Jacob Ritchie
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View article: Beyond the Artifact: Power as a Lens for Creativity Support Tools
Beyond the Artifact: Power as a Lens for Creativity Support Tools Open
Researchers who build creativity support tools (CSTs) define abstractions and software representations that align with user needs to give users the power to accomplish tasks. However, these specifications also structure and limit how users…
View article: Designing Immersive, Narrative-Based Interfaces to Guide Outdoor Learning
Designing Immersive, Narrative-Based Interfaces to Guide Outdoor Learning Open
Outdoor learning experiences, such as field trips, can improve children's science achievement and engagement, but these experiences are often difficult to deliver without extensive support. Narrative in educational experiences can provide …
View article: COVID-19 non-pharmaceutical interventions: data annotation for rapidly changing local policy information
COVID-19 non-pharmaceutical interventions: data annotation for rapidly changing local policy information Open
Understanding the scope, prevalence, and impact of the COVID-19 pandemic response will be a rich ground for research for many years. Key to the response to COVID-19 was the non-pharmaceutical intervention (NPI) measures, such as mask manda…
View article: COVID-19 Non-Pharmaceutical Interventions: Data Annotation for Rapidly Changing Local Policy Information
COVID-19 Non-Pharmaceutical Interventions: Data Annotation for Rapidly Changing Local Policy Information Open
Main Dataset Attributes (npi_data/*.xlsx) FIPS: FIPS of the county. Location name: Name of the county. NPI measure: Type of NPI measure. Start Date: Date the NPI was first started. End Date: Date the NPI was first lifted. Start Link: Sourc…
View article: COVID-19 Non-Pharmaceutical Interventions: Data Annotation for Rapidly Changing Local Policy Information
COVID-19 Non-Pharmaceutical Interventions: Data Annotation for Rapidly Changing Local Policy Information Open
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View article: COVID-19 Non-Pharmaceutical Interventions: Data Annotation for Rapidly Changing Local Policy Information
COVID-19 Non-Pharmaceutical Interventions: Data Annotation for Rapidly Changing Local Policy Information Open
Main Dataset Attributes (npi_data/*.xlsx) FIPS: FIPS of the county. Location name: Name of the county. NPI measure: Type of NPI measure. Start Date: Date the NPI was first started. End Date: Date the NPI was first lifted. Start Link: Sourc…
View article: Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report
Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report Open
Beginning in April 2020, we gathered partial county-level data on non-pharmaceutical interventions (NPIs) implemented in response to the COVID-19 pandemic in the United States, using both volunteer and paid crowdsourcing. In this report, w…
View article: The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control: the value and limitations of early models
The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control: the value and limitations of early models Open
Mathematical models of epidemics are important tools for predicting epidemic dynamics and evaluating interventions. Yet, because early models are built on limited information, it is unclear how long they will accurately capture epidemic dy…
View article: Data Comics for Reporting Controlled User Studies in Human-Computer Interaction
Data Comics for Reporting Controlled User Studies in Human-Computer Interaction Open
Inspired by data comics, this paper introduces a novel format for reporting controlled studies in the domain of human-computer interaction (HCI). While many studies in HCI follow similar steps in explaining hypotheses, laying out a study d…
View article: Addressing Community Health Needs through the Development of a Student-Led Community Health Fair
Addressing Community Health Needs through the Development of a Student-Led Community Health Fair Open
This article was migrated. The article was marked as recommended. Problem:Based on a specific community benefit analysis of Greenville, South Carolina, we identified the Dunean community with its increased prevalence of health inequities w…
View article: Analyzing Who and What Appears in a Decade of US Cable TV News
Analyzing Who and What Appears in a Decade of US Cable TV News Open
Cable TV news reaches millions of U.S. households each day, meaning that decisions about who appears on the news and what stories get covered can profoundly influence public opinion and discourse. We analyze a data set of nearly 24/7 video…
View article: The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control
The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control Open
Non-pharmaceutical interventions to combat COVID-19 transmission have worked to slow the spread of the epidemic but can have high socio-economic costs. It is critical we understand the efficacy of non-pharmaceutical interventions to choose…
View article: Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study Open
Background Mental illness affects a significant portion of the worldwide population. Online mental health forums can provide a supportive environment for those afflicted and also generate a large amount of data that can be mined to predict…
View article: Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study (Preprint)
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study (Preprint) Open
BACKGROUND Mental illness affects a significant portion of the worldwide population. Online mental health forums can provide a supportive environment for those afflicted and also generate a large amount of data that can be mined to predic…
View article: Common Fate for Animated Transitions in Visualization
Common Fate for Animated Transitions in Visualization Open
The Law of Common Fate from Gestalt psychology states that visual objects moving with the same velocity along parallel trajectories will be perceived by a human observer as grouped. However, the concept of common fate is much broader than …
View article: Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex
Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex Open
Magnetic resonance (MR) images of the brain are of immense clinical and research utility. At the atomic and subatomic levels, the sources of MR signals are well understood. However, at the macromolecular scale, we lack a comprehensive unde…
View article: SMASH: One-Shot Model Architecture Search through HyperNetworks
SMASH: One-Shot Model Architecture Search through HyperNetworks Open
Designing architectures for deep neural networks requires expert knowledge and substantial computation time. We propose a technique to accelerate architecture selection by learning an auxiliary HyperNet that generates the weights of a main…
View article: Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex
Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex Open
Magnetic resonance (MR) images of the brain are of immense clinical and research utility. At the atomic and subatomic levels, the sources of MR signals are well understood. However, we lack a comprehensive understanding of the macromolecul…
View article: FreezeOut: Accelerate Training by Progressively Freezing Layers
FreezeOut: Accelerate Training by Progressively Freezing Layers Open
The early layers of a deep neural net have the fewest parameters, but take up the most computation. In this extended abstract, we propose to only train the hidden layers for a set portion of the training run, freezing them out one-by-one a…
View article: Transcriptomic characterization of MRI contrast, focused on the T1-w/T2-w ratio in the cerebral cortex
Transcriptomic characterization of MRI contrast, focused on the T1-w/T2-w ratio in the cerebral cortex Open
Magnetic resonance (MR) images of the brain are of immense clinical and research utility. At the atomic and subatomic levels, the sources of MR signals are well understood. However, at the macromolecular scale, we lack a comprehensive unde…
View article: Transcriptomic characterization of MRI contrast, focused on the T1-w/T2-w ratio in the cerebral cortex
Transcriptomic characterization of MRI contrast, focused on the T1-w/T2-w ratio in the cerebral cortex Open
Magnetic resonance (MR) images of the brain are of immense clinical and research utility. At the atomic and subatomic levels, the sources of MR signals are well understood. However, at the macromolecular scale, we lack a comprehensive unde…
View article: Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex
Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex Open
Magnetic resonance (MR) images of the brain are of immense clinical and research utility. At the atomic and subatomic levels, the sources of MR signals are well understood. However, at the macromolecular scale, we lack a comprehensive unde…
View article: Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks Open
The increasingly photorealistic sample quality of generative image models suggests their feasibility in applications beyond image generation. We present the Neural Photo Editor, an interface that leverages the power of generative neural ne…
View article: Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks Open
When working with three-dimensional data, choice of representation is key. We explore voxel-based models, and present evidence for the viability of voxellated representations in applications including shape modeling and object classificati…