Creating your own style as a team leader means gathering the best ideas that are out there and adapting them to your personality. We asked 9 different podcast hosts to join the show to share their best ideas for onboarding others into teams or groups. They discuss positives and negatives have they experienced when being onboarded themselves. The bonus is that you also get to hear from 8 great shows that are for you as academics. Download this episode to find great onboarding ideas and your next podcast (or podcasts) to subscribe to. Creating your own style as a team leader means gathering the best ideas that are out there and adapting them to your personality. We asked 9 different podcast hosts to join the show to share their best ideas for onboarding others into teams or groups. They discuss positives and negatives have they experienced when being onboarded themselves. The bonus is that you also get to hear from 8 great shows that are for you as academics. Download this episode to find great onboarding ideas and your next podcast (or podcasts) to subscribe to. Show notes: www.teamhelium.co/episode32
Shows included are: (1) The Contingent Professor (2) Personal Finance for PhDs (3) Fast Track Impact (4) Working Scientists (from Nature Careers) (5) Grad Blogger (6) Research in Action (7) PhD Career Stories (8) Teaching in Higher Ed
The podcast and artwork embedded on this page are from Christine Ogilvie Hendren and Matt Hotze, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
McKinsey Global Institute partner Susan Lund talks with Michael about what’s on the horizon for the workforce and the economy and how it will affect the future of higher education.
The podcast and artwork embedded on this page are from Jeff Selingo and Michael Horn, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
In this episode, Katie is joined by Dr. Paul William Eaton, an Assistant Professor of Educational Leadership at Sam Houston State University. Paul’s research interests include inquiries into digital technologies in education and human identity~subjectification~becoming; digital pedagogy and learning; postqualitative, complexivist, and posthumanist inquiry; and curriculum theorizing-philosophy in the realms of postsecondary education and student affairs. He serves as Assistant Editor for the Higher Education section of the Journal of Curriculum Theorizing and on the Editorial Review Board of the Journal Committed to Social Change on Race & Ethnicity. He is the co-author of Troubling Method: Narrative Research as Being (Peter Lang Press, 2018, with Petra Munro Hendry & Roland Mitchell). His research has appeared in the Review of Higher Education, International Journal of Qualitative Studies in Education, Thresholds in Education, and the Journal of Critical Scholarship on Higher Education & Student Affairs, among others. He received his Ph.D. from Louisiana State University in May 2015, his master’s degree from the University of Maryland College Park in 2005, and his bachelor’s degree from the University of Minnesota Twin Cities in 2002. Follow Paul on Twitter and Instagram @profpeaton. His blog is located at: https://www.profpeaton.com.
Segment 1: Postqualitative, Complexivist, and Posthumanist Inquiry [00:00-17:40]
In this first segment, Paul defines the terms he uses to describe his research.
In this segment, the following resources are mentioned:
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The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Oregon State University Ecampus or Oregon State University.
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Ghassemi explains how she is tackling two issues: eradicating bias in healthcare data and models, and understanding what it means to be healthy across different populations during her conversation with Women in Data Science Co-Director Karen Matthys on the Women in Data Science podcast.
She says that there are built-in biases in data, access to care, treatments, and outcomes. If we train models on data that is biased, it will operationalize those biases. Her goal is to recognize and eliminate those biases in the data and the models. For example, research shows that end-of-life care for minorities is significantly more aggressive. “This mistrust between patient and provider, which we can capture and model algorithmically, is predictive of who gets this aggressive end-of-life care.”
Ghassemi is also interested in the fundamental question of what it means to be healthy, and whether that rule generalizes. It requires a different mode for data collection and analysis. She explains that the typical process is that data is generated when you go to the doctor because you are sick. However, what matters more than your infrequent doctor check-in is how you’re experiencing things day to day, the self-report. She sees a huge opportunity in combining doctor visit data, self-reported data and data from wearable devices that’s passively collected from people that consent to their behavioral data being used. We can use all of those different kinds of data modalities to understand what it means to be healthy for all kinds of people.
She also offers valuable insights from her career in data science as a woman, a minority and a mother. She is a visible minority because she chooses to wear a headscarf. “I became comfortable very early on with defending choices that I had made about my life. And that for me really was instrumental in the academic process. Because what is academia if not constant rejection?”
Ghassemi made the decision to become a mother while pursuing her PhD. “As a society we should recognize that having kids is not a career hit.” She felt she was able to have kids and be successful as a graduate student because there was a community around her that was supportive and recognized that having children would enrich her life and experience. She credits having a supportive mentor as being instrumental in making it all work, saying, “You have to choose the race that you can be successful at.”
She wants young women entering the field to know there is no one defined path. She says don’t worry about checking boxes. Choose things that you are very passionate about. Find a mentor who’s willing to invest in you, and the path you want to take. Surround yourself with good people. It’s not the project that makes you successful; it’s the people. If you can’t trust the people around you, and learn how to work together, you are going to fail. Having the right mentors and having the right people around you should always be your guiding star.
The podcast and artwork embedded on this page are from Professor Margot Gerritsen, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
