tracks
-
Track in Cognitive Science
The cognitive science track enables students to combine the degree program in Data Science and Engineering with a specialization in the cognitive sciences. The track program is unique in the landscape of undergraduate cognitive science programs in Israel due to its computational orientation and its emphasis on the links between cognitive science and artificial intelligence (AI). The track further offers an opportunity to conduct a research project under the supervision of a faculty member. Continue Reading Track in Cognitive Science
-
Data Science
In an era where information is created at a dizzying pace and changes constantly and decisions require the creation of in-depth analysis, the ability to make sense of large quantities of data is a necessary and sought-after power. A master’s degree in Data Science offers tools and knowledge that will enable you to face the great challenges of the 21st century in all areas of life: medicine, social media, finance, urban planning, smart cities and more. Continue Reading Data Science
-
Data Science and Engineering
The Data Science and Engineering program will train you to make sense of the vast amounts of information created in the modern world. Through our curriculum, you will learn to develop methods for automatic understanding of text, build internet search engines, develop data analysis methods to identify business opportunities, develop techniques for analyzing information encoded in DNA sequences and even predict the outbreak and spread of epidemics by means of social networks. Continue Reading Data Science and Engineering
-
seminars
-
Learning analytics that facilitate meaningful learning experiences
Abstract: The focus of education is shifting from outcomes to processes. How do learners make sense of new challenges, and how can such sense-making be identified and supported? In this talk, I will demonstrate how the use of learning analytics and digital trace analysis, coupled with innovative design and strong theoretical foundations, allows us to… Continue Reading Learning analytics that facilitate meaningful learning experiences
-
Decision-Making & Reasoning: Behavior, Modeling, and Machine Learning – Jab Talk
In the first part of the talk, I will present my work on decision-making and reasoning, usingexperiments paired with computational models to test competing psychological explanations.I will illustrate this line of research with a project examining how people combine privateevidence with social information when making risky decisions, and how modeling can helpreveal the mechanisms underlying… Continue Reading Decision-Making & Reasoning: Behavior, Modeling, and Machine Learning – Jab Talk
-
The Computational and Neural Basis of Cognitive Dynamics and Diversity
Abstract: Humans adapt their behavior across multiple timescales: from rapid adjustments to changing contexts to lifelong tendencies in how they approach tasks. This variation across time and individuals poses a challenge for identifying the cognitive strategies people use and the neural processes that support them. My research combines computational modeling and neuroimaging to uncover the strategies… Continue Reading The Computational and Neural Basis of Cognitive Dynamics and Diversity
-
Omens, Luck, and Choice: Tales of How Neural Signals Can Uniquely Inform Decision-Making Science
ABSTRACT How do people perceive luck, anticipate outcomes, and make choices even when no “right” answer exists? And how can brain signals help us understand these processes beyond behavior? In this talk, I will share two lines of work that uncover hidden mechanisms underlying decision-making quirks, taking advantage of neural signals. The first line, developed with… Continue Reading Omens, Luck, and Choice: Tales of How Neural Signals Can Uniquely Inform Decision-Making Science
-
Using Large Language Models to Predict Human Choice from Textual Description
Abstract: Predicting human decision-making under risk and uncertainty is a long-standing challenge in cognitive science, economics, and AI. While prior research has focused on numerically described lotteries, real-world decisions often rely on textual descriptions. This study conducts the first large-scale exploration of human decision-making in such tasks using a large dataset of one-shot binary choices… Continue Reading Using Large Language Models to Predict Human Choice from Textual Description
