Although people have become increasingly reliant on social media for information, misinformation, especially medical misinformation, runs rampant. Companies like Facebook and Twitter have been given discretion on how they maintain their platforms, but the effect is less than desirable. Under their structures, engagement-driven information takes priority over factuality, contributing to a pandemic of misinformation. Despite this influence, social media platforms face no penalties for how users are affected. This is because Section 230 of the Communications Decency Act (CDA) protects interactive computer services like social media platforms from liability for misinformation created by users. During the COVID-19 pandemic, these issues were highlighted when false social media information hurt coordination between government and citizens and increased personal health risks. To protect general health, Section 230 needs to be amended to exempt no-liability protection from user-generated health misinformation, without precautions or user consent. Compliance with this law would require interactive computer services to label health related information for users and review information directly contradicting scientific consensus as compiled by governmental agencies. By exempting no-liability in medical misinformation, social media platforms and other interactive computer services would face incentives to limit the impact of cognitive biases and the spread of misinformation that harms.

Wide field of view microscopy that can resolve 3D information at high speed and spatial resolution is highly desirable for studying the behaviour of freely moving model organisms. However, it is challenging to design an optical instrument that optimises all these properties simultaneously. Existing techniques typically require the acquisition of sequential image snapshots to observe large areas or measure 3D information, thus compromising on speed and throughput. Here, we present 3D-RAPID, a computational microscope based on a synchronized array of 54 cameras that can capture high-speed 3D topographic videos over an area of 135 cm2, achieving up to 230 frames per second at spatiotemporal throughputs exceeding 5 gigapixels per second. 3D-RAPID employs a 3D reconstruction algorithm that, for each synchronized snapshot, fuses all 54 images into a composite that includes a co-registered 3D height map. The self-supervised 3D reconstruction algorithm trains a neural network to map raw photometric images to 3D topography using stereo overlap redundancy and ray-propagation physics as the only supervision mechanism. The resulting reconstruction process is thus robust to generalization errors and scales to arbitrarily long videos from arbitrarily sized camera arrays. We demonstrate the broad applicability of 3D-RAPID with collections of several freely behaving organisms, including ants, fruit flies, and zebrafish larvae.

Increasing representation of people with disabilities in science and engineering will require systemic changes to the culture around support and accommodations. Equitable interview practices can help foster such changes. We, an interdisciplinary group of disabled and nondisabled early-career scientists who care deeply about making science more accessible to all, present a framework of suggestions based on Universal Design principles for improving the accessibility and equitability of interviews for people with disabilities and other underrepresented groups. We discuss potential challenges that may arise when implementing these suggestions and provide questions to guide discussions about addressing them.