Event Details

Many of you joined our recent programme on what comes next for Omicron in Asia. There were a number of remaining questions for Dr Jian Chen about China's covid policy at the end of the session and so we are convening a follow up conversation with him this Thursday 19 May at 17:00. Dr Chen is the CEO of CreditWise Technologies Ltd, recently created the Covid-19 Global Risk Index together with Dr Zhang Wenhong of Huashan Hospital, and has been consulting as a data scientist with Shanghai's Covid response team throughout the pandemic. He'll share some of his forecasting for bringing the outbreak in Shanghai under control and offer thoughts on what we might see in terms of policy adjustments in the coming months.

This will be an interactive Zoom session to allow for direct exchange with Dr Chen and also among members. We hope you will join us.

Please note that this event is limited to senior-level executives and per invitation only. If you are not an existing member of The Economist Intelligence Corporate Network, but would like to learn how you can attend our events, please contact us.


  • Mattie Bekink (China Director of The Economist Intelligence Corporate Network)

    Mattie Bekink

    China Director of The Economist Intelligence Corporate Network

    Mattie Bekink is responsible for the Economist Intelligence Corporate Network’s China strategy, including programme development and client engagement across China.

    Ms Bekink has extensive experience in the public, private and policy sectors. Prior to joining The Economist Group, she was the Executive Director of the Fulbright Commission in the Netherlands. She also ran an eponymous consulting business, advising businesses, universities and non-profit organisations on China policy, strategy, public affairs, and CSR. Ms Bekink practiced law at Skadden, Arps, Slate, Meagher & Flom LLP, has worked with the US-Asia Law Initiative at NYU Law School and the American Bar Association Rule of Law Initiative China Program, and served in the legal department at General Motors China.

    Ms Bekink has a BA in International Relations from Stanford University and a JD from the Georgetown University Law Center.

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  • Jian Chen (CEO of CreditWise Technology)

    Jian Chen

    CEO of CreditWise Technology

    Dr. Jian Chen is the founder and CEO of CreditWise Technologies, Co. Ltd. He also serves as the senior advisor of Caixin Insight Group, a prestigious think tank in China. He previously held the positions of Managing Partner of RQuest Financial Services Group, Managing Director in IFE Group, Risk Modeling Director in Freddie Mac, Director of Credit Risk Management in Fannie Mae. He recently created the COVID-19 Global Risk Index (http://covid19-risk-index.com/) to assess the risk of each country in the pandemic, together with Dr. Zhang, Wenhong of Huashan Hospital.

    Dr. Chen currently holds the academic position of adjunct professor of real estate finance at Fudan university, a senior research fellow at Shanghai Institute of Advanced Finance (SAIF). He also serves as the visiting professor of PKU-Fordham joint PhD program. He previously served as an adjunct professor at Johns Hopkins Carey Business School, where he taught MBA-level finance courses. Dr. Chen’s academic research interests include discrete event modeling, real estate finance and economics, fixed income securities pricing & hedging, consumer behavior modeling, and quantitative risk management.

    Dr. Chen writes column articles for several prominent Chinese newspaper and periodicals, including Wenhui Bao, South Reviews Magazine, CAIXIN Media. Dr. Chen has his BS in EE from Xi’an Jiaotong University, his MS in EE from Shanghai Jiaotong University, and his Ph.D. in Management Science with concentration on Computational Finance, from Robert H. Smith School of Business, University of Maryland at College Park.

    Dr. Chen recently applied the quantitative model of credit risk analysis for the prediction of COVID-19 outbreaks. This approach is proven to be more robust, flexible, and accurate than most traditional epidemiological models. This new approach applies state transition matrix techniques in coronavirus infection and treatment predictions. The key innovation is trifold: 1. It is a flexible model which can predict the intermediate states; 2. It doesn't need too much parameter estimation and is mainly driven by empirical probabilities; 3. It treats all the government preventive measures as embedded in the observed probabilities. Thus, this model greatly improves the predictive power.

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