like a daunting task. In this workshop, we will provide a general introduction to working with qualitative data analysis software, focusing on two widely used cross-platform software packages, NVivo and Atlas.ti. Using concrete examples, we will discuss the strengths, weaknesses, and differences of these software packages and provide a general overview of getting started in each. We will also discuss the resources for collecting and working with qualitative data now available through the new Qualitative Data Analysis Lab.

Kate Graber is a new Assistant Professor of Anthropology and Central Eurasian Studies at IU. As a linguistic and sociocultural anthropologist, she conducts multilingual, media-rich fieldwork in Russia and Mongolia. With support from the College, the Department of Anthropology, and the SSRC, she founded the Qual Lab in Fall 2014. It is intended to be a space for faculty and graduate students to try out and gain training on a range of research equipment, including audio and video equipment for field recording, transcription pedals and software, sound and video editing software, and qualitative data analysis software.

Emily Meanwell is the Director of the Social Science Research Commons and the study director for the Sociological Research Practicum. Her research has explored culture, inequality, education policy, and homelessness using a variety of qualitative research methods.

Materials available by email (event flyer)

Friday, February 6, 2015

Systematic Reviewing and Meta-Analysis: How to be a Good Consumer of Scientific Literature Reviews

Dr. Jeffrey Valentine

2-3:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

Policymakers, researchers, and practitioners are increasingly likely to value systematic reviews. However, the quality of systematic reviews varies widely. This workshop will (a) describe the history and logic of systematic reviewing and meta-analysis, (b) demonstrate the ways in which systematic reviews provide a better method for assessing what a body of evidence reveals about the relationships under study, and (c) walk participants through a simple meta-analysis. The workshop will conclude with a core list of questions that can be asked of any systematic review to assess its quality.

Jeff Valentine earned his Ph.D. in Social Psychology from the University of Missouri-Columbia. He is a Professor of Educational Psychology, Measurement, and Evaluation at the University of Louisville. Dr. Valentine is the co-editor, with Harris Cooper and Larry Hedges, of the Handbook of Research Synthesis and Meta-Analysis, 2nd ed., associate editor of Research Synthesis Methods, the co-chair of the training group for the Campbell Collaboration, and a statistical editor in the Cochrane Collaboration. He is also the principal investigator of the What Works Clearinghouse's efforts in postsecondary education (U.S. Department of Education, Institute of Education Sciences), and has authored over three dozen works that use, explain, or seek to improve the methods of systematic reviewing and meta-analysis. 

Materials on IUScholarWorks (event flyer, presentation slides)

Friday, February 13, 2015

Introduction to Regression Models for Panel Data Analysis

Dr. Patricia McManus

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

Panel methods are appropriate for large-N, small-T data where N represents individual units – for example persons, families, organizations, cities – observed at two or more points in time T. This workshop covers the basic theory underlying the analysis of panel data along with essential terminology, an overview of the kind of data that are appropriate for panel analysis, examples from various disciplines, and a list of common mistakes made when working with panel data models. We then work through an example of an application of the linear error components model from assumptions to estimation, specification tests and interpretation. The workshop concludes with a brief discussion of limitations, extensions, and related approaches.

Dr. McManus is Associate Professor of Sociology at Indiana University, where she studies inequality, poverty and mobility. She teaches graduate courses in applied statistics for the social sciences, including a course on panel data analysis at the University of Michigan’s ICPSR and a spring semester course on longitudinal data analysis. Her work on social mobility processes using longitudinal data techniques has appeared in American Sociological Review, American Journal of Sociology, and Demography.

Materials on IUScholarWorks (event flyer, presentation slides, hands-on exercise data)

Friday, February 20, 2015

Survey and Analysis in 'Babel.' A Practical Introduction to the European Social Survey (ESS)

Dr. Bence Ságvári

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

The process of globalization and European integration have largely increased interest in cross-national analysis in past decades. In effect, the internationalization of public opinion research has brought unprecedented possibilities for social scientists all over the world. However, doing research in multiple countries where spoken languages, legal systems, and political-cultural traditions differ is a true challenge.

