|12:30 – 1:30||Check-in|
- Poster SymposiumNew! A juried poster symposium will be held for undergraduate and graduate students with two winners receiving the “Research in Practice” award. All attendees are invited to view the posters and interact with the student researchers.
- Data Technology Petting ZooCome see some of today’s new innovative technology in action! Interact with augmented reality and virtual reality researchers and the new devices they are using.
|1:30 – 2:00||Welcome and Conference Opening|
|2:00 – 2:15||Break|
|2:15 – 3:30||Breakout Sessions I|
- Technology Education Today for the Workforce of Tomorrow Join this important panel discussion about preparing to educate our K-12 students and equip them with the skills needed to successfully enter the technology-driven workforce for tomorrow.
- Bots and Deepfakes as Influencers in the Social Media LandscapeExplore how synthetic media such as deepfakes and social bots are influencing many consumers’ discussion or opinions of people, institutions, organizations, and even products.
- The Quantum Day of Reckoning: When Quantum Computing Will Break Most Crypto and What You Can Do To PrepareLearn how quantum computers are breaking today’s crypto, when it’s likely to happen, and what you can do to start preparing for it today.
|3:30 – 3:45||Break|
|3:45 – 5:00||Breakout Sessions II|
- Transforming the Global Energy Economy with Data Our group of experts discuss how data science research will potentially transform the energy economy through data-driven tactics like increasing renewable energy or transporting with less energy.
- Bringing Intelligent Security to Big Data Intelligent security that is fast, artificially intelligent, and integrates seamlessly and automatically is now a mandatory standard. Join this panel as they reveal methods and strategies on how to bring intelligent security to big data.
- Deploying AI Models In Everyday Devices To Bring Disruptive Products To Market Despite popular belief, machine learning is capable of being deployed in not only large models but also tiny, resource-constrained devices. In this discussion, we talk about how machine learning can bring additional safety, efficiency, and performance to everyday devices like treadmills.
|5:00 – 7:30||Reception|