Deep Tech Innovation Workshop hosted by Hangar6
Date and Time
Wednesday Jul 26, 2023
5:15 PM - 7:15 PM EDT
SESSION 1: June 28th
Problem Definition and Solution Ideation
SESSION 2: July 5th
Digital Prototyping and Simulation
SESSION 3: July 12th
Demonstrators vs. Prototypes
SESSION 4: July 19th
Build, Testing, Validation, and Data-Driven Decision Making
SESSION 5: July 26th
Build Physical Prototype and Testing
SESSION 6: August 8th
Learning Cycle: Analyze Data and Refine the Digital prototype - Decide next Step
SESSION 7: August 9th
This might work! Building, Scaling and Commercialization of Innovative Solutions
SESSION 8: August 16th
Final Presentation
Location
First Flight Venture Venture
2 Davis Dr.
Durham, NC 27709
Fees/Admission
Attendance to each session can be purchased separately for $100 a session or you can purchase our BUNDLE DEAL for $500 to attend all 8 sessions and save! This workshop will go up to its original price in the fall, at $3,000.
Website
Contact Information
First Flight Venture Center
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Description
This workshop offers 8 different hybrid sessions and will be a "learning" workshop as we plan to develop our content and perfect each session prior to launching our First Annual Deep Tech Innovation Workshop in the Fall of 2023.
This workshop focuses on the Design, Build, Test, Learn (DBTL) methodology for deep-tech innovation and product development. Through case studies and hands-on exercises, participants will learn how to effectively prototype solutions to real-world problems and improve their solutions based on continuous feedback and data-driven decision-making. The workshop will cover a complete cycle of the innovation process, from problem definition to commercialization, emphasizing the importance of feedback loops, interdisciplinary collaboration, agile development, and continuous learning. Students will make plans for testing and evaluation, and learn how to accelerate product development by tracking where their plans succeeded, where they failed, and what tools and methods are available to help improve product performance and market fit on the next DBTL cycle. Additionally, participants will learn techniques for deciding between physical prototyping, digital prototyping, or hybrid approaches.
The course instructors will encourage participants to regularly examine their own cognitive biases and resource limitations, so the right questions can be asked and feasibly answered.
