2019 Tech Science to Save the World Poster Fair

Food will be provided at this event.

Join us on Thursday 5/2 to see posters from students in GOV 1430 Tech Science to Save the World that answer:

• Is the rapid rise of social media partially to blame for the increased number of mass shootings and violent incidents?
• How do people process algorithmic risk assessments of black and white defendants?
• Are jury pools and jury boxes representative of their broader communities?
• Can we use statistical analysis to address and predict police conduct and civil rights violations by officers?
• How effective are robocall blocking apps?
• Will New York City's congestion pricing plan work?
• How do you educate the public on definitions of algorithmic fairness, equality, accuracy, and bias?
• Can the anonymized Home Mortgage Disclosure Act (HMDA) data be re-identified?
• To what extent has cost caused low-income communities to be left out of America’s solar revolution?
• How often are "skinny" non-ACA-compliant health plans on top of Google search results?
• Can an employer’s search queries on LinkedIn produce biased results?
• How many .gov websites are vulnerable to well-known exploits?
• What are the privacy concerns from Venmo transactions being public by default?
• How much more location data is gathered from popular iOS apps that request "Always"vs. "While Using the App" sharing of location data?
• How can online news sources and social media be used by NGOs to detect human rights abuses?
• Are changes in Twitter activity correlated with the rise and fall of ISIS?
• What are the differences between states in the kinds of risk assessment algorithms they use and how they validate their algorithms?
• Is there a relationship between the amount of negative news coverage a candidate receives and the outcome of the election?
• How much is Google's AlphaZero A.I able to learn and what are its limits?
• Are RFID systems vulnerable to cloning attacks?
• What are the differences in suggested jobs and ads for users of different races, ethnicities, and gender on LinkedIn?
• And more!