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

Campus Montréal是蒙特利尔大学，蒙特利尔理工学院和蒙特利尔HEC的联盟，旨在通过实施雄心勃勃的研究和创新战略来实现数据驱动创新的最高水平，该战略依赖于尖端，世界领先的科学专业知识和杰出的研究能力，这些能力来自于多年来对数据科学的持续投资，以及强大的知识和技术转让历史。这一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领域开辟未探索的道路，这些道路将渗透到所有以知识为基础的经济部门，并导致有利于所有加拿大人的变革性应用。通过建立数据价值研究所（IVADO），蒙特利尔校区制定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）培训高技能的数据科学家和管理人员，以满足不断增长的需求; 3）调动知识，并使工业合作伙伴参与技术转让; 4）建立一个位于蒙特利尔的国际数据科学卓越网络; 5）在企业与行业的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，将以坚定的跨学科方法解决核心科学、技术、能力建设、工业需求、创业精神和社会问题。通过利用我们在机器学习和运筹学领域现有的国际领导地位，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，这将反过来转化为加拿大在全球范围内创造力，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.