The Uganda Communications Commission (UCC) was established in 2013 by the Uganda Communications Act of 2013 as an independent communications sector regulator, with oversight of telecommunications, broadcasting, radio communication, postal communications, data communication and infrastructure. Among others, the Commission is mandated to monitor, inspect, license, control, and regulate communication services in Uganda.
In pursuit of this mandate as provided for under the law, and its vision of “An Inclusive Digital Economy”, the Commission is desirous of studying and analysing meaningful and relevant data available to the Commission, and developing reliable data models for prediction, visibility, informing business decisions and regulatory interventions and (or) initiatives.
In line with its mandate to promote specialised education in the field of communication, the Commission is looking to collaborate with Academia to conduct an in-depth data science and analysis on several data sets available to the Commission, as provided for under Section 7.2 of the Research Support and Collaboration Framework.
The objective of this project is to construct the means for extracting organisation-focused insights from data sets available within the Commission. This will involve clearly understanding how value and information flows in the Commission, and the ability to use that understanding to identify key industry, regulatory and organisational trends, and insights.
Generally, this project seeks to identify key data assets that can be turned into data pipelines that feed maintainable tools, models, and solutions for identifying key organisational, business and (or) regulatory trends and insights.
More specifically, the project seeks to:
- Understand the different data sets available to the Commission through its internal processes and external collaborations.
- Categorize and prioritize the available data sets and assess the analytical information that can be derived from these data sets.
- Develop templates or formats for routine – automated collection of these data sets.
- Identify and implement methodologies for collection, analysis and reporting on the different data sets available to the Commission.
- Carry out the necessary data inspection, integration, transformation, reduction, and cleaning of the available data sets to the necessary data formats.
- Study and analyze the available data sets and develop meaningful and empirically supported forecasts, reports, insights, trends, and recommendations for the Commission.
- Develop consistent data models and tools for continuous analysis of the available data sets and development of the required reports, trends, and insights.
- SCOPE OF WORK AND ACTIVITIES
The team shall study, inspect, integrate, transform, clean, analyse and model the available Commission data sets, and develop the required frameworks, models, reports, and recommendations relevant to the individual data sets. The data sets available to the Commission include, but are not limited to:
- Operator (telecom, postal & broadcasting) industry and coverage reports – as routinely submitted to the Commission.
- Consumer services and devices usage data.
- Licensing and regulatory compliance data.
- Internal resource (human, hardware, software) and utilities usage data.
- Information Technology and cyber intelligence data.
- Consumer complaints/ redress data.
- Spectrum authorisation and compliance data.
- The Commission’s financial data (budgets, income, and expenditure).
- Information from Uganda Communications Universal Services Access Fund (UCUSAF).
- Research data sets.
To achieve this, the team shall employ the different data science techniques relevant to the available data sets and develop tools/ frameworks and models that exploit the different levels/ types of data analytics, including descriptive, diagnostic, predictive, prescriptive, and cognitive.
Accordingly, the team (academia) shall:
- Study the requirements and provide proposals with clear implementation plans and timelines.
- Engage and work with the different departmental representatives to identify All Available data sets within the Commission through its internal processes and external collaborations.
- Categorize All Available data sets and assess the analytical information that can be derived from these data sets.
- Analyze All Available data sets and recommend relevant data science models that are applicable to these data sets and propose the analytical information that can be derived from them.
- Develop data collection templates or formats and recommend methodologies for continuous collection of All Available data sets.
- Carry out the necessary data inspection, integration, transformation, reduction, and cleaning of All Available data sets to recommended formats.
- Identify and propose at least ten (10) data sets with which complete data science and analytics shall be carried out, including but not limited to descriptive, diagnostic, predictive, prescriptive, and cognitive data analysis.
- Study and analyze the data sets (at least 10) as agreed upon by the Commission, and develop meaningful reports, insights, trends, and recommendations for the Commission.
- Provide empirically supported forecasts and insights of the expected trends on key indicators of the data sets agreed upon by the Commission.
- Develop consistent data models and tools for continuous analysis of the data sets (as agreed upon) and development of the required reports, trends, and insights.
- Conduct a one-day workshop for the review and validation of the outputs of the assignment.
- Produce reports with relevant recommendations, including cleaned datasets in both soft and hard formats to the Commission.
- Disseminate the outcomes of the project to senior management team and key stakeholders as shall be identified by the Commission.
- Sign a Non-Disclosure Agreement with the Commission for the data sets and tools to be used in the analysis.
The team (academia) shall submit the following deliverables to UCC for approval:
- An inception report with the proposed work plan, list of all available data sets, the proposed data sets to be considered, methodologies to be applied, tools to be used and clear timelines for each activity.
- A report on the results and findings of the analysis and study, including relevant recommendations.
- A report on the workshop organized to present and validate findings of the analysis.
- An overall composite report on the analysis with clear insights and trends as required, in both soft and hard copy.
- Dissemination of analysis outcomes to key stakeholders.
- Cleaned data sets in both soft and hardcopy.
- ELIGIBILITY & QUALIFICATIONS
The following qualifications shall be required:
- Demonstration of relevant experience working in such areas of data science, analytics, and modelling.
- Being knowledgeable in communications infrastructure and services.
- The team should comprise of at least two key technical members, each with at least five years of demonstrated experience in the fields of telecommunications engineering and data science.
- The team should comprise of members from academia with affiliation to a recognized tertiary institution in Uganda.
- The team leader should have a minimum of 3 years’ experience in data science.
- The team should include an academic with experience in ICT services (telecommunications, broadcasting and postal).
- Demonstration of ability to engage with the relevant stakeholders.
- Demonstration of experience in implementation of similar projects.
- EVALUATION CRITERIA
In evaluating the relative merits of applicant proposals for the project, the evaluation team will consider:
- Experience of the team members and (or) the firm.
- Affiliation of the team members to a recognized tertiary institution in Uganda.
- Profile of the team leader and innovative approaches to addressing the terms of reference.
- Demonstrated experience and sample projects carried out by the applicant(s) related to ICTs and (or) private and public sector businesses.
- Professional qualifications and relevant experience of the applicant(s) in data science and ICTs.
- Understanding of the terms of reference, the suitability of the proposed approach and methodology to be applied by the applicant(s).
- Overall quality of the proposal, including the proposed approach in handling each objective and attainment of the deliverables.
- TIMELINE AND PAYMENT SCHEDULE
The following timelines shall apply:
||Within 10 working days of signing the contract/ MoU
||Sign off by UCC of the instruments and methodology to be applied in the analysis and the sample design
||14 days after approval of inception report
||Draft report of analysis findings
||60 days after signing off the work instruments
||Report of the workshop
||5 days after the workshop
||Final composite report approved by UCC
||4 months from signing of the contract/ memorandum of understanding
The team shall report to the UCC designated project management team, which shall be responsible for monitoring the progress, and ensuring quality assurance of the deliverables, including the tools.
- COPYRIGHT AND DISCLOSURE
All data collected, tools and other deliverables of the study shall remain the property of the Uganda Communications Commission during and after the contract implementation period and shall, therefore, not be reproduced without the express permission of the Commission.
10. APPLICATION TIMELINE
Applications should be submitted before 10:00am on 20th June 2022 in duplicate hard copies (2 copies) and addressed to:
The Executive Director
Uganda Communications Commission
Plot 42-44, Spring Road, Bugolobi
P.O. Box 7376, Kampala
A soft copy of the proposal should also be sent to the following email addresses by the deadline: email@example.com and firstname.lastname@example.org
For further clarification or guidance on the grant application process, please contact telephone +256-41-2339000/+256-41-2339000 or email email@example.com