The University of Iowa Center for Global and Regional Environmental Research and College of Education teamed up to develop free eighth grade science curricula on land use and climate science, in response to Iowa’s grade level alignment of the middle school Next Generation Science Standards.

Primary author Dr. Ted Neal, clinical associate professor of science education, led a team of graduate and pre-service teaching students and CGRER scientists to develop the material. They grouped standards, resources and lesson material into six bundles, each designed to engage Iowa’s middle schoolers with local data and information on relevant topics like athletic concussions and agriculture.

These lessons are built on NGSS principles and put learning in the students’ hands with hands-on activities for groups and individuals. Kids will have ample opportunity to get curious, generate questions and lead themselves to answers.

This webinar (recorded Sept. 27, 2017) introduces how to connect other services as add-ons to projects on the Open Science Framework (OSF; https://osf.io). Connecting services to your OSF projects via add-ons enables you to pull together the different parts of your research efforts without having to switch away from tools and workflows you wish to continue using. The OSF is a free, open source web application built to help researchers manage their workflows. The OSF is part collaboration tool, part version control software, and part data archive. The OSF connects to popular tools researchers already use, like Dropbox, Box, Github and Mendeley, to streamline workflows and increase efficiency.

Lecture for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

In this final project for the course, students team to develop and test a prototype for an innovative computing device based on the Circuit Playground. Using the inputs and outputs available on the board, groups will create programs that allow for interesting and unique user interactions.

In this book, Sanjoy Mahajan shows us that the way to master complexity is through insight rather than precision. Precision can overwhelm us with information, whereas insight connects seemingly disparate pieces of information into a simple picture. Unlike computers, humans depend on insight. Based on the author’s fifteen years of teaching at MIT, Cambridge University, and Olin College, The Art of Insight in Science and Engineering shows us how to build insight and find understanding, giving readers tools to help them solve any problem in science and engineering. (Description courtesy of MIT Press.)

This course teaches simple reasoning techniques for complex phenomena: divide and conquer, dimensional analysis, extreme cases, continuity, scaling, successive approximation, balancing, cheap calculus, and symmetry. Applications are drawn from the physical and biological sciences, mathematics, and engineering. Examples include bird and machine flight, neuron biophysics, weather, prime numbers, and animal locomotion. Emphasis is on low-cost experiments to test ideas and on fostering curiosity about phenomena in the world.

The Integrated Conceptual Science Program Course 1 Integrated Physics and Chemistry is a three dimensional course based on the Conceptual Progression Model of the Next Generation Science Standards. It is designed to be used as part of a three course program that addresses all high school science performance expectations. Course 1 is designed for ninth grade students.
This resource includes the teacher materials, supporting documents, and short videos to support teachers in using the materials.
The Courses were designed using the Ambitious Science Teaching (AST) framework. It is strongly encouraged that before using these materials that you be familiar with AST. We suggest that you watch the AST Overview short video found here: https://datapuzzles.org/ambitious-science-teaching and explore this Google Slide deck that contains many resources designed to further your understanding of AST: https://docs.google.com/presentation/d/1WOUVmlm636_7i2l0GYa9JkX1TCK3NMdySfpxKN7IM7A/edit?usp=sharing

Modeling Our World with Mathematics Unit 2: Environmental Science Topic 1 - Air Quality

