Data Serving Canadians - Strategy for a Data-Driven Innovation Ecosystem

Campus montr是由universit<e:1> de montr、Polytechnique montr和HEC montr组成的联盟，旨在通过实施雄心勃勃的研究和创新战略，依靠世界领先的前沿科学专业知识和多年来在数据科学领域持续投资所产生的杰出研究能力，以及强大的知识和技术转移历史，在数据驱动创新方面实现最高水平的卓越。该战略旨在进一步提高我们在数据科学方面的领导地位，并在机器学习和运筹学方面开辟尚未探索的道路，这些道路将渗透到所有以知识为基础的经济部门，并导致将使所有加拿大人受益的变革性应用。通过创建数据增值研究所（IVADO），蒙塔姆学院开发了一个五管齐下的方法，将1)提高数据驱动研究的能力和强度；2)培养高技能的数据科学家和管理人员，以满足日益增长的需求；3)调动知识并使工业伙伴参与技术转让；4)建立以montracei为基础的国际数据科学卓越网络；5)在产学研合作和技术转让方面表现出模范的管理能力。该战略以有针对性的投资和协调一致的行动为基础，将以一种坚定的跨学科方法解决核心科学、技术、能力建设、工业需求、企业家精神和社会问题。通过利用我们在机器学习和运筹学方面的现有国际领导地位，我们的最终目标是在所有利益相关者的全力投入下，率先建立一个动态的数据驱动的创新生态系统，这反过来又将转化为加拿大在全球范围内的创造力、创新和经济发展的强大催化剂。

Campus Montréal, the alliance of Université de Montréal, Polytechnique Montréal and HEC Montréal, seeks to achieve the highest levels of excellence in data-driven innovation by implementing an ambitious research and innovation strategy that relies upon cutting-edge, world-leading scientific expertise and outstanding research capacity emerging from years of sustained investments in the science of data, together with a strong history of knowledge and technology transfer. This strategy aims at further increasing our leadership in data science and opening unexplored paths in machine learning and operations research that will permeate all knowledge-based economic sectors and lead to transformative applications that will benefit all Canadians. Through the creation of the Institute for Data Valorisation (IVADO), Campus Montréal has developped a five-pronged approach that will 1) enhance the capacity and intensity of data-driven research; 2) train highly-skilled data-scientists and managers to meet a growing demand; 3) mobilize knowledge and engage industrial partners in technology transfer; 4) establish a Montréal-based international data-science network of excellence; 5) demonstrate exemplary stewardship in academia-industry collaborations and technology transfer. The strategy, based on targeted investments and concerted actions, will address core science, technology, capacity building, industrial needs, entrepreneurship and societal issues in a resolutely interdisciplinary approach. By leveraging our existing international leadership position in machine learning and operations research, our ultimate goal is to spearhead a dynamic data-driven innovation ecosystem with the full commitment of all stakeholders, which will in turn translate into a powerful catalyzer for creativity, innovation and economic development for Canada at the global scale.