Current Submissions to the Social Science Research Study Network (SSRN)


A wrap-up of the Information Program group’s operate in the SSRN

Picture by Glenn Carstens-Peters on Unsplash

By Sara Marcucci & & Hannah Chafetz

Sharing the results and searchings for of our study is a crucial part of our work at The GovLab. Indeed, that enables us to produce opportunities for partnership with various other companies and experts, share our expertise and competence with a broader target market, and contribute to the wider area of information governance and ingenious public participation.

In addition to publishing our service our internet sites, we also aim to freely disseminate our research study through various other platforms. This allows us to reach a possibly different kind of target market, and broaden our reach.

Among the opportunities we prioritize is the Social Science Research Network (SSRN), an open, on-line platform devoted to disseminating academic research study worldwide. Over the past few weeks, the Data Program at The GovLab has sent three significant items to SSRN:

  1. Stefaan and Zahuranec, Andrew, The Periodic Table of Open Information (August 30,2022 Offered 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 Review: Analyzing the Use of Non-Traditional Data During A Pandemic Crisis (October 31,2022 Readily 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 Technique: Examining Just How Cities Govern AI (November 15,2022 Readily available at SSRN: https://ssrn.com/abstract= 4284013

When it comes to the previous, the Periodic Table of Open Information is the result of an effort of the Open Data Policy Lab — a collaboration in between The GovLab and Microsoft. The Table of elements was first released in 2016 Like its previous models, this brand-new variation categorizes the components that matter in open information efforts into 5 categories: Issue and Need Interpretation; Capacity and Society; Governance and Standards; Personnel and Partnerships; and Threat Mitigation. The Table gives web links to present research study, instances from the field, and professional input, inviting practitioners to use this file to advertise the success of their open information initiatives or otherwise mitigate their dangers.

The #Data 4 COVID 19 Review is a research study report created with the support of the Knight Foundation. The record analyzes if and exactly how Non-Traditional Data (NTD) was used throughout the COVID- 19 pandemic and provides assistance for just how future information systems might be more effectively used in future dynamic crises. The Testimonial does this with four briefings that record and assess the most popular uses NTD during COVID- 19 : health, mobility, financial, and belief evaluation. These 4 uses were synthesized from an analysis of The GovLab’s #Data 4 COVID 19 Data Collective Repository — a crowdsourced list of virtually 300 data collaboratives , competitions, and data-driven efforts that aimed to deal with the pandemic action.

Finally, the AI Localism report improve previous job done by the AI Localism job. AI Localism, a term coined by Stefaan Verhulst and Mona Sloane , refers to the activities taken by local decision-makers to resolve using AI within a city or neighborhood. It looks for to fill spaces left by governance at the national degree in addition to by the economic sector. The AI Localism report, then, intends to function as a primer for policymakers and specialists to learn about current administration practices and motivate their own operate in the area. In this record, we provide the basics of AI governance , the value recommendation of such efforts, and their application in cities around the world to identify styles among city- and state-led administration activities. The record gathers 10 lessons on AI Localism for policymakers, information, AI specialists, and the educated public to keep in mind as cities grow increasingly ‘smarter’.

In 2023, we wish to continue expanding our efforts and sharing the results of our work internationally, collaborating with others and adding to the ever-evolving field of information administration.

We invite any person with more inquiries or remarks to reach out to us particularly at [email protected].

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