---
title: "WASHWeb Webinar: The Future of Our WASH Data Ecosystem"
description: |
  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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---

## 🙋🏻‍♀️ Welcome!

WASHWeb is proud to announce that it is hosting its first ever webinar,
with guest speakers from Akvo & USAID WSSH Data & Analytics, Aquaya,
IRCWASH Systems Academy & WASHNote, mWater, openwashdata, and WASHAI.

We will delve into different innovations working towards an improved
WASH data ecosystem - from the use of AI and open data, to creating
scalable management information systems.

## 📹 Recording

Did you miss the webinar? The recording is now available on [WASHWeb's
YouTube channel](https://youtu.be/jDKfOT3vBPU?si=yuU_fz5x3GvVxo5d).

<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>

</iframe>

## 💻 Slides

All presentations are downloadable via
[Dropbox](https://www.dropbox.com/scl/fi/iq8ze0ep444rbfzfgr21d/WASHWeb_webinar_all_slides_240404.pdf?rlkey=rs26tn76nyuva7733y3mw3hzw&e=1&st=yk7862ib&dl=0)
or the embedded document below.

<iframe width="560" height="315" src="WASHWeb_webinar_all_slides_240404.pdf" title="Slides" frameborder="0" allowfullscreen>

</iframe>

## 📆 Event Details

-   **Date:** Thursday, April 04, 3:00 - 4:30 PM (CET)

-   **Zoom Registration**: Closed

-   🇺🇸 7:00 AM (MST - Boulder, USA)

-   🇬🇧 2:00 PM (GMT - London, UK)

-   🇳🇬 3:00 PM (WAT - Katsina, Nigeria)

-   🇰🇪 5:00 PM (EAT - Nairobi, Kenya)

-   🇮🇳 7:30 PM (IST - New Delhi, India)

-   🇮🇩 9:00 PM (WIB - Jakarta, Indonesia)

## 📑 Agenda

```{r}
#| tbl-colwidths: [15, 35, 15, 45]
#| column: page
#| eval: true

agenda <- readr::read_csv(here::here("events/2024_04_04_online_webinar/data/tbl-05-washweb-webinar-agenda.csv"))

agenda |> 
    dplyr::select(time, title, speaker, affiliation) |> 
    dplyr::rename_with(~stringr::str_to_title(.x), everything()) |> 
    knitr::kable()
    
```

##