Hosted by Dana Farber Cancer Institute · 🇺🇸 US · EN · 10 episodes
Established thought leaders with verified media credentials.
Our Data Science Zoominars feature interactive conversation with #datascience experts and a live Q+A session moderated by faculty at the Department of Data Science at Dana-Farber Cancer Institute.
Dana Farber Cancer Institute hosts Dana-Farber Data Science Podcast, a education show with 10 episodes published.
What is machine learning? What distinguishes it from statistics? Daniela Witten, PhD is Professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford Endowed Chair in Mathematical Statist
How prevalent is image alteration in biomedical research publications? What counts as manipulation? Elisabeth Bik, PhD, Principal at Harbers Bik, LLC, is a science consultant and microbiome, science integrity and image f
How should we teach data science? Jeff Leek, PhD is a Professor at the Johns Hopkins School of Public Health, co-editor of Simply Statistics, co-director of the Johns Hopkins Data Science Lab and co-founder of Problem Fo
How can we best communicate our data science findings using #dataviz? Alberto Cairo, PhD is a journalist, designer, and the Knight Chair in Visual Journalism at the School of Communication of the University of Miami (UM)
How does data transform policy making? Arnaldo and Rafa discuss the importance of data-driven decisions in governance and the state of data in PuertoRico. For the past 17 years, Arnaldo Cruz has worked for the government
How is statistics used to predict elections? Andrew and Rafa discuss the U.S. 2020 Election and the role of the electoral college, polls, mail-in ballots and voter data in forecasting results and post-election outcomes.
What do we mean by diversity in STEM and why is it important? What works and what doesn't to increase diversity in data science? Emma K. T. Benn, DrPH, MPH is Associate Professor in the Center for Biostatistics and Depar
What does the future hold for statistics education? How can we improve public data literacy? Professor Sir David Spiegelhalter, PhD is Chair of the Winton Centre for Risk and Evidence Communication at University of Cambr
What's it really like to be a dean? How do academic administrators use data collection and analysis to guide decisions? A renowned expert in the statistical analysis of brain imaging data, F. DuBois Bowman, PhD, is dean
While we do cancer clinical trials to test drugs, exposures that increase risks are found with observational studies. These have also been instrumental in highlighting disparities. Tim Rebbeck and Rafa Irizarry discuss t
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
Dana-Farber Data Science Podcast has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their education audience.
Dana-Farber Data Science Podcast is hosted by Dana Farber Cancer Institute. The show is categorised under Education (Science) and has published 10 episodes.
Dana-Farber Data Science Podcast has published 10 episodes.
Dana-Farber Data Science Podcast regularly covers Education, Science, Mathematics. It sits in the Education category, with a Science focus.
Dana-Farber Data Science Podcast is accessible for guests with genuine education expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Dana-Farber Data Science Podcast hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Dana-Farber Data Science Podcast average 44 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Dana-Farber Data Science Podcast's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched yesterday.