Join Emilie at the Bakar ClimatEnginuity Hub Symposium on Climate Change Technology on Sep 6, 2024 at UC Berkeley.
The recently announced Bakar ClimatEnginuity Hub (BCH) will serve as a nexus for excellence in climate and energy innovation and entrepreneurship, lowering the barriers to the translation of impactful discoveries into companies that can create scalable solutions for societal problems. BCH will build on the success of QB3, a multicampus UC institute focused on scientific innovation and entrepreneurship, and the Bakar BioEnginuity Hub, the largest university-owned and operated incubator for life sciences start-up companies.
BCH’s goals for the symposium are:
- To engage and inform academic and national laboratory partners in the concept and timeline for BCH.
- To illustrate how UC Berkeley and LBNL provide an unmatched academic, research, and entrepreneurial environment for a project like BCH.
- To examine the latest technologies that address climate change and are best suited for startup R&D in BCH.
- To brainstorm with potential industry, venture capital, and philanthropic partners about to support BCH programs and companies (from mentoring, to undergraduate internships, to growing startups).
In partnership with QB3, the BCH will build a pipeline of funding and programming for academic internships, mentoring, networking, and investing to accelerate companies in climate technology fields. Building on UC Berkeley and LBNL strengths, including over 300 leading faculty working at the cutting edge of technology relevant to climate, focus areas will include: renewable energy; energy storage; carbon capture and sequestration; advanced building and manufacturing technologies; transportation technologies; and others. The new 145,000 square foot space and its programs will be located in a vibrant new innovation zone adjacent to downtown Berkeley and will open in 2028. The BCH is being designed to provide highly flexible wet laboratories and spaces,and scale-up capabilities to support startups rooted in chemistry, materials science, and rapid instrument prototyping, propelled by artificial intelligence and machine learning.
