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DISC Membership

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DISC Membership and Affiliation

On behalf of the Staff at the Data Institute for Societal Challenges (DISC), we thank you for your interest in becoming a member of our center. We offer separate membership tiers for Faculty/Post-doctoral Scholars/Staff and Students at the University of Oklahoma. 

We also offer the opportunity to be only listed in our Data Science Directory at OU. If you are interested in being a part of our Data Science Community at OU, please follow this link.

Faculty/Staff/Postdoctoral Scholar Membership

 

1. Why should I join? 

DISC provides a variety of benefits to faculty/staff/postdoctoral scholars who are interested in joining. As an active member, you will get the opportunity to interact with an active community interested in data science. Below is a list of benefits that will be available to you. 

Benefits of a Faculty/Staff/Postdoctoral Scholar Membership

  • Grant development services 

  • Access to the professional grant writing staff 

  • Access to technical consultants 

  • Support in developing and interpreting preliminary results 

  • Advice and support on large collaborative grant proposals 

  • Eligible for internal seed funding 

  • Potential cost-share contributions (subject to procedural guidelines)

  • Letters of support  

  • Dissemination supports including promotion of research on the website, newsletters, and social media

  • Mentorship opportunities for junior faculty 

Note: Additional benefits will be added throughout the year.

2. Are there any expectations?

Yes, depending on the level of commitment you choose on our form, we encourage you to be an active member and participate in a number of the following activities during the calendar year. Some of those activities may already be part of your responsibilities and can be counted towards your DISC membership. We are always open to suggestions for additional activities.

Expectations for Faculty/Staff/Postdoctoral Scholar Membership

  • Membership in Data Science communities of practice 

  • Participating in project ideation and team-building workshops 

  • Developing courses within your department, interdisciplinary capstones, or other types of curricula
  • Competing for pilot research awards
  • Attending or leading trainings  

  • Mentoring other faculty 

  • Proposing and hosting speakers  

  • Organizing, presenting, or attending seminars 

  • Reviewing DISC proposals 

  • Being a speaker at DISC workshops, seminars, and other related events.  

  • Being a reviewer for the seed funding program  

  • Promoting the DISC Center to other faculty, staff, and students 

  • Planning events such as workshops, symposia, etc.  

3. How can I join?

It is very simple to join! Please complete the form below and you will become a faculty/staff/postdoc member!

For any additional questions, please contact Audrey Reinert at areinert@ou.edu

Link to PDF Version of this information.

 

Graduate and Undergraduate Students

 

1. Why should I join?  

DISC provides a variety of benefits to students who are interested in joining. As a student, you will get the opportunity to interact with an active community of scientists, scholars, and educators across many disciplines. Below is a list of benefits that will be available to you. 

Benefits of a Student Membership

  • Mentorship opportunities 

  • Data science networking opportunities 

  • Letters of recommendation (as appropriate)  

  • Opportunity to network with faculty/researchers in an informal setting 

  • Featured in newsletter 

  • Eligible for travel support 

Note: Additional benefits will be added throughout the year. 

2. Are there any expectations? 

Yes, depending on the level of commitment that you choose on our form, we expect you to participate in a number of the following activities during the calendar year. We are always open to suggestions for additional activities.

Expectations for Student Membership

  • Participating in project ideation and team-building workshops 

  • Compete in DISC approved DS competitions

  • Attending on-campus trainings  

  • Mentoring undergraduates 

  • Volunteering for community outreach activities  

  • Organizing, presenting, or attending seminars 

  • Present research at recognized data science or data-enabled research conference 

  • Author (or Co-author) conference or journal paper related to data-enabled research 

  • Lead or contribute to tutorials on data science or data-enabled research technique including: 

  • New programming languages 

  • New database management techniques 

  • Machine learning techniques and their use

3. How Can I join?

It is very simple to join! Please complete the form below and you will become a graduate/undergraduate student member!

For any additional questions, please contact Audrey Reinert at areinert@ou.edu

Link to PDF Version of this information