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Ugochi Okengwu

Dr. Ugochi Adaku Okengwu, Associate Professor of Computer Science at the department of Computer Science, University of Port Harcourt (UNIPORT). She has received research awards to develop a predictive model that will determine the best location to build a new hospital, sponsored by TWAS-DFG. Presently developing a sentiment analysis to determine the polarity of climate change textual data in Nigeria specifically Niger Delta region sponsored by UMAPS-University of Michigan. She is a Zonal coordinator and member of the Organization of Women in Science for the Developing World (OWSD), and also a member of the Association of Advancement of Artificial Intelligence (AAAI), the Association for Computing Machinery (ACM). She received a scholarship for Artificial Intelligence for Development in Africa (AI4D) to develop and deploy an AI-based system that will predict tomato leaf virus diseases sponsored by IDRC and SIDA, which will help farmers in Nigeria. My research is centered on using AI models to solve complex problems. My specific interest in joining the EOSC-Future / RDA Artificial Intelligence and Data Visitation Working Group (AIDV-WG) is to be able to generate climate datasets around Nigeria with sensors and equally combine them with satellite data available so as to develop a time series model that will forecast the impact of climate change in Nigeria by 2030. This will enable me to contribute to the Open Science initiative and enhance the SDGs goals by making the dataset collected and model developed and deployed accessible for interdisciplinary research, which will contribute to climate change positive solutions in Nigeria, West Africa.

Maintenance Group
Stage: Completed
Secretariat Liaison: Bridget Walker
TAB Liaison: Anupama Gururaj
Mission The mission of the AIDV-WG is to contribute to building the ethical, legal, social, and technical frameworks for Artificial Intelligence while examining the potential of data visitation to bri...
Working Group
Stage: Not Yet Endorsed
Secretariat Liaison: Bridget Walker
AI agents are moving quickly from prototype to production, but the organizations holding sensitive and restricted research data have no shared way to decide whether they are ready to deploy them. Agen...
Interest Group
Stage: IG Established
TAB Liaison: Noel Chibhira
This Interest Group will continue the work of the now completed RDA/CODATA Summer Schools in Data Science and Cloud Computing in the Developing World Working Group. The ever-accelerating volume and va...
Working Group
Stage: WG Wrapping up
Chair(s): Connie Clare
⭐️ Overview See all working group sessions dates and times below The Data Director Agentic AI Blueprint Working Group is a time-bound, eight-week initiative convened by the Research Data Alliance ...
Working Group
Stage: WG Wrapping up
Secretariat Liaison: Bridget Walker
TAB Liaison: Louise Bezuidenhout
The problem addressed Agricultural data span from field and farm data to scientific and research data to agricultural market data etc. These data are key in fundamental public-good level contexts: foo...
Coordination Group
This is a group dedicated to all the Working and Interest Group Chairs ‘RDA Technical Advisory Board (TAB) Meets Chairs’ Meetings The TAB meets chairs meetings provide RDA group chairs wit...