Projects and Collaborations

[more projects coming soon]

2018-2020. Understanding Misinformation on Mobile Instant Messengers (MIMs) in Developing Countries. PI: Dr. Matthew Baum. Funders: Bill & Melinda Gates Foundation, Omidyar Network. We conducted interviews, surveys and survey experiments in Nigeria, India, Brazil, Pakistan and Myanmar to understand 1) the prevalence of mis- and disinformation on mobile instant messengers (MIM) like WhatsApp, (2) how users of MIM are sharing news-type content on these platforms and (3) to test ways of debunking mis- and disinformation on these platforms. Data analysis is currently ongoing, results will be published in Summer 2020.

2018-2020. Harvard Kennedy School Misinformation Review. Funders: Ford Foundation, Knight Foundation. The HKS Misinformation Review is a new format of peer-reviewed, scholarly publication. Content is produced and “fast-reviewed” by misinformation scientists and scholars, released under open access, and geared towards emphasizing real-world implications. All content is targeted towards a specialized audience of researchers, journalists, fact-checkers, educators, policy makers, and other practitioners working in the information, media, and platform landscape. We review and publish high quality, interdisciplinary research that examines misinformation from different perspectives, from its prevalence and impact to the effectiveness of possible interventions.

2014-2018. UCLA Center for Knowledge Infrastructures (CKI). PI: Dr. Christine L. Borgman. Funder: Alfred P. Sloan Foundation. During a three-year project titled If Data Sharing is the Answer, What is the Question?, we investigated the work and epistemic practices of four distributed scientific collaborations, exploring methods of data collection and management, innovations in scaling and workflows, and multidisciplinary approaches to complex problems. For my doctoral research, I examined the impact of open science practices on the distribution and organization of scientific work, with a focus on biomedical open data and software practices.

2015 – 2018. PartLab. The UCLA Institute for Society and Genetic. PIs: Christopher Kelty, Aaron Panofsky. Postdoctoral Fellow: Joan Donovan. Participation, as a concept and as a practice, has been studied empirically in a surprising number of domains. PartLab is born from the latest wave of participatory enthusiasm–from Free Software and crowdsourcing to Occupy and the Arab spring–but it takes a grander view, and aims at a more ambitious understanding of the concept and its manifestations. We investigated how white supremacists participate in an online forum to define “racial” identities in lights of DNA testing technologies. We conducted an empirical analysis of hundreds of threads and posts in order to capture the ways in which white supremacists understand and use genetic testing to support or discredit “white” identities.

2014-2016. UCLA POIH Database Project. Co-founders: Brittany Paris, Morgan Currie and Jennifer Pierre. We examined how information and open data about police-officer involved homicides (POIH) are organized, shared and interpreted by institutions and communities in the area of Los Angeles County. We analyzed public online databases and found several discrepancies and gaps in how the information about these homicides was reported. We then co-organized a hackathon event at UCLA with local communities. With the support of local activists and community members, we used community-curated databases and social media content to fill gaps in existing government and local databases pertaining to POI homicides.