Lonnie focuses on how computers can help you improve decision making and strategic planning in novel situations. For example, you might evaluate a new initiative or proposed policy that has never been tried before. Or the future world may change as a result of emerging technologies, a pandemic, climate change, or new regulations. Without historic precedent, you cannot simply extrapolate from the past, thus limiting the effectiveness of BI, data analysis and machine learning tools. Decision makers often find it challenging to develop a core understanding of key issues, core objectives and options, complex tradeoffs, and incomplete information and uncertainty. Different stakeholders are prone to adopt advocacy positions, which then hampers communication and rationality. Lonnie leads the design and development of Analytica, a software tool designed to address these types of challenges and proven successful, through the promotion of transparent model-based decision making. He will discuss how its unique design promotes clarity and insight.
Decision making when there is little historic precedent
Lonnie Chrisman
Lonnie Chrisman is Lumina's Chief Technical Officer, where he heads engineering and development of Analytica. He has a PhD in Artificial Intelligence and Computer Science from Carnegie Mellon University and a Bachelor’s degree in Electrical Engineering from University of California at Berkeley.
Share nowÂ
See also
Building electrification: heat pump technology
Lumina set out to build a useful tool to assess the benefits of heat pumps. Learn more about heat pumps and their impact.
Heat pumps 101
Heat and cool your home while saving energy and reducing emissions by adopting heat pump technology. Learn more about this transition and heat pumps by watching this webinar.
Navigating the heat pump landscape
Fort Collins, Lumina, and Apex Analytics have created a tool to help reduce greenhouse gas emissions by optimizing building electrification programs.
US gas leaks much larger than previously estimated
A new Stanford-led study on natural gas leak rates from oil and gas activity across a large fraction of the US are about 3x more than previous government estimates. The