A Webinar for Community Activists Who Want to Help Restaurants Ditch Plastic

HPE Discover 2017 Madrid in November was huge. Huge in participants (over 10,000+) and massive in insights, changes, direction, for the digital transformation of business and private lives.From potato chips to spaceships, IoT is delivering innovation and efficiency to the world around and above us. The next frontier for IoT creates actions where the data generates the Intelligent Edge. Dr. Tom Bradicich at Discover shared how HPE is putting IoT into action by combining the power of secure connectivity, control and compute at the edge.

Susan Lovasic is the Global Regulatory Affairs Manager - Tyvek® Protective Apparel for DuPont Protection Solutions and is located in Richmond, Virginia. Ms. Lovasic received her B.S. degree in Chemical Engineering from the Pennsylvania State University and has worked for DuPont since 1984 in both research and marketing capacities across a variety of businesses, including Stainmaster® and Antron® nylon carpet fibers, Kevlar® and Nomex® aramid fibers, and Tyvek® and Tychem® chemical protective garments. Since 1996, Ms. Lovasic’s research efforts have focused on protective apparel applications to help protect wearers against chemical, biological, thermal, and fire hazards. She has led research to assess the critical properties of protective apparel ranging from assessment of comfort and durability properties to instrumented thermal mannequin fire and electric arc flash testing and hazardous chemical barrier testing.

In recent years, we have seen a reawakened interest in hydrogen fuel cell and water electrolyzer technology, with an important economical driver being the continuously lowered costs for intermittent renewal electricity generation from wind and solar.

The design, development and implementation of a robust, predictable, and scalable manufacturing process is the key outcome of chemical development. In chemical development, laboratory automation plays an important role—enabling the collection of large experimental arrays directed towards the discovery and optimization of process conditions that yield robust, predictable, and scalable manufacturing processes. To take a relevant example, rationally-designed and automatically-executed experiments can be used to accelerate the discovery of new reactions and build unprecedented understanding around chemical reaction dynamics.