Current Entries to the Social Scientific Research Study Network (SSRN)


A wrap-up of the Data Program group’s work in the SSRN

Photo by Glenn Carstens-Peters on Unsplash

By Sara Marcucci & & Hannah Chafetz

Sharing the results and findings of our research is an important part of our operate at The GovLab. Undoubtedly, that permits us to produce methods for partnership with various other organizations and specialists, share our understanding and competence with a more comprehensive target market, and add to the wider field of data governance and innovative civic engagement.

In addition to releasing our work with our websites, we also aim to honestly disseminate our research study via other systems. This allows us to reach a potentially different type of audience, and broaden our reach.

One of the methods we prioritize is the Social Scientific Research Research Network (SSRN), an open, online platform dedicated to sharing academic research worldwide. Over the past few weeks, the Information Program at The GovLab has submitted three major items to SSRN:

  1. Stefaan and Zahuranec, Andrew, The Table Of Elements of Open Data (August 30,2022 Readily available at SSRN: https://ssrn.com/abstract= 4250347 or http://dx.doi.org/ 10 2139/ ssrn. 4250347
  2. Chafetz, Hannah and Zahuranec, Andrew and Marcucci, Sara and Davletov, Behruz and Verhulst, Stefaan, The #Data 4 COVID 19 Evaluation: Analyzing the Use of Non-Traditional Information During A Pandemic Crisis (October 31,2022 Available at SSRN: https://ssrn.com/abstract= 4273229 or http://dx.doi.org/ 10 2139/ ssrn. 4273229
  3. Marcucci, Sara and Kalkar, Uma and Verhulst, Stefaan, AI Localism in Practice: Examining Just How Cities Govern AI (November 15,2022 Offered at SSRN: https://ssrn.com/abstract= 4284013

As for the previous, the Periodic Table of Open Data is the result of an effort of the Open Information Policy Lab — a collaboration in between The GovLab and Microsoft. The Table of elements was initial launched in 2016 Like its previous iterations, this brand-new variation classifies the aspects that matter in open data efforts right into 5 categories: Issue and Need Meaning; Capability and Culture; Governance and Criteria; Employee and Collaborations; and Risk Mitigation. The Table offers web links to present study, examples from the field, and specialist input, inviting practitioners to utilize this file to promote the success of their open information campaigns or otherwise alleviate their risks.

The #Data 4 COVID 19 Review is a research report established with the support of the Knight Foundation. The record assesses if and exactly how Non-Traditional Data (NTD) was utilized throughout the COVID- 19 pandemic and gives assistance for exactly how future information systems may be more effectively utilized in future vibrant crises. The Testimonial does this with four instructions that record and evaluate the most prominent uses of NTD throughout COVID- 19 : wellness, mobility, financial, and belief evaluation. These 4 usages were synthesized from an assessment of The GovLab’s #Data 4 COVID 19 Information Joint Repository — a crowdsourced listing of almost 300 information collaboratives , competitors, and data-driven efforts that intended to resolve the pandemic response.

Finally, the AI Localism report builds on previous job done by the AI Localism job. AI Localism, a term created by Stefaan Verhulst and Mona Sloane , refers to the activities taken by neighborhood decision-makers to address making use of AI within a city or area. It seeks to load spaces left by governance at the nationwide degree in addition to by the economic sector. The AI Localism record, after that, intends to serve as a guide for policymakers and practitioners to learn more about existing governance practices and inspire their very own operate in the area. In this record, we present the basics of AI administration , the value proposal of such initiatives, and their application in cities around the world to determine motifs amongst city- and state-led administration activities. The report gathers ten lessons on AI Localism for policymakers, information, AI specialists, and the notified public to bear in mind as cities grow increasingly ‘smarter’.

In 2023, we hope to proceed expanding our initiatives and sharing the outcomes of our work around the world, teaming up with others and contributing to the ever-evolving area of data governance.

We welcome any person with further inquiries or comments to connect to us especially at [email protected].

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