Join us December 10th & 11th at Academy Hall - FHI 360’s Conference Center in the heart of Washington, DC - for the 5th Annual Global Digital Health Forum!

 

The theme for this year’s event — A Shared Language for Digital Health — looks to the World Health Organization’s “Classification of Digital Health Interventions” as a framework to guide our conversation.The 2018 Global Digital Health Forum will be an intimate and curated event, capped at 300 attendees, with engaging sessions to connect government stakeholders, digital health technologists, researchers, donors, implementers and field experts from across the globe. The Forum will once again feature TED-style talks, panel presentations, hands-on workshops, the interactive “Appy Hour”, vendor tables and an opportunity to showcase your work on a poster.

 

Please note that the Forum will not take place at a hotel this year, so participants will be required to make their own lodging arrangements, and we expect to announce discounted hotel rates available to participants in the coming month.

 

The FHI 360 Conference Center is conveniently located at 1825 Connecticut Avenue, NW, Washington DC 20009. Click here for a map of the location. The abstract submission process has now ended and we expect to make acceptance notifications in early September.

 

Thank you and we look forward to your participation to make this a great event! 

 

The Global Digital Health Advisory Board

___________________________________________

 

Looking ahead to our next monthly meeting, please join us Friday, July 20 9:00am - 10:30am at Abt Associates in Rockville, MD to learn about the use of Machine Learning in Public Health. What does it mean to use machine learning in the context of international health? There is a lot of discussion around the vast potential that AI, Natural Language Processing, and Big Data can bring to industries around the world. But how can we use these tools in low and middle income countries where resources are limited, connectivity is challenging, and reliable data is sparse?  While there are unique challenges in applying these technology advancements to global digital health, there are also immense opportunities. Join us for some lively talk and hands-on demonstrations of machine learning in action: from the simple (use of Google sheets and Twitter) to the sophisticated (Python algorithms for NLP). 

Please RSVP here

 

_____________________________________________

Click here to join the Global Digital health Network

Continue the conversation on Twitter @The_GDHN