基于区块链的毕业设计Data Ethics and Society Reading Group – 数据伦理与社会阅读小组

本文提供基于区块链的毕业设计国外最新区块链项目源码下载,包括solidity,eth,fabric等blockchain区块链,基于区块链的毕业设计Data Ethics and Society Reading Group – 数据伦理与社会阅读小组 是一篇很好的国外资料

██████   █████ ████████  █████      ███████ ████████ ██   ██ ██  ██████ ███████          ██   ██ ██   ██   ██    ██   ██     ██         ██    ██   ██ ██ ██      ██               ██   ██ ███████   ██    ███████     █████      ██    ███████ ██ ██      ███████          ██   ██ ██   ██   ██    ██   ██     ██         ██    ██   ██ ██ ██           ██          ██████  ██   ██   ██    ██   ██     ███████    ██    ██   ██ ██  ██████ ███████                                                                                                    █████  ███    ██ ██████      ███████  ██████   ██████ ██ ███████ ████████ ██    ██      ██   ██ ████   ██ ██   ██     ██      ██    ██ ██      ██ ██         ██     ██  ██       ███████ ██ ██  ██ ██   ██     ███████ ██    ██ ██      ██ █████      ██      ████        ██   ██ ██  ██ ██ ██   ██          ██ ██    ██ ██      ██ ██         ██       ██         ██   ██ ██   ████ ██████      ███████  ██████   ██████ ██ ███████    ██       ██                                                                                                  ██████  ███████  █████  ██████  ██ ███    ██  ██████                                     ██   ██ ██      ██   ██ ██   ██ ██ ████   ██ ██                                          ██████  █████   ███████ ██   ██ ██ ██ ██  ██ ██   ███                                    ██   ██ ██      ██   ██ ██   ██ ██ ██  ██ ██ ██    ██                                    ██   ██ ███████ ██   ██ ██████  ██ ██   ████  ██████                                                                                                                               ██████  ██████   ██████  ██    ██ ██████                                                ██       ██   ██ ██    ██ ██    ██ ██   ██                                               ██   ███ ██████  ██    ██ ██    ██ ██████                                                ██    ██ ██   ██ ██    ██ ██    ██ ██                                                     ██████  ██   ██  ██████   ██████  ██                                                                                                                  

Data Ethics and Society Reading Group

“Data Science isn’t neutral”; books such as Race After Technology, Invisible Woman and Data Feminism have highlighted the social and ethical impact of Statistics, Data Science and Artificial Intelligence (AI).

The Data Science and Ethics Society reading group is a space for public sector colleagues to reflect on the ethical implication of our work in response to research. For more information on how to host an event please see the Hosting Guide. The role of the host is to introduce the session, talk about ground rules, introduce speakers, and oversee final discussion points at the end of the session. Typically we run hour sessions using a 15-30-15 method but this is only a guide and times can be adjusted if there are fewer than three speakers, or a large attendance with lots of rooms, for example

Session Framework

Lightning Talks (15 mins)

The sessions start with up to three lightning talks, each a maximum of five minutes. Talks may cover an interesting research paper, application, blog post, anything that fits to the theme of the session. Please refer to the Lightning Talk Guide for more information.

Break-out Discussions (30 mins)

These talks are then followed by semi-structured breakout out room discussions. The size of the rooms is up to you, but they should not be too large that people aren’t able to contribute. Note though, some people may not want to contribute. To allow for time for everyone to talk you may want to adopt a 1-2 approach, where someone gets one minute to raise a point and everyone gets two minutes to respond. This should be a loose guide and not used to limit discussions though. If you do use this method, 10 people in a room would only get one minute each to talk about a point they want to talk about. Please refer to the Facilitator Guide for more information.

Group Discussion (15 mins)

Everyone should be given the opportunity to regroup and to raise any discussion points, if they wish to. Some may not want to. Again, the 1-2 method may be used. The organisers should close the session, providing guidance on how to continue to discussions going forward.


Sessions and Reading List

Next Session

Communcating with Data (25th May 2021, 3pm to 4:30pm)

We are currently planning our next session: Commincating with Data. This will look at accessible, responsible and equitable data communication. If you would like to contribute to the reading list, submit an request here.

Registration

The EventBrite link will be posted here soon.

This meetup is exclusively for the public sector (central and local government and their arms-length bodies, government companies, policing and public health organisations, such as the NHS).

If you would like to receive the EventBrite link, please email [email protected] or visit the Gov Data Science Slack ethics channel.

