The Berkeley School of Information is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions.
The Master of Information and Data Science (MIDS) is an online degree preparing data science professionals to solve real-world problems. The 5th Year MIDS program is a streamlined path to a MIDS degree for Cal undergraduates.
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The increasing use of machine learning (ML) algorithms in clinical settings raises concerns about bias in ML models. Bias can arise at any step of ML creation, including data handling, model development, and performance evaluation. Potential biases in the ML model can be minimized by implementing these steps correctly. This report focuses on performance evaluation and discusses model fitness, as…
We introduce, motivate, and exemplify a proposed theoretical construct guiding the design and facilitation of collaborative geometry activities, conceptually generative perspectival complementarity (CGPC). Participants in CGPC activities learn content by negotiating their respective perceptions of situated features they manipulate to accomplish task objectives. We first ground our framework in…
Balance Board Math (BBM) is a new balance-based interface for math instruction. BBM integrates disparate work on embodied cognition and on sensory regulation to offer learners integrated opportunities to both self-regulate through movement and to use their sense of balance as a resource for conceptual understanding. This approach imagines beyond common views that self-initiated background…
We present an exploratory design study on visualizing laughter sounds for personal reflection. We experimented with a variety of graphic design elements to visualize temporal, spatial, and social aspects of laughter sounds. In order to experience their own laughter being visualized, our participants collected audio recordings of everyday conversations with their loved ones. We extracted laughter…
In this paper, an investigation is conducted in order to understand impacts of Particle Swarm Optimization (PSO) parameters on the convergence and the quality of the inverse kinematics solutions provided by the IK-PSO (inverse kinematics solver using PSO) – a heuristic inverse kinematics solver algorithm. Over a large panel of parameters investigations, a statistical proof of convergence is…
As access barriers to in-person abortion care increase due to legal restrictions and COVID-19–related disruptions, individuals may be turning to the internet for information and services on out-of-clinic medication abortions. Google searches allow us to explore timely population-level interest in this topic and assess its implications. We examined the extent to which people searched for out-…
Online harm is a prevalent issue in adolescents’ online lives. Restorative justice teaches us to focus on those who have been harmed, ask what their needs are, and engage in the offending party and community members to collectively address the harm. In this research, we conducted interviews and design activities with harmed adolescents to understand their needs to address online harm. They also…
Introduction
The infection fatality rate (IFR) of COVID-19 has been carefully measured and analysed in high-income countries, whereas there has been no systematic analysis of age-specific seroprevalence or IFR for developing countries.
Methods
We systematically reviewed the literature to identify all COVID-19 serology studies in developing countries that were conducted using representative…
The COVID-19 pandemic has devastated many low- and middle-income countries, causing widespread food insecurity and a sharp decline in living standards. In response to this crisis, governments and humanitarian organizations worldwide have distributed social assistance to more than 1.5 billion people. Targeting is a central challenge in administering these programmes: it remains a difficult task to…
Some forms of movement, such as rocking, are common means of sensory self-regulation yet are discouraged in classroom contexts. We analyze the ableist underpinnings of this discouragement, and ask instead: could intrinsically attractive sensory activities such as rocking instead be solicited to serve content learning? Our design-based research project, Balance Board Math, fosters sensory–…
The Internet of Things (IoT) has influenced technology in numerous ways. What started as a network of physical devices communicating over the Internet grew tremendously sophisticated by incorporating billions of devices and defining specific IoT domains. IoT has found its subdomains in many fields such as medicine, healthcare, robotics, etc., and several domains are yet to incorporate IoT. One of…
It is often said that quantum technologies are poised to change the world as we know it, but cutting through the hype, what will quantum technologies actually mean for countries and their citizens? In Law and Policy for the Quantum Age, Chris Jay Hoofnagle and Simson L. Garfinkel explain the genesis of quantum information science (QIS) and the resulting quantum technologies that are most exciting…
Any nation’s growth depends on the trend of the price of fuel. The fuel price drifts have both direct and indirect impacts on a nation’s economy. Nation’s growth will be hampered due to the higher level of inflation prevailing in the oil industry. This paper proposed a method of analyzing Gasoline and Diesel Price Drifts based on Self-organizing Maps and Bayesian regularized neural networks. The…
In home decoration, an artwork with a particular combination of colors can convey a positive mood that improves psychological health. In our work, we leverage emotion to color mapping techniques and Generative Adversarial Networks (GANs) to generate artwork that brings a room into a more positive mood. We create a unique workflow to extract the color scheme from a room photo, convert it to an…
In the aftermath of stock market crash due to COVID-19, not all sectors recovered in the same way. Recently, a stock price model is proposed by Mahata et al. (2021) that describes V- and L-shaped recovery of the stocks and indices, but fails to simulate the U- and Swoosh-shaped recovery that arises due to sharp fall, continuation at the low price and followed by quick recovery, slow recovery…
For a small portion of U.S. schoolchildren and their teachers, going to school online was the norm even before the COVID-19 pandemic forced a mass shift to remote learning. Finding conventional schooling ill-suited to their needs, this diverse group turned to virtual schools in an effort to distance themselves from harms they associate with the traditional school experience, balance their…
Public and private organizations alike compute statistics from personal data. These statistics are used for a wide array of purposes, such as informing federal, state, and local policymaking, distributing humanitarian aid during crisis situations, and informing the public about social, economic, and health trends in the population. However, statistical uses of personal data can harm individual…