Good morning! I hope you don't mind if I link to your site that you provide in the last slide: https://www.qcc.cuny.edu/nsfGrants/nsf-ate.html

Thank you for your presentation and enthusiasm for increasing the equity and inclusion of data science fields. It is wonderful that you have a diverse team of educators working on this project. Could you tell us a bit more about how you function as a team? Do the four of you (and possibly others) collaborate or work independently on the various aspects of the program? And also I’d love to hear how your program seeks to reach various student populations so that students who are traditionally underrepresented in data science can more readily find their way to successful careers in these fields. And finally, how have you begun measuring (or how do you plan to measure) the impact of this program on students’ lives and careers?

I'm excited to hear more!

Your team is doing important work; thank you for sharing with us!

It's great that you've included a speaker series to showcase the work of diverse professionals. Can you give us a sense of the kinds of people participating in the series? Are they academic researchers? Industry professionals? Are there ways you help them tailor their talks to students to help motivate and sustain their interests in data science?

You also mentioned that it's important to "integrate social consciousness with scientific culture." That's a great goal: How have you tried to achieve this so far in your project? It seems easy to get immersed in the technical details of cloud computing, bioinformatics, etc. I'd love to know more about your experiences helping students see the humanistic aspects of data science.

Finally, what outcomes do you imagine from the project? How have you considered measuring the impact of the various components of the intervention?

Great work!  Very much needed.

Would love to learn more about the curricula that you have built or plan on building.  We have done some work in relevant areas and have some courses developed that might be of value.  Please visit sailplatform.org.  

 How your program seeks to reach various student populations so that students who are traditionally underrepresented in data science can more readily find their way to successful careers in these fields.

We organized a student panel; all presenters had started in community colleges and had now careers in data analysis. Two were females and one underrepresented.

And finally, how have you begun measuring (or how do you plan to measure) the impact of this program on students’ lives and careers?

we are working with our evaluator via surveys now. We plan to follow them the students career's choices and employment

Thank you for your video and for your work in bringing data science to students who might not otherwise have the opportunity to acquire these skills.  I'm a data science educator as well, although I work more at the middle and high school level, so we use different tools (CODAP, not Python) and, probably, a somewhat different approach.  Based on that work, I know that for many students, data is an unfamiliar topic and somewhat "scary" - that is, until they see the power of data to uncover and illuminate patterns - especially patterns that relate to "social consciousness."  I wonder if this observation is also true of your students and, if so, how you give them an inspiring dive into how data can answer questions they truly care about - before they get overwhelmed with the technical details of Python, cloud computing, etc.  (I see that Brian has asked a similar question.)  

I'm also curious to know how you developed your curriculum and whether you've changed it at all in response to student engagement, success or struggle.  I know when I develop teaching materials, they always go through multiple iterations before I'm satisfied that students are understanding the concepts and are able to use them independently.  Hearing stories about the way your curriculum was developed and, perhaps, changed would be of great value to other people who are trying to bring data science to community college students.

This team has done great work!  So glad to see the results off planning done several years back!  So glad to see your BILT link!  Let me know how I can still help?

Thank you Ann! We are very  grateful for your support. You will hear from us.