A semester of Rice data science, pointed at multifamily's unanswered questions
Faculty-mentored student teams take one hard problem all the way through — from the data you already have to a decision you can actually make. Asset management, leasing, operations, resident experience. Fifteen weeks, one question.
Active now: Best Time to Post — Fall 2026
24 open questions across six functions
Where are we losing applicants between tour and lease?
Is our pricing model pricing to the market, or to last year?
Which capital improvements actually move NOI?
What does a slow work order cost us at renewal time?
What tells us 90 days out that a resident won't renew?
Which channels bring residents who actually stay?
How much does response time really change conversion?
Where does turn time break down, unit by unit?
What's the question nobody's had a spare semester to answer?
Fifteen weeks from raw data to a decision you can defend
Scope the question
You bring the problem and the data. Faculty and the Lineups team sharpen it into something answerable in a semester.
Build in the open
A team of four to six students works the data weekly, with a standing check-in so nothing goes dark for a month.
Pressure-test
Findings go back to the operators who live with the problem. What survives that review is what ships.
Hand off
Final showcase, documented method, and the working model — yours to keep and run again next quarter.
A program built for real problems, not case studies
Rice University's Data to Knowledge Lab (opens in a new tab) has been pairing interdisciplinary student teams with industry partners since 2018. Every project is faculty-mentored, every project uses a partner's real data, and every project ends with work the partner can actually use.
Bring us the question you've been putting off
Spring 2027 scoping is open through October. Two paragraphs is enough to start the conversation.
Or reach the team directly at partnerships@lineups.io · Best Time to Post