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Intersection of Computer Science & Sociology - Part 1 - AI & Public Health

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Manage episode 437810243 series 2797646
Contenuto fornito da PHI Media. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da PHI Media o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

What does a career look like exploring the intersection of AI, public health, and social science?

Look no further than Dr. Serina Chang, who is an incoming Assistant Professor at UC Berkeley and she joins the Public Health Insight Podcast to talk about her research to develop AI methods to improve public health, understand human behavior, and guide data-driven policymaking.

Guest

◼️ Serina Chang, PhD


Host & Producer

◼️ Gordon Thane, BMSc, MPH, PMP®


Production Notes

◼️ Music from Johnny Harris x Tom Fox: The Music Room

Subscribe to the Newsletter

Subscribe to The Insight newsletter so you don’t miss out on the latest podcast episodes, live events, job skills, learning opportunities, and other engaging professional development content here.

Leave Us Some Feedback

If you enjoy our podcasts, be sure to subscribe and leave us a rating on Apple Podcast or Spotify, and spread the word to your friends to help us get discovered by more people. You can also interact directly with the podcast episodes on Spotify using the new “comment” feature! We’d love to hear what you think.

Send us a Text Message to let us know what you think.

  continue reading

Capitoli

1. Part 1 - Career (00:00:00)

2. Serina's Musical Journey (00:04:56)

3. Academic Pathway and Early Interests (00:06:09)

4. Combining Computer Science and Sociology (00:08:33)

5. Internships and Professional Experience (00:11:14)

6. PhD Journey and Research Focus (00:13:05)

7. Teaching and Outreach (00:19:28)

8. Future Plans and Current Work (00:22:42)

9. Conclusion and Next Episode Teaser (00:31:05)

248 episodi

Artwork
iconCondividi
 
Manage episode 437810243 series 2797646
Contenuto fornito da PHI Media. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da PHI Media o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

What does a career look like exploring the intersection of AI, public health, and social science?

Look no further than Dr. Serina Chang, who is an incoming Assistant Professor at UC Berkeley and she joins the Public Health Insight Podcast to talk about her research to develop AI methods to improve public health, understand human behavior, and guide data-driven policymaking.

Guest

◼️ Serina Chang, PhD


Host & Producer

◼️ Gordon Thane, BMSc, MPH, PMP®


Production Notes

◼️ Music from Johnny Harris x Tom Fox: The Music Room

Subscribe to the Newsletter

Subscribe to The Insight newsletter so you don’t miss out on the latest podcast episodes, live events, job skills, learning opportunities, and other engaging professional development content here.

Leave Us Some Feedback

If you enjoy our podcasts, be sure to subscribe and leave us a rating on Apple Podcast or Spotify, and spread the word to your friends to help us get discovered by more people. You can also interact directly with the podcast episodes on Spotify using the new “comment” feature! We’d love to hear what you think.

Send us a Text Message to let us know what you think.

  continue reading

Capitoli

1. Part 1 - Career (00:00:00)

2. Serina's Musical Journey (00:04:56)

3. Academic Pathway and Early Interests (00:06:09)

4. Combining Computer Science and Sociology (00:08:33)

5. Internships and Professional Experience (00:11:14)

6. PhD Journey and Research Focus (00:13:05)

7. Teaching and Outreach (00:19:28)

8. Future Plans and Current Work (00:22:42)

9. Conclusion and Next Episode Teaser (00:31:05)

248 episodi

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