DTM Analytics, Knowledge and Output Quality (AKO) – Environmental Induced Displacement (London) - Paid Internship
I. ORGANIZATIONAL CONTEXT AND SCOPE
Since 2004 the Displacement Tracking Matrix (DTM) is IOM’s main operational tool for tracking and monitoring the movements and the evolving needs of displaced populations. It has been systematically deployed in medium to large-scale humanitarian response operations in the last five years, including in all Level 3 emergencies. During 2016, DTM has been active in over 40 countries. To coordinate and support operations implemented by approximately 2,200 staff, the global DTM support team is comprised of 40 specialists across eight locations (Geneva, London, Bangkok, Nairobi, Dakar, Cairo, Vienna and The Hague). Since its inception the global support team includes, on average, 50% female and 50% male staff as well as a diverse range of nationalities.
Global DTM support is organized within the following units: Global System Management (GSM); Project and Operations Support (POS); Operations and Methodological Framework (OMF); Data Systems and Centralization (DSC); Data Management, Verification and Procedures (MVP); Digital Content Management (DCM); Analytics, Knowledge and Output Quality (AKO); Data Models and Learning (DML); DTM and Data Partnerships (DDP); Geospatial Analytics (GSA); Data Initiated Operations (DIO); and Humanitarian and Development Solutions (HDS).
Located in the IOM London office, under the direct supervision of the AKO Unit Lead (London), the thematic supervision of the Migration Environment and Climate Change Division (Geneva) and the overall/daily supervision of the Global DTM Coordinator (London), the successful candidate will integrate the AKO unit.
II. RESPONSIBILITIES AND ACCOUNTABILITIES
Objective: Technical assistance will be provided to evaluate possible ways to analyse and use DTM data from an environmental change perspective. The purpose will be to review DTM tools and datasets, and advise on how existing and future DTM exercises could benefit policy and responders.
Common to all interns in the AKO unit:
- Provide support in analysis and interpretation of data as well as in review of DTM documents requiring remote assistance
- Provide support in analysis and interpretation of data, as tasked by MECC and DTM units;
- Facilitate the organization of webinars in support of DTM units to ensure regular internal and external updates on human mobility as part of climate change;
- If necessary, to provide updates on human mobility trends, changes and any other significant observations surrounding human mobility in the targeted countries;
- Coordinate with other units of the global DTM support team also in contact with relevant DTM and MECC units in order to ensure continuity of functional workflows;
The candidate should be permanently up to date on the most recent human mobility trends, changes and any other significant observations surrounding human mobility in climate change affected countries
Thematic focus: climate change, environmental drivers, climate-induced displacement
- Support with the development of the analytical framework on how to better measure environmental induced displacement as a phenomena
- Develop draft case-study in analysing the dichotomy between climate-induced migration (displacement) and conflict-induced migration (displacement) and the how each of the phenomena correlates;
- Prepare and initiate design for research to support DTM with solid evidence towards designing its Village Assessment (VAS) component;
- Identify and report on human mobility trends and interactions, with a specific focus to climate change and environmental drivers, and any other significant observations surrounding human mobility captured by DTM in the thematic area of climate change, environmental drivers and climate-induced displacement;
- Provide administrative and logistical support when needed.
- Perform such other duties as may be assigned.
The incumbent is expected to demonstrate the following competencies:
Excellent quantitative analytical capacities, strong research, writing, and communication skills; ability to prepare clear and concise reports;
Strong and demonstrable interest in migration and/or humanitarian issues; personal commitment, efficiency, flexibility; ability to work effectively and harmoniously in a team and with colleagues from varied cultures and professional backgrounds under tight deadlines.
IV. EDUCATION AND EXPERIENCE
Advanced degree from an accredited academic institution in a field of study related to mathematics, econometrics, international development, or other relevant disciplines where data analysis was a core component.