Saturday, April 30, 2022

University Data Collection Framework [to use during interviews]

During my more than a dozen faculty interviews, I set out to collect and organize the essential information about each university and department so that I could make an informed choice of where to join later on. Ideally, this information would also help me not torment myself with various "what ifs". 

To aid myself, I came up with the following 6-dimensional framework for systematically collecting data relevant to each tenure-track job. I would write out this framework in a notepad and fill it in over the course of an interview. I was particularly grateful for it when I couldn't think of a question to ask. I'm posting the framework here in case someone else would find it useful. 

1. Department and College Ecosystem

- Size: how many faculty and students are there in each unit? 
- Reputation: what is the place known for? What does it pride itself on?
- Culture: how social is the place? How formal is it? How many people work remote/in-person? What is distinctive about its culture? 
- Politics: how are the decisions made in the department? How often do faculty meetings occur, and what happens in them? 
- Subgroups: how do people visualize the social graph of the department? What are the cliques? 
- Vision: how does the leadership see the department's trajectory? What are the current aspirations and challenges? 
- Cross-appointments: how hard is it to get a courtesy/non-0% appointment? (this is relevant to me since my work never seems to fit nicely into one department) 

2. Funding Precursors

- Department collaborations: who in the department can I collaborate with and on what?
- College/university collaborations: what collaboration opportunities exist with other departments/institutes/centers?
- Industry collaborations: what are the local companies and labs? Which faculty have a history of industry research funding? Are there any memos of understanding (MoUs) in place? 
- State-related opportunities: what funding is available at the state level? Is this an EPSCoR state? How far is DC with its agencies? 
- Faculty development: what are the faculty development opportunities? How structured are they? mentoring, programs, workshops, etc 
- Grant support: what does the pre/post-award support look like? What are the relevant units and what services do they provide? 

3. Students 

- Layout: what are the programs and populations of students? What fraction is international? 
- Pipeline statistics: what are the graduation rates, years-to-graduation, and ratio of students per faculty?
- Funding costs: how much funding do I need to bring in for a graduate RA or an undergraduate? How much can TA appointments help? How common are students with fellowships? 
- PhD admissions pool: how many students apply to the PhD program, how many of those get accepted, and how many of those accepted decide to join? 
- PhD admissions mechanics: through what mechanisms are PhD students assigned to the faculty? 

4. Research precursors

- Space: what do faculty offices look like? What do student offices look like? How is lab space assigned? What is the lab space available? 
- Equipment: where do faculty keep and use their equipment? Are there shared lab spaces or high bays? Is there a special server room, a data center, or a local cluster? 
- IT support: does the department or college have a dedicated IT team? What services do they provide?
- Centers: what research centers or institutes could I join? What are the benefits of joining them? 

5. Teaching

- Load: what is the expected load for pre-tenure faculty? After tenure? What portion of it is graduate/undergraduate? 
- Class sizes: how many students are in a typical freshman/senior/graduate class? Are there multiple sections? 
- TA support: what and who determines how many TAs a class gets? 
- Cross-listing: what does it take to cross-list a class across multiple programs? How is co-teaching credit distributed? 
- Buyouts: what does it cost to buy out of teaching a class? 
- Opportunities: what courses could I teach? Would like to teach? (Typically, the department has these questions too.)

6. Area 

- Pricing: what are the house prices? What is the cost of living?
- Locations: where do the faculty tend to live? Why? 
- Commute: how do the faculty tend to commute? Are there biking/busing/walking options? 
- Airports: what airports are nearby? What connecting hubs are commonly used? 
- Schools: what are the school districts? How do they compare? 


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