Algorithmic awareness building - SMART 2017/0055.
Sector: Commercial
Source: Single Electronic Data Interchange Area (SEDIA)
The study provides for a policy design process to convey an in-depth, policy-relevant analysis of the role of algorithms and in particular how they shape, filter or personalise the information flows that they intermediate. The study addresses a 3-fold objective: (1) contributes to a wider, shared understanding of the role of algorithms in the context of online platforms, while raisi
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The study provides for a policy design process to convey an in-depth, policy-relevant analysis of the role of algorithms and in particular how they shape, filter or personalise the information flows that they intermediate. The study addresses a 3-fold objective: (1) contributes to a wider, shared understanding of the role of algorithms in the context of online platforms, while raising public awareness and debate of emerging issues; (2) identifies and delineates the types of problems and emerging issues raised by the use of algorithms, and establishes an initial, scientific evidence-base for these problems; (3) designs or prototypes solutions for a selection of problems, including policy options, technical solutions and private sector and civil society-driven actions. The study follows an open, participatory approach to state-of-the-art policy design, involving a wide range of actors building on existing and emerging global communities active in this field. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
