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In this episode, groups of citizen scientists use mobile technology to help save lives. Volunteers across North America measure precipitation, and their data is used by emergency managers to issue warnings during extreme weather conditions. In India, a phone app helps officials alert communities about killer heat waves. Citizen scientists also help collect data about Alzheimer's disease. They hope their data will aid the research process and lead to a cure. Part of "The Crowd and the Cloud" series.
(Source: DCMP)
Researchers around the world can compare notes on one of the most powerful tools available for imaging human brain function, the fMRI, thanks to support from the National Science Foundation (NSF). The project, called OpenfMRI, allows scientists to share their data easily and securely in a standardized format. The advantages are clear to Stanford neuroscientist Vinod Menon, who researches brain development and is using OpenfMRI to validate his research. Menon says as more studies are added to OpenfMRI, it becomes a powerful tool for diagnosing and treating neurological disorders. Part of the National Science Foundation Series “Science Nation.”
Rigoberto Delgado, a health economist at the University of Texas, wants to help health-care professionals target their limited resources. His team is using geospatial mapping science and predictive analytics to forecast areas of highest risk for illness. The researchers want to figure out where to send the mobile health clinics to help prevent potential outbreaks. Part of the "Science Nation" series.
In this episode, citizen scientists are using a wide array of technology applications to collect data on environmental concerns. A group of individuals are using an app to count birds, which generates data on a changing climate. Surfers, using smart tech, track ocean acidification and coastal temperatures. Other projects include collecting data on the migration of monarch butterflies and surveying horseshoe crab populations. In Uganda, World Bank economists and local partners generate data for sustainable development. Part of "The Crowd and the Cloud" series.
Statistical data is seen as a central feature of much psychological research, but students need to understand the important methodological processes underpinning the production of such data. Viewers will examine various factors that can influence the reliability and validity of statistical data. Some emphasis is given to sampling techniques, causation and correlation, and experimental design.
Weather forecasting has changed from a day-to-day guess based on local observation to a scientific method dependent on global data collected accurately, in detail, and at set times. Traces the progression of forecasting from data-collection methods to regional centers for computer plotting and analysis to prediction of weather for the next five to seven days. Includes why forecasting is important.
In this episode, groups of citizen scientists use apps and maps to help researchers gather data about medical conditions. Sensors on asthma inhalers generate real-time maps of environmental dangers to help patients and physicians in Louisville, Kentucky. In West Oakland, California, citizens confront air pollution and rising asthma rates by collecting traffic data. Citizen scientists are fighting mosquito-borne diseases with apps and crowd-sourced data in Barcelona, Houston, and New Orleans. Part of "The Crowd and the Cloud" series.
In this episode, citizens and scientists partner to gather data on many environmental concerns around the world. A group of citizen scientists track air and water pollution at fracking sites in Wyoming and 5 other states. They use simple but science-based techniques developed by the “Bucket Brigade.” Volunteers from Trout Unlimited monitor water quality regularly, generating baseline data that will prove invaluable in the event of future pollution events. Community members connected with professional researchers explore Flint’s drinking water crisis and help other cities test their water quality. In China, citizens use government data and a unique mobile app to report environmental crimes. Part of "The Crowd and the Cloud" series.
Uses practical examples to help students understand and use the components of the scientific method. Concepts and terminology: hypothesis, experiment, measuring, data, analysis, and conclusion.
Demonstrates how to observe and record scientific observations. Concepts and terminology: observation, data, recording, data table, tools, safety, measuring, and graphs.
Host Trace Dominguez discusses the current trends in the number of hurricanes and their strength. He examines weather data collected since 1880 coupled with new models created by NASA. According to the data and weather models, hurricanes are becoming more intense.
A hurricane hunter is a pilot that flies an airplane into the middle of a hurricane. They gather data on temperature, humidity, and air pressure. This data is critical for forecasting the intensity and path of hurricanes. Part of the "NOAA Ocean Today" series.
The scientific method is the foundation of work for scientists. Explains the scientific method in detail serving as the basis for your science fair project. The process of creating a science fair project along with helpful hints for success is described. Other terminology includes: hypothesis, experiment, data, conclusion, data table, and graphing.
Welcome to the decade of Rock 'n Roll, drive-ins and McCarthyism. An America flush with cash and terrified of the "Red Menace" defines the inventions of the 1950s. Featured inventions include: the transistor radio, Sputnik, the flight data recorder, the Breath-a-Lyzer, and the hovercraft.
Discover how scientists compare the reflected red, blue, and green light from planets in the solar system to identify distant planets. Carolyn Crow, an astronomer, describes how the amount of green, blue, and red light reflected by planets can be plotted. A diagram compares the color data of the planets and shows that Earth is easily distinguishable by its blue color.
Scientists at NASA’s Jet Propulsion Laboratory detail how to check the results once the experiment is completed. In this segment, they tell students to look for trends and draw conclusions from their data. They also encourage students to examine their data for possible influences from factors not part of the experiment. Part of the “How to Do a Science Fair Project” series.
University of Chicago scientists are collaborating with researchers at the Argonne National Laboratory to build a wide-ranging urban sensing project in Chicago known as the Array of Things (AoT). A network of 500 computer nodes gather data on various livability factors from all over Chicago. These factors include climate, weather, air quality, noise levels, and traffic. The data is gathered in real time and helps individuals understand the complexities of city dynamics. Part of the “Science Nation” series.
With support from the National Science Foundation, device engineer Jason Heikenfeld of the University of Cincinnati and a multidisciplinary team are developing new technologies to take sweat biosensors to the next level. Their wearable patches allow tiny amounts of sweat to be captured and analyzed quickly and accurately with strong correlation to blood data. The researchers envision a day when data from continuous sweat monitoring will be an essential tool in health care, like blood tests. Part of the "Science Nation" series.
In the Pacific Northwest, people are stripping moss for the horticultural trade at such an alarming rate that it's now illegal to harvest it. Ecologist Nalini Nadkarni knows that moss is a key component to the eco-system of the region, which makes it important to study. But this globe-trotting scientist at The Evergreen State College needed a lot of help recording research data from some folks who have much more time than she does. Where better to find potential research assistants with lots of time on their hands than the nearby medium security Cedar Creek Corrections Center? With support from the National Science Foundation, Nadkarni’s idea has been so successful that now the prisoners are starting bee keeping and composting programs, in addition to growing and recording data about moss.
Tornadoes claim hundreds of lives and cause billions of dollars in damages in the United States. With support from the National Science Foundation, computer scientist Amy McGovern at the University of Oklahoma is working to find answers to key questions about tornado formation. While video from storm chasers and data from Doppler radar can help meteorologists understand some aspects of tornadoes, McGovern uses supercomputers to find patterns in very large datasets. She also works with weather experts to help her sort out the information in the simulations. McGovern’s ultimate goal is to come up with reliable tornado forecasting system.
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Resources to teach younger students about animals
A collection containing 58 resources, curated by DIAGRAM Center
