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GROW Session #3

Part of Introduced by Technical.ly

Intersecting Science and Technology: Solution Based Case Studies

It’s been said that the next great wave of innovation will start in the science lab.

This session will present you with three different case studies, all surrounding how individuals and organizations and blending tech and science to solve problems. All three are approaching problems in unique ways that merge these two fields in innovative ways. See previews of all three presentations below.

Case Study #1 with Temple University

A popular saying in cybersecurity is, “Given a choice between dancing pigs and security, users will pick dancing pigs every time.” However, this statement is unfair—insights from neuroscience show that people’s seemingly lazy or careless security behaviors are not necessarily careless at all, but are a natural consequence of how the brain works. In this talk, you’ll learn how neuroscience can be used to better understand people’s security behavior and design more usable security warnings. To illustrate, hear from a series of experiments that combine functional magnetic resonance imaging (fMRI) and traditional usability experiments. The results reveal the substantial effect of neurobiology on people’s security behavior, and suggest practical ways to improve security warnings.

Case Study #2 with CGI

In 2017, opioid overdoses accounted for more than 47,600 deaths, more than any previous year on record. The U.S. Health and Human Services estimates that approximately 40% of all opioid overdose deaths involved a prescription opioid. For its part in helping to combat the opioid epidemic, the Federal Health Architecture (FHA), an E-Government Line of Business initiative, envisioned both a short-term and long-term solution for accessing and aggregating prescription data from multiple states. In this session, CGI will explore the role that data, technology and information-sharing can play in easing the opioid crisis that kills increasing numbers of Americans every year.

Case Study #3 with Snowflake

The pace of technical innovation has never been more evident than it is today across countless industries and subject areas that traditionally have been stymied by the sheer size and complexity of the problem’s they look to solve. Part of the reason for this change has been the advent of cloud technologies and software that is designed to deal with these types of problems. This session will examine specifically how Snowflake, the data warehouse built for the cloud, is helping to drive some of this innovation in the area of Genomics. With it's novel architecture that boasts unlimited elasticity and scale, scientists and researchers can begin to analyze and report on data that until recently has simply been to costly or too complex to manage.

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