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Feature Episode: Using African Policy Data to Monitor Trends in Public Policy: Webinar Q and A Session

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Content provided by Training Centre in Communication (TCC Africa). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Training Centre in Communication (TCC Africa) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This episode features recordings from the webinar themed, 'Using African Policy Data to monitor trends in Public Policy', featuring public policy thinktanks ⁠⁠⁠⁠Kenya Institute for Public Policy Research and Analysis (KIPPRA)⁠⁠⁠⁠, ⁠⁠⁠⁠African Technology Policy Studies Network (ATPS)⁠⁠⁠⁠ , Digital Sciences' ⁠⁠⁠⁠Altmetric⁠⁠⁠⁠ and ⁠⁠⁠⁠Training Centre in Communication (TCC Africa)⁠⁠⁠⁠. Participants raise critical questions pertaining to the role of data ethics in policy research, how AI tools can mitigate cultural biases in policy analysis, and the future of open science in Africa. Episode Highlights (00:01:15) Dr. Situma raises ethical concerns about data collection, emphasizing the need for ethical considerations and vetting data for reliability. He questions the responsibility of data hosts like KIPPRA.

(00:04:37) Dr. Nicholas Ozor, Executive Director of ATPS, discusses the effectiveness of established policy analysis models and introduces AI and machine learning for accommodating dynamic changes in socioeconomic and cultural factors. He highlights the importance of historical data in predictive modeling.

(00:07:15) Mr. Mike Taylor from Digital Science addresses AI biases, particularly language dominance, and advocates for diverse perspectives in AI-driven African policy analysis. He emphasizes the importance of publishing research in accessible formats.

(00:11:32) Ms. Joy Owango from TCC Africa highlights the importance of data accessibility and AI's role in data sharing. She mentions initiatives like Digital Science's collaboration with African governments and the Open Infrastructure Program's efforts to enhance data accessibility through DOIs.

Ozor, N., Moyi, E., Taylor, M., & Owango, J. (2023). Using African Policy Data to Monitor trends in Public Policy. TCC Africa. ⁠https://doi.org/10.21428/359fb1d2.ff83ac50⁠

Follow Training Centre in Communication (TCC Africa) on:

Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/tccafrica⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Facebook:⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/tccafrica⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/training-centre-in-communication/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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51 episodes

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Manage episode 378240531 series 3450840
Content provided by Training Centre in Communication (TCC Africa). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Training Centre in Communication (TCC Africa) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This episode features recordings from the webinar themed, 'Using African Policy Data to monitor trends in Public Policy', featuring public policy thinktanks ⁠⁠⁠⁠Kenya Institute for Public Policy Research and Analysis (KIPPRA)⁠⁠⁠⁠, ⁠⁠⁠⁠African Technology Policy Studies Network (ATPS)⁠⁠⁠⁠ , Digital Sciences' ⁠⁠⁠⁠Altmetric⁠⁠⁠⁠ and ⁠⁠⁠⁠Training Centre in Communication (TCC Africa)⁠⁠⁠⁠. Participants raise critical questions pertaining to the role of data ethics in policy research, how AI tools can mitigate cultural biases in policy analysis, and the future of open science in Africa. Episode Highlights (00:01:15) Dr. Situma raises ethical concerns about data collection, emphasizing the need for ethical considerations and vetting data for reliability. He questions the responsibility of data hosts like KIPPRA.

(00:04:37) Dr. Nicholas Ozor, Executive Director of ATPS, discusses the effectiveness of established policy analysis models and introduces AI and machine learning for accommodating dynamic changes in socioeconomic and cultural factors. He highlights the importance of historical data in predictive modeling.

(00:07:15) Mr. Mike Taylor from Digital Science addresses AI biases, particularly language dominance, and advocates for diverse perspectives in AI-driven African policy analysis. He emphasizes the importance of publishing research in accessible formats.

(00:11:32) Ms. Joy Owango from TCC Africa highlights the importance of data accessibility and AI's role in data sharing. She mentions initiatives like Digital Science's collaboration with African governments and the Open Infrastructure Program's efforts to enhance data accessibility through DOIs.

Ozor, N., Moyi, E., Taylor, M., & Owango, J. (2023). Using African Policy Data to Monitor trends in Public Policy. TCC Africa. ⁠https://doi.org/10.21428/359fb1d2.ff83ac50⁠

Follow Training Centre in Communication (TCC Africa) on:

Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/tccafrica⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Facebook:⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/tccafrica⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/training-centre-in-communication/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

  continue reading

51 episodes

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