United Nations Development Programme (UNDP) is the United Nation’s global
development network. UNDP advocates for change and connects countries to
knowledge, experience and resources to help people build a better life. The UNDP
provides expert advice, training, grant support to developing countries
including Uganda with increasing emphasis on assistance to the least developed
countries.
Pulse is an innovation initiative of the United Nations Secretary-General on
Big Data. Its vision is a future in which big data is harnessed safely and
responsibly as a public good. Its mission is to accelerate discovery,
development and scaled adoption of big data innovation for sustainable
development and humanitarian action. Global Pulse is building a catalytic
network of in-country innovation centers, which will test new tools, data and
analysis, share what lessons with the global community, mainstream successful
approaches for real-time impact monitoring into policymaking. The first Lab was
established in New York (Pulse Lab New York) followed by Jakarta, Indonesia and
Kampala, Uganda.
Lab Kampala (http://www.unglobalpulse.org/kampala) is an inter-agency
initiative of the United Nations under the Office of the Resident Coordinator
in Uganda. The first of its kind in Africa, it brings together researchers from
Government, the UN, non-governmental organizations and private sector to
explore the utility of new sources of digital “Big Data” (such as social media,
mobile data, online information) and real-time analysis techniques for social
development monitoring and program planning.
Kampala to implement groundbreaking data innovation initiatives. The consultant
will utilize the latest techniques in artificial intelligence, machine learning
(including e.g. deep learning and probabilistic inference), computer vision and
natural language processing to develop projects harnessing Big Data in various
forms (for example, telecoms data, satellite imagery and social media data) to
support the monitoring and achievement of the Global Goals.
- Refinement of filter specifications:
- Filters for each development/humanitarian topic
are defined by sets of keywords to match. An iterative process of refining
the set of keywords and evaluating the filter matches is required in order
to have the system most effectively identify the discussions of interest.
Initial versions of each filter will be provided, and the role of the
multilingual analyst is to propose additions and modifications of the
keywords - Analysis of filter results:
- After filters are applied to radio, it is
necessary to provide an English translation of any material which is both
relevant and interesting for the purposes of the study. Relevance is
specific to each topic, and the definition in each case will be described
to the analyst. - Interestingness is defined as follows:
- High interest:
- Phone-ins;
- Live community discussions e.g.
bimeeza; - Personal experiences, reports and
opinions; - Presenter reporting other views from
listeners, e.g. reading text messages, Facebook posts. - Medium interest: studio/guest discussion –
especially if personal experience being reported. - Low interest: in general, anything that we might
be able to know from another source: - News: can be included if there is a field
recording of interest, or if the report is from a small community radio
station that might have specific news items that are not nationally
reported. Otherwise exclude; - Maybe for later: check if news story is
reported in major sources (online), and include if the report cannot be
found anywhere else; - Statements from officials.
- For each segment matched by one of the
filters, the multilingual analyst is required to listen to the segment and
make structured notes. - If a segment does not meet the inclusion
criteria, add a note at the beginning from one of the following: - Not speech;
- Not relevant;
- Not interesting.
- Otherwise, for each interesting and relevant
segment, add a note: - English translation of what’s been said;
- As far as possible: place, time, gender;
- Codes for type of event.
- The ideal candidate for the United Nations
Development Programme (UNDP) Multilingual Analyst job opportunity should
have BSc in Computer Science, Software Engineering, Information Systems or
related field. A combination of a first degree and relevant experience may
be accepted. - At least five years’ experience of web
application development, preferably having worked on examples of
interactive data visualization; - Previous experience of coordinating student
activities. - Language Requirements: Excellent command of English. High
literacy in Luganda, Acholi, Ngakaramojong, Runyakitara Lukonjo and
Lugbara.
- Plans and produces quality results to meet
established goals; - Generates innovative, practical solutions to
challenging situations; - Demonstrates substantive and technical
knowledge to meet responsibilities and post requirements with excellence; - Demonstrates openness to change and ability
to manage complexities; - Responds positively to critical feedback and
differing points of view; - Excellent communication skills.
is committed to achieving workforce diversity in terms of gender, nationality
and culture. Individuals from minority groups, indigenous groups and persons
with disabilities are equally encouraged to apply. All applications will be
treated with the strictest confidence.
candidates who so desire to join the United Nations Development Programme
(UNDP) in the aforementioned capacity are encouraged to apply online at the web
link below.
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