For small and mid-size institutions
National computing onboarding pilot
Get your researchers onto national computing resources like the OSPool and NSF ACCESS, much of it free to use, without building a data center.
- A fit assessment of your researchers' actual workloads
- Accounts and a starter allocation on the right venue
- One real workload moved from a laptop to national resources
- A short hands-on training and a handoff document
Outcome: a first researcher running, and a capability that stays after the engagement ends.
For research teams and principal investigators
Research data services and DMP support
The data management, documentation, and IRB-aligned practices that funders expect, set up so they carry from one grant to the next.
- A data management plan written for your funder and project
- IRB-aligned data handling and documentation
- Data services setup: storage, organization, sharing plan
- A reusable template your team can adapt
Outcome: grant-ready data practices a reviewer will believe, and less scramble at the next deadline.
For departments and universities adopting AI
Private AI build
A document-grounded AI tool over your institution's own material, so answers come from your data and sensitive content stays in-house. Scoped in stages so you can start small.
- Discovery and a data assessment
- A pilot over a limited, well-defined document set
- A deployment plan with privacy and ethics built in
- Handover and training for the people who will run it
Outcome: a private, retrieval-augmented tool your team trusts, without sending confidential data to an outside service.
For agencies, nonprofits, and institutions
Program evaluation and policy analysis
Evaluation designed to answer whether a program actually worked, with a credible comparison and a report a board can act on. Doctoral concentration in evaluation, ICPSR-trained methods.
- Evaluation design with a defensible comparison
- A data collection plan matched to your budget
- Quantitative and qualitative analysis
- A plain-language report that ends in a decision
Outcome: evidence that holds up to scrutiny, and a clear read on whether to keep, fix, scale, or stop.
For teams and events
Workshops and talks
Hands-on training or a guest talk in AI literacy, research data management, and data tools (R, Python, STATA, Atlas.ti, Qualtrics, and more), tailored to your team's projects and skill level.
- Half-day or full-day workshop, on site or online
- Built around your disciplines and the tools you allow
- Practical exercises, not just a demo
- Talks for conferences, campuses, and organizations
Outcome: habits people keep using, not a one-time show.
For a longer relationship
Advisory retainer
Ongoing access rather than a one-off project, for a campus, department, or nonprofit that wants a data, computing, and AI advisor on call.
- A set block of advisory time each month
- Priority on questions and quick reviews
- Standing check-ins and light project steering
- A named person who already knows your context
Outcome: continuity and momentum, without hiring a full-time role.