Stanford Libraries is working to build a robust community of R users at Stanford to better support campus research and teaching involving this open source software package. While some R expertise resides within the Libraries, we know that far more expertise resides within the R users on Stanford's campus. We are working to bring this community together, be it beginners or advanced programmers, to help each other with the kinds of questions and problems that are the realm of Stanford research.
Science & Engineering Libraries staff will be on-hand to help you with a wide variety of software, coding, and data issues. Please check their schedule for the dates they will be available.
Geospatial Data Center at the Earth Sciences (Branner) Library
Branner Library is the central on-campus location for GIS services and access to spatial data. The Stanford Geospatial Data Center provides GIS instruction, consultation, and data. Branner staff members also provide GIS reference manuals and software, as well as assistance in geocoding, remote sensing, and advanced mapping of spatial data to all faculty, staff, and students using GIS at Stanford. Branner Library is located on the second floor of the Mitchell Earth Sciences Building.
At Branner's GIS facility, patrons can:
- Create, modify, and print custom maps by using commercial GIS packages and geospatial data.
- Communicate research and project results by creating maps and charts for use in journal articles, term papers and theses.
- Analyze data graphically by conducting "what-if" scenarios.
- Access a rich collection of databases that provide both geospatial boundary and statistical information.
- Explore the spatial element of your data (e.g., display soil types, track crime patterns, analyze animal migration patterns, find the best location for an expanding business, model the path of atmospheric pollution) to make decisions for many types of complicated problems.
Department of Statistics Consulting Service
The Department of Statistics offers a free, drop-in consulting service to members of the University community. Under the supervision of a senior faculty member, statistics doctoral candidates and experienced master's students provide assistance in areas including:
- Experimental design;
- Data analysis and interpretation of results;
- Model fitting;
- Time series;
- Classification and prediction.
ICME Computational Consulting (C2)
Institute for Computational and Mathematical Engineering: (ICME) provides drop-in computational mathnematics consulting. Topics include data science, matrix problems, optimization, discrete mathematics, PDEs & physical simulation, high performance computing, and machine learning. For more information, including their consulting schedule and location, see the C2 web site.
Institute for Research in the Social Sciences (IRiSS)
IRiSS advances social science research at Stanford by training social scientists in advanced and innovative research methods, undertaking high-quality interdisciplinary research, and disseminating research findings that address significant global challenges. IRiSS provides a platform for collaboration across the departments of Anthropology, Communication, Economics, Political Science, Psychology, and Sociology, and Stanford’s professional schools.
IRiSS hosts five interdisciplinary research centers focused on the problems of poverty and inequality, the impact of philanthropy, NGOs and government agencies, American elections studies, democractic stability, and population studies. IRiSS supports three research initiatives in advanced interdisciplinary methods, experimental research, and access to secure data. Additionally, IRiSS hosts a branch of the U.S. Census Bureau’s Research Data Center.
Center for Computational Social Science
The Center for Computational Social Science is part of the Stanford Institute for Research in the Social Sciences (IRiSS) and "supports social science research by using computational techniques to analyze big data." Workshops and other opportunities to learn the tools, methods, and research output for CSS are offered in the summer and throughout the academic year.
The Stanford Research Computing Center (SRCC) is a joint effort of the Dean of Research and IT Services to build and support a comprehensive program to advance computational research at Stanford. That includes offering and supporting traditional high performance computing (HPC) systems, as well as systems for high throughput and data – intensive computing. The SRCC also helps researchers transition their analyses and models from the desktop to more capable and plentiful resources, providing the opportunity to explore their data and answer research questions at a scale typically not possible on desktops or departmental servers. Partnering with units like ICME as well as the NSF XSEDE program and vendors, the SRCC offers training and learning opportunities around HPC tools and technologies.
Data Science Drop-in
Provides help with all aspects of data collection, cleaning, analysis, and visualization. Sponsored by the Management Science & Engineering (MSE) Program, they provide assistance with any and all data science problems, including: APIs and web crawling; parsing unstructured data; online experiments; data storage and querying; distributed computing and scalable algorithms; large-scale regression and classification; natural language processing; and visual exploration and communication. See their web site for their consulting hours.
Conducting research is different from the kinds of academic work with which students are usually familiar. This can make getting started seem more daunting than it really is. Refining broad interests into a focused research topic and finding the right faculty mentor are the most important early stages of the process.
Please visit the Stanford UNDERGRAD page for information about undergraduate advising, planning, programs, oppportunities and research, and tutoring and support.
Center for Population Health Sciences
The Center for Population Health Sciences' mission is "to improve individual and population health by bringing together diverse disciplines and data to understand and address social, environmental, behavioral, and biological factors." The PHS Data Center provides secure access to a number of large datasets that provide demographic, health, administrative, and other measures.
SPECTRUM: Stanford Center for Clinical and Translational Research and Education
Spectrum is an independent center within Stanford University that supports health-related research activities across Stanford University. The core mission is to accelerate the translation of basic scientific discoveries into practical solutions that improve human health, accomplished through educational programs, research support, infrastructure improvements and innovation funding.
Some helpful links for the researcher include: