Connected Minds: Neural & Machine Systems for a Healthy, Just Society

互联思想:神经

基本信息

  • 批准号:
    CFREF-2022-00010
  • 负责人:
  • 金额:
    $ 96.14万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Canada First Research Excellence Fund
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

The world is evolving toward a new `techno-social' collective: one composed of both humans and intelligent artificial agents. While the potential benefits are extensive, disruptive technologies may also create unexpected or harmful societal consequences, especially in equity-deserving communities. We will address this global challenge with a unique initiative: Connected Minds: Neural & Machine Systems for a Healthy, Just Society. Our vision is to co-create and co-lead socially responsible, community engaged research that produces innovative technologies, policies, and regulations that optimize the benefits and mitigate the risks of the new techno-social collective. Our strategic goals are: 1. Achieve global research excellence; 2. Attract and retain the best talent; 3. Amplify knowledge mobilization (KM)/commercialization; and 4. Promote success of Indigenous and other equity-deserving groups.York is well placed to lead this initiative, with traditional strengths in arts, social sciences, law and social justice, a proven collaborative ecosystem spanning neuroscience, engineering, arts & humanities, and effective partner engagement and commercialization. Queen's complements these strengths with internationally renowned socially responsible, interdisciplinary health research and education programs, combining AI/robotics with population and brain health methodologies. Our interdisciplinary group spans life sciences, engineering, and humanities to pursue our goals across three investigational themes: I. Co-creating Research for Societal Needs and Predicted Impact; II. Fundamentals of Social Interaction: Neural, Algorithmic, and Social Networks; and III. Designing and Developing Socially Responsible Technologies. Connected Minds will fund 35 strategic faculty hires, partner-focused seed, team, and prototyping grants, KM/commercialization events, and an ambitious multi-institutional micro-credential training program with 385 trainees and cross-sector stakeholders. All activities will require interdisciplinary participation, and we will prioritize projects that benefit Indigenous and other equity-deserving groups. With CFREF funding, Connected Minds will lead Canada and the world in the socially responsible creation and adoption of scientific and technological innovation to promote a healthy, resilient, and just techno-social collective, advancing Canada's ST&I priorities and having a broad, enduring impact on how research is conducted in Canada
世界正在朝着一个新的“技术-社会”集体发展:一个由人类和智能人工代理人组成的集体。虽然潜在的好处是广泛的,但颠覆性技术也可能产生意想不到的或有害的社会后果,特别是在值得公平的社区。我们将通过一项独特的倡议来应对这一全球挑战:互联思维:神经和机器系统,建立一个健康、公正的社会。我们的愿景是共同创建和共同领导对社会负责的、社区参与的研究,以产生创新的技术、政策和法规,以优化新的技术-社会集体的利益并降低风险。我们的战略目标是:1.实现全球研究的卓越;2.吸引和留住最优秀的人才;3.扩大知识动员(KM)/商业化;以及4.促进土著和其他值得公平的群体的成功。纽约处于领导这一倡议的有利地位,拥有艺术、社会科学、法律和社会正义方面的传统优势,一个跨越神经科学、工程、艺术和人文的成熟合作生态系统,以及有效的合作伙伴参与和商业化。皇后医院将人工智能/机器人技术与人口和大脑健康方法相结合,以国际知名的社会责任感、跨学科的健康研究和教育项目来补充这些优势。我们的跨学科小组横跨生命科学、工程学和人文科学,以追求我们在三个调查主题上的目标:i.共同创造针对社会需求和预期影响的研究;ii.社交互动的基础:神经、算法和社交网络;以及iii.设计和开发社会责任技术。Connected Minds将资助35名战略性教师招聘、以合作伙伴为重点的种子、团队和原型赠款、知识管理/商业化活动,以及一项雄心勃勃的多机构微证书培训计划,有385名学员和跨行业利益相关者。所有活动都需要跨学科参与,我们将优先考虑有利于土著和其他公平群体的项目。在CFREF的资助下,Connected Minds将领导加拿大和世界创造和采用对社会负责的科学和技术创新,以促进一个健康、有弹性和公正的技术社会集体,推进加拿大的科技和创新优先事项,并对加拿大进行研究的方式产生广泛而持久的影响

项目成果

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Asif, Amir其他文献

A Unified Optimization for Resilient Dynamic Event-Triggering Consensus Under Denial of Service
  • DOI:
    10.1109/tcyb.2020.3022568
  • 发表时间:
    2022-05-01
  • 期刊:
  • 影响因子:
    11.8
  • 作者:
    Amini, Amir;Asif, Amir;Mohammadi, Arash
  • 通讯作者:
    Mohammadi, Arash
Compressive Sensing Time Reversal MIMO Radar: Joint Direction and Doppler Frequency Estimation
  • DOI:
    10.1109/lsp.2015.2396650
  • 发表时间:
    2015-09-01
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Sajjadieh, Mohammad H. S.;Asif, Amir
  • 通讯作者:
    Asif, Amir
Consensus-based distributed dynamic sensor selection in decentralised sensor networks using the posterior Cramer-Rao lower bound
  • DOI:
    10.1016/j.sigpro.2014.10.005
  • 发表时间:
    2015-03-01
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Mohammadi, Arash;Asif, Amir
  • 通讯作者:
    Asif, Amir
Cramer-Rao Bounds for Time Reversal MIMO Radars With Multipath
Combining Total Variation Regularization with Window-Based Time Delay Estimation in Ultrasound Elastography
  • DOI:
    10.1109/tmi.2019.2913194
  • 发表时间:
    2019-12-01
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Mirzaei, Morteza;Asif, Amir;Rivaz, Hassan
  • 通讯作者:
    Rivaz, Hassan

Asif, Amir的其他文献

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{{ truncateString('Asif, Amir', 18)}}的其他基金

York University Application to EDI Stipend
约克大学 EDI 奖学金申请
  • 批准号:
    CRCES-2022-00066
  • 财政年份:
    2022
  • 资助金额:
    $ 96.14万
  • 项目类别:
    Canada Research Chair EDI Stipend
Distributed, Non-linear Signal Processing for Large Scale Engineering Applications
适用于大规模工程应用的分布式非线性信号处理
  • 批准号:
    RGPIN-2017-06629
  • 财政年份:
    2021
  • 资助金额:
    $ 96.14万
  • 项目类别:
    Discovery Grants Program - Individual
Crces-2021-1
CCES-2021-1
  • 批准号:
    CRCES-2021-00070
  • 财政年份:
    2021
  • 资助金额:
    $ 96.14万
  • 项目类别:
    Canada Research Chair EDI Stipend
Distributed, Non-linear Signal Processing for Large Scale Engineering Applications
适用于大规模工程应用的分布式非线性信号处理
  • 批准号:
    RGPIN-2017-06629
  • 财政年份:
    2020
  • 资助金额:
    $ 96.14万
  • 项目类别:
    Discovery Grants Program - Individual
CRCES-2020-1
CRCES-2020-1
  • 批准号:
    CRCES-2020-00075
  • 财政年份:
    2020
  • 资助金额:
    $ 96.14万
  • 项目类别:
    Canada Research Chair EDI Stipend
Distributed, Non-linear Signal Processing for Large Scale Engineering Applications
适用于大规模工程应用的分布式非线性信号处理
  • 批准号:
    RGPIN-2017-06629
  • 财政年份:
    2019
  • 资助金额:
    $ 96.14万
  • 项目类别:
    Discovery Grants Program - Individual
Distributed, Non-linear Signal Processing for Large Scale Engineering Applications
适用于大规模工程应用的分布式非线性信号处理
  • 批准号:
    RGPIN-2017-06629
  • 财政年份:
    2018
  • 资助金额:
    $ 96.14万
  • 项目类别:
    Discovery Grants Program - Individual
An Investigation of Various aspects of Applications Combining SSVEP-based Brain Computer Interface and Augmented Reality****
基于SSVEP的脑机接口和增强现实相结合的应用的各个方面的调查****
  • 批准号:
    537572-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 96.14万
  • 项目类别:
    Engage Grants Program
Distributed, Non-linear Signal Processing for Large Scale Engineering Applications
适用于大规模工程应用的分布式非线性信号处理
  • 批准号:
    RGPIN-2017-06629
  • 财政年份:
    2017
  • 资助金额:
    $ 96.14万
  • 项目类别:
    Discovery Grants Program - Individual
"Time Reversal Signal Processing: Applications in Radar, Biomedicine, and Wireless Communications"
“时间反转信号处理:在雷达、生物医学和无线通信中的应用”
  • 批准号:
    228415-2012
  • 财政年份:
    2015
  • 资助金额:
    $ 96.14万
  • 项目类别:
    Discovery Grants Program - Individual

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  • 批准号:
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