Frequently Asked Questions

  • Can I use a personal email address to register and access the event on Microsoft Teams?

Please register with your work address to help us check that you are a UK public sector employee. If you use a personal email address, your registration may be cancelled.

  • How do you make your events accessible to all attendees?

Microsoft Teams provides a live captioning feature for attendees to use. We encourage our speakers to design slides with accessibility in mind, and we will try our best to send the slides in advance.

  • If you have any suggestions or requests regarding accessibility features, please email [email protected]

Privacy statement

ONS Privacy Statement


Past Sessions

4: Bias

Bias “[uncountable, countable] the fact that the results of research or an experiment are not accurate because a particular factor has not been considered when collecting the information”, Oxford Learners Dictionary. If you want to run this session a reading list can be seen on our github. Furthermore, a set of Discussion questions are also available.

1-3: Data Feminism

The first three sessions focused on Data Feminism, centered around the Data Feminism book by Catherine D’Ignazio (@kanarinka) and Lauren Klein (@laurenfklein). If you want to run these sessions a reading list can be seen on our github: session 1, session 2, session 3. Furthermore, a set of Discussion questions are also available: session 1, session 2, session 3.


Acknowledgements

Built off of, inspired by, and borrowing heavily from Ethics Book Club in a Box from DataKind UK: an intro to setting up a data ethics book club.


This website has passed the Government’s accessibility criteria. If you want to raise anything related to its accessibility, please email [email protected]


██████   █████ ████████  █████      ███████ ████████ ██   ██ ██  ██████ ███████          ██   ██ ██   ██   ██    ██   ██     ██         ██    ██   ██ ██ ██      ██               ██   ██ ███████   ██    ███████     █████      ██    ███████ ██ ██      ███████          ██   ██ ██   ██   ██    ██   ██     ██         ██    ██   ██ ██ ██           ██          ██████  ██   ██   ██    ██   ██     ███████    ██    ██   ██ ██  ██████ ███████                                                                                                    █████  ███    ██ ██████      ███████  ██████   ██████ ██ ███████ ████████ ██    ██      ██   ██ ████   ██ ██   ██     ██      ██    ██ ██      ██ ██         ██     ██  ██       ███████ ██ ██  ██ ██   ██     ███████ ██    ██ ██      ██ █████      ██      ████        ██   ██ ██  ██ ██ ██   ██          ██ ██    ██ ██      ██ ██         ██       ██         ██   ██ ██   ████ ██████      ███████  ██████   ██████ ██ ███████    ██       ██                                                                                                  ██████  ███████  █████  ██████  ██ ███    ██  ██████                                     ██   ██ ██      ██   ██ ██   ██ ██ ████   ██ ██                                          ██████  █████   ███████ ██   ██ ██ ██ ██  ██ ██   ███                                    ██   ██ ██      ██   ██ ██   ██ ██ ██  ██ ██ ██    ██                                    ██   ██ ███████ ██   ██ ██████  ██ ██   ████  ██████                                                                                                                               ██████  ██████   ██████  ██    ██ ██████                                                ██       ██   ██ ██    ██ ██    ██ ██   ██                                               ██   ███ ██████  ██    ██ ██    ██ ██████                                                ██    ██ ██   ██ ██    ██ ██    ██ ██                                                     ██████  ██   ██  ██████   ██████  ██                                                                                                                  

数据伦理与社会阅读小组

“数据科学不是中立的”;诸如《科技后的种族》、《看不见的女人》和《数据女权主义者》等书强调了统计学、数据科学和人工智能(AI)对社会和伦理的影响。

数据科学与伦理学会阅读小组是一个公共部门同事反思我们研究工作的伦理含义的空间。有关如何主办活动的更多信息,请参阅《主办指南》。主持人的职责是介绍会议,讨论基本规则,介绍演讲者,并监督会议结束时的最后讨论点。通常,我们使用15-30-15的方法进行一个小时的会议,但这只是一个指南,如果演讲者少于三个,或者出席人数众多且房间很多,则可以调整时间,例如,会议开始时最多有三次闪电式的谈话,每次最多五分钟。会谈可能涉及一篇有趣的研究论文、申请、博客文章,以及任何与会议主题相符的内容。有关更多信息,请参阅Lightning Talk指南。

会议框架

闪电演讲(15分钟)

