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OpenIllinois: An Information System for Transparency in Illinois State Electoral Finances

Published: 14 September 2022 Publication History

Abstract

Governments have pursued political transparency through open data availability; however, even with these barriers addressed most people cannot make use of raw data. To address this issue we designed and created a platform that does data analytics in the realm of political campaign contributions in Illinois. Through this work, we will show that we should be developing tools to enable not just open data, but rather open information

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Federal Election Commission 2021. Campaign finance data. https://www.fec.gov/data/
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Marijn Janssen, Yannis Charalabidis, and Anneke Zuiderwijk. 2012. Benefits, adoption barriers and myths of open data and open government. Information systems management 29, 4 (2012), 258–268.
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Stephen Kozlowski, Hussein Issa, and Deniz Appelbaum. 2018. Making government data valuable for constituents: The case for the advanced data analytics capabilities of the ENHANCE framework. Journal of Emerging Technologies in Accounting 15, 1(2018), 155–167.
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Margaret B Kwoka. 2015. Foia, Inc.Duke LJ 65(2015), 1361.
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Andong Luis Li Zhao, Andrew Paley, Rachel Adler, Harper Pack, Sergio Servantez, Alexander Einarsson, Cameron Barrie, Marko Sterbentz, and Kristian Hammond. 2021. Requirements for Open Political Information: Transparency Beyond Open Data. arXiv preprint arXiv:2112.03119(2021).
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Ricardo Matheus and Marijn Janssen. 2020. A systematic literature study to unravel transparency enabled by open government data: The window theory. Public Performance & Management Review 43, 3 (2020), 503–534.
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Anastasija Nikiforova and Keegan McBride. 2021. Open government data portal usability: A user-centred usability analysis of 41 open government data portals. Telematics and Informatics 58 (2021), 101539.
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Andrew Paley, Andong L Li Zhao, Harper Pack, Sergio Servantez, Rachel F Adler, Marko Sterbentz, Adam Pah, David Schwartz, Cameron Barrie, Alexander Einarsson, 2021. From data to information: automating data science to explore the US court system. In Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law. 119–128.
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Vote Smart 2021. The Voter’s Self Defense System. http://votesmart.org

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dg.o '22: Proceedings of the 23rd Annual International Conference on Digital Government Research
June 2022
499 pages
ISBN:9781450397490
DOI:10.1145/3543434
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 September 2022

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  1. data analytics automation
  2. transparency

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dg.o 2022

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Overall Acceptance Rate 150 of 271 submissions, 55%

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