Consultant: Data Scientist - Large Language Models
International Water Management Institute, Portugal

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
Jan 9, 2024
Last Date
Feb 9, 2024
Location(s)

Job Description

The International Water Management Institute (IWMI) is a leading global research for development organization dedicated to sustainable water and land resources management. Our mission is to improve the productivity, profitability, and resilience of water and land resources in support of food security, livelihoods, and environmental sustainability. As a consultant at IWMI, you will have the opportunity to contribute to cutting-edge research and work with an international and diverse team of experts in the field of water management.

This is an internationally/globally hired consultancy; therefore, individuals with relevant abilities from diverse locations around the world are encouraged to apply.Please ignore the preferred location mentioned above as it is a limitation of the workable software. The work arrangement for this consultancy is remote.

OBJECTIVE OF THE ASSIGNMENT:

The Multidimensional Digital Inclusiveness Index (MDII) is envisioned as an AI-powered platform-based tool, currently in development under the CGIAR's Digital Innovation Initiative, to assess and ensure the inclusiveness of digital innovations, with a special focus on reaching historically marginalized groups. This collaborative effort, led by the International Water Management Institute, alongside the International Rice Research Institute, the Alliance of Bioversity and CIAT, and the International Livestock Research Institute, strives to embed inclusiveness as a core standard in digital innovation.

This multi-perspective approach is supported by advanced algorithms and language processing technologies for precision and empathy in assessments. The human-centric evaluation path is particularly innovative, as it involves not just experts assessing, but also the direct participation of marginalized users whom the digital innovation intends to serve. This approach ensures that the tool's evaluation is deeply grounded in the realities and needs of its end users, enhancing the reliability and relevance of its assessments. By aiming to incorporate advanced language models and voice data analysis, the participation of actual marginalized users in the evaluation process is eased. This not only diminishes evaluation barriers but also ensures authenticity and relevance to real-world scenarios.

The consultant will design, test, and implement AI-driven components within the Multidimension Digital Inclusion Index (MDII) to support the assessment and promotion of digital inclusiveness. The Data Scientist will ensure that the AI algorithms are robust, accurate, and effectively integrated into the platform to provide real-time, data-driven insights for various user personas.

BACKGROUND OF THE PROJECT:

The Multi-dimension Digital Inclusion Index (MDII) is part of an organizational effort to increase inclusion by reducing friction between technical solutions and the adoption of such technologies by marginalized users, ensuring that such groups are prioritized. Consequently, the goal is to develop the MDII, which aims to be a comprehensive framework designed to foster digital inclusivity within the domains of food, land, and water systems.

The creation and implementation of MDII are based on the concept that such an index should contemplate strategic assessment dimensions, such as Accessibility, Beneficial Impact, Data Governance, and others, that allow both a quantitative and qualitative evaluation, in order to guarantee that digital solutions that are developed are inclusive both in their usage, as well on their development.

The MDII project aims to develop a comprehensive framework for digital inclusivity within the domains of food, land, and water systems. This framework, once established, can significantly enhance Digital Innovations efforts in several ways:

  • Data-Driven Decision-Making: The MDII will provide with a robust tool for assessing and promoting digital inclusivity within its interventions. Data from the MDII can inform decision-making processes, helping identify areas where digital technologies can be leveraged to enhance extension services, support SME development, and improve governance frameworks.
  • Monitoring and Evaluation: The MDII's quantitative and qualitative evaluation aspects focus on impact assessment. It can help track the effectiveness of its programs in fostering digital inclusivity and identify areas for improvement.
  • Targeted Interventions: By utilizing the MDII can tailor its interventions to address specific digital inclusion challenges faced by smallholder farmers and marginalized communities, thereby increasing the overall impact of its initiatives.
SCOPE OF WORK:

The successful candidate will be instrumental in creating a suite of intelligent algorithms and tools that will not

Job Specification

Job Rewards and Benefits

International Water Management Institute

Information Technology and Services - Cape Town, South Africa
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