EDSIN: Environmental Data Science Inclusion Network

NCWIT is a non-profit community that convenes, equips, and unites change leader organizations to increase the meaningful participation of all women — at the intersections of race, ethnicity, class, age, sexual orientation, and disability status — in the influential field of computing, particularly in terms of innovation and development.

Before NCWIT was chartered in 2004 by the National Science Foundation, programs focusing on women and computing existed mostly in isolation — without the benefit of shared best practices, effective resources, communication with others, or national reach. Today, these programs are part of the NCWIT community, creating a far greater impact than if institutions acted alone.

The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field.  WiDS started as a conference at Stanford in November 2015. Now, WiDS includes a global conference, with 150+ regional events worldwide; a datathon, encouraging participants to hone their skills; and a podcast, featuring leaders in the field talking about their work, and their journeys.

The Inclusive Ecology section was established in the summer of 2016 in order to provide resources and support for all ecologists, regardless of physical/mental ability, gender identity, ethnicity, socioeconomic status, culture, nationality, family status, politics, religion, level of education, or age. During its establishment, concerns were raised that the Ecological Society of America (ESA) and its sections already strive to be inclusive, and that there are already several programs in place to address issues of diversity. Emerging patterns in our national socio-political climate have rendered establishment of this section especially timely. In the spirit of our mission, we are coordinating efforts to engage people from myriad perspectives in collegial conversation with a common goal of advancing ecological science.

Three researchers and early National Ecological Observatory Network (NEON) users talk about how NEON will enable new discoveries and collaborations in the field of ecology and beyond.

Credit: NSF/Stephen Voss

NSF INCLUDES is a comprehensive initiative to enhance U.S. leadership in science and engineering discovery and innovation by proactively seeking and effectively developing science, technology, engineering and mathematics (STEM) talent from all sectors and groups in our society. By facilitating partnerships, communication and cooperation, NSF aims to build on and scale up what works in broadening participation programs to reach underserved populations nationwide.

The Carpentries project comprises Software Carpentry and Data Carpentry, communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers. The Carpentries subscribes to a shared Code of Conduct. 

SACNAS is an inclusive organization dedicated to fostering the success of Chicanos/Hispanics and Native Americans, from college students to professionals, in attaining advanced degrees, careers, and positions of leadership in STEM.

The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research. We accomplish this mission through our educational programs and events as well as through fiscal sponsorship of open source scientific computing projects. We aim to increase collaboration and communication within the data science and scientific computing community.

Girls Who Code was founded with a single mission: to close the gender gap in technology.

Data for Black Lives is a group of activists, organizers, and mathematicians committed to the mission of using data science to create concrete and measurable change in the lives of Black people.

Data for Democracy is a worldwide community of passionate volunteers working together to promote trust and understanding in data and technology.

We are an international mentorship group with a focus on helping more women become active participants and leaders in the Python open-source community. Our mission is to promote, educate and advance a diverse Python community through outreach, education, conferences, events and social gatherings.

PyLadies also aims to provide a friendly support network for women and a bridge to the larger Python world. Anyone with an interest in Python is encouraged to participate!

WiMLDS is a 501(c)(3) organization. Its mission is to support and promote women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science. They create opportunities for members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by women and gender minority individuals working in data science or machine learning, as well as hosting technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender identity or technical background.

The Earth Lab Earth Analytics Education Initiative at the University of Colorado -- Boulder is building an innovative program that provides core in-market demand technical skills at the intersection of Earth and data science to undergraduate, graduate and professional students. The program includes formal courses, workshops, career development events with industry partners, paid undergraduate internships, an open online learning portal with global reach, and a professional certificate in Earth data analytics, one of the first of its kind in the country. We are committed to expanding the reach of Earth data science education for students across varying academic, professional, socio-economic and geographic dimensions to ensure broad accessibility to novel curriculum. All courses are offered through both online and traditional options, allowing students to participate in-person, online in real-time, or asynchronously by reviewing materials at their own pace. 

Project EDDIE is beginning a new round of teaching material development to help connect large-scale sensor data into undergraduate classrooms. Join the community of authors creating materials that engage students with authentic data to improve quantitative reasoning and develop big-data skills.

The Academic Data Science Alliance (ADSA) was launched in May 2019 to provide an independent national resource network for academic data science leaders, practitioners, and educators to connect and exchange ideas, and to advance the uptake of data science best practices in higher education. ADSA seeks to support university researchers in their efforts to learn, use, and teach data-intensive tools and responsible applications. Our ultimate goal is to bring about the institutional changes needed to integrate data science into university research and training. By building networks of academic data science practitioners (including faculty, students, staff, and administrators), ADSA enables better sharing of knowledge, ideas, and lessons learned.

The AGU Ethics and Equity Center provides resources to educate, promote and ensure responsible scientific conduct and establish tools, practices, and data for organizations to foster a positive work climate in science. They can help you meet your ethics goals, whether you are an individual scientist looking for resources or professional ethics development, a leader looking to implement best practices at your organization, or an institution wanting to update your code of conduct. The Center is led by AGU.

The Center for Scientific Collaboration and Community Engagement (CSCCE) is a research and training center to support and study the emerging field of scientific community engagement.

We are a community for the exchange of ideas and resources supporting biological and environmental data science education, grounded in practices of universal design for learning and inclusive pedagogy. As part of our commitment to accessible, affordable student-driven education that connects learners to a larger world outside of their classrooms, and inspires them to be transformative; we promote the creation and use of Open Educational Resources (openly licensed learning materials), and the incorporation of Open Pedagogy and Open Science into our teaching practices.