Social and Decision Analytics

Gizem Korkmaz

  • Research Associate Professor
Gizem Korkmaz headshot
Bio

Bio

Gizem Korkmaz is an Associate Professor at the Social and Decision Analytics Division (SDAD) of the Biocomplexity Institute & Initiative at the University of Virginia. She is also an Adjunct Assistant Professor in the Department of Agricultural and Applied Economics at Virginia Tech. Her research focuses on social and economic networks, involving mathematical and computational modeling, and empirical analysis. Gizem received her PhD in Economics at the European University Institute in 2012. Her PhD dissertation spans game theory and network theory; focuses on the interplay between the network structure and strategic decision-making.

She is the principal investigator (PI) of 2016 Minerva research project titled "The Dynamics of Common Knowledge on Social Networks: An Experimental Approach." She is also Co-PI of two projects as part of DARPA programs: Computational Simulation of Online Social Behavior (SocialSim) and Next Generation Social Science (NGS2). She was selected as the 2016 Outstanding New Faculty by Virginia Tech Northern Capital Region Faculty Association. During the postdoctoral research position at the Network Dynamics and Simulation Science Laboratory, she contributed to the EMBERS project, as part of IARPA's (The Intelligence Advanced Research Projects Agency) Open Source Indicator program. She developed network-based and statistical models that use multiple data sources such as social media including Twitter, news/blogs in order to predict critical societal events (protests, strikes) and election results in targeted Latin American countries.  

The hallmark of her research is to blend her knowledge in traditional economics with big data using tools from social network analysis and machine learning. She works with traditional as well as novel data sources (e.g., social media, 911, Fire/EMS, patient records, census) to ask how we can make data useful for people and communities.

CV

In the News
Data Science for the Public Good

The University of Virginia’s Biocomplexity Institute announces that it has entered into a Memorandum of Understanding (“MOU”) with five entities in Turkey, establishing the Data Science for the Public Good (DSPG) Young Scholars program in Istanbul and Ankara, Turkey’s capital city.

Data Science for the Public Good

Over the last five summers, students from across the country have come together at the Biocomplexity Institute’s Arlington, Va. location for the Data Science for the Public Good (DSPG) Young Scholars program – an 11-week immersive research program through which students gain world-class, hands-on professional experience combining data science and public service. This year, as the world continues to evolve due to the COVID-19 pandemic, the program has followed suit, adopting an entirely virtual format for the first time.

Selected Publications
Social and Decision Analytics
Social Network Analysis and Mining (SNAM), 10(1):5.: (2020) Korkmaz G, Kuhlman CJ, Goldstein J, Vega-Redondo F.
Social and Decision Analytics
J Quant Criminol, (2020) Kelling C, Graif C, Korkmaz G, Haran M.
Social and Decision Analytics
MethodSpace. SAGE Publishing., https://www.methodspace.com/novelty-in-the-news-detecting-innovation-with- machine-learning: (2020) Neville Q, Sawhney R, Nair D, Kattampallil NA, Korkmaz G.
Social and Decision Analytics
MethodSpace. SAGE Publishing., (2020) Cong C, Isch C, Tobin E, Korkmaz G, Calderón JBS, Schroeder A, Kramer BL.
Social and Decision Analytics
2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, 169-180, doi: 10.1109/WSC40007.2019.9004754.: (2019) Hu Z, Deng X, Goode BJ, Ramakrishnan N, Saraf P, Self N, Adiga A, Korkmaz G, Kuhlman CJ, Machi D, Marathe MV, Ravi SS, Ren Y, Cedeno-Mieles V, Ekanayake S.
Social and Decision Analytics
The American Statistician, doi: 10.1080/00031305.2019.1695664: (2019) Arnsbarger M, Goldstein J, Kelling C, Korkmaz G, Keller S.
Social and Decision Analytics
Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) , pp. 409-412. : (2018) Korkmaz G, Kuhlman CJ, Goldstein J, Vega-Redondo F.
Social and Decision Analytics
In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) , pp. 511-514: (2018) Korkmaz G, Kelling C, Robbins C, Keller SA.