78 lines
2.4 KiB
Plaintext
78 lines
2.4 KiB
Plaintext
---
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title: "WASHWeb Webinar: The Future of Our WASH Data Ecosystem"
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description: |
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WASHWeb is hosting its first online event, with guest speakers from Akvo & USAID WSSH Data & Analytics, Aquaya, IRCWASH Systems Academy & WASHNote, mWater, openwashdata, and WASH AI.
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execute:
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echo: false
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warning: false
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editor_options:
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chunk_output_type: console
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markdown:
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wrap: 72
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---
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## 🙋🏻♀️ Welcome!
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WASHWeb is proud to announce that it is hosting its first ever webinar,
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with guest speakers from Akvo & USAID WSSH Data & Analytics, Aquaya,
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IRCWASH Systems Academy & WASHNote, mWater, openwashdata, and WASHAI.
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We will delve into different innovations working towards an improved
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WASH data ecosystem - from the use of AI and open data, to creating
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scalable management information systems.
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## 📹 Recording
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Did you miss the webinar? The recording is now available on [WASHWeb's
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YouTube channel](https://youtu.be/jDKfOT3vBPU?si=yuU_fz5x3GvVxo5d).
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<iframe width="560" height="315" src="https://www.youtube.com/embed/jDKfOT3vBPU?si=vLa252b0lPDSyTDs" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen>
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</iframe>
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## 💻 Slides
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All presentations are downloadable via
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[Dropbox](https://www.dropbox.com/scl/fi/iq8ze0ep444rbfzfgr21d/WASHWeb_webinar_all_slides_240404.pdf?rlkey=rs26tn76nyuva7733y3mw3hzw&e=1&st=yk7862ib&dl=0)
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or the embedded document below.
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<iframe width="560" height="315" src="WASHWeb_webinar_all_slides_240404.pdf" title="Slides" frameborder="0" allowfullscreen>
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</iframe>
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## 📆 Event Details
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- **Date:** Thursday, April 04, 3:00 - 4:30 PM (CET)
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- **Zoom Registration**: Closed
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- 🇺🇸 7:00 AM (MST - Boulder, USA)
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- 🇬🇧 2:00 PM (GMT - London, UK)
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- 🇳🇬 3:00 PM (WAT - Katsina, Nigeria)
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- 🇰🇪 5:00 PM (EAT - Nairobi, Kenya)
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- 🇮🇳 7:30 PM (IST - New Delhi, India)
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- 🇮🇩 9:00 PM (WIB - Jakarta, Indonesia)
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## 📑 Agenda
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```{r}
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#| tbl-colwidths: [15, 35, 15, 45]
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#| column: page
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#| eval: true
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agenda <- readr::read_csv(here::here("events/2024_04_04_online_webinar/data/tbl-05-washweb-webinar-agenda.csv"))
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agenda |>
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dplyr::select(time, title, speaker, affiliation) |>
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dplyr::rename_with(~stringr::str_to_title(.x), everything()) |>
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knitr::kable()
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```
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##
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