Data Science Workshops
Creators: name: HSI National STEM Resource Hub
name: Serrano, Elba
name: Morales, Gabriela
name: Peterman, Jarod
name: Pallarez, Jessica
Publisher: name: Zenodo
Year: 2024

description: The national STEM Resource Hub is preserving its website and compiling resources for future use and reference. This entry consists of Data Science Workshops and contains the following information.

 

SUMMER 2021 STEM EDUCATION PROFESSIONAL SKILLS VIRTUAL WORKSHOPS

The workshops are crafted to enhance faculty skills in program evaluation and to develop disciplinary expertise needed to add content to STEM undergraduate courses in data science, scientific ethics, supercomputing, neuroscience, plant biology, and genetics.

 

2023-2024 SEMBRADOR – DATA SCIENCE WORKSHOPS

The workshops are crafted to enhance faculty skills in specific elements of the data science skillset. We are offering short, half-day Sembrador workshops that build skills in relevant developments in academic data and information sciences.

The virtual workshops are limited to 20-30 participants to allow attendees from across the nation to collaborate and network in a setting that promotes and encourages personal interactions.

Leaping Forward: Advanced Practices in Generative AI

Dr. Kevin Yee, University of Central Florida – Lead Organizer

Educators are catching up to the promise of AI, but it’s not always clear how to implement these tools in our individual disciplines. This workshop is for faculty who understand how to use AI but are seeking creative ideas for actual deployment in their classes. Participants will be able to preview dozens of examples before the workshop, then participate interactively during the workshop to adjust their own assignments for an AI-infused world. We’ll also tackle the thorny problem of teaching fundamentals even when the software can do everything. Finally, we will put AI to work making faculty life easier with writing syllabi, lesson plans, and other documents.

Neuroscience Workshop: New Tools for Neuroscience Pedagogy and Research

Dr. Kristen Frenzel, Associate Director for Education and Outreach for the Center for Advanced Motor BioEngineering and Research (CAMBER), Emory University – Lead Organizer

We are a group of motor systems neuroscientists whose research interests are focused on understanding how the nervous system controls complex movements. To that end, we have developed an innovative new technology (“Myomatrix arrays”) for precisely measuring the signals that the brain uses to control muscles. Myomatrix arrays can be used for both original research projects and to teach students about basic nervous system function.  Our NIH-funded center (CAMBER) supports the FREE distribution of the Myomatrix arrays to interested faculty.  In this workshop, we will describe the uses of these arrays for educational and research purposes and connect interested faculty to CAMBER, with the goal of developing collaborations that support faculty from the HSI-STEM community.

Artificial Intelligence: Its Uses and Misuses in Class

Dr. Kevin Yee, University of Central Florida – Lead Organizer

Faculty across the United States have had a mixed reaction to Artificial Intelligence (AI) tools that are rapidly proliferating. Some wonder how to preserve the sanctity and rigor of their assignments, when AI tools might make cheating easy for students. Others hunger for ideas on how to incorporate AI tools into their assignments or teaching, under the assumption that AI is here to stay, including in the future workplaces of our students. In this interactive presentation we will address both points of view, offering separate toolkits for faculty to take either approach, or to forge a blended one.

 

FALL 2022 SEMBRADOR – DATA SCIENCE WORKSHOPS





WORKSHOP DESCRIPTIONS







Sembrador Workshop- Data Science Track: Using Basic Command Lines in Undergraduate Genomics Classes

Dr. Donovan Bailey (NMSU)

Improve undergraduate genomics understanding by teaching current genome scale research using Linux-based software systems. In this course we will introduce the importance of Linux command line approaches and aid you in a variety of topics of command line to give your students a competitive edge while completing undergraduate programs.

Sembrador Workshop- Data Science Jupyter Books

Dr. Peter Rose Director, Structural Bioinformatics Lab San Diego Super Computer (UCSD)

Dr. Marty Kandes (UCSD) & Nicole Wolter (UCSD)

This workshop will describe how to customize python environments, how to run Jupyter Notebooks on local and high-performance cluster environments, how to scale up data analysis using Jupyter Notebooks on supercomputers and how to get allocation on the Expanse supercomputer at the San Diego Supercomputer Center at UCSD.

 

DATA SCIENCE TRAINING AND COLLABORATION

This interactive workshop introduced participants to modern tools and methods that are used to teach data science, as well as to considerations in planning and incorporating data science ideas into an existing curriculum. Participants learned how to discuss the ethical and societal implications of data science with students. Finally, the workshop presented an opportunity to network and learn from other instructors who are thinking about the integration of data science into their teaching.

 

SUMMER 2021 STEM EDUCATION PROFESSIONAL SKILLS VIRTUAL WORKSHOPS

The workshops are crafted to enhance faculty skills in program evaluation and to develop disciplinary expertise needed to add content to STEM undergraduate courses in data science, scientific ethics, supercomputing, neuroscience, plant biology, and genetics.

Program Evaluation for Grants

Rachel Boren (NMSU)

Acquire insight about the most critical components of program evaluation that you need to know as you develop your grant applications. Take your knowledge up a notch by applying these components to your projects as we work through the topics and take the time to develop your own logic models, craft clear research objectives, and more!