The European Social Survey (ESS) is one of the largest cross national research projects in the social sciences. It was designed to chart and explain the interaction between Europe’s changing institutions and attitudes, beliefs, and the behavioral patterns of its diverse populations. During its six rounds from 2002 to 2012, ESS covered topics of personal and institutional trust, attitudes towards politics and democratic institutions, participation, understanding and evaluation of democratic elements, social exclusion, religion, perceived discrimination, national and ethnic identity, immigration, media and communication, economic morality and welfare attitudes, personal and social well-being, and the perception of life-courses and ageism.

Besides briefly summarizing the development of cross-national surveys in Europe and providing useful information and data sources, this workshop will give an overview of the ESS in general and a detailed  demonstration of the accessibility and usage of its data. This two-hour workshop is designed for anyone who is interested in carrying out cross-national data analysis regarding European countries.

Bence Ságvári is a research fellow at the Hungarian Academy of Sciences Centre for Social Research and at the International Business School (IBS) of Budapest, Hungary. Currently he is a visiting professor at Indiana University. He is the national coordinator for EU Kids Online and for the European Social Survey (ESS) in Hungary. Dr. Ságvári has more than 10 years of research experience in both quantitative and qualitative research. His primary interests are technology, children and young people, and how digital technologies shape people's behavior, values and attitudes. He has a PhD in Sociology from ELTE University in Budapest.

Materials available by email (event flyer)

Friday, February 27, 2015

A Brief Introduction to Multilevel Modeling: Concepts & Applications

Dr. Leslie Rutkowski

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

In this two-hour workshop, participants will be provided with a brief overview of multilevel modeling concepts and several applications, including random intercepts and random slopes models. Several examples will be provided along with SAS syntax and a data set will be made available. Participants will have an opportunity to fit several models in SAS and interpret the results.

Leslie Rutkowski is an assistant professor of Inquiry Methodology in the Department of Counseling and Educational Psychology at Indiana University, Bloomington, USA. She earned her PhD in Educational Psychology with a specialization in Statistics and Educational Measurement from the University of Illinois at Urbana-Champaign. Leslie’s research is focused in the area of international large-scale assessment from both methodological and applied perspectives. Her interests include the impact of background questionnaire quality on achievement results, latent variable models for achievement estimation, and examining methods for comparing heterogeneous populations in international surveys.

Materials on IUScholarWorks (event flyer, presentation slides, hands-on exercise files)

Friday, March 6, 2015

Introduction to Human Subjects and KC IRB at IU

Sara Benken

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

This workshop will provide an overview of IU's Human Subjects Office and submitting applications through the KC IRB system. We will start with a brief introduction to human subjects, then focus the remaining time on learning how to navigate the IU IRB process.   

Sara Benken is an Associate Director in the IU Human Subjects Office.

Materials available by email (presentation slides)

Friday, March 27, 2015

Bias in Instrumental Variable Estimates

Dr. Haeil Jung

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

The relative size of the treated and untreated groups, or the T/UT ratio, in an analysis sample often diverges from the T/UT ratio in the population (or original sample) because of choice-based sampling, missing values, and data limitations. While divergences of the sample from the population T/UT ratio do not generate bias for many estimators, instrumental variable (IV) estimates are biased by such divergences even when (1) the IV is analytically valid for the population in estimating the Local Average Treatment Effect (LATE) and (2) the treated and untreated group characteristics are intact conditional on the treatment status. We survey published empirical manuscripts to show that this issue is prevalent across various fields. We also prove that the bias in IV estimates, generated by divergences of the sample from population T/UT ratio, is a monotonic function of the difference between the sample and population T/UT ratios. Based on our findings, we suggest possible solutions and how to interpret the biased IV estimates when the true T/UT ratio is unknown.

Haeil Jung is an Assistant Professor in the School of Public and Environmental Affairs

Materials available by email (event flyer)

Friday, April 3, 2015

Statistical Methods in R

Michael Frisby

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

R is a flexible and powerful open source statistical programming language, and is one of the fastest growing analytic tools available. Its ever expanding functionality has made it an immensely popular resource to researchers across a wide variety of disciplines.

