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Learning objectives:
- Practice a creative approach to imagining startup ideas
Prework: none
Discussion (30m):
- Introduction to practicum
- Why "ideas are cheap":
- Ideas are starting points
- Ideas aren't unique
- Ideas grow when shared
- Ideas are hard to defend
- Ideas are unpredictably good and bad
- “It’s all about execution”
- Approaches to startup ideation:
- Startup ideation as a toolkit
- Startup ideation as a muscle
- Individual vs networked ideation
- Organic vs inorganic ideation
- Multiple approaches
- Working backwards from the future (the adjacent possible)
Exercise (90m):
- "Remember when..." brainstorm in randomly-assigned teams (30m)
- Improving startup ideas (30m):
- Evaluating startup potential with the product/market map
- Early adopters and usage
- "Remember when..." brainstorm in randomly-assigned teams (30m)
Guests: none
Recommended reading:
- Paul Graham, How to Get Startup Ideas
- Steven Johnson, Where Good Ideas Come From
- Geoffrey Moore, Early Adopters: The Visionaries (p25–28)
Learning objectives:
- Practice a data-driven approach to discovering startup ideas
Prework:
- Marc Andreesen, Product/Market Fit
Discussion (20m):
- Demand as the driver: current demand and potential demand
- Supply vs demand
Exercise (100m):
- Mine search query trends to discover interesting patterns of demand in randomly-assigned teams
- Further explore interesting patterns to discover unmet or poorly met demand
Guests:
- Gerry Campbell, author of “Demand Horizon”
Recommended reading:
- Gerry Campbell, Demand Horizon
Learning objectives:
- Practice an approach to inspiring startup ideas by recombining existing startups, platforms, and use cases
- Gain familiarity with up-and-coming technology platforms
Prework:
- All about Watson
- Watson examples:
- Jeopardy IBM challenge day 1
- Jeopardy IBM challenge day 1
- Oncology demo
- IBM’s Watson-Based Oncology Computing System Recommends Treatment with High Accuracy
- All about Bitcoin:
- More Bitcoin examples:
- How Bitcoin works diagram
- Future of money
- [About MakerBot] (http://www.makerbot.com/?gclid=CjwKEAjwhqShBRDS95LciqqaonISJADj1rgawz0-g27aLpbx-Hg1Xnat8CDoGd960T9jZKxAMAzugxoCv1fw_wcB):
- 3D printing examples
- Innovation in 3D printing https://www.youtube.com/watch?v=nRtuX-3ACxU
- 3D printing in the educational segment (from 1:07-1:30)
Discussion (10m):
- Innovation as recombination
- VC bait (“the X of Y”)
Exercise (110m):
- Play VC Bait in randomly-assigned teams (30m)
- Improving startup ideas (15m):
- Imagining disruptive startups with the innovation/market map
- Crowded markets
- Guests introduce their platforms (15m)
- Play VC Bait in randomly-assigned teams within three groups (Watson, Bitcoin, 3D Printing), with guests as the VCs playing their given platforms as comparables (50m)
Guests:
- Dejan Radeka, Client Technical Architect at IBM Watson (Watson)
- Ken Lang, CTO at Vringo and former CTO at Lycos and Scott Johnson, CFO of Coinometrics (Blockchain/Bitcoin)
- Anthony Moschella, VP Product and Jonathan Cook, Senior Product Manager at MakerBot (3D Printing)
Learning objectives:
- Practice an approach for deriving startup ideas from personal experience
Prework: none
Discussion (15m):
- Approaches to deriving startup ideas from personal experience:
- Being an expert, being on the edge, and riding the wave
- Reducing friction, pain, effort, and ugliness
- Fulfilling wants, plugging holes, and blowing up features
- Doing what’s fun and interesting
- All the above, for a friend
Exercise (105m):
- Interview each other in randomly-assigned teams to surface aspects of personal experience, then brainstorm inspired product and startup ideas (75m)
- Share “best of” ideas (30m)
Guests: none
Learning objectives:
- Practice an approach to iterating on startup ideas based on pitching and listening
- Gain familiarity with unfamiliar market sectors
Prework:
- Based on assigned team and space, prepare a seed of a startup idea, using the NewCo deck, to discuss with guest in that space
- Required reading:
- Nat Turner, 90% of Feedback is Crap: How to Find the Next Big Startup Idea
- For FinTech:
- For Brain:
- Brain Challenge Summary (base your startup idea on one of these 16 inventions)
- For Health:
- Social Entrepreneurship:
Discussion (10m):
- Iterating on startup ideas (5m)
- Guests introduce themselves and their spaces of interest (5m)
Exercise (110m):
- Each team discusses "over coffee" their startup idea with guest (10m/team, 40m total)
- Each team improves their NewCo deck based on feedback and prepares their pitch (20m)
- Each team pitches to guest using their NewCo deck (10m/team, 40m total)
- As a group, discuss lessons learned. (10m)
Guests:
- Mike Walsh, General Partner at Green Visor (fintech)
- Deborah Estrin, Professor, Shuli Shwartz, EIR, and JP Pollak, Visiting Scientist, all at Cornell Tech (health tech)
- Rosemarie Truman,Founder and CEO, and Jonathan Lui, Managing Consultant at The Center for Advancing Innovation, at Brain Challenge (brain tech)
- Satwik Seshasai, VP of Engineering at Segovia (social entrepreneurship)
Learning objectives:
- Practice debating the promise of startup ideas
- Practice helping each other improve startup ideas
Prework:
- Complete survey to endorse startup ideas in the idea tracker
- For those students participating in the debate, prepare arguments
Discussion: none
Exercise (120m):
- Debate open to the Cornell Tech community, where the most endorsed ideas are debated (first hour)
- Working session to connect with like-minded students and improve each others' ideas (second hour)
Guests:
- Cornell Tech community (for the open debate)
Recommended Reading:
Homework:
- Attend the campus social directly after this week’s practicum to continue connecting with like-minded students
Learning objectives:
- Practice creating and presenting a short-form narrative
Prework:
- Self-organize into teams focused on a specific startup idea and prepare a short narrative on the team’s choice of startup idea & team members and the team’s ambitions for next semester’s Startup Project.
Discussion: none
Exercise (120m):
- Teams unveil their team selections and startup ideas in the form of a short narrative, including their initial thoughts on what they plan to build for their Startup Project the following semester (5m/team)
Guests:
- Cornell Tech community
Recommended Readings:
- The Startup Projects page