---
title: "Stockholm World Water Week: Unlocking the hidden potential of open WASH data"
description: |
  WASHWeb and openwashdata will be hosting a highly interactive workshop session at World Water Week in Stockholm this year, titled "Unlocking the hidden potential of open WASH data". We welcome you to join us, either in-person or online. The speakers are highly cross-sectoral, spanning from public and private sector, local and international NGOs, and multilaterals.
execute:
    echo: false
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editor_options: 
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    wrap: 72
---

## 🙋🏻‍♀️ Welcome!

There is a hidden potential is WASH data that is unlocked when data is
used and shared effectively. This event looks at the potential of open
WASH data and how it can be used more appropriately. In particular, the
event brings together partners across the public and private sector,
local and international NGOs, and multilaterals to discuss how our
community and partnership can have a greater impact through open WASH
data.There is a hidden potential is WASH data that is unlocked when data
is used and shared effectively. This event looks at the potential of
open WASH data and how it can be used more appropriately. In particular,
the event brings together partners across the public and private sector,
local and international NGOs, and multilaterals to discuss how our
community and partnership can have a greater impact through open WASH
data.

## 📆 Event Details

-   **Date:** Thursday, August 29, 9:00 - 10:30 PM (CET)

-   **Stockholm World Water Week Registration**:
    <https://www.worldwaterweek.org/attending>

-   🇺🇸 1:00 AM (MST - Boulder, USA)

-   🇬🇧 8:00 PM (GMT - London, UK)

-   🇳🇬 8:00 PM (WAT - Katsina, Nigeria)

-   🇰🇪 10:00 PM (EAT - Nairobi, Kenya)

-   🇮🇳 12:30 PM (IST - New Delhi, India)

-   🇮🇩 14:00 PM (WIB - Jakarta, Indonesia)

## Agenda

```{r}

agenda <- readr::read_csv(here::here("events/2024_08_29_SWWW/data/tbl-11-openwashdata-events.csv"))

agenda  |> 
    dplyr::select(-start_time, -end_time, -speaker_link, -affiliation_link) |>
    dplyr::relocate(time) |> 
    dplyr::mutate(speaker = dplyr::case_when(
        stringr::str_detect(speaker, "NA") == TRUE ~ " - ",
        TRUE ~ speaker
    )) |> 
    dplyr::mutate(affiliation = dplyr::case_when(
        stringr::str_detect(affiliation, "NA") == TRUE ~ " - ",
        TRUE ~ affiliation
    )) |>
    dplyr::rename_with(~stringr::str_to_title(.x), everything()) |> 
    knitr::kable()
```

## Slides

Will be shared following the event.
