The goal of the Data4Kids project is to help educators prepare children to be better data users, stewards, and consumers. With support from the South Big Data Hub, the Urban Institute and its partners have created a set of tools and resources to help teach kids in primary and secondary schools about data, data science, and data visualization in a virtual environment.

These "Data Stories" are designed to assist educators in supporting students’ data science learning, and can be allow educators to freely used across a variety of grades. Each story is a starter kit for educators at different levels–grades 3-5 (Band 1); grades 6-8 (Band 2); or grades 9-12 (Band 3).

Each Data Story includes an Instructor's Guide, Data (available in Microsoft Excel, CSV, and Google Sheets formats), a Data Dictionary to describe the data values in each story (available in Microsoft Word and Google Doc formats), and Teaching Slides (available in Microsoft PowerPoint and Google Slides formats).

This course explores visualization methodologies to conceive and represent systems and data, e.g., financial, media, economic, political, etc., with a particular focus on climate change data in this version of the course. Topics include basic methods for research, cleaning, and analysis of datasets, and creative methods of data presentation and storytelling. The course considers the emotional, aesthetic, ethical, and practical effects of different presentation methods as well as how to develop metrics for assessing impact. Coursework includes readings, visualization exercises, and a final project.

Data talks are short 5-10 minute classroom discussions to help students develop data literacy. This pedagogical strategy is similar in structure to a number talk, but instead of numbers students are shown a data visual and asked what interests them.

Word Count: 6664

Included H5P activities: 11

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

The home of the U.S. Government’s open data. Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more. Topics include Agriculture, Business, Climate, Education, Energy, Ecosystems, Manufacturing and more.

Background. Attribution to the original contributor upon reuse of published data is important both as a reward for data creators and to document the provenance of research findings. Previous studies have found that papers with publicly available datasets receive a higher number of citations than similar studies without available data. However, few previous analyses have had the statistical power to control for the many variables known to predict citation rate, which has led to uncertain estimates of the “citation benefit”. Furthermore, little is known about patterns in data reuse over time and across datasets. Method and Results. Here, we look at citation rates while controlling for many known citation predictors and investigate the variability of data reuse. In a multivariate regression on 10,555 studies that created gene expression microarray data, we found that studies that made data available in a public repository received 9% (95% confidence interval: 5% to 13%) more citations than similar studies for which the data was not made available. Date of publication, journal impact factor, open access status, number of authors, first and last author publication history, corresponding author country, institution citation history, and study topic were included as covariates. The citation benefit varied with date of dataset deposition: a citation benefit was most clear for papers published in 2004 and 2005, at about 30%. Authors published most papers using their own datasets within two years of their first publication on the dataset, whereas data reuse papers published by third-party investigators continued to accumulate for at least six years. To study patterns of data reuse directly, we compiled 9,724 instances of third party data reuse via mention of GEO or ArrayExpress accession numbers in the full text of papers. The level of third-party data use was high: for 100 datasets deposited in year 0, we estimated that 40 papers in PubMed reused a dataset by year 2, 100 by year 4, and more than 150 data reuse papers had been published by year 5. Data reuse was distributed across a broad base of datasets: a very conservative estimate found that 20% of the datasets deposited between 2003 and 2007 had been reused at least once by third parties. Conclusion. After accounting for other factors affecting citation rate, we find a robust citation benefit from open data, although a smaller one than previously reported. We conclude there is a direct effect of third-party data reuse that persists for years beyond the time when researchers have published most of the papers reusing their own data. Other factors that may also contribute to the citation benefit are considered. We further conclude that, at least for gene expression microarray data, a substantial fraction of archived datasets are reused, and that the intensity of dataset reuse has been steadily increasing since 2003.

Simulate the original experiment that proved that electrons can behave as waves. Watch electrons diffract off a crystal of atoms, interfering with themselves to create peaks and troughs of probability.

A pro-Cass satire, predicting the Democratic nominee's victory over Whig Zachary Taylor and Free Soil candidate Martin Van Buren. After the "fair," or election, Lewis Cass appears at the window of the White House, at upper left. Below him Taylor, pursued by bloodhounds, tries unsuccessfully to climb up the building's downspout, which is labeled "Whig Platform." The bloodhounds recall those used by Taylor against the Indians in the Second Seminole War. Taylor says here, "When Cuba is Annexed I hope these Foreigners will no longer be imported to annoy the 'Natives' in this way." (The dogs used in Florida were Cuban.) Cass quips, "Ah, Genl. up a spout eh? I am glad that you have found a Platform at last." Taylor was criticized during the campaign for failing to declare a platform. The bloodhounds sniff at his discarded sword. Further right a dead goose lies in the road, and further on a fox, Martin Van Buren, runs toward his burrow at the edge of the forest of "Free Teritory." Van Buren says, "I shall run in safe enough." At the far left Cass ally William A. Marcy stands with his hands in his pockets. He urges on the bloodhounds with, "Help your self to Fox & Geese, but don't 'Worry' the old Genl.' only ascertain his whereabouts.'" Marcy is identified by the "50 cents" trouser patch on his seat. (See "Executive Marcy and the Bambers," no. 1838-5.) The goose was used throughout the 1844 and 1848 campaigns as a symbol of incumbent President James K. Polk.|Lith. & pubd. by H.R. Robinson, 31 Park Row N. York. (Adjoining Lovjoy's Hotel, & Directly Opposite the Park Fountain.)|Signed with initials: W.J.C.|Title appears as it is written on the item.|Weitenkampf, p. 96.|Forms part of: American cartoon print filing series (Library of Congress)|Published in: American political prints, 1766-1876 / Bernard F. Reilly. Boston : G.K. Hall, 1991, entry 1848-35 .

