73 lines
2.5 KiB
Plaintext
73 lines
2.5 KiB
Plaintext
---
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title: "Stockholm World Water Week: Unlocking the hidden potential of open WASH data"
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description: |
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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.
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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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There is a hidden potential is WASH data that is unlocked when data is
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used and shared effectively. This event looks at the potential of open
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WASH data and how it can be used more appropriately. In particular, the
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event brings together partners across the public and private sector,
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local and international NGOs, and multilaterals to discuss how our
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community and partnership can have a greater impact through open WASH
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data.There is a hidden potential is WASH data that is unlocked when data
|
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is used and shared effectively. This event looks at the potential of
|
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open WASH data and how it can be used more appropriately. In particular,
|
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the event brings together partners across the public and private sector,
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local and international NGOs, and multilaterals to discuss how our
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community and partnership can have a greater impact through open WASH
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data.
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## 📆 Event Details
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- **Date:** Thursday, August 29, 9:00 - 10:30 PM (CET)
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- **Stockholm World Water Week Registration**:
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<https://www.worldwaterweek.org/attending>
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- 🇺🇸 1:00 AM (MST - Boulder, USA)
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- 🇬🇧 8:00 PM (GMT - London, UK)
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- 🇳🇬 8:00 PM (WAT - Katsina, Nigeria)
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- 🇰🇪 10:00 PM (EAT - Nairobi, Kenya)
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- 🇮🇳 12:30 PM (IST - New Delhi, India)
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- 🇮🇩 14:00 PM (WIB - Jakarta, Indonesia)
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## Agenda
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```{r}
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agenda <- readr::read_csv(here::here("events/2024_08_29_SWWW/data/tbl-11-openwashdata-events.csv"))
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agenda |>
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dplyr::select(-start_time, -end_time, -speaker_link, -affiliation_link) |>
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dplyr::relocate(time) |>
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dplyr::mutate(speaker = dplyr::case_when(
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stringr::str_detect(speaker, "NA") == TRUE ~ " - ",
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TRUE ~ speaker
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)) |>
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dplyr::mutate(affiliation = dplyr::case_when(
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stringr::str_detect(affiliation, "NA") == TRUE ~ " - ",
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TRUE ~ affiliation
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)) |>
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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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## Slides
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Will be shared following the event.
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