We have recently created a database framework called Minecart which harvests data from building information sources such as Revit and IFC formats. Our database is designed to represent building information as a scalable relational structure connecting data across multiple projects, documents, elements, and parameters.
This past summer, we released LunchBoxML for Grasshopper. Many have asked if we would publish a version for Dynamo. Ask no more! As of the last update, we have included the first version of LunchBoxML for Dynamo! By having this capability in Dynamo, users are able to start leveraging data from Revit to feed the … Continue reading LunchBoxML for Dynamo
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.