This book contains two parts, the first is designed to be used in an introductory programming course for students looking to learn Python, without having any prior experience with programming. Basic programming concepts are discussed, explained, and illustrated with a Python program. Ample programming questions are provided for practice. The second part of the book utilizes machine-learning concepts and statistics to accomplish data-driven resolutions. Python programs are provided to apply scientific computing to conclude statistically driven results.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Angiogenesis, the formation of new blood vessels, is a popular target of various therapies. Some therapies, like those used in tissue engineering, are designed to promote angiogenesis and new tissue growth, while other therapies, such as those designed to fight cancer, aim to suppress angiogenesis— a lifeline for tumor cells. Unfortunately, these therapies aren’t always effective. Now, a new mathematical model could help researchers understand what molecular levers to pull to effectively modulate angiogenesis. Trained on published experimental data, the model predicted the effects of activating two common targets of angiogenesis-based therapies: vascular endothelial growth factor, or VEGF, and fibroblast growth factor, or FGF. Computational experiments showed that the two factors modify both the ERK signaling pathway, which is linked to cell proliferation, and the Akt signaling pathway, which is associated with cell survival and migration..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Homework for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Our writing is based on three premises. First, life sciences students are motivated by and respond well to actual data related to real life sciences problems. Second, the ultimate goal of calculus in the life sciences primarily involves modeling living systems with difference and differential equations. Understanding the concepts of derivative and integral are crucial, but the ability to compute a large array of derivatives and integrals is of secondary importance. Third, the depth of calculus for life sciences students should be comparable to that of the traditional physics and engineering calculus course; else life sciences students will be short changed and their faculty will advise them to take the 'best' (engineering) course.

Digital Scholarship and Data Science Essentials for Library Professionals is an open and collaboratively curated training reference resource. It aims to make it easier for LIBER library professionals to gain a concise overview of the new technologies that underpin digital scholarship and data science practice in research libraries today, and find trusted training materials recommendations to start their professional learning journey.

This webinar will provide an overview of the MGnify API. MGnify offers an automated pipeline for the analysis and archiving of microbiome data to help determine the taxonomic diversity and functional & metabolic potential of environmental samples. Users can submit their own data for analysis or freely browse all of the analysed public datasets held within the repository.

The webinar will include how to utilise the API using a browser, where to find documentation, how to use filtering and pagination, available output formats, and scripting examples in Python.

Who is this course for?
This webinar is aimed at individuals who would like to learn more about using the MGnify API, however some familiarity with MGnify and programmatic access methods is recommended.

Outcomes
By the end of the webinar you will be able to:

Access the MGnify API
Find documentation for the MGnify API

Homework for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

In this activity, students pose several hypotheses for what will happen if you continue heating or supplying energy to the hot and cold planet models (Mercury, Mars, Venus, and Earth) and then test their hypotheses using a spreadsheet based radiation balance model. The activity supports investigation of a real world challenge, experimenting with life support conditions for Mars at an Arctic outpost. The interactive model runs are conducted using a Java applet. This resource includes student worksheets, assessment questions and a teacher's guide. This is Activity B in module 2, Modeling hot and cold planets, of the resource, Earth Climate Course: What Determines a Planet's Climate? The course aims to help students to develop an understanding of our environment as a system of human and natural processes that result in changes that occur over various space and time scales.

Expectations by funders for transparent and reproducible methods are on the rise. This session covers expectations for preregistration, data sharing, and open access results of three key funders of education research including the Institute of Education Sciences, the National Science Foundation, and Arnold Ventures. Presenters cover practical resources for meeting these requirements such as the Registry for Efficacy and Effectiveness Studies (REES), the Open Science Framework (OSF), and EdArXiv. Presenters: Jessaca Spybrook, Western Michigan University Bryan Cook, University of Virginia David Mellor, Center for Open Science

Homework for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

The lesson starts with a quick review of parameters, in the context of App Lab blocks that they students have seen recently. Students then look at examples of parameters within user-created functions in App Lab and create and call functions with parameters for themselves, using them to control multiple elements on a screen. Afterwards, students use for loops to iterate over an array, passing each element into a function. Last, students use what they have learned to create a star catching game.

This material introduces the AWS console interface, describes how to create an instance on AWS with the VMI provided and connect to that machine instance using the SSH protocol. Once connected, it requires the students to write a script to automate the tasks to create VCF files from two different sample genomes belonging to E.coli microorganisms by using the FASTA and FASTQ files in the input folder of the virtual machine. The same exercise can be applied if the VMI is installed on a local machine using virtualization software (e.g. Oracle VirtualBox). In this case, the Terminal program of the VMI can be used to do the exercise.