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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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Explore REACT-1 study's insights on SARS-CoV-2 spread in England, including variant tracking and community-based surveillance for informed policymaking and situational awareness.
Explore data-driven modeling of COVID-19 in India, examining intervention timing, estimating unreported deaths, and developing a framework for pandemic resilience through mathematical analysis.
Insights into Wales' COVID-19 response: challenges of rapid implementation, decision-making with uncertain science, and system-wide efforts in diagnostics, surveillance, and control measures.
Explore the statistical challenges and political implications of measuring COVID-19's global impact, including methodologies for calculating excess mortality and their consequences for international statistics.
Exploring the risks of text mining in historical analysis and advocating for a hybrid approach that combines data science with traditional historical methods.
Exploring global land struggles, from rent strikes to political movements, and their impact on property rights. Examines historical land reforms, international actors, and implications for climate change governance.
Explore digital twin technology for fleet modeling in this interactive workshop, connecting researchers with stakeholders to solve real-world problems.
Interactive workshop exploring spatial inequalities through energy simulation, connecting researchers with stakeholders to address real-world challenges in energy distribution and access.
Explore computer vision applications in real-world problem-solving through an interactive workshop from the Alan Turing Institute's Research in Action series.
Explore interactive tools for designing low-traffic neighborhoods and learn about their impact on urban mobility and community well-being.
Explore international AI collaboration and data governance with insights from the Global Partnership on AI event, featuring keynote speaker Chris Philp MP on fostering cooperation in AI development.
Experts discuss foundation models like GPT-3, exploring their strengths, limitations, and societal impact. Topics include knowledge representation, scaling, data choices, sustainability, and ethical concerns.
Exploring AI innovations in early disease detection, discussing challenges, opportunities, and future prospects for AI-driven health technologies across various medical fields.
Guidance on choosing a fulfilling PhD, developing resilience, and navigating challenges in scientific research. Insights from experts on setting realistic goals and building a support system.
Explore the hidden workforce behind AI technology, examining ethical concerns and labor practices in data labeling and crowdsourcing platforms for AI development.
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