EAGER: Partnering with Grab for Cross-ASEAN Regional Urban Insights

这项活动是为了响应NSF致同事的信：通过美国-东盟（东南亚国家城市联盟）智慧城市伙伴关系（NSF 20- 24）支持研究向城市的过渡，该合作与美国国务院合作。该项目将启动一个新的合作研究议程，美国研究人员、新加坡和菲律宾的国际研究人员以及Grab控股（Grab）；Grab在整个东南亚地区运营着一个服务平台，包括拼车（包括汽车和摩托车）、食品和包裹递送以及移动支付，在该公司成立以来，已有数十万名司机运送了超过30亿次的订单。利用Grab在印度尼西亚（雅加达）、菲律宾（马尼拉）和新加坡的庞大数据集，并利用研究人员、相关城市或其他来源收集的补充数据集，该团队将利用统计“大数据”分析来探索，例如，零工经济对乘客、司机和其他公民的健康和福祉的影响，以及对零工工人的经济安全的影响。Grab的业务范围广泛，跨越了地区、国家、文化、宗教、农村和城市的界限，提供了广泛的服务，为解决东盟地区以及美国和全球依赖零工经济的城市的关键社会问题创造了机会。利用数据科学、社会网络分析和自然语言处理的方法，以及伴随的现场定性调查，研究人员将与Grab司机和乘客接触，探索拼车对他们社区的更广泛影响。具体来说，合作伙伴将朝着一系列最初的项目方向努力，包括(1)探索马尼拉和雅加达Grab平台的收入流动性，(2)雅加达空气污染对Grab摩托车司机和乘客的影响的测量和缓解，以及(3)调查新加坡和马尼拉不同司机策略的有效性。这些活动将为东盟地区和世界各地的城市卫生、国际发展、扶贫和未来工作等主题提供基础研究和可操作的见解，同时还将为整个地区未来的研究建立伙伴关系。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This activity is in response to the NSF Dear Colleague Letter: Supporting Transition of Research into Cities through the US ASEAN (Association of Southeast Asian Nations Cities) Smart Cities Partnership (NSF 20-024), in collaboration with the US Department of State. This project will kickstart a new collaborative research agenda between US researchers, international researchers in Singapore and the Philippines, together with Grab Holdings (Grab); Grab operates a platform for services including ride sharing (both car and motorcycle), food and package delivery, and mobile payments across the entire Southeast Asia region, with hundreds of thousands of drivers having ferried more than three billion rides throughout the company’s lifetime. Leveraging Grab’s vast datasets in Indonesia (Jakarta), the Philippines (Manila), and Singapore, and using complementary datasets collected by the researchers, associated cities, or other sources, the team will make use of statistical “big data” analyses to explore, for example, the impact of the gig economy on the health and wellness of passengers, drivers, and other citizens, as well as on the economic security of gig workers. Grab’s broad scope, crossing regional, national, cultural, religious, rural, and urban boundaries together with wide-ranging services creates an opportunity for engaging with critical social questions relevant across the ASEAN region as well as in cities in the US and globally that rely on the gig economy. Using methods from data science, social network analysis, and natural language processing as well as accompanying in-situ qualitative field investigations, the researchers will engage with Grab drivers and passengers to explore the broader impact of ride sharing in their communities. Specifically, the partners will work towards a set of initial project directions, including (1) the exploration of income mobility on the Grab platform in Manila and Jakarta, (2) the measurement and mitigation of the effects of air pollution on Grab motorcycle taxi drivers and passengers in Jakarta, and (3) the investigation of the efficacy of different driver strategies in Singapore and Manila. These activities will create foundational research and actionable insights into topics that span urban health, international development, poverty alleviation, and the future of work in both the ASEAN region and across the world while also building partnerships for future research throughout the region.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.