Hi. Thank you for your cooperation. در تاریخ چهارشنبه ۱۵ فوریهٔ ۲۰۲۳، ۲۰:۰۲ Emily Lescak <eles...@wikimedia.org> نوشت:
> A reminder that this is starting in about an hour! We hope you can join us! > > Best, > Emily > > On Wed, Feb 8, 2023 at 2:27 PM Emily Lescak <eles...@wikimedia.org> wrote: > >> Hello everyone, >> >> The next Research Showcase will be livestreamed next Wednesday, February >> 15 at 9:30AM PT / 17:30 UTC. The theme is The Free Knowledge Ecosystem. >> >> YouTube stream: https://www.youtube.com/watch?v=8VJmR-3lTac >> >> We welcome you to join the conversation on IRC at #wikimedia-research. >> You can also watch our past research showcases: >> https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase >> >> This month's presentations: >> >> The evolution of humanitarian mapping in OpenStreetMap (OSM) and how it >> affects map completeness and inequalities in OSMBy *Benjamin Herfort, >> Heidelberg Institute for Geoinformation Technology*Mapping efforts of >> communities in OpenStreetMap (OSM) over the previous decade have created a >> unique global geographic database, which is accessible to all with no >> licensing costs. The collaborative maps of OSM have been used to support >> humanitarian efforts around the world as well as to fill important data >> gaps for implementing major development frameworks such as the Sustainable >> Development Goals (SDGs). Besides the well-examined Global North - Global >> South bias in OSM, the OSM data as of 2023 shows a much more spatially >> diverse spread pattern than previously considered, which was shaped by >> regional, socio-economic and demographic factors across several scales. >> Humanitarian mapping efforts of the previous decade have already made OSM >> more inclusive, contributing to diversify and expand the spatial footprint >> of the areas mapped. However, methods to quantify and account for the >> remaining biases in OSM’s coverage are needed so that researchers and >> practitioners will be able to draw the right conclusions, e .g. about >> progress towards the SDGs in cities. >> >> >> Dataset reuseː Toward translating principles to practiceBy *Laura >> Koesten, University of Vienna*The web provides access to millions of >> datasets. These data can have additional impact when used beyond the >> context for which they were originally created. But using a dataset beyond >> the context in which it originated remains challenging. Simply making data >> available does not mean it will be or can be easily used by others. At the >> same time, we have little empirical insight into what makes a dataset >> reusable and which of the existing guidelines and frameworks have an >> impact.In this talk, I will discuss our research on what makes data >> reusable in practice. This is informed by a synthesis of literature on the >> topic, our studies on how people evaluate and make sense of data, and a >> case study on datasets on GitHub. In the case study, we describe a corpus >> of more than 1.4 million data files from over 65,000 repositories. Building >> on reuse features from the literature, we use GitHub’s engagement metrics >> as proxies for dataset reuse and devise an initial model, using deep neural >> networks, to predict a dataset’s reusability. This demonstrates the >> practical gap between principles and actionable insights that might allow >> data publishers and tool designers to implement functionalities that >> facilitate reuse. >> We hope you can join us! >> >> Warm regards, >> Emily >> >> >> -- >> Emily Lescak (she / her) >> Senior Research Community Officer >> The Wikimedia Foundation >> > _______________________________________________ > Wikimedia-l mailing list -- wikimedia-l@lists.wikimedia.org, guidelines > at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and > https://meta.wikimedia.org/wiki/Wikimedia-l > Public archives at > https://lists.wikimedia.org/hyperkitty/list/wikimedia-l@lists.wikimedia.org/message/SP4FQLZCMFONGUT6FZSNIBPTGERSOM2Z/ > To unsubscribe send an email to wikimedia-l-le...@lists.wikimedia.org
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