Bin Zhang M.S. Student in Geoinformatics I am a M.S. student in Geoinformatics at the University of Iowa. So far, I have taken numerous courses in computer science and GIS that range from introductory GIS to geovisualization, spatial database management systems, remote sensing, lidar, and applications of GIS in environment and health. I have gained experience in processing and visualizing various types of GIS data using Python, R, JavaScript and D3, and GIS software such as ArcMap, ArcGIS online, Geoda and QGIS. I am working with Caglar on a Twitter project that aims to identify the potential usefulness of social media as a source of stories of weather including expressions of daily weather, severe weather and climate change. I am analyzing a large collection of Twitter data from 2013 up until now to extract people’s stories, attitudes and behavior towards climate change, disasters, and extreme weather events as well as daily and unseasonal weather information.
Bryce Deitrich Assistant Professor I am an assistant professor of social science informatics in the Department of Political Science and the Department of Sociology at the University of Iowa. I am also a cluster faculty member in the Iowa Informatics Initiative (UI3). My research uses novel quantitative, automated, and machine learning methods to analyze non-traditional data sources such as audio (or speech) data and video data. I use these to understand the causes and consequences of elite emotional expression in a variety of institutional settings, with a particular emphasis on non-verbal cues, such as vocal pitch. More recently, I have used text, audio, and video analysis to explore issues related to descriptive representation and implicit gender/racial bias. I recently began an aggressive collaboration with Caglar and the rest of the members of the GeoSocial Lab. Our broader researcher agenda has focused on the discussion and diffusion of political topics in large Twitter networks. 
Haowen Xu Alumni at Oak Ridge National Laboratory (ORNL) Prior to joining ORNL, I was a research assistant at the IIHR – Hydroscience & Engineering, with research interests in water resources engineering, Hydroinformatics, and software engineering. I seek innovative approaches that apply advanced computation and information technologies to solve problems in environmental science and Hydroscience for better water management. I worked with Caglar on developing computational and visual analytics tools to analyze the characteristics of watersheds and identify the spatially varying factors that influence culvert sedimentation.
Hoeyun Kwon Ph.D. Student I am a PhD student in Geography with a focus on Geoinformatics and natural disasters. My specific research interests are predicting and analyzing many stages of a disaster using multi-source big geospatial data and social sensing. For my master's thesis, I analyzed contents, location and time of tweets during 2011 flood in South Korea. My results revealed that flooding was reported in social media two hours prior to the first breaking news, which shows the effectiveness of citizen sensors in emergency situations. In my PhD, I plan to build upon my Master's research to develop novel methods and techniques in GIScience for multi-source analysis of social sensing and big geospatial data for disaster management. In the future, I hope my research can contribute to make our society a safer place to live where fewer news stories convey tragic losses.
James Wo Assistant Professor My research and teaching interests are in research methods, statistics, and urban sociology with an emphasis on neighborhoods and crime. My approach draws on criminology, organizational sociology, and geography to examine the critical components of social organization within neighborhoods, how these components affect mechanisms of collective social action, and the consequences of such action for neighborhood crime. I am currently studying how neighborhoods change over time, how that change both affects and is affected by neighborhood crime, and the role land uses and community organizations play in that change. In my collaboration with Caglar, we are working to distinguish high crime areas from low crime areas using a multitude of data sources and measures. In doing so, it is our hope we will be able to pinpoint what types of neighborhoods—based on groupings of social and ecological factors—might benefit the most from city-wide services and programs
Kang Pyo Lee Research Scientist I am a research data scientist at the University of Iowa Informatics Initiative (UI3) and ITS Research Services. As a data analytics consultant, I stand ready to assist researchers on campus at every step of data analysis such as collecting, processing, analyzing and visualizing of data, and ultimately gaining insight from the data. I also provide many different kinds of training sessions on data analytics. I earned my doctorate in Computer Science at Seoul National University. After graduation, I worked as a data scientist at Samsung Big Data Center, where I led a number of market research projects that analyzed big data from social media. Recently, I’m enjoying the collaboration with Caglar, where I contribute to tweet text retrieval and analysis.