Career Development Network

Welcome to the CDN!

Start and advance your career in data science by joining our professional development community.

The Academic Data Science Alliance's Career Development Network (CDN) is an interdisciplinary community of students, practitioners, educators, and administrators who are advancing best practices in the quickly evolving world of data science.

Why join the CDN?
  • CONNECTIONS: Network with others who share your passion for data science.
  • RESOURCES: Share and learn from others to stay up-to-date with rapid developments in methods, tools, and pedagogy.
  • MENTORING: Meet experienced mentors who can share insights and advice about jobs and career advancement relationships.
  • LEADERSHIP: Learn about opportunities to join and lead initiatives to advance best practices in data science.

CDN Member Directory

Meet some of our members and to connect by browsing through our CDN Member Directory.

Interested in becoming a CDN Member?

Membership is FREE

Featured Events

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Academic Data Science Alliance

GAI in the Classroom

Wednesday, Feb. 28, 2024 from 3 - 4 PM EST | 12 - 1 PM PST

How are generative AI tools impacting the way that educators are thinking about curricula and assessing student competencies?

Register

FAQs

Does it cost money to join?

No, the CDN is free to join.

Who should join the CDN?

Members of the CDN are primarily early-career practitioners and educators who are employed by academic and academic-adjacent institutions. CDN members participate in scholarly research, teaching, training, and/or outreach.

Is the CDN only for people in academia?

No. We welcome folks who specialize in a data-intensive field in any industry. However, our programming and resources tend to have an academic focus.

"Data Scientist" isn't in my job title. Can I still join?

Yes! The CDN welcomes anyone who works within a data-intensive field or wants to advance data science.

I'm an undergraduate student. Should I join the CDN?

The CDN is mostly tailored to graduate students, pre-tenure professors, and folks with some professional experience. However, undergrads with a passion for building data science communities are welcome to join. Undergrads are also highly encouraged to join our #student slack channel to discover and share resources and learn about opportunities that are exclusively geared toward students.

Can I join the CDN if I am not a member of ADSA?

Yes. Anyone can join the CDN, although we highly encourage everyone to become a member. Membership fees for students and postdocs are discounted. You can learn more about becoming a member of ADSA here.

Will I automatically become a member of the Academic Data Science Alliance (ADSA) by joining the CDN?

No, you must sign up separately and pay a fee to become a member of ADSA. Membership fees for students and postdocs are discounted. You can learn more about becoming a member of ADSA here.

What's expected of CDN members?

CDN members are encouraged to share resources, in addition to their technical expertise and personal experiences on Slack, our social channels, and in ADSA’s community blog. Members also have the opportunity to mentor and shape the focus of CDN programs by taking on leadership roles like joining the CDN Steering Committee.

How can I support the CDN without joining?

Some ways to support the CDN without joining include serving as a panelist in one of our career panels, serving as a mentor, and collaborating on research and tools. You can also share job opportunities and events here.

What if I want to leave the CDN?

No problem. You can leave the CDN at any time by emailing info@academicdatascience.org with the subject line "Opt out of CDN" or "Opt out of CDN Directory." We will remove you within 5 business days.

Didn't see the answer to your question?

Send us an email at info@academicdatascience.org or post your question in our Slack.

CDN Steering Committee 2022 – 2024

Elie Alhajjar, Ph.D.

Elie Alhajjar, Ph.D.

Army Cyber Institute

Senior Research Scientist

Karen Chen, Ph.D.

Karen Chen, Ph.D.

University of Maryland Baltimore County

Assistant Professor

Diya Das, Ph.D.

Diya Das, Ph.D.

Genentech

Data Planning, Access & Sharing Lead

Maryam Vareth, Ph.D.

Maryam Vareth, Ph.D.

University of California, Berkeley

Innovate For Health Director and Research Lead in Health & Life