$8000大奖揭晓|RMDS和洛杉矶市府合办疫情数据科学竞赛,所有成果免费查看!
发布时间:2020-09-09 浏览:0

 

RMDS与洛杉矶市府联合举办的 “2020新冠疫情数据科学挑战赛”,历时近1个月,于上周五正式落下帷幕!

 

来自亚洲、欧洲、非洲、北美洲的408名参赛者,包括高中生、大学生及职场从业者,利用两周的时间为洛杉矶制定疫情风险评估方案,最后提交了24份项目成果。

 

 

 

 

目前正值加州及洛杉矶逐步重新开放的阶段,为了复苏经济而又遏制疫情,洛杉矶迫切需要采用更多数据驱动的创新方法来帮助居民根据风险来规划出行与工作。

 

然而,由于尊重个人隐私,接触者追踪不易在洛杉矶开展。因此,随着目前社交距离的逐步放宽,控制疫情更加需要风险评估和创新管理方法。

 

 

 

本次RMDS与洛杉矶市府合办的“2020新冠疫情数据科学竞赛”就以用寻求风险控制的解决方案为目标,借助数据驱动的风险控制来协助洛杉矶重启,将对洛杉矶未来的重启工作带来巨大的帮助!

 

这是一次让数据科学和人工智能直接产生实际效益、服务社会的创新之举!

 

上周,RMDS联合Chamber of Commerce,City and County of LA 和学术界的12名专家组成评委席,对比赛提交的成果报告进行了为期4天的评估。

 

那么,究竟是哪支团队能脱颖而出?

 

哪个方案会被洛杉矶政府直接投入使用呢?

 

2020 新冠疫情数据科学竞赛

 

结果揭晓!

 

上周五,RMDS为所有参赛者举办了线上颁奖仪式,并邀请到了来自洛杉矶市政府、Sategraph、snowflake的嘉宾致辞和颁奖。

 

 

 

Jeanne Holm

Chief Data Officer at City of LA

 

 

Eva Pereira

 Deputy Chief Data Officer at City of LA

 

 

Ross Epstein

 Chief of Staff at Safegraph

 

 

Nicolle Wilson

Account Executive at Snowflake

 

恭喜以下获奖团队!

 

第一名  Team USC_ANRG

 

"We developed a rigorous hybrid model-and-data-driven Bayesian approach to risk scoring based on a time-varying SIR epidemic model that yields a simplified color-coded risk level for each community. The risk score corresponds to the probability of someone currently healthy getting infected with COVID-19 in the near future. Code and data from our effort have been open-sourced."

 

第一名的队伍由南加州大学维特比工程学院的几位博士后、博士和研究学者强强联手。

 

 

并列第二名  Team当代李时珍

 

"We assessed the risk index of COVID-19 infection in Los Angeles at different stages of reopening by constructing a multi-indicator evaluation system, and finally proposed epidemic prevention recommendations for the government and communities of Los Angeles."

 

“当代李时珍” 是中国浙江大学和美国密西根大学的跨国组合,由洛杉矶市副市长 Sangalang 亲自发奖。

 

 

 

并列第二名   Team RPI Solver

 

"We developed a mathematical model to evaluate the location-based risk related to COVID-19 for places in the city of LA. The data comes from SafeGraph and open data portals. Finally, we generated risk scores for 30,864 different places, such as grocery stores, clothing stores, Gasoline stations, etc."

 

 

Team RPI Solver还在颁奖仪式上介绍了他们的风险评估项目。

 

 

并列第二名  Team DSO

 

"COVID-19 has quickly upended daily life in Los Angeles. Using data science, we may be able to predict when and where the risk of contracting COVID-19 is highest. This would allow citizens to go about their lives normally when it is safe to do so and shelter-in-place less often only when needed. The basic idea behind our risk scores was to attempt to predict the number of new infections in a given neighborhood on a given day. If predicted new infections per capita are high, then we deem the risk of contracting COVID-19 on that day in that neighborhood high."

 

由成员Greg Faletto分享他们的项目成果,他目前在南加州大学攻读数据科学与运营的博士学位。

 

 

最佳应用奖  The Padron Peppers

 

"The purpose of this project was (1) to evaluate disparities in socioeconomic factors across LA County neighborhoods using the community need index (CNI), (2) to study the role these disparities might have played in the spread of COVID-19 based on the count of positive cases, and (3) to develop an application to help users evaluate the risk of leaving their home based on a personal risk profile, a neighborhood-based risk profile, and an activity-based risk profile (i.e. risks associated with the type of activity, getting to activity, and location of activity)."

 

 

 

有趣的是,这一支团队是由Prayaga家庭组队参加的,其中父母是首席技术官和行为数据科学主任,贡献了最具应用价值的风险评估方案。

 

 

成长之星奖  Team HDMA

 

"My project uses population, case rate, death rate, and elderly population to determine the risk scores of neighborhoods in the Los Angeles County area. It also makes a projection for the total deaths and infections for Los Angeles County in the coming weeks and using the risk scores found, can extrapolate if a given neighborhood will have an above-average or below-average death and case total in the coming weeks."

 

 

 

实际上,HMDA的成员仅为硅谷高中生Daniel Kao一人,未来可期啊!

 

 

 

最终的优胜方案将由洛杉矶市与RMDS快速投入使用,将在grmds.org平台上推出风险评估平台,免费供公众使用,协助洛杉矶市民根据风险来规划出行与工作。洛杉矶郡和一些技术公司也将支持方案的执行。

 

 

本次竞赛,RMDS得到了来自洛杉矶市府及其他多家组织的大力支持。

 

我们为所有参赛者准备了丰厚的福利和奖品,不仅有奖金、证书等实物奖品,还有杂志发表、实习offer等福利,恭喜各位参赛者和优胜团队!

 

获奖队伍将获得超过 8000 美元的现金奖励

 

赢得来自洛杉矶市政府、UCLA Computational Medicine及其他合作伙伴的实习offer

 

通过一对一导师制,参与者能与数据科学领域的高管们交流,竞赛共计有48位导师参与

 

优胜者的成果报告将被推荐发表在Harvard Data Science Review杂志

 

凡是提交成功的参赛者均能得到官方证书

 

优胜团队将被邀请至RMDS 年度峰会IM DATA上公开展示

 

官方证书样式如下:

 

 

 

今年11月2-3日,RMDS将举办为期两天的IM DATA年度峰会。由于疫情影响,今年将以在线直播的方式进行,包括专业演讲、主题论坛、会前培训、职业招聘等各个环节。

 

 

 

今年IM DATA特地开辟了新冠疫情研究的专题。届时,不仅有全世界来自美洲、欧洲、北非、亚洲等地区的专家学者围绕数据科学、人工智能、深度学习、疫情研究等不同主题进行专业分享;

 

 

 

我们还会再次邀请本次竞赛的获奖团队进行成果展示,欢迎大家共同观看!

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