This research aims to examine financial policy decisions made during the Great Depression and 2008 recession, two of the largest financial crises in America’s history. While there have been numerous investigations regarding these crises, the goal of this research is to go beyond why the crash happened and analyze the mechanics of the monetary policies the Federal Reserve implemented in order to prevent economic meltdown and revive investor confidence. Three types of sources will be utilized: historical texts, Federal Reserve records, and various indicators.

The goal of this project is to determine whether the previous marketing strategies of successful products can be applied to current products. In 2007, the original iPhone was released and it seized markets shares from companies that dominated the smartphone market. The project will entail surveying people of different demographics about the competitiveness of Apple's original iPhone marketing strategies to determine whether the marketing strategies of the original iPhone can still be adopted today to help startups obtain market shares.

The research focuses on collecting and analyzing data sets on corporate and consumer finance from existing data sets to provide pretext for the impact of artificial intelligence. The subcategory of AI in this research is machine learning, and applies to various parts of the financial services industry for both consumers and businesses.

This research will focus on inclusive marketing and the strategies that make it a successful technique. Using the information gained from a literature review, this project will involve analyzing and applying the practices of inclusive marketing to attract student to non-STEM research projects in AAR.

This research project is a historical analysis of examining data from the past few decades which will be used to compare the effectiveness of NAFTA and CUSFTA. More specifically, international trade deals on steel will be compared to the current American views on international trade deals.

This research project is an analysis of tech manufacturer companies in the Silicon Valley and how they impact the California economy which is about $2.5 trillion USD. This project will focus on how much revenue these companies make and how many people they employ because both of these are two major components of our economy.

The ability to cross-sell products allows a company to increase customer engagement and loyalty, ensuring the sustainability of a company and the success of its products. Through careful competitive analysis, Google Cloud will be able to make more informed decisions regarding cross-sales methods and implementation. Research is done in two parts: analyzing competing companies and surveying Google customers.

In the 21st century, “superpower” countries have the ability to advance exponentially while developing countries, without the proper resources to fully modernize, may only progress marginally. As a result of this difference in the rate of progress, the method in which revolutionary ideas or products are marketed to consumers is affected. This study aims to determine which aspects of a country’s development allow for its particular marketing strategies to prosper in order to better our understanding of worldwide disparities in economies.

This research project entails surveying financial institutions around the Bay Area to investigate where they are currently placing their investments. Through this qualitative research, the survey will likely be a mix of short answer and multiple choice questions. The results analyzed from this survey will be used to develop an investment strategy for a company called Digital Insight.

This study aims to determine the best and most effective way to target high schoolers from Palo Alto High School in order to market a new social media application. High school students are a very enticing audience for new social media applications as their influence carries far to friends, family, and often, pop culture. Thus, finding a reliable way to market products to high schoolers enables companies to sell their product in the most efficient way.