Ms Elizabeth Phillips
I am currently a second year DPhil Student at the Centre for Doctoral Training (CDT) in Cyber Security and a Graduate Teaching and Research Scholar in Computer Science at Oriel College.
In June 2014, I was elected the new president for Oxford University's Women in Computer Science Society (OxWoCS). As president, I helped provide direction for the society as well as helping secure new sponsors for the society. As co-founder, I was responsible for arranging Oxbridge Women in Computer Science since it began in 2014 and have helped expand the conference to over 150 attendees. I also participate in numerous Women in Computer Science events for potential students as well as additional mentoring events as a Computer Science ambassador and a university Widening Participation mentor.
In addition to my academic commitments, I am also a member of the department's Social Committee and their Equality and Diversity Committee, Commitee of Graduate Students (CoGS) and Joint Consultative Committee for Graduates (JCCG). As one of the student representatives on these committees, my role is to voice the opinions of the students to the rest of the department and encourage greater equality across the department. These tasks include helping write the department's successful Athena Swan Application and various social activities.
I have received numerous scholarships and awards during my time as a student including the Gender Representation in Security (GREPSEC), Google Women in Tech Travel award, Blackhat Executive Women Forum scholarship, ABI GHC scholarship, and in 2014 received the first Outreach Award for the Oxford MPLS for my work as a CS and STEM ambassador. A summary of my results and scholarships can be found here.
My thesis is entitled: Assessing the Threats and Benefits posed by Extracting Influence and Community structure from Communication Metadata on Dark Web Forums.
My work sets out to investigate the risk and any potential benefits associate with the collection of Metadata. In particular, it sets to identify and mitigate potential threats posed by extracting influence and hierarchy from the communication metadata of communities of interest on Dark Web Forums. In order to help answer this question, we investigate the ability of SNA to extract hierarchy from the data and establish individuals with high influence within the network using metadata communication alone.