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Narrative Mind Week 3 H4D Stanford 2016

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Stanford University
Stanford University

agile, bmnt, business model, corporate innovation, customer development, diux, h4d, hacking for defense, lean, lean launchpad, lean startup, stanford, steve blank

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Team Narrative Mind Stanford University Sponsor: US Army Cyber Command (ARCYBER) The Narrative Mind team contains experts in software engineering, social media design, and web-based information operations (IO). We seek to develop tools that will optimize discovery and investigation of communication trends on social media. Weekly Total: 12 interviews Users: 9 Experts: 23 Buyers: 4 Cumulative Total: 36 interviews
Hypotheses ❏ “C2” and “Recruiting” are sufficiently granular content categories. ❏ Advanced warning virality prediction is valuable for countering threats early. ❏ Content categorization is central to analyst workflow. ❏ Provide higher-level information around adversaries’ organizational structure Experiments ❏ Focused on getting sponsor to re-articulate original problem. ❏ Explicitly asked for thoughts on crowdsourcing mechanism. ❏ Interviewed end users about their tasks and current tools, as well as our own hypotheses Results ❏ Look to identify some way of tracking how organizations shift over time, and how they interact with each other ❏ Geospatial information is valuable, more so that social network analysis ❏ Government agencies are OK with crowdsourced tools Actions Testing our two main MVPs: 1. Organizational chart 2. Social network map Customer Discovery
Mission Model Canvas - Categorize social media posts and users by content for monitoring and tactical purposes. - Track how groups use technology over time. - Gnip/Twitter - Facebook - CrowdFlower, Samasource, or Mechanical Turk - Pre-existing social media service and micro- labor aggregators - Third-party access platforms for social media #1: ARCYBER Analysts - Better insight and awareness. #2: Researchers - OS tool for collaboratively tracking organizational change. #3: Business Analysts? - Tool for understanding when organizations adopt new technology to support scale. - Optimize workflow for social media analysts - Effectively visualize how groups use technology as they grow. - Aggregate known research? - Expedite categorization of social media content. - Use MechanicalTurk to crowdsource categorization of content and users. - Algorithmic virality predictor to create alerts for important, time- sensitive threats. - Use design of now-defunct Palantir Torch as inspiration for how to present content in a streamlined manner. - Force multiplier for intelligence analysts: receive cleaner, pre-categorized data, target the most urgent priorities. - Increase throughput to quantify content. - Improve the categorization of unstructured social media data points using crowdsourced micro-task labor. ?????????? - Architecture that can support massive concurrent data aggregation and analysis. - Customized UI - Testing with analysts - MechanicalTurk or crowdsourcing labor (microtasks) - UI Development/Testing with ARCYBER analysts. - Software Development - Research aggregation? (e.g. Import and reformat existing knowledge about extremist organizational structure) - Access to Twitter firehose or API - Local language speaking crowdsourcing staff. - Accurate testing for intercoder reliability - Individual Analysts - ARCYBER Leadership - Action Takers (classified) - Continued partnership with crowdsourcing firms, Beneficiaries Mission AchievementMission Budget/Costs Buy-In/Support Deployment Value Proposition Key Activities Key Resources Key Partners
Value Proposition Canvas - ARCYBER Products & Services Desktop application Update research Customer Jobs - New mission priorities. - Little familiarity with overall environment. - No repository for high-level learnings Gains Pains Gain Creators Pain Relievers - Organizational chart of technology broken down by functional purpose - Timeline-based viewer - Provides insight for mapping “online terrain” Visualize high-level information about how organizations use technology.
ARCYBER Org Chart ● Talk of CYBERCOM becoming its own COCOM ● Both CYBERCOM and NSA are technically led by ADM Rogers

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Narrative Mind Week 3 H4D Stanford 2016

  • 1. Team Narrative Mind Stanford University Sponsor: US Army Cyber Command (ARCYBER) The Narrative Mind team contains experts in software engineering, social media design, and web-based information operations (IO). We seek to develop tools that will optimize discovery and investigation of communication trends on social media. Weekly Total: 12 interviews Users: 9 Experts: 23 Buyers: 4 Cumulative Total: 36 interviews
  • 2. Hypotheses ❏ “C2” and “Recruiting” are sufficiently granular content categories. ❏ Advanced warning virality prediction is valuable for countering threats early. ❏ Content categorization is central to analyst workflow. ❏ Provide higher-level information around adversaries’ organizational structure Experiments ❏ Focused on getting sponsor to re-articulate original problem. ❏ Explicitly asked for thoughts on crowdsourcing mechanism. ❏ Interviewed end users about their tasks and current tools, as well as our own hypotheses Results ❏ Look to identify some way of tracking how organizations shift over time, and how they interact with each other ❏ Geospatial information is valuable, more so that social network analysis ❏ Government agencies are OK with crowdsourced tools Actions Testing our two main MVPs: 1. Organizational chart 2. Social network map Customer Discovery
  • 3. Mission Model Canvas - Categorize social media posts and users by content for monitoring and tactical purposes. - Track how groups use technology over time. - Gnip/Twitter - Facebook - CrowdFlower, Samasource, or Mechanical Turk - Pre-existing social media service and micro- labor aggregators - Third-party access platforms for social media #1: ARCYBER Analysts - Better insight and awareness. #2: Researchers - OS tool for collaboratively tracking organizational change. #3: Business Analysts? - Tool for understanding when organizations adopt new technology to support scale. - Optimize workflow for social media analysts - Effectively visualize how groups use technology as they grow. - Aggregate known research? - Expedite categorization of social media content. - Use MechanicalTurk to crowdsource categorization of content and users. - Algorithmic virality predictor to create alerts for important, time- sensitive threats. - Use design of now-defunct Palantir Torch as inspiration for how to present content in a streamlined manner. - Force multiplier for intelligence analysts: receive cleaner, pre-categorized data, target the most urgent priorities. - Increase throughput to quantify content. - Improve the categorization of unstructured social media data points using crowdsourced micro-task labor. ?????????? - Architecture that can support massive concurrent data aggregation and analysis. - Customized UI - Testing with analysts - MechanicalTurk or crowdsourcing labor (microtasks) - UI Development/Testing with ARCYBER analysts. - Software Development - Research aggregation? (e.g. Import and reformat existing knowledge about extremist organizational structure) - Access to Twitter firehose or API - Local language speaking crowdsourcing staff. - Accurate testing for intercoder reliability - Individual Analysts - ARCYBER Leadership - Action Takers (classified) - Continued partnership with crowdsourcing firms, Beneficiaries Mission AchievementMission Budget/Costs Buy-In/Support Deployment Value Proposition Key Activities Key Resources Key Partners
  • 4. Value Proposition Canvas - ARCYBER Products & Services Desktop application Update research Customer Jobs - New mission priorities. - Little familiarity with overall environment. - No repository for high-level learnings Gains Pains Gain Creators Pain Relievers - Organizational chart of technology broken down by functional purpose - Timeline-based viewer - Provides insight for mapping “online terrain” Visualize high-level information about how organizations use technology.
  • 5. ARCYBER Org Chart ● Talk of CYBERCOM becoming its own COCOM ● Both CYBERCOM and NSA are technically led by ADM Rogers