Based on the search results, I found some relevant information on quantifying and capturing risk in VC investments from your databases:

• In the "VC Landscape & News" database, there's an article discussing how venture capital operates with a higher risk-reward profile compared to most companies. It mentions that the economics of venture capital dictate that most investments will fail to deliver promised returns, and those that do pay off take many years to do so.
• Another article in the same database talks about the use of Monte Carlo analysis in technology development for quantifying risk due to uncertainty. While this isn't specifically about VC investments, it could be a relevant technique for assessing risk in tech startups.
• In the "Papers - Computation & Investing" database, there's a paper on the Hierarchical Equal Risk Contribution Algorithm, which goes beyond traditional risk parity approaches. This could potentially be applied to VC portfolio management.
• There's also a paper discussing network charts and their application in venture capital. This might provide insights into how VC firms can visualize and analyze risk across their investment networks.

It's worth noting that while these sources touch on aspects of risk in VC investing, they don't provide a comprehensive framework for quantifying and capturing risk specifically in VC investments. You might need to combine insights from these sources with additional research or tools to develop a more complete approach to risk management in VC.