Below is a list of data analytics help and resources available to faculty, students, and staff at Stanford. These include general resources; specific help with social science, humanities, hard sciences, math, computer science, and geospatial data; and data management services. Please consult the links provided for specifics on availability and setting up consultations.
General Resources
Social Sciences
Social Science Data and Software (SSDS) is a group within the Stanford Libraries that provides services and support to Stanford faculty, staff and students in the acquisition, curation, and preservation of social science data and the selection and use of quantitative (statistical) and qualitative analysis software. SSDS staff members provide these services in a variety of ways that include consulting, workshops and help documentation. We are located in the Social Sciences Resource Center (SSRC) on the first floor of the Green Library Bing Wing.
Institute for Research in the Social Sciences (IRiSS)
Stanford Institute for Research in the Social Sciences (IRiSS) facilitates first-rate interdisciplinary research, trains the next generation of scholars, and incubates research projects to address critical societal challenges. IRiSS ensures that world-class, evidence-based research is produced to meet evolving problems in areas of governance and democracy, economic inequality, immigration policy, and other social issues that affect communities across the globe.
Stanford School of Humanities & Sciences: Statistics Dept.
The Department of Statistics offers a free online consulting service to members of the broader research community during each Stanford academic quarter. Under the supervision of a senior faculty member, Statistics graduate students arrange Zoom meetings with clients to help with statistical research questions in areas such as:
Statistical inference for estimation, testing, and prediction
Center for Spatial and Textual Analysis
CESTA's core research groups investigate texts, places, social networks, historical trends, and more. Encompassing the most significant subfields of digital humanities — including text mining, geospatial imaging, digital pedagogy, social network analysis, and media archaeology — CESTA's central labs provide the stable nucleus for the Center's research endeavors.
Math and Computer Science
Institute for Computational & Mathematical Engineering: Computational Consulting (C²)
Computational questions in research? Need help determining which matrix library to use in your code? Trouble with boundary conditions? We're here to help answer these questions and more. C² is a free service run by the Stanford Institute for Computational and Mathematical Engineering and offered to all members of the extended Stanford community.
Need access to compute resources beyond your desktop to support your sponsored or departmental research? You may want to try out the Stanford Sherlock cluster. Purchased and supported with seed funding from the Provost, Sherlock comprises 127 compute servers and associated storage. Those 127 servers are available to run researchers' computational codes and programs, with resources managed through a fair-share algorithm using SLURM as the resource manager/job scheduler.
Computer Science Dept.: SC Compute Cluster
The Stanford AI Lab cluster aggregates research compute nodes from various groups within the lab and control them via a central batch queueing system that coordinates all jobs running on the cluster. The nodes should not be accessed directly, as the scheduler will allocate resources such as CPU, Memory and GPU exclusively to each job.
Geospatial
Other
©Stanford University, Stanford, California 94305.