I am happy to announce that our paper "A Novel Mesh-based Workflow for Complex Geometry in BIM" has been accepted to ACADIA's 2017 conference: "Disciplines and Disruptions." hosted by MIT! The paper, co-authored by Dave Stasiuk and I, will be included in the peer-reviewed research proceedings. The research builds upon our recent work in utilizing … Continue reading We’re Presenting New Research at ACADIA!
Earlier this summer, I previewed some of our research on machine learning which focused on potential applications for the building industry. I am now pleased to announce that these explorations have been released as a new extension to our LunchBox tools for Grasshopper: LunchBoxML. LunchBoxML exposes new open source components built on a popular machine … Continue reading Machine Learning with LunchBoxML
We are in the heat of the summer season and we have invited summer interns to work with us to experiment with new concepts and technologies. In 2016, we focused on rapid development of focused problem-first workflows and published our content as an open source project. This year, Ally and Nazanin have joined us for … Continue reading Analytics, machines, and our summer so far…
Data literacy comes about from a much deeper investment directed towards growing knowledge and expertise. Skill sets in statistical analysis or the ability to prepare meaningful visual representations of data are practical examples of being literate in data. Cultivating data literacy can also be a much higher barrier to overcome due to entrenched corporate politics, competing business interests and resistance from decision-makers to implement analytical recommendations that challenge the status quo. In short: changing people is harder than purchasing new tools.