Analytics and Public Policy Students Win 2017 Deloitte Foundation Fellowship

Analytics students have teamed up with McCourt School of Public Policy students to win the 2017 Deloitte Foundation Data Analytics Fellowship. Tiankai Guo, Ruhan Wang (both MS Analytics), Andre Lee (Master in International Development Policy), and Tommie Thompson (Master in Public Policy) met while participating in the Deloitte Core Consulting Series.

Their project “Can For-Profit Universities Mold Democratic Citizens: Higher Education’s Impact on Civic Engagement” will quantitatively compare for-profit and non-profit universities with respect to the amount of civic engagement they engender. The proposal contends that American philosophers John Dewey and Robert Hutchins believed that the university’s role is to produce civic-minded citizens, and would argue with today’s view of the university as a means to prepare students for the labor force. Says team member Thompson, “Because of this belief, I find the rise in the for-profit university sector — a sector exclusively concerned with providing technical skills and acquiring profit — worrisome. I want to better understand if for-profit institutions are a threat to our civic culture, and the resources of the Deloitte program make it possible to test these concerns rigorously.”

The project compares the level of civic engagement by graduates from for-profit universities with their counterparts from non-profit universities. The goal is to determine whether these different types of institutions produce citizens with different levels of civic engagement. “Rather than comparing employment outcomes between universities … it would be novel and exciting to think about other ‘measures of success.’ We are searching data that hits on potential volunteer activity; for example, voting, volunteering, and working in public service,” says Guo.

Lee believes this type of project demands interdisciplinary collaboration between Analytics and Public Policy. He says, “We've learned that data analytics is both a science and an art,” and goes on to note that the team members can “play to each others' strengths and shore up each others' weaknesses” while learning from each other. “The value of having members from both different schools is the presence of such unique perspectives.”

Wang also points to the strengths of the interdisciplinary team, saying, “Policy people know a lot about education systems and democracy, while analytics students have weapons such as text mining and machine learning” to guide technical analysis. She notes that working in an interdisciplinary team will “help us realize and deal with the difference between ourselves.”

  • Data Viz Challenge
    Georgetown Co-Hosts Data Visualization Challenge

    In collaboration with GWU and CGDV, Georgetown Analytics invites you to participate in a Data Visualization Challenge on April 12, 2019.

  • Georgetown Analytics Hosts Deloitte Core Consulting Series
    Georgetown Analytics Hosts Deloitte Core Consulting Series

    The MS Analytics program is partnering with the Deloitte Foundation to bring an exciting opportunity to Georgetown's campus on March 22 & 29, 2019.

  • Linguistic Diversity Around The World
    One Text / Two Languages

    This workshop covered how linguists gather, process and analyze code-switched data, exploring the NPL pipeline for processing multilingual texts and discussing various approaches to language identification.

  • Analytics student Ratnadeep Mitra stands in front of his poster next to program director Dr. Ami Gates.
    Analytics Student Showcase

    MS Analytics students showcased what they learned this semester by applying contemporary deep learning techniques to a variety of exciting topics and problems.

  • Neural attention model
    Commonsense Reasoning without Commonsense Knowledge

    Reading comprehension tasks measure the ability to answer questions that require inference from a free text story. This talk explores two machine learning approaches.

  • MS Analytics Students Selected as Finalists in Adobe Analytics Challenge
    MS Analytics Students Win Third Place in Adobe Analytics Challenge

    Shengye Hang, Ju Huang, and Tianyi Yang represented Georgetown as Team "Don't Stop Bayesian" at the 2018 Adobe Analytics Challenge.

  • QED Solutions help Missions and donor organizations answer key questions
    QED: Twenty Years of Turning Data into Big Ideas

    QED works with local and global partners to effectively implement their programs and adapt to change. Its collaborative partnerships help maximize resources while driving better results for sustainable change.

  • Graphic: Aircraft Activity Over Syria
    Hala Systems - Protect Everything That Matters

    Hala Systems develops advanced solutions for civilian and asset protection, accountability, and the prevention of violence before, during, and after conflict with the aim to reduce harm, increase security, and stabilize communities.

  • Pragmatics (Dialogue)
    Working at the Intersection of Data Science and NLP

    A glimpse of work that occurs at the intersection of data science and natural language processing, including cross-cultural name matching, Arabic proximity search, Chinese IR for term highlighting, Korean word similarity, and emoji processing for sentiment analysis.

  • Winning GU VHacks team
    Georgetown Analytics Student on Winning Team at VHacks

    Analytics student Yanchen Wang (MS '19) was a programmer for the winning team of five Georgetown students sent to participate in VHacks, a hackathon at the Vatican.