这些会谈之后是半结构化的分组讨论。房间的大小由你自己决定,但不应该太大,人们无法贡献。不过,请注意,有些人可能不想捐款。为了给每个人留出谈话的时间,你可以采取1-2的方式,即某人有一分钟的时间提出一个观点,每个人有两分钟的时间作出回应。这应该是一个松散的指南,而不是用来限制讨论。如果你真的用这种方法,一个房间里10个人每人只有一分钟的时间谈论他们想谈论的话题。有关更多信息,请参阅协导员指南。

突发讨论(30分钟)

如果每个人都愿意的话,他们应该有机会重新组织并提出任何讨论点。有些人可能不愿意。同样,可以使用1-2方法。主办方应结束会议,就如何继续讨论提供指导。

小组讨论(15分钟)

我们目前正在计划下一节课:与数据交流。这将着眼于无障碍、负责任和公平的数据通信。如果你想加入阅读列表,请在此提交请求。


会议和阅读清单

下一次会议

交流关于数据(2021年5月25日下午3点至4:30)注册常见问题?
  • 如何让所有与会者都能访问您的活动?
  • 如果您对辅助功能有任何建议或要求,请发送电子邮件政府.数据.科学.会议@英国国家统计局你知道吗
  • EventBrite链接将很快在这里发布。

    Registration

    本次会议专门针对公共部门(中央和地方政府及其独立机构、政府公司、警察和公共卫生组织,如NHS)。

    如果您想接收EventBrite链接,请发送电子邮件[email protected]网址或者访问政府数据科学频道。

    请使用您的工作地址注册,以帮助我们确认您是否为英国公共部门员工。如果您使用个人电子邮件地址,您的注册可能会被取消。

    Frequently Asked Questions

    • 如何让所有与会者都能访问您的活动?

    Microsoft团队为与会者提供了实时字幕功能。我们鼓励演讲者在设计幻灯片时考虑到无障碍性,我们将尽最大努力提前发送幻灯片。关于隐私声明的偏见“[不可数的,可数的]研究或实验的结果不准确的事实,因为在收集信息时没有考虑特定的因素”,牛津学习者词典。如果您想运行此会话,可以在我们的github上看到阅读列表。此外,还提供了一组讨论问题。

    • 如果您对辅助功能有任何建议或要求,请发送电子邮件政府.数据.科学.会议@英国国家统计局你知道吗

    前三次会议的重点是数据女权主义,围绕着凯瑟琳·德伊格纳齐奥(@kanarinka)和劳伦·克莱因(@laurenfklein)的数据女权主义书籍展开。如果您想运行这些会话,可以在github上看到阅读列表:会话1、会话2、会话3。此外,还提供了一组讨论问题:第1课时、第2课时、第3课时。

    • If you have any suggestions or requests regarding accessibility features, please email [email protected]

    Privacy statement

    在英国DataKind的一个盒子里,建立了一个道德书友会,受到了这个书友会的启发,并大量借鉴了这个书友会:关于建立一个数据道德书友会的介绍。


    Past Sessions

    4: Bias

    该网站已通过政府的无障碍标准。如果你想提出任何关于它的可访问性的问题,请发邮件政府.数据.科学.会议@英国国家统计局

    1-3: Data Feminism

    The first three sessions focused on Data Feminism, centered around the Data Feminism book by Catherine D’Ignazio (@kanarinka) and Lauren Klein (@laurenfklein). If you want to run these sessions a reading list can be seen on our github: session 1, session 2, session 3. Furthermore, a set of Discussion questions are also available: session 1, session 2, session 3.


    Acknowledgements

    Built off of, inspired by, and borrowing heavily from Ethics Book Club in a Box from DataKind UK: an intro to setting up a data ethics book club.


    This website has passed the Government’s accessibility criteria. If you want to raise anything related to its accessibility, please email [email protected]

    部分转自网络,侵权联系删除区块链源码网

    www.interchains.cc

    https://www.interchains.cc/21718.html

    区块链毕设网(www.interchains.cc)全网最靠谱的原创区块链毕设代做网站 部分资料来自网络,侵权联系删除! 最全最大的区块链源码站 ! QQ3039046426
    区块链知识分享网, 以太坊dapp资源网, 区块链教程, fabric教程下载, 区块链书籍下载, 区块链资料下载, 区块链视频教程下载, 区块链基础教程, 区块链入门教程, 区块链资源 » 基于区块链的毕业设计Data Ethics and Society Reading Group – 数据伦理与社会阅读小组

    提供最优质的资源集合

    立即查看 了解详情