This course explores natural and electric lighting that integrates occupant comfort, energy efficiency and daylight availability in an architectural context. Students are asked to evaluate daylighting in real space and simulations, and also high dynamic range photography and physical model building.

Students explore the many different ways that engineers provide natural lighting to interior spaces. They analyze various methods of daylighting by constructing model houses from foam core board and simulating the sun with a desk lamp. Teams design a daylighting system for their model houses based on their observations and calculations of the optimal use of available sunlight to their structure.

A rubric in student language used by middle school students to assess decision making. It can be modified to be used by peers to provide feedback or by teachers to monitor progress. Traits: Finding Relevant Information, Creating Options, Weighing Options, Predicting Consequences, and Communicating.

In an increasingly data-driven world, data and its use aren’t always all it’s cracked up to be. This course aims to address the critical lack of any or appropriate data in many areas where complex decisions need to be made.

For instance, how can you predict volcano activity when no eruptions have been recorded over a long period of time? Or how can you predict how many people will be resistant to antibiotics in a country where there is no available data at national level? Or how about estimating the time needed to evacuate people in flood risk areas?

In situations like these, expert opinions are needed to address complex decision-making problems. This course, aimed at researchers and professionals from any academic background, will show you how expert opinion can be used for uncertainty quantification in a rigorous manner.

Various techniques are used in practice. They vary from the informal and undocumented opinion of one expert to a fully documented and formal elicitation of a panel of experts, whose uncertainty assessments can be aggregated to provide support for complex decision making.

In this course you will be introduced to state-of-the-art expert judgment methods, particularly the Classical Model (CM) or Cooke’s method, which is arguably the most rigorous method for performing Structured Expert Judgment.

CM, developed at TU Delft by Roger Cooke, has been successfully applied for over 30 years in areas as diverse as climate change, disaster management, epidemiology, public and global health, ecology, aeronautics/aerospace, nuclear safety, environment and ecology, engineering and many others.

This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course examines games and applications in areas such as dynamic resource allocation, finance and queueing networks.

This 10 minute video builds connections between topics that are important in climate science such as: the impact of variations in Earth's orbit and wobble on it's axis on climate; how the cores being sampled fit into the bigger climate picture; connecting greenhouse gases to melting ice and sea level changes; the sensitivity of the ice melt / sea level rise relationship; and computer model simulations showing connections between ice sheets and sea level.
The companion website provides resources, an extensive list of activities, teacher guides, posters, and more.

In this sequence of lessons, students explore the deer mouse and its fur color and how it has evolved over time in different habitats. Students engage in the practices of science using a series of interactive computer simulations to create model(s) of evolutionary change across levels of biological organization, from molecules and cells to organisms and populations. NOTE: This sequence is designed specifically for use on touchscreen devices.

The Virtual Lab is an online simulation of a chemistry lab. It is designed to help students link chemical computations with authentic laboratory chemistry. The lab allows students to select from hundreds of standard reagents (aqueous) and manipulate them in a manner resembling a real lab.

Simulations:

• Default Virtual Lab Stockroom
• Stoichiometry
• Glucose Dilution Problem
• Acid Dilution Problem
• Cola and Sucrose Concentration Problem
• Making Stock Solutions from Solids
• Identifying the Unknown Metal (Metals Density Problem)
• Identifying an Unknown Liquid from its Density
• Alcohol Density Problem
• Gravimetric Determination of Arsenic
• Determining Stoichiometric Coefficients
• Stoichiometry and Solution Preparation Problem
• Textbook Style Limiting Reagents Problems
• Textbook Style Limiting Reagents Problem II
• Predicting DNA Concentration
• Unknown Concentration of DNA Solution Problem
• Thermochemistry
• Camping Problem I
• Camping Problem II
• ATP Reaction (Thermochemistry and Bonding)
• Determining the Heat of Reaction in Aqueous Solution
• Coffee Problem
• Measuring the heat capacity of an engine coolant
• Measuring the heat capacity of an engine coolant II (Advanced version)
• Camping Problem III
• Heats of Reaction - Hess' Law
• Equilibrium
• Cobalt Chloride and LeChatlier’s Principle
• DNA Binding Problem
• Acid-Base Chemistry
• Strong Acid and Base Problems
• Determination of the pH Scale by the Method of Successive Dilutions
• Weak Acid and Base Problems
• Determining the pKa and Concentration Ratio of a Protein in Solution
• Unknown Acid and Base Problem
• Creating a Buffer Solution
• DNA - Dye Binding: Equilibrium and Buffer Solutions
• Determining the pKa and Concentration Ratio of a Protein in Solution
• Standardization of NaOH with a KHP solution: Acid Base Titration
• Solubility
• Determining the Solubility Product
• Temperature and the Solubility of Salts
• Determining the solubility of copper chloride at different temperatures
• Oxidation/Reduction and Electrochemistry
• Exploring Oxidation-Reduction Reactions
• Analytical Chemistry/Lab Techniques
• Standardization of NaOH with a KHP solution: Acid Base Titration
• Unknown Silver Chloride

A real-world example of the concepts behind the AD-AS model is the inflation that the United States experienced in the late 1960s. In this video, we break down some of the events going on at the time and use the AD-AS model to see if our predictions using this model match what really happened. Created by Sal Khan.

The goal of this activity is to demystify the science behind Punnett Squares and explore data and statistical representations in genetics and heredity. Begin by breeding two parent mice and observe the ratios in the pie chart as more offspring are bred in each litter. Compare the ratios between different pairs of parents and identify how they are different or similar. Finally, use the simulation controls to show gametes and reveal how each offspring obtained its genotype from its parents.