Recent Submissions to the Social Scientific Research Research Study Network (SSRN)


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

Image by Glenn Carstens-Peters on Unsplash

By Sara Marcucci & & Hannah Chafetz

Sharing the results and searchings for of our study is an important part of our operate at The GovLab. Undoubtedly, that allows us to produce methods for collaboration with other companies and specialists, share our expertise and knowledge with a wider target market, and contribute to the larger area of information governance and cutting-edge civic participation.

In addition to publishing our service our web sites, we additionally aim to honestly share our research through other platforms. This enables us to arrive at a possibly various type of target market, and widen our reach.

One of the opportunities we focus on is the Social Scientific Research Research Study Network (SSRN), an open, on-line platform devoted to distributing academic research around the globe. Over the past few weeks, the Information Program at The GovLab has actually submitted 3 major pieces to SSRN:

  1. Stefaan and Zahuranec, Andrew, The Table Of Elements of Open Data (August 30,2022 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 Review: Assessing the Use of Non-Traditional Information Throughout A Pandemic Situation (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: Checking Out Exactly How Cities Govern AI (November 15,2022 Offered at SSRN: https://ssrn.com/abstract= 4284013

As for the former, the Periodic Table of Open Information is the outcome of an initiative of the Open Data Plan Lab — a cooperation in between The GovLab and Microsoft. The Periodic Table was first released in 2016 Like its previous versions, this new variation classifies the aspects that matter in open information efforts into five classifications: Trouble and Need Definition; Capability and Culture; Administration and Criteria; Worker and Collaborations; and Danger Mitigation. The Table offers links to present research study, examples from the area, and professional input, welcoming specialists to use this paper to promote the success of their open information campaigns or otherwise minimize their dangers.

The #Data 4 COVID 19 Testimonial is a study report developed with the assistance of the Knight Foundation. The report evaluates if and exactly how Non-Traditional Data (NTD) was used during the COVID- 19 pandemic and offers support for just how future data systems might be better employed in future dynamic dilemmas. The Review does this with four rundowns that file and examine the most noticeable uses NTD throughout COVID- 19 : health, mobility, financial, and sentiment analysis. These four uses were synthesized from an analysis of The GovLab’s #Data 4 COVID 19 Information Collective Repository — a crowdsourced listing of nearly 300 information collaboratives , competitions, and data-driven initiatives that aimed to deal with the pandemic response.

Lastly, the AI Localism report improve previous work done by the AI Localism job. AI Localism, a term created by Stefaan Verhulst and Mona Sloane , refers to the activities taken by regional decision-makers to attend to making use of AI within a city or community. It looks for to load spaces left by administration at the nationwide degree as well as by the economic sector. The AI Localism report, after that, intends to serve as a primer for policymakers and practitioners to discover existing governance techniques and motivate their own work in the field. In this record, we offer the principles of AI administration , the worth recommendation of such efforts, and their application in cities around the world to determine styles among city- and state-led governance activities. The record gathers 10 lessons on AI Localism for policymakers, data, AI experts, and the informed public to keep in mind as cities grow increasingly ‘smarter’.

In 2023, we wish to continue broadening our initiatives and sharing the outcomes of our job worldwide, teaming up with others and contributing to the ever-evolving field of data governance.

We invite anyone with additional questions or remarks to reach out to us specifically at [email protected].

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