This two-hour workshop is the second part of a series designed to get you familiar with performing statistical analyses in R. In this workshop, it will be assumed that you have some prior knowledge of R basics. We will focus on implementing some commonly encountered statistical methods in R, including logistic regression, MANOVA, exploratory and confirmatory factor analysis, and hierarchical linear modeling.

Michael Frisby is a statistical consultant at the IU Statistical Consulting Center (ISCC).

Materials available by email (event flyer, presentation slides, hands-on exercise files)

Friday, April 10, 2015

Nonparametric statistics for social scientists

Dr. Brad Luen

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

Parametric statistical methods may perform poorly when their assumptions are violated. For example, the t-test may have low power when samples are not from normal distributions, while linear regression will predict poorly when the relationships between variables is not linear. "Nonparametric statistics” refers to a broad range of techniques that avoid restrictive parametric assumptions about populations or data. We will explore two very different nonparametric methods: Rank tests, where hypotheses are tested by comparing the ranks of samples, and smoothing splines, which fit smooth curves and surfaces to data that may not be linear. We will implement these techniques in R, and discuss when it may or may not be appropriate to use these techniques instead of their parametric counterparts.

Brad Luen received his Ph.D in statistics from the University of California, Berkeley, where he studied the assessment of probabilistic forecasts for earthquakes. He is a lecturer in the Department of Statistics.

Materials on IUScholarWorks (event flyer, presentation slides, files)

Friday, April 17, 2015

Abductive Analysis and the Search for Mechanisms: Semiotic Chains as a Bottoming-out Processual Level in Qualitative Research

Dr. Iddo Tavory

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

In Abductive Analysis Stefan Timmermans and myself argue that sociologists need to cut through inductivism and deductivism, and posit the generative surprises of research at the center of qualitative theorizing. We then argue that the strongest evidence in most qualitative research—and the best way to locate “surprises“ in the research process—arises through tracing chains of meaning-making in action and interaction. This presentation will expound on this second point, comparing this pragmatist processual account to other notions of mechanism-base explanation in the social sciences, and especially in “analytical sociology.” As we argue, semiotic chains provide a uniquely adequate bottoming-out level since it traces the building blocks of action and interaction without making untenable assumptions about human nature and rationality.

Iddo Tavory is an Assistant Professor of Sociology at NYU. Iddo’s overarching interest is in the interactional patterns through which people come to construct and understand their lives. His book Abductive Analysis: Theorizing Qualitative Research (co-authored with Stefan Timmermans) outlines a pragmatist approach to the relation among theories, method, and observations in qualitative research (University of Chicago Press, 2014). His second book, Summoned, is an ethnography of an Orthodox Jewish neighborhood in Los Angeles, as well as an essay on the co-construction of identification, interaction and the patterning of social worlds (forthcoming, 2015, University of Chicago). His publications have appeared, among other places, in the AJS, ASR, Sociological Theory and Theory and Society. 

Materials available by email (event flyer)

Friday, April 24, 2015

The Grammar of Graphics: An Introduction to ggplot2

Jefferson Davis

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

In The Grammar of Graphics, Leland Wilkinson laid out a systematic way to think about statistical graphics and the presentation of quantitative data. The package ggplot2 by Hadley Wickham implements of Wilkinson's system for the language R.

The talk will cover the following:

- What are statistical graphs and what are some ways to talk about them?
- Examples of common plot types done in ggplot2.
- Using ggplot2 to display common statistical transformations.
- Grouping and faceting data in ggplot2.
- Using themes to add polish to graphs.

The talk requires no familiarity with ggplot2 or other libraries. Some familiarity with base R, however, will be useful.

Jefferson Davis is a software consultant with Research Analytics. He has worked on several projects that have used R and R libraries. Sample projects include visualizing economic simulations, simplifying demographic data, and running semantic analyses on large text files.

Materials on IUScholarWorks (event flyer, presentation slides, hands-on exercise files)