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- All Subjects: Education
- Creators: Fischman, Gustavo
Participatory Budgeting (PB) can create changes within individuals and between them and their community. PB processes allow people to determine how to spend a portion of a particular budget (in the case of School PB, a portion of the school budget). These processes help address the underrepresentation of youth in the realm of civics.
I spent time with the steering committee and teacher coordinator of school PB in Carson Junior High to explore the impact of school PB on students’ knowledge, skills, attitudes and practices in relation to civic engagement. In the study I used quantitative and qualitative components. The participants were unique in that they all had prior experience in civic engagement programs in Carson Junior High that were organized by the teacher coordinator of school PB.
The main findings suggest that the participants reported a significant amount of learning in civic knowledge. In comparison, their overall perceived growth in attitudes, practices and skills were much lower. School PB helped the participants in the steering committee to grow in different ways than their other civic engagement programs by providing them with knowledge about budgets, their school’s mechanisms and other students within their school. They also became more familiar with the democratic process of voting and more comfortable with public speaking and presenting.
Recommendations for future research on this process include compiling quantitative and qualitative data from a larger sample consisting of students who had prior civic engagement experience and students who didn’t, and students with different ethnicities from different grades. Another recommendation for future research is to conduct a longitudinal study following school PB participants to high school and beyond to explore long-term impacts.
Adverse Drug Reaction (ADR) identification. Such methods employ a step of drug search followed by classification of the associated text as consisting an ADR or not. Although this method works efficiently for ADR classifications, if ADR evidence is present in users posts over time, drug mentions fail to capture such ADRs. It also fails to record additional user information which may provide an opportunity to perform an in-depth analysis for lifestyle habits and possible reasons for any medical problems.
Pre-market clinical trials for drugs generally do not include pregnant women, and so their effects on pregnancy outcomes are not discovered early. This thesis presents a thorough, alternative strategy for assessing the safety profiles of drugs during pregnancy by utilizing user timelines from social media. I explore the use of a variety of state-of-the-art social media mining techniques, including rule-based and machine learning techniques, to identify pregnant women, monitor their drug usage patterns, categorize their birth outcomes, and attempt to discover associations between drugs and bad birth outcomes.
The technique used models user timelines as longitudinal patient networks, which provide us with a variety of key information about pregnancy, drug usage, and post-
birth reactions. I evaluate the distinct parts of the pipeline separately, validating the usefulness of each step. The approach to use user timelines in this fashion has produced very encouraging results, and can be employed for a range of other important tasks where users/patients are required to be followed over time to derive population-based measures.