The Role of Computational Social Science in Policymaking - Session 6
Expert panel explores computational social science's role in policymaking, discussing micro data, agent-based models, empirical validation, and applications in fisheries, energy, and digital twins to enhance decision-making processes.
Statistics and Modelling for Policy in a COVID-Zero Setting
Innovative statistical and modelling methods for COVID-19 risk assessment and intervention impact in zero-transmission settings, supporting policy decisions in Australia and Western Pacific.
International Statistical Approaches to COVID-19
Experts discuss COVID-19 modeling in France, challenges in decision support, and findings as societies reopen, offering insights into statistical approaches for pandemic response.
Methodological Challenges and Approaches in COVID-19 Epidemiology
Explores challenges in COVID-19 epidemiology, covering transmission studies, clinical course analysis, and vaccine effectiveness evaluation, offering insights into research methodologies and findings.
Frank H. Knight and Risk, Uncertainty and Profit - Prof. Ross Emmett
Explore Knight's influential work on risk, uncertainty, and price theory, examining its impact on economics and imperfect competition. Gain insights into contractual relations, innovation, and economic dynamism.
A Probabilistic Approach for Situation Awareness and Forecasting of COVID-19 in Norway
Explore a probabilistic model for regional COVID-19 transmission using mobile data and epidemiological time series, with insights on its practical application in Norway's pandemic management.
The Psychology of Thinking - Exploring Human Reasoning and Decision-Making
Explore human reasoning with psychologist Richard Nisbett, uncovering insights to improve decision-making and critical thinking in various aspects of life and society.
Is Reality a Controlled Hallucination? - Exploring Consciousness and Perception
Explore consciousness as a controlled hallucination through innovative theories and experiments. Delve into perception, self-awareness, and the nature of reality with neuroscientist Anil Seth.
Embedded Linux Quality Assurance: How to Not Lie with Statistics
Explore statistical quality assurance for embedded Linux systems, covering best practices, automated testing, and data evaluation using R. Learn to avoid common pitfalls in interpreting results.
Election Simulation - Why Are Voters Unhappy? - Part 1
Explore voter dissatisfaction through probability simulations, analyzing how voting decisions impact election outcomes and overall satisfaction levels.
Iterative Stochastic Numerical Methods for Statistical Sampling
Explore stochastic algorithms for Bayesian inference, blending molecular dynamics with data analytics. Learn innovative approaches to merge physical laws and data science in engineering applications.
Hypertension Burden and Interventions - Public Health Approach by Prabhdeep Kaur
Explore public health strategies for managing hypertension, including burden assessment and effective interventions. Learn about population-level approaches to prevent and control high blood pressure.
Prediction of Survival Analysis for Cancer Patients
Explore survival analysis prediction for cancer patients using machine learning techniques. Learn to harness computational methods for improved patient outcome forecasting and healthcare decision-making.
Kalman Filter for Beginners - Estimation and Prediction Process & MATLAB Example
Explore Kalman Filter estimation and prediction processes, system modeling, and MATLAB examples. Learn practical applications for dynamic attitude estimation in aerospace engineering.
Random Restrictions and Fourier Concentration - Part 2
Explore advanced concepts in Fourier analysis and random restrictions, focusing on their applications in theoretical computer science and mathematical analysis.
Random Restrictions and Fourier Concentration - Part 1
Explore random restrictions and Fourier concentration in analysis and theoretical computer science with MIT researcher Esty Kelman.
Capitalism and Democracy - Part 1
Explore capitalism and democracy through digital humanities analytics, focusing on text analysis, probability, and natural language processing to extract meaning from digital sources.
Discovering Dynamics and Parameters of Nonlinear Systems from Partial Observations
Explore techniques for uncovering nonlinear system dynamics and parameters using incomplete data, enhancing understanding of complex systems and their behavior.
Differentially Private Sampling from Distributions - Google Algorithms Seminar
Explore private sampling from distributions, examining dataset size requirements for various distribution families and comparing private sampling to non-private learning in different parameter regimes.
Differentially Private Multi-party Data Release for Linear Regression
Explore differential privacy techniques for secure multi-party data sharing in linear regression, enhancing privacy protection in collaborative machine learning environments.
Statistical Foundations of Common Knowledge
Explore statistical foundations of common knowledge in game theory with Eduardo Faingold's insightful seminar presentation.