Qualitative Experiments for Social Sciences

Bridging big data and qualitative methods in the social sciences

With the rise of social media, a vast amount of new primary research material has become available to social scientists, but the sheer volume and variety of this make it difficult to access through the traditional approaches: close reading and nuanced interpretations of manual qualitative coding and analysis. This paper sets out to bridge the gap by developing semi-automated replacements for ma...

Population-Based Survey Experiments A HyBrid MEtHodology for tHE SociAl SciEncES

Approaches to scientific knowledge are a bit like rabid sports rivals; often they cannot say anything nice about their own team without simulta­ neously disparaging the other side. At some level, they know these intense rivalries would not exist if the other team were not a worthy contender, but the positive aspects of the other side are seldom acknowledged. likewise, empirical social scientist...

Citizen Science practices for Computational Social Sciences research: The conceptualization of Pop-Up Experiments

Under the name of Citizen Science, many innovative practices in which volunteers partner with scientist to pose and answer real-world questions are quickly growing worldwide. Citizen Science can furnish ready made solutions with the active role of citizens. However, this framework is still far from being well stablished to become a standard tool for Computational Social Sciences research. We pr...

in Humanities , Social Sciences , and Natural Sciences

Advanced Experiments for Learning Qualitative Compartment Models

In this paper, the learning of qualitative twocompartment metabolic models is studied under the conditions of different types and numbers of hidden variables. For each condition, all the experiments, each of which takes one of the subsets of the complete qualitative states as training data, are tested one by one. In order to conduct the experiments more efficiently, a backtracking algorithm wit...