Research Plans
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Contents
Dylan Dickens
Ben Baldazo
Ben Baldazo Research Plans (Plan Page)
Startups of Houston Interactive Maps - The Whole Process
Use Google Maps to find Longitude and Latitude
- Document how to work Geocode.py and what might go wrong
Put through R code to make an interactive map
- Finding and Documenting the processes required to run the R code may be necessary
- Works on Carto and looks really cool
- We do eventually need to have a plug in and a Carto account so that we can post this on the Wiki
Accelerator Quality Issue Brief
Houston Accelerators (issue brief)
Factors to look at
- Value Added
- How to look at this though?
- Market vs Non-Market
- Philanthropic funding?
- If Non-Profit: Propublica will document contributions
- If for profit: call?
- Founded Bottom up? or Top down?
- See if it was founded by a group or individual with actual industry connections (online or phone)
- Philanthropic funding?
- Location
- Proximity to resources
- We may have to update the startups in Houston map for this
- Proximity to resources
- Available Resources (we should generally be able to call or find this on website, these should be things they brag about)
- Flex Space
- Events
- Co-Working
- Connections/Mentorship
- This can also have a judged value based on Mentor/Connection perceived experiece
- Funding (This may be hard but if they offer their own VC we can check through SDC)
- Userbase
- Leadership/Experience qualifications (Linkedin, profiles on their own websites, other bios)
- Have they driven a startup before or been in backseat
- What other qualifications do they have
- Criteria from the Acc Rankings (as long as we have portfolios then we can use SDC for this)
- VC funding history
- IPO
- Acquired
- Any other reviews possible
- Other articles (Xconomy, Houston Chronicle, etc.)
- Info from actually calling the accelerators (Putting a list of questions up on the discussion for Houston Accelerators (issue brief)
- perhaps reviews from startups themselves
- Could look specifically into startups that have gone through multiple accelerators hopefully we have phone numbers on File:HSM10.xlsx
Jake Silberman
Jake Silberman Research Plans Plan Page
Leveraged Buyout Innovation (Academic Paper)
- Finalize Hazard Model
- Determine best regression model (Cox or something else that makes more assumptions)
- Determine finalized variable set
- Predict based on model
- Match LBO and non LBO companies based on hazard model predictions
- Generate buckets, i.e. break down by industry, decade, etc...
- Determine metric for matching
- Integrate new patent data
- Create stocks of patents
- Add in patent assignment data
- Analysis of control group and study group for first results
- Refine matching if necessary
- Test for endogeneity/other issues
- Lit review for variables
- Revise preexisting regression variable write-up and reformat it to appropriate academic paper form
- Do final correct pull of SDC Data (just include IPOS)
- Clean data, throwing out duplicate names and only take most recently invested one
- Rank cities by venture capital on different metrics, either in SQL or Excel
- Write up issue brief
Shoeb Mohammed
Shoeb Mohammed Research Plans Research Plan page
Short Term
- Create a listing on the wiki for all software developed at McNair center. - Completed
- Build a Linux box to run the crawler. - Completed
Long Term
- Optimize/re-design the 'Matcher' software. In particular, speed-up fuzzy matching and possibly re-structure the code to make usage easier.
- Develop the crawler. Try to begin with code that Dan has. - Completed
Side Tasks
- If possible, redo the patent parser (previous coded by Kranti) to also pull in Patent Citation data.