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ENABLING DATA REVOLUTION

dLab empowers youth and entrepreneurs to innovate using data, fostering data literacy and meaningful citizen action. Through partnerships and activities like training and awareness campaigns, it supports local data champions and enhances data use for decision-making. Its outcomes include defining national monitoring frameworks and sharing impactful data use stories.

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ENABLING DATA REVOLUTION

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  1. ENABLING DATA REVOLUTION CHARLES BUNDU

  2. What is dLab? DCLI Program Identifying, networking and supporting youth and entrepreneurs to create data-driven innovations for real life problems Promoting innovation and data literacy through a premier center of excellence (UDSM, ODI, IntraHealth, SBC4D) Making data meaningful and accessible to spark citizen action at the community level Tanzania Data Lab (dlab) is an open working space where data from multiple sectors and sources can be combined, processed, and shared to drive better policies and decision-making. It serves as an anchor for Data Collaboratives for Local Impact (DCLI) program, enabling data analysis, and use to become more prominent in decision making in Tanzania.

  3. dLab Activities dLab Pillars dLab carries its activities through various pillars in the project Training Builds local capacity & supports data champions; → Face to Face Trainings → On-line Trainings → Women in data campaigns → Supporting Universities Engagement Awareness raising and building linkages with data communities through; → Round-tables → Workshops → Mapathons → Hackathons → Follow up visits → Creating Partnerships Resources & Data Science Support organizations to increase their performances through improved data use and contribute to Tanzania data ecosystem → SDG data road-map → Data science trainings → Demonstrate use of data through data use stories

  4. SDG Road-map Outcomes (Joint NBS Work) Using an Advanced Data Planning Tool (ADAPT) developed by PARIS21 to define national plan (FYDP II). ADAPT is capable of; • Defining a national monitoring framework for development (FYDP II) • Cost estimation in implementing data collection activities • Develop a road-map for achieving data revolution and identification of gaps existing in the national monitoring framework

  5. Data Use Stories → C-Sema Violence, Abuse, Neglect and Exploitation(VANE) prevalence per 100,000 population in 2014 Use of Data to show trend & efficiency Trend of prevalence of violence, abuse, neglect & negligence (VANE) against children from 2013 to 2016. Highlighting efficiency of helpline service provided by C-Sema

  6. Data Use Stories → Save the Children Looking at 2010 DHS data, data mapping toolkit was developed to map multiple children related indicators to help evidence based decision in running interventions

  7. Knowledge Sharing Output → Training A total of 301 people were imparted with data use/manipulation skills in various trainings

  8. THANKS FOR LISTENING charles.bundu@dlab.or.tz @rwi_ge

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