[2024 project] apply_product team

[hyunjimoon]

Bold from below collaboration plan, in parallel with #201

The MIT PI Charles Fine and coPI Abdullah Almaatouq have built two parallel teams to combine theory and practice for this project. The theory team (Abdullah, Angie) will have biweekly meetings to enhance technical feasibility of the GPS such as developing computational statistical models that decompose effects of team, process, task, industry from the log of past startups. These models can help test generalizability of existing theories. Further experiments can be designed using integrative experiment design which contributes to generate cumulative empirical and theoretical knowledge (Almaatouq et al (2024)). Concurrently, the practice team (Charlie, Doug, Angie, Anup) will have biweekly meetings to enhance operational feasibility. This involves translating statistical evidence from the theory team into actionable business insights and continuously integrating insights into custom tools, and discussing the architecture for better collaboration with Google to use its data and computational resources. MVP implemented on MIT digital entrepreneurship platform and its enthusiastic reception from our beta users (5,000) shows potential of our product. Based on this pipeline, GPS can be delivered to startups to help them craft business plans in a fraction of the traditional time.

[hyunjimoon]

JB, Angie's meeting:

• Observation 1: Go deeper in the pivot / reconfigurations in the evolution of a startup or research line by transferring knowledge from exaptation research
• Observation 2: Examine Bob Horn complex visual representation (mega mess mapping)
• Mockup 1: From this qualitative pre-study, we can then create a mockup of an explainable evolutionnary map/tool/platform fro startup innovation in biotech and semic
• take inspiration to make it from stat, business, simulation (SBS)
• clock and compass

JB, Charlie, Angie's meeting:

based on pre-alinged JB, Angie's action item, participants discussed the importance of focusing on concrete, actionable steps in startups, adapting to unexpected circumstances, and incorporating situated contingencies into the planning process. They emphasized the need for a systematic approach to making progress, collecting data, and understanding the evolution of business models. Additionally, they highlighted the potential for developing a tool to assist with biotech product management and the challenges of using GPT products versus Orbit.

Action Items

Goal

• define goal and ask charlie and jb's verification: deliver AI tool that supports startup growth with frontend (animation that maps startup action with outcomes; mockup) and backend SBS ((statistics, business, simulation) theories ) + transfer knowledge from expatiation research to startup business theory

Asset

• Schedule a monthly Zoom call for further discussion and ideation.
• log "gantt chart dynamics" i.e. chain reaction of NASA's planning tools w.r.t. mission change in gantt chart dynamics #203
• Look into potential funding sources like Google venture and biotech VCs.

Technology

• build examples of what biotech and semiconductor could learn from each other in BAE1. argmax_x (u|x, theta's atomness) industry effect #190 (examples of potential Spandrel between two industries with different clockspeed and physicalness including physics and biology, science and technology as in Interpreting science-technology pair as need-solution pair #169 (comment))
• learn Bob Horn's work on information mapping and visual representation of complexity, by attending Thursday talk
• find upto two UROPs https://urop.mit.edu/mentors/ who can help design and code database: this requires 1) how to encode startup evolution (e.g. should I set each action A, AG, AGC, AGCT as separate row?) 2) startup action taxonomy (define the right abstraction level)

Customer

• Reach out to biotech experts like Natalie Kuldell to learn more on biotech growth and tools they need + visit biotech incubators

Recurring

• Make 1-month plan and share status two days before monthly meetings (share biweekly progress mail)

[jeanbaptiste]

Regarding NASA, look at TaskNet and MEXEC. Look particularly at the Biotechnology scenario that Tiago (with whom we submitted a grant application between JPL and MIT) developed (at the end of the second paper page 412.

IntEx-2020-MEXEC-2.pdf

vaquero-et-al-2023-property-based-brittleness-analysis-of-temporal-networks.pdf

[jeanbaptiste]

[hyunjimoon]

I love how you're sharing images, which have the highest information concentration in the paper, proxied by authors' time investment. Comparing images on their structural level is exactly the mechanism behind my reconfiguration!

[hyunjimoon]

@jeanbaptiste re: system complexity, there has been attempts to connect computer complexity theory with system complexity by Jeannette Wing, as on of the five deep questions in computing

• (How) can we build complex systems simply?

the other four are: P = NP?, What is computable? , What is intelligence? , What is information?

[hyunjimoon]

• entrepre. success
  
  FreseGielnikPsychologyofentrepreneurshipannurev-orgpsych-2014.pdf

[jeanbaptiste]

UROP info page https://urop.mit.edu/mentors/

[hyunjimoon]

job posted!