Distance is one of the most critical concepts in geography and has been widely used to quantify spatial separation between geographical entities. While measuring the distance between two points is straightforward, assessing the spatial separation between non-point objects can be challenging. This study investigates distance measurement between a location (point) and an area (polygon).
Responsive and adaptive survey designs can be used to reduce the risk of nonresponse bias through data collection. In responsive design, different protocols that appeal to prior nonrespondents can be introduced in phases. In adaptive survey design, particular nonrespondents can be targets in these subsequent phases, based on predefined criteria. In the case of nonresponse bias, the criteria can be propensity models. Key, however, it the specification of these models.
Gathering, managing, and using social data to address critical questions requires the development of large-scale data infrastructures. In this Social Data Science Center (SoDa) panel, the distinguished speakers will share their experiences with the challenges and opportunities presented by efforts to create social data science infrastructure at the state, national, and international level.
Next-Generation Information Systems Theory January 27, January 29, and February 4th, 2021 Accelerating change, increasing complexity, and the unprecedented availability of data and algorithms for pattern identification have led some to argue for a reduced emphasis on theory in IS research. However, it is our contention that theorizing is now more critical than ever. Rather…
Frauke Kreuter, Esther Kim, Sarah LaRocca, Katherine Morris, Christoph Kern, Andres Garcia December 21, 2020 Context The Global COVID-19 Trends and Impact Survey, which launched in April, 2020, is currently the largest ongoing public health data collection effort related to COVID-19. The survey is led by the University of Maryland and Carnegie Mellon University in…
Social Data Science Center presents: Measuring Emotion, Conflict and Disagreement A Panel Discussion with Q&ATuesday, November 10, 2020 Panelists Annotation of Emotions and DisagreementPresented By: Dr. Susannah B. F. PaletzResearch Professor, College of Information Studies (iSchool), University of Maryland.Affiliate, Applied Research Lab for Intelligence and Security (ARLIS).Associate, Social Data Science Center (SoDa). When Does Disagreement…
Faculty and alumni of the Joint Program in Survey Methodology (JPSM) recently received awards from the U.S. Census Bureau in support of innovative work to improve the science of data collection. The first award was to RTI International to build a new Ask US Panel. This project will design, build and maintain a probability-based online research…
What does the future of collaborative efforts look like when research methods and strategies of academics are combined with industry help? The powerful information available in large social science data sets is critical to understanding and addressing many of our nation and world’s most pressing challenges: from Covid-19 to racial, social and economic injustice; and…
The University of Maryland today announced the launch of the Social Data Science Center (SoDa), which will meld computer science with social science theory and analysis to help researchers address challenges in health care, education, climate, entertainment and government. Facebook is supporting the center’s research and education programs over the next three years, including its inaugural project,…
The COVID-19 symptom surveys are designed to help researchers better monitor and forecast the spread of COVID-19. In partnership with University of Maryland and Carnegie Mellon University, Facebook users are invited to take surveys conducted by these two partner universities to self-report COVID-19-related symptoms. The surveys may be used to generate new insights on how…
