Social Sciences

Voice of Specially Abled People - Business Case for Investment into MMR vaccination by Developing Nations

MMR vaccine helps reduce birth defects, similar to Polio vaccine where most of the world is now polio-free because of serious efforts on Polio Vaccination, globally. However MMR vaccination is yet to reach to millions of people, especially in the developing and poor countries for several reasons. This project will collect data for selected countries in terms of Govt policy, budget allocation, vaccination levels for MMR, adoption by communities for MMR vaccine, opportunity to reduce population of children born with defects due to virus such as Rubella. This research will have reference data...

Berkeley School of Law - What's Important to the Supreme Court

The Supreme Court of the United States has essentially unconstrained discretion to set its own docket. In order to earn review, four (out of nine) Justices simply have to decide that a case is sufficiently "important." But what makes a case important enough to merit the Supreme Court's attention? This project analyzes the corpus of the Supreme Court's decisions, and, more specifically, its descriptions of its decision to grant review, in order to discern what counts as "important" when it comes to Supreme Court review.

View project submission...

ESPM - Addressing Structural Inequality in U.S. Agricultural Higher Education: An Assessment of Pedagogical Practices and Food Systems Coursework at Land-grant Institutions

In the last decade, many U.S. “land-grant” agricultural universities (including UC Berkeley) have turned a reflexive lens on the fact that their institutions marginalize certain community members. These schools have begun to ask how inequities within their food and agriculture education perpetuate food systems injustices in the U.S. more broadly. This research project critically evaluates these nascent institutional efforts by examining how agriculture schools use pedagogical practices to improve equity and inclusion outcomes. Coursework descriptions offer a key insight into the...

DaanMatch - A decision-making tool/method to facilitate the correlation of NGO’s and Corporation’s datasets for an efficient fund/aid allocation

DaanMatch is a project to address social inequalities in fund distribution in India. Recent data shows that around 60% of organizing funding is allocated to projects in urban areas and that the most benefited are a few multinationals NGOs. But around 70% of NGOs registered in India are community-driven and operate in rural areas, which means a big amount of data and points of action that could spread social impact widely throughout the country.

How can we use data science techniques to transform the information that is currently distributed across heterogeneous data silos into a Pan...

United Ways of California

We would like to be able to build a mechanism that can collect data from photos of various documents and use that data to automatically fill out applications for COVID-19 relief and ongoing safety-net programs. At the present time there is no universal portal that can be used to apply for Unemployment Insurance, CalFresh, and Medi-Cal at the same time, for instance. Each of these must be filled out separately. And if the person applying does not have a Social Security Number, then. they are ineligible for all three. But if they have children, those children are eligible for CalFresh, Medi-...

Goodly Labs - Research Ready Government Archives

The Research Ready project seeks two students to help improve and maintain archives of government activity that researchers, journalists, and the public can easily query. The project team has already scraped the web for document files while retaining document metadata; identified and extracted meaningful data objects within the documents; linked those objects to external databases; prepared all this compiled textual data for computational analysis in R and Python; and partnered with the Social Science Research Council to host their newly formed database so that the public and other...

City of Paterson - Mapping Eviction Trends in the City of Paterson

With unemployment rate at its historic highs and moratoriums on eviction expiring across the United States, tens of thousands of renters are expected to face homelessness. Evictions have a devastating impact on families, communities and the health of cities, and could further exacerbate problems of homelessness, crime and poverty. The City of Paterson wants to develop a dashboard that would map and visualize eviction trends in the City’s neighbourhoods using data scraped from Twitter by identifying different categories of hashtags related to eviction. The City aims to achieve two...

Girl Effect - Using NLU to derive evaluation results from qualitative in-product feedback

Girl Effect builds products for girls in developing markets. We work in Rwanda, India, Ethiopia, South Africa and Tanzania. Our product portfolio contains magazines, television shows, music videos, websites, chatbots and social media channels, all designed to drive uptake of knowledge and change in attitude around key subject areas defined in girl effect’s theory of change.

We try to make products which put our users at the front and centre of the experience. In our digital products, this means allowing girls to share their feedback and guide their own user journeys, rather than be...

Group Dynamics on Reddit

I downloaded 10 years of Reddit data (metadata and content). I am looking to clean the data and run some statistical models to examine what predicts group commitment (i.e., commitment to subreddit). The team would help me: 1) efficiently clean the massive dataset, 2) fit statistical models to test theoretically-derived predictions, and 3) visualize the results. Expertise in NLP is a plus because we have the actual word content.