22 Mapping the Built Environment Process (BEP) Ecosystem via a Data to Knowledge Framework Keywords: Built Environment Process, Visual Analytcs, Big Data, Data Visualizaton, Knowledge Frameworks, Socio- Ecological Design Transitoning to a future of low-carbon built environments requires the design of mult-benefcial design strategies that take a whole building life cycle and systems-thinking approach. Such an approach has the potental to enable mult-stakeholder engagement and cross-industry collabo- raton which are current siloed in the Built Environment Process (BEP). The BEP involves energy, material and infor- maton fows at each of its phases from the inital extracton of raw materials to the fnal deconstructon of a building. Technology and big data have a role to play in establishing collaboratve networks with efcient constructon practces which track material, energy and informaton fows across the building life cycle. This paper atempts to map the BEP through a new data to knowledge framework named SEVA (Socio-Ecological Visual Analytcs), which has been designed to link heterogeneous data. It describes the methodology used to map the BEP in SEVA. This involves the deployment of semantc web ontologies to generate a knowledge graph of the BEP; virtually connectng each phase and its associated stakeholders, thereby, conceivably actng as an overview tool for the BEP. As climate pressures increase and material scarcity is imminent, innovaton in eco-systems thinking and data to knowledge frameworks will be critcal towards ensur- ing built environments embrace a socio-ecological future. SCOPING THE BUILT ENVIRONMENT PROCESS (BEP): ENVIRONMENTAL IMPACTS AND ORGANIZATIONAL BARRIERS WITHIN THE BEP According to federal scientsts, understanding the conse- quences of climate change on the US involves studying the interconnectons between the natural, built, and social sys- tems we rely on and their vulnerability to cascading impacts (USGCRP 2018) . Notwithstanding this complexity, as pointed out by AIA’s “Designing for Integraton” measure (AIA 2020), individual design strategies can ofer mult-faceted value across social, economic, and environmental systems. Managing interconnectons between systems poses many challenges, including linking siloed streams of heterogeneous data, unitng various stakeholders, and necessitatng intellectual agility to respond to societal, economic, and environmental shifs. This paper outlines ongoing interdisciplinary research, explor- ing the harnessing of big data in mapping interconnectons within the BEP (Keena and Dyson 2017; 2020; Keena, 2017). By tracking carbon, energy and material fows, it aims to surpass the concept of a building, in abstracton, fxed solely in the operatonal phase, but rather as a system which undergoes multple journeys of carbon, energy and material transfor- maton in its inital constructon and future dismantle. Such a system includes many stakeholders who represent each phase of the BEP. According to the Department of Energy (DOE 2008) , the compartmentalizaton and lack of commu- nicaton between building professionals in each sector results in suboptmal designs and less than optmal building opera- tons while contributng to environmental impacts (USHUD 2003; Du Plessis and Cole 2011). A McKinsey report on the constructon sector echoes this view, defning the sector’s lack of productvity and predictng that, faced with sustainability demands, the sector will need to reassess how it builds to reduce waste and abate carbon emissions (Barbosa, Woetzel, and Mischke 2017) .The report also highlights the role big data can play. In the constructon phase alone, the report predicts that an increase of up to 50 percent on-site productvity could be atributed to the implementaton of data techniques and accurate data fows through various stakeholder systems that are both backward looking and predictve. Within the entre BEP, data to knowledge frameworks have a signifcant role to play towards an ecosystem intelligence enabling distributed knowledge across life cycle phases. This is partcularly relevant to overcome the challenge of the expanded scope of the BEP with distributed teams and complex informaton fows, as illus- trated in Figure 1. METHODOLOGY: A DATA TO KNOWLEDGE FRAMEWORK Bridging the gap between building stakeholders and navi- gatng a mult-scalar expanded scope of design may have been unforeseen in the 20th Century, but with a transiton from industrial societes to knowledge societes, today data to knowledge frameworks ofer unprecedented opportuni- tes in decoding complexity (UN Environment 2019). The Mapping the Built Environment Process (BEP) Ecosystem via a Data to Knowledge Framework NAOMI KEENA Yale Center for Ecosystems in Architecture, Yale University ANNA DYSON Yale Center for Ecosystems in Architecture, Yale University MOHAMED ALY ETMAN Yale Center for Ecosystems in Architecture, Yale University