A5066493067- Genetics, Bioinformatics, and Biomedical Research
- Species Distribution and Climate Change
- Conferences and Exhibitions Management
- Advances in Oncology and Radiotherapy
- Opinion Dynamics and Social Influence
- Computational and Text Analysis Methods
- Crime Patterns and Interventions
- Complex Network Analysis Techniques
- Biomedical and Engineering Education
- FinTech, Crowdfunding, Digital Finance
- Misinformation and Its Impacts
- Health Sciences Research and Education
- COVID-19 epidemiological studies
- Cybercrime and Law Enforcement Studies
- Delphi Technique in Research
- Online Learning and Analytics
- Insect and Arachnid Ecology and Behavior
- Management Theory and Practice
- Information and Cyber Security
- Big Data and Business Intelligence
- Theoretical and Computational Physics
- Behavioral Health and Interventions
- Data Quality and Management
- Social Media in Health Education
- Economic Growth and Development
Northeastern University
2016-2021
University of Chicago
2014-2021
Universidad del Noreste
2014-2020
University of Illinois Chicago
2016
Social life increasingly occurs in digital environments and continues to be mediated by systems. Big data represents the being generated digitization of social life, which we break down into three domains: traces, digitalized life. We argue that there is enormous potential using big study a variety phenomena remain difficult observe. However, are some recurring vulnerabilities should addressed. also outline role institutions must play clarifying ethical rules road. Finally, conclude pointing...
Research at the intersection of machine learning and social sciences has provided critical new insights into behavior. At same time, a variety issues have been identified with models used to analyze data. These range from technical problems data features constructed, problematic modeling assumptions, limited interpretability, models' contributions bias inequality. Computational researchers sought out solutions these problems. The primary contribution present work is argue that there limit...
Experimental research in traditional laboratories comes at a significant logistic and financial cost while drawing data from demographically narrow populations. The growth of online methods has resulted effective means for social psychologists to collect large-scale survey-based cost-effective timely manner. However, the same advancement not occurred who rely on experimentation as their primary method collection. aim this article is provide an overview one laboratory conducting experiments,...
COVID-19 fundamentally changed the world in a matter of months. To understand how it was impacting life United States, we fielded non-probability survey all 50 states concerning people's attitudes, beliefs, and behaviors, designed to be representative at state level. Here, evaluate generalizability this study by assessing representativeness convergent validity our estimates. First, sample comparing baseline estimates auditing size weights use reduce bias. We find is diverse most are below...
Abstract Many types of crime are difficult to study because they hard operationalize, hidden from the public, or both. With communication increasingly moving online domains, recent work has begun examine whether domain contains traces such hard-to-observe crimes. This explores linguistic contours crimes through a rigorous mixed-methods approach that combines interviews and computational text analysis. Using human trafficking in illicit massage businesses as proof-of-concept, we show how this...
Machine learning methods can be used to accurately predict core characteristics about people such as their gender, age, race, or political orientation. However, prediction models tend not generalize, offer little explanation for particular corpora, produce weak theory, and suffer from latent biases. In this study, we present an alternative approach demographic inference combining sociological theories of gender with machine create high-dimensional measures rather than sex. We measurement...
Volunteer Science is an online platform enabling anyone to participate in social science research. The goal of build a thriving community research participants and researchers for Massively Open Online Social Experiments (“MOOSEs”). architecture has been built be open researchers, transparent participants, facilitate the levels concurrency needed large scale experiments. Since then, 14 experiments 12 survey-based interventions have developed deployed, with subjects largely being recruited...
New information technologies are changing the way science is done. Programs like Zooniverse, Fold.It, and SciStarter demonstrate power of recruiting online volunteers as participants contributors to research. Platforms Project Implicit Volunteer Science confirm that a wide range social scientific research can be conducted with in laboratories. This demonstration will enable attendees CSCW 2016 chance interact system by participating experiments, browsing experiment creation platform, discuss...
In this workshop we will host presentations from researchers performing online experiments and spend a half day helping attendees create using the Volunteer Science platform. Current approaches to science use new information technologies collect processes data engage citizen scientists across globe. Programs like Zooniverse, Fold.It, SciStarter demonstrate power of recruiting volunteers as participants contributors research. Platforms Project Implicit confirm that wide range social...
Currently, the de facto representational choice for networks is graphs which capture pairwise relationships between entities. This dyadic approach fails to adequate array of group that are more than sum their parts and prevalent in real-world situations. For example, collaborative teams, wireless broadcast, political coalitions all contain unique dynamics need be captured. In this paper, we use simplicial complexes model these supra-dyadic networks. We argue a number problems within social...
Experiments in organizational research come at significant logistic and financial cost while drawing data from demographically narrow populations. These limits hamper robust play a central role the replication crisis. As crisis has emerged, scholars have been developing new methods for conducting online which resulted capacities to conduct studies with larger more diverse subject pools fraction of cost. advances promise reduce recruiting subjects, make materials sharing easy, thereby making...
The increasing relevance of Internet-based markets requires a sustained investigation into the relationship between design and user behavior. This research begins within sociology quantification to investigate impacts basic decisions on behavior individual success widely used crowdfunding website. study looks at one common feature, publishing recipients' sex, probability receiving funding. Following in gender, these effects are defined along individual, behavioral, structural dimensions....