{"type":"ScholarlyArticle","title":"Design of a Data-driven Intervention Dashboard for SDG Localization","authors":[{"name":"Pooja Bassin","slug":"pooja-bassin","given":"Pooja","family":"Bassin","affiliation":"International Institute of Information Technology Bangalore , India"},{"name":"Abraham G K","slug":"abraham-g-k","given":"Abraham","family":"G K","affiliation":""},{"name":"Srinath Srinivasa","slug":"srinath-srinivasa","given":"Srinath","family":"Srinivasa","affiliation":"International Institute of Information Technology Bangalore , India"}],"abstract":"The localization problem of the United Nations Sustainable Development Goals (SDGs) involves adopting strategies that are in tune with local conditions, to achieve a given SDG target. However, even within a given region, localized conditions may vary drastically. With increasing amounts of Open Government Data (OGD) being available, there is an opportunity to systematically address the localization problem by using predictive and prescriptive modeling techniques. This work presents a predictive and prescriptive modeling dashboard for the SDG indicator maternal deaths (MD) for the Indian state of Karnataka. The dashboard was created by examining a vast set of data points to focus on four factors that showed high correlations with that of MD. We then construct a multivariate linear regression model to showcase the differential impact that a given factor has on the indicator and identify prescribed values for different factors to achieve a given target value of the indicator. Finally, a budget allocation dashboard is also provided that helps policymakers allocate budgets to specific schemes to help operationalize these changes. This dashboard was built by combining data coming from five different OGD sources.","doi":"10.24963/ijcai.2024/990","url":"https://ijcai.org/proceedings/2024/990","pdf":"https://ijcai.org/proceedings/2024/0990.pdf","markdown":"https://ijcai.org/proceedings/2024/990.md","bibtex":"https://ijcai.org/proceedings/2024/bibtex/990","volume":{"slug":"2024","title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2024","url":"https://ijcai.org/proceedings/2024/","year":2024,"location":"Jeju, Korea","dates":"3-9 August 2024","editors":"Kate Larson","isbn":"978-1-956792-04-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2024"},"section":"Demo Track","track":"Demo Track","number":990,"pages":{"first":8606,"last":8609},"keywords":["Machine Learning: ML: Regression","Multidisciplinary Topics and Applications: MDA: Social sciences","Data Mining: DM: Data visualization","Multidisciplinary Topics and Applications: MDA: Energy, environment and sustainability","Machine Learning: ML: Applications"],"videos":[],"references":[{"position":1,"raw":"[Arsenault et al., 2017] Catherine Arsenault, Sam Harper, Arijit Nandi, José M Mendoza Rodríguez, Peter M Hansen, and Mira Johri. 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In International Conference on Big Data Analytics, pages 3- 15. Springer, 2021.","title":"Big data management for policy support in sustainable development","authors":"Pooja Bassin, Niharika Sri Parasa, Srinath Srinivasa, Sridhar Mandyam","year":"2021","venue":"International Conference on Big Data Analytics","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Bassin, 2022] Pooja Bassin. Network learning on open data to aid policy making. In Sebastian Link, Iris Reinhartz- Berger, Jelena Zdravkovic, Dominik Bork, and Srinath Srinivasa, editors, Proceedings of the ER Forum and PhD Symposium 2022 co-located with 41st International Con- ference on Conceptual Modeling (ER 2022), Virtual Event, Hyderabad, India, October 17, 2022, volume 3211 of CEUR Workshop Proceedings. CEUR-WS.org, 2022.","title":"Network learning on open data to aid policy making","authors":"Pooja Bassin","year":"2022","venue":"Proceedings of the ER Forum and PhD Symposium 2022 co-located with 41st International Conference on Conceptual Modeling (ER 2022), Virtual Event","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Bissio and Watch, 2016] Roberto Bissio and Social Watch. Towards a 2030 agenda dashboard. Spotlight on Sustain- able Development, page 148, 2016.","title":"Towards a 2030 agenda dashboard","authors":"Roberto Bissio, Social Watch","year":"2016","venue":"Spotlight on Sustainable Development","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Canepa et al., 2022] Maria Canepa, Adriano Magliocco, and Nicola Pisani. Data visualization and web-based map- ping for sgds and adaptation to climate change in the urban environment. In International Conference on Technologi- cal Imagination in the Green and Digital Transition, pages 715-724. Springer, 2022.","title":"Data visualization and web-based mapping for sgds and adaptation to climate change in the urban environment","authors":"Maria Canepa, Adriano Magliocco, Nicola Pisani","year":"2022","venue":"International Conference on Technological Imagination in the Green and Digital Transition","doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[Garwood et al., 2020] Kathleen Campbell Garwood, David Steingard, and Marcello Balduccini. Dynamic collabora- tive visualization of the united nations sustainable devel- opment goals (sdgs): Creating an sdg dashboard for report- ing and best practice sharing. 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Localizing the sustainable development goals to accelerate implementation of the 2030 agenda for sustainable development: The current state of sustainable development goal localization in asia and the pacific","authors":"Oosterhof","year":"2018","venue":null,"doi":null,"url":null,"internal_url":null},{"position":9,"raw":"[Rachuri et al., 2023] Sowmith Nandan Rachuri, Arpitha Malavalli, Niharika Sri Parasa, Pooja Bassin, and Srinath Srinivasa. Modeling the impact of policy interventions for sustainable development. 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Effective dash- boards for urban water security monitoring and evaluation. International Journal of Electrical & Computer Engineer- ing (2088-8708), 13(4), 2023.","title":"Effective dashboards for urban water security monitoring and evaluation","authors":"Zada Qusyairin, Mohd Zainuddin, Farashazillah Yahya, Ervin Gubin Moung, Bashirah Mohd Fazli, Mohammad Fikry, Abdullah","year":"2023","venue":"International Journal of Electrical & Computer Engineering","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}