How do the real-time data requirements of many sustainability innovations, encompassing environmental (heat, moisture, etc.) and human characteristics (how people are using a given piece of equipment, but also big data predictive algorithms about populations), raise concerns about privacy implications? Specifically, in the context of pitching a sustainability initiative that involves generating or collecting potentially sensitive data, how would you navigate the balance between project benefits and potential risks related to privacy