Remote Sensing: Hardware-Enabled Data As A Service
We and our partners build and deploy sensors, connect them via a mesh network, and collect the data in a database for historical and real time analysis for safer, more efficient and environmentally sensitive outcomes. For example: drone- and land-based methane sensors in oil and gas production, transportation and storage locations to quickly identify, measure, and localize leaks, reducing green-house gas emissions. Ice thickness and location sensor for commercial shipping and ice-breaking companies to make faster, safer journeys through arctic waters.
Lean Research and Lean Data
We advise how to shape survey instruments, research design, and outcome discernment to minimize the impact on participants while maximizing value. We follow the Lean Research Framework.
Data Semiotics: the study and practice of meaning-making
We translate complex new technology capabilities into meaning for participants and community stakeholders. We collect data, and then design and implement a participatory process for stakeholders to collaboratively make meaning of the data. An ethical, culturally aware approach is a better vehicle for transferring knowledge, capacity, and a sense of ownership. It is also more impactful and replicable.
Socio-Technical Systems Integration
We customize socio-technical information systems to provide and process strategic and real-time data for disaster risk reduction, emergency response, and conflict-sensitive contexts. A custom-built array of remote sensors on satellite and UAV platforms, social media and internet data scraping, and publicly available databases constitute an array of structured and unstructured data fed through algorithms that inform and complement traditional community and peer to peer interactions designed both for collecting data and collaboratively making meaning of it.