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Gathering Intelligence for Effective Campaigning

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Sanjan Haque

on 23 January 2014

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Transcript of Gathering Intelligence for Effective Campaigning

Learning, building and communicating
Background of GIEC
Systems based approach towards capturing processes behind influencing public policymakers and private sector investments in East Asia
1. Why do certain Oxfam campaigns achieve greater levels of success over others?
2. How can we capture successes within campaigns?
3. What are the tools required to systematically capture the ‘change’ process?
4. How can we leverage learning from successful campaigns to develop future programs?
Gathering Intelligence for Effective Campaigning
Brainstorming and planning workshop
Q House
23 January 2014

Sanjan Haque

What is needed is a dynamic and horizontal approach to data collection, which leads to continuous aggregation of information via combination of primary data collection, updating existing data from reliable third party sources (via open source platforms), and connecting the data with global trends and future programs & campaigns in the design phase.
Knowledge management is the process by which intellectual and knowledge based assets are systematically catalogued and analysed to improve understanding of trends in current internal practices, improve intra-organisational synergies and highlight attribution in affecting change. KM tools generate value through immersing the organisation’s intellectual assets with global good practices for a refined understanding of its value added as a thought leader and influencer.
Oxfam already collects large volumes of data for purposes of campaign, monitoring, reporting and program design.
Gathering Intelligence for Effective Campaigning
The GIEC project’s goal is to create a single Knowledge Management (KM) system to measure the impact of different campaigns and generate evidence on Oxfam’s ability to influence, which results in change.
We shall aggregate all forms of research data from Oxfam under a single platform accessible to global, regional and country teams; design tools to mine the data using data analytic tools; design an evidence generation platform to display results, based on goal and output of each campaign.
Identify relevant research data under the East Asia GROW campaign
Catalogue the data according to the requirements of East Asia GROW team
Once GIEC is established the pilot is required to achieve the following
Track response to campaigns by the private sector, national government and ASEAN
Track the actions and opinions as a result of the campaign by private sector, national government and ASEAN
Intermittent collection of community-level data to measure changes at the household level
Progress for each campaign against timeline and indicators
Stakeholder engagement
Progress for each campaign against timeline and indicators
Policy changes by targeted stakeholder
Progress for each campaign against timeline and indicators
Public consumption of campaign
Access to Oxfam research data and household data
Relate Oxfam research data, community based data with campaign goal and output
Access to Oxfam research data and household data
Community-level data collected through a standardised survey based on: well-being, empowerment and environmental sustainability
What will be the final output for GIEC?
Knowledge and Data Bank (KDB)
Data Mining (DM) tools
Evidence Generation (EG) platform
Quantified data from selected campaigns.
Internal Monitoring, Evaluation & Learning reports.
Qualitative data from longitudinal studies, unstructured questionnaires etc.
Community based data collected through a standardized survey using mobile phones.
Social media analytics
Print and video media analytics
Scan websites of organizations specific to the campaign
Campaign specific information and data from external actors
Identify results based on outputs from each campaign.
Display community data at a specified frequency to highlight trends.
Highlight patterns from social media analytics.
Identify relevant news, communiqués and reports which highlight policy shifts within organizations and sectors targeted by the campaign.
Objective of the workshop
Identify specific campaigns from East Asia GROW
Objective of the workshop
Develop a roadmap to implement GIEC
Objective of the workshop
Identify technical tools to capture, store and analyse data
Outcome from the workshop
Improved understanding of the GIEC project
Increased awareness of Oxfam and GROW activities in East Asia
Better understanding of knowledge management and data analytic tools for campaign and policy activities
Evidence Generation
Dynamic data
Structured questionnaire delivered through a mobile phone
Narrative studies
Longitudinal studies
In-depth interviews
Unstructured interviews
Third-party open sourced data
World Bank Data bank
Asian Development Bank Data
Food & Agriculture Organisation Stat
Other NGOs, think-tanks, academe
Non-normative sources
Newspaper opnion-editorials
Academic journals
Private sector commercial research e.g. McKinsey Global Institute.
Full transcript