1. Research Technology Consulting
Simo Goshev Alex Storer Steve Worthington Ista Zahn

2. Consulting Goals Data analysis support and programming services
Research project planning and guidance selecting appropriate technology for research projects
Facilitating appropriate organization, storage and sharing of data
Training on the use of both established software packages and emerging tools

3. Scope Free! Support the entire social science community
Consults measured in hours rather than weeks or months
Currently doing outreach to departments, student groups and centers
Drop-ins on Fridays at 1pm in the training lab, Appointments, Help Tickets and casual chats in K306

4. Biological Anthropology
Who We Are
Scope
Simo Goshev
Steven Worthington
Alex Storer
Ista Zahn
Economics
Biological Anthropology
Neuroscience
Psychology

5. Alex Storer
BS,BA - UC Berkeley Electrical Engineering & Computer Science, Cognitive Science
PhD – Boston University Cognitive & Neural Systems
Analysis:
Machine Learning
Signal Processing
Surface Based Techniques
Simulation
Optimization
Tools:
Matlab, R, Python
Emacs, LaTeX, Linux

6. Steve Worthington BA / MS – Durham, UK Anthropology & Archeology
PhD – NYU Biological Anthropology
Analysis:
Linear models (OLS, GLS, PLS, etc.)
Resampling (permutation, bootstrap)
Ordination (PCA, LDA, CVA, etc.)
Tools:
Mainly R
Some SAS, SPSS
Aquamacs

7. Choropleth Maps
Pop
Soda
Coke
Other

8. Map Workflow Spatial data Attribute data
Shapefiles, ArcGIS files, etc.
State, county, or zipcode level data on any topic.
Merge by spatial ID
e.g., state or county name.
Map

9. ICPSR example workflow
USA Spatial data
ICPSR Attribute data
ICPSR county level data
Unemployment rate, Crime rate, Federal spending etc.
Long data frame
CreateMap using R

10. Cleaning / Merging data
Spatial data
Attribute data
ICPSR county level data
Unemployment rate, Crime rate, Federal spending etc.
Long data frame
CreateMap using R

11. Cleaning / Merging data
Spatial data
Attribute data
ICPSR county level data
Unemployment rate, Crime rate, Federal spending etc.
Long data frame
CreateMap using R

12. Unemployment Rate 2005 (annual average estimate)

13. Unemployment Rate 2005 (annual average estimate)
1.9%
20.9%

14. Unemployment Rate 2005 (annual average estimate)
1.9%
20.9%

15. Unemployment Rate 2005 (annual average estimate)
1.9%
20.9%

16. Unemployment Rate 2005 (annual average estimate)
1.9%
20.9%

17. Crime Rate 2004 (annual average per 100K people)
13700

18. Simo Goshev BA – Sofia, Bulgaria Applied Econometrics
MS – McMaster University Statistics
PhD – McMaster University Economics
Analysis:
Econometrics Applied Microeconometrics
Panel Data
Applied statistics
Tools:
Mainly Stata
Some R

19. Help with econometrics and/or Stata
How do I bootstrap estimates from survey data?
Stata does not support weighting for the type of graph I want to create. Can you help?
I want to study the factors underpinning scholar migration. What identification strategies would you suggest?
I have two datasets and I want to merge them. However, there are not unique case ID’s in either. What would you recommend?
I have a large and highly sensitive dataset stored in a SQL database. Can you help me access the database directly from within Stata?

20. Help with computation/estimation
I am trying to estimate a model but for some reason the routine fails. Could you have a look at my script ?
I am working with a large dataset and my machine is giving up on me. Do you have any suggestions?
Which estimation method is best for…?

21. Re-normalized Multinomial Logit
Patron:
Doctoral Student, Department of Economics
Goal:
Estimate multinomial logit model with non-standard normalization
Common normalization in multinomial logit

22. But what if different normalization is needed?

23. Ista Zahn BS – University of Oregon Psychology
PhD (ABD) – University of Rochester Social Psychology
Analysis:
Regression
Mixed Models
Scale Development
Tools:
R, Stata, SAS, SPSS
Emacs, LaTeX, Linux

24. Workshops (schedule at http://rtc.iq.harvard.edu)

25. Other Workshops

26. IQSS Services Quantitative Social Science
THE INSTITUTE FOR
Quantitative Social Science
at Harvard University
Research Computing Environment

27. Contact Us!
CGIS-Knafel, Room K306 Fridays afternoons, K018