The mediated planet: Datafication and the environmental SDGs

行星 天体生物学 环境科学 环境资源管理 自然资源经济学 业务 经济 物理 天体物理学
作者
Adam Wickberg,Susanna Lidström,Amanda Lagerkvist,Tirza Meyer,Nina Wormbs,Johan Gärdebo,Sverker Sörlin,Sabine Höhler
出处
期刊:Environmental Science & Policy [Elsevier BV]
卷期号:153: 103673-103673 被引量:6
标识
DOI:10.1016/j.envsci.2024.103673
摘要

Over the past half century, the global environment has become subject to an accelerated pace of mediation and datafication. This ongoing transition has become so comprehensive that the knowledge, management and governance of the Earth system is dependent on enormous flows of data from a "vast machine" of measuring tools. These processes combined have formed what we call a "mediated planet," subject to interpretation and shared human decision-making – that should ideally be democratic, inclusive and accountable. As environmental datafication continues to accelerate, private corporations are gaining increasing influence on and power over the associated collections of data. This is a cause for concern, as the global environmental commons are a public interest of concern to all people. This article argues for the need to critically research the challenges and risks associated with the rapid datafication of the environment, specifically in relation to the UN Sustainable Development Goals (SDGs) for climate change (13), the ocean (14), biodiversity (15) and inclusive and accountable institutions (16). More knowledge is needed of how the SDGs and their supporting networks influence data-generation on a mediated planet, and how issues of access to and use of environmental data, as well as data ownership and AI implementation, can best be navigated. We contend that such knowledge can help enhance the democratic potential of the SDGs to build public trust and secure broad participation in global environmental governance in ways that also support peaceful and inclusive societies, as promised by SDG 16.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
外向土豆完成签到,获得积分10
1秒前
1秒前
竺七完成签到 ,获得积分10
1秒前
ding发布了新的文献求助10
2秒前
3秒前
4秒前
4秒前
zss发布了新的文献求助20
4秒前
草丛里的羊驼应助hearz采纳,获得10
6秒前
七七发布了新的文献求助10
6秒前
执着妙梦发布了新的文献求助10
7秒前
LPP发布了新的文献求助10
8秒前
爆米花应助张瑞青采纳,获得10
8秒前
科研小王完成签到,获得积分10
10秒前
猪大胖完成签到,获得积分10
11秒前
墨染沉香完成签到 ,获得积分10
12秒前
13秒前
14秒前
深情安青应助酒酿是也采纳,获得10
17秒前
甜甜圈完成签到,获得积分10
18秒前
小小牛马应助Jasper采纳,获得10
20秒前
鞘皮发布了新的文献求助10
20秒前
21秒前
密斯特蟹发布了新的文献求助10
22秒前
夏哈哈发布了新的文献求助10
22秒前
24秒前
akira完成签到,获得积分20
24秒前
25秒前
CodeCraft应助Luke采纳,获得10
26秒前
26秒前
夏哈哈完成签到 ,获得积分10
27秒前
呜呜发布了新的文献求助10
28秒前
Ryan发布了新的文献求助10
29秒前
傲娇的曼香发布了新的文献求助100
29秒前
善学以致用应助谦让翠芙采纳,获得10
30秒前
cmys发布了新的文献求助10
31秒前
传奇3应助xin采纳,获得10
32秒前
无极微光应助dasfs采纳,获得50
32秒前
跳跃念烟完成签到,获得积分10
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
AnnualResearch andConsultation Report of Panorama survey and Investment strategy onChinaIndustry 1000
Continuing Syntax 1000
Signals, Systems, and Signal Processing 610
简明药物化学习题答案 500
Quasi-Interpolation 400
脑电大模型与情感脑机接口研究--郑伟龙 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6275325
求助须知:如何正确求助?哪些是违规求助? 8095081
关于积分的说明 16922209
捐赠科研通 5345252
什么是DOI,文献DOI怎么找? 2841913
邀请新用户注册赠送积分活动 1819147
关于科研通互助平台的介绍 1676400