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National Disability Insurance Scheme: Advocates wants transparency on how algorithms are used to guide funding for the NDIS - Vimarsana News

National Disability Insurance Scheme: Advocates wants transparency on how algorithms are used to guide funding for the NDIS

Advocates call for transparency on how algorithms are used to guide funding for the National Disability Insurance Scheme as $57 billion is set to be shaved off the NDIS.

National Disability Insurance Scheme: Advocates wants transparency on how algorithms are used to guide funding for the NDIS - Vimarsana News

National Disability Insurance Scheme: Advocates wants transparency on how algorithms are used to guide funding for the NDIS

Advocates call for transparency on how algorithms are used to guide funding for the National Disability Insurance Scheme as $57 billion is set to be shaved off the NDIS.

Source: smh.com.au
Daily review 28/10/2022 - Vimarsana News

Daily review 28/10/2022

Daily review is also your post. This provides Standardistas the opportunity to review events of the day. The usual rules of good behaviour apply (see the Policy). Don’t forget to be kind to each other …

Fair Pay Agreements: Thank you Helen and thank you Michael - Vimarsana News

Fair Pay Agreements: Thank you Helen and thank you Michael

Yesterday was a big day for the Progressive movement in Aotearoa New Zealand as the Fair Pay Agreements Bill made its way through Parliament.  Many should be thanked but especially Michael Wood and Helen Kelly.

Frontiers | Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records - Vimarsana News

Frontiers | Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records

In Australia, domestic violence reports are mostly based on data from the police, courts, hospitals, and ad hoc surveys. However, gaps exist in reporting information such as victim injuries, mental health status and abuse types. The police record details of domestic violence events as structured information (e.g., gender, postcode, ethnicity), but also in text narratives describing other details such as injuries, substance use, and mental health status. However, the voluminous nature of the narratives has prevented their use for surveillance purposes. We used a validated text mining methodolog...