Including Ethics in Research Experiences and Science Courses

Gillian Hue (Emory Center for Ethics)

Ethics education at this time is important. The historical misuse of scientific authority has paved the way for disproportionate poor outcomes in marginalized communities in practically every arena. An ethics perspective recognizes the deeply social nature of scientific inquiry and encourages critical analysis. Students can ask questions about power and participation in the sciences, who sets research priorities, and how distinct cultural priorities may allow different lenses on science and flourishing. Students can learn to examine multiple perspectives on the interpretation of scientific data, and question how scientific knowledge and technologies may be used to help or harm. Such skills allow students to explore the chains of causality and responsibility leading to (for example) a public health crisis like the one we are currently navigating; and the politicized and nuanced responses to said crises. An ethics view allows for novel conceptualizations of accountability and justice via the strengths, weaknesses, and inequities built into a society and its scientific endeavors. We will discuss how scientific ethics relates to the multiple concurrent crises unfolding in the USA and world and how critical pedagogical approaches can yield insight as a basis for transformative action.

Neuroscience Gateway and Electroencephalography Data Analysis for the Classroom

UCSD Team: Amit Mujamdar, Arnaud Delorme, Subhashini Sivaganam, Kenneth Yoshimoto

This hands-on workshop will describe the Neuroscience Gateway (NSG) including the neuroscience modeling and data processing software it provides on supercomputing resources. The second part of the workshop will introduce electroencephalography (EEG) as an electrophysiological monitoring method to record electrical activity of the brain and show how to collect and process EEG data using the EEGLAB software in undergraduate courses.

Data Science Training and Collaboration

Ariel Rokem (University of Washington) & eScience/West Big Data Innovation Hub Team

Data science is helping to make sense of the world across many different research disciplines and in different sectors of the economy. At the same time, because it involves a rapidly evolving set of skills and tools, it is challenging for instructors to equip students with the knowledge that they need to become effective data scientists. Furthermore, use of data science can carry significant societal and ethical implications, which need to be discussed in the contexts in which data science is taught. This interactive workshop will introduce the participants to modern tools and methods that are used to teach data science, as well as to considerations in planning and incorporating data science ideas into an existing curriculum. Participants will learn how to discuss the ethical and societal implications of data science with students. Finally, the workshop will present an opportunity to network and learn from other instructors who are thinking about the integration of data science into their teaching.

Integrating Plant Model Systems into the Science Curriculum

Adan Colon-Carmona (UMass Boston), Alejandra Huerta (NCState), Rubén Rellán-Álvarez (NCState)

This hands-on workshop will focus on modern genomics and genetic approaches to studying biological processes in plants. The workshop will draw on examples from Arabidopsis, rice and maize that can easily be incorporated into the classroom or for outreach activities.

Designing Competitive Research Questions for Grant Proposals

Rupu Gupta (Knowlogy) & Jena Barchas (Knology)

Gain insight into what makes a good research question. Using tools such as a gap and SWOT analysis, we will develop the tools necessary to identify your grant’s core research topic and then hone a set of clear and grant-appropriate research questions.

 

DATA SCIENCE: HSI TRAINING AND COLLABORATION WORKSHOP, SEPTEMBER 16TH – 17TH, 2019

Data Science is becoming increasingly important for students and researchers in STEM fields. The HSI STEM Hub in collaboration with the West Big Data Innovation Hub is offering a two-day workshop for STEM faculty at Hispanic-Serving Institutions of higher education in the Western Region of the United States (Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, Wyoming, Alaska, California, Hawaii, Oregon, and Washington) who would like to incorporate data science into their curriculum.

The two-day workshop, held at the University of Washington eScience Institute in Seattle during September 16th and 17th, will provide an overview of data science methods, as well as tools and approaches for incorporating data science in the STEM curriculum.

 

2019 DATA SCIENCE INSTRUCTORS (ESCIENCE INSTITUTE)

Jose Hernandez: Data Science, UW eScience

Kate Hertweck: Bioinformatics training manager, Fred Hutch Cancer Research Center 

Ariel Rokem: Data Science, UW eScience

Amanda Tan: Data Science, UW eScience

Anissa Tanweer: Research scientist, Human Centered Data Science, UW eScience




 

PROCESS ORIENTED GUIDED INQUIRY LEARNING (POGIL) WORKSHOP

Process Oriented Guided Inquiry Learning (POGIL) is a research-informed, student-centered instructional approach that simultaneously develops discipline content mastery and key process skills (skills that are valued by employers.) POGIL takes place in a structured environment in which students work cooperatively in self-managed teams on carefully crafted guided inquiry activities. This inquiry-based environment has been shown to energize students and provide instructors with continuous feedback about what their students understand and misunderstand. Students quickly recognize that logical thinking and teamwork are as important as getting the correct answer, and this underscores the concept that learning is not a solitary task of memorization, but an interactive process of refining one’s understanding and developing skills that are important in both the classwork and in the workplace.