I would like to highlight some of my recent work:

  • What Happens If a Nuclear Bomb Goes Off in Manhattan? [Notebook]
  • Attribution of Blame and Responsibility in #FlintWaterCrisis [Notebook]
  • Politicians Busted while Agenda-setting on Social Media [Blog post w/ repo]
  • Twlets: Twitter→Excel, Chrome Web Browser Extension [web app, code]
  • AirBnB++: Search Listings by Reputation and Description [Notebook]
  • GeoPopularity of Politicians [Notebook]
  • Doomsayers or Pollyannas? Gatekeepers on Twitter [Paper, Notebook]
  • Zotero-picker plugin for Atom text editor [Plugin page w/ repo]


About. I strive for understanding complex social and behavioral phenomena, to this end, I’m studying towards my Ph.D. in computational social science (CSS) in the department of Computational & Data Sciences (CDS) at George Mason University (GMU). Given that most social problems are complex, I believe that integration of a variety of theoretical tools in developing new social theories or testing the existing ones make them stronger. Besides, the digital revolution gives us the opportunity to trace and measure what has been unobservable until recently, thus has the potential to provide the empirical base in understanding some social phenomena better. Yet, making sense of these “big data” has its own challenges, and requires new skills. In this regard, I educate myself in new computational and quantitative methods to address social scientific inquiries in the most appropriate ways. These methods that I employ in my research can be grouped into four: (1) social information retrieval and data analysis, (2) social complexity and network analysis, (3) social simulation and agent-based modeling, and (4) online crowdsourcing and experimentation.

Nowadays. I’m studying towards my Ph.D. thesis entitled Collective Stress in the Digital Age in the Center for Social Complexity at Krasnow Institute. I would like to thank DTRA for supporting me in this research.

Past. My background is in computer science (CS); actually, I hold two master’s degrees in CS, one with a focus on data mining and the other on internet measurements. Until Fall 2016, I have worked in the Machine Learning and Inference lab (MLI) within the Center for Discovery Science and Health Informatics (DSHI) for about five years.

More About Me…

On this personal site you can find more about my background and current research, and you can read my blogs in English and Turkish. If you are so inclined, you can follow me on Twitter and gitHub.

You can reach me at '@'.join(['toz', 'gmu.edu'])
Regarding my professional activities, you can…


I have taken so many classes. Some of them were good, and others were great. Here is a list of my favorite classes:

George Mason University (CSS, Ph.D.)

  • Computational Analysis of Social Complexity (CSS 610)
  • Spatial Agent-based Models of Human-Environment Interactions (CSS 645)
  • Complexity Theory in Social Sciences (CSS 625)
  • Geosocial Media (CSS 739)
  • Geographic Information System (GGS 553)
  • Geospatial Intelligence (GGS 684)
  • Web-based GIS (GGS 692)

George Mason University (CS, MS)

  • Big Data
  • Data Mining on Multimedia Data
  • Data Mining
  • Algorithm Analysis
  • Social Networks
  • Artificial Intelligence
  • Semantic Web & Knowledge Engineering
  • OO Software Specification & Construction
  • Software Modeling

University of Nevada-Reno (CS, MS)

  • Complex Networks
  • Computer Networks
  • Internet Protocols
  • Genetic Algorithms
  • Combinatorics & Graph Theory

MOOC (Online learning)

I think one of the greatest blessings bestowed upon new generations is MOOC. I have learned a lot especially from some Coursera courses such as Data Analysis and Statistical Inference and Model Thinking, and looking forward to learning more.

I also enjoy online hackathons, in particular, I used to actively participate Kaggle competitions, and once was a top percentile data scientist [it appears that their ranking algorithm takes active participation into account seriously].