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محتوای ارائه شده توسط MERICS. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط MERICS یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Open-source data in China research, with Emile Dirks

19:24
 
اشتراک گذاری
 

Manage episode 324324656 series 1051151
محتوای ارائه شده توسط MERICS. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط MERICS یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

In the last couple of years, it has become increasingly difficult for foreign researchers to access China, and even more difficult to conduct critical field research. One of the few channels for empirical data that is left to China watchers is open-source data, which has become an essential resource, especially on politically more sensitive topics.
To talk about open-source data research, how it works, why it matters and what it means for the future of China watching we are joined by Emile Dirks. He is a PhD candidate in the Department of Political Science at the University of Toronto and the Futures Fellow here at MERICS. His research focuses on China civil society, human rights, censorship and state surveillance.
Emile is one of the creators of the China drug, crime and detention database, an extensive collection of open-source resources on crime into judiciary in China, and co-author of a report with the Australian Strategic Policy Institute on Genomic Surveillance in China, detailing findings about the Chinese government's forensic DNA database. Questions asked by Jonas Schneider.

  continue reading

فصل ها

1. Open-source data in China research, with Emile Dirks (00:00:00)

2. Introduction to open-source research (00:02:08)

3. How to find open-source data? (00:03:54)

4. What types of data can be found? (00:07:16)

5. Politically sensitve open-source data (00:08:59)

6. How to verify open-source data? (00:13:22)

7. Will open-source data research replace field research? (00:16:31)

252 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 324324656 series 1051151
محتوای ارائه شده توسط MERICS. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط MERICS یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

In the last couple of years, it has become increasingly difficult for foreign researchers to access China, and even more difficult to conduct critical field research. One of the few channels for empirical data that is left to China watchers is open-source data, which has become an essential resource, especially on politically more sensitive topics.
To talk about open-source data research, how it works, why it matters and what it means for the future of China watching we are joined by Emile Dirks. He is a PhD candidate in the Department of Political Science at the University of Toronto and the Futures Fellow here at MERICS. His research focuses on China civil society, human rights, censorship and state surveillance.
Emile is one of the creators of the China drug, crime and detention database, an extensive collection of open-source resources on crime into judiciary in China, and co-author of a report with the Australian Strategic Policy Institute on Genomic Surveillance in China, detailing findings about the Chinese government's forensic DNA database. Questions asked by Jonas Schneider.

  continue reading

فصل ها

1. Open-source data in China research, with Emile Dirks (00:00:00)

2. Introduction to open-source research (00:02:08)

3. How to find open-source data? (00:03:54)

4. What types of data can be found? (00:07:16)

5. Politically sensitve open-source data (00:08:59)

6. How to verify open-source data? (00:13:22)

7. Will open-source data research replace field research? (00:16:31)

252 قسمت

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