Save time, empower your teams and effectively upgrade your processes with access to this practical Computational social science Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Computational social science related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

 

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The Toolkit contains the following practical and powerful enablers with new and updated Computational social science specific requirements:

STEP 1: Get your bearings

Start with…

  • The latest quick edition of the Computational social science Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.

Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…

  • Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation

Then find your goals…

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 717 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Computational social science improvements can be made.

Examples; 10 of the 717 standard requirements:

  1. Will a response program recognize when a crisis occurs and provide some level of response?

  2. What do we want to improve?

  3. How do we focus on what is right -not who is right?

  4. What conclusions were drawn from the team’s data collection and analysis? How did the team reach these conclusions?

  5. Who is responsible for errors?

  6. Were any designed experiments used to generate additional insight into the data analysis?

  7. Are we using Computational social science to communicate information about our Cybersecurity Risk Management programs including the effectiveness of those programs to stakeholders, including boards, investors, auditors, and insurers?

  8. When is/was the Computational social science start date?

  9. What is the source of the strategies for Computational social science strengthening and reform?

  10. Do those selected for the Computational social science team have a good general understanding of what Computational social science is all about?

Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:

  • The workbook is the latest in-depth complete edition of the Computational social science book in PDF containing 717 requirements, which criteria correspond to the criteria in…

Your Computational social science self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:

  • The Self-Assessment Excel Dashboard; with the Computational social science Self-Assessment and Scorecard you will develop a clear picture of which Computational social science areas need attention, which requirements you should focus on and who will be responsible for them:

    • Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
    • Gives you a professional Dashboard to guide and perform a thorough Computational social science Self-Assessment
    • Is secure: Ensures offline data protection of your Self-Assessment results
    • Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:

 

STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Computational social science projects with the 62 implementation resources:

  • 62 step-by-step Computational social science Project Management Form Templates covering over 6000 Computational social science project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Activity Resource Requirements: Are there unresolved issues that need to be addressed?
  2. Procurement Audit: Do procurement staff, supplier and end user communicate properly?
  3. Roles and Responsibilities: Is there a training program in place for stakeholders covering expectations, roles and responsibilities and any addition knowledge others need to be good stakeholders?
  4. Stakeholder Analysis Matrix: How are you predicting what future (work)loads will be?
  5. Cost Baseline: Is there anything unique in this Computational social science project s scope statement that will affect resources?
  6. Human Resource Management Plan: Does all Computational social science project documentation reside in a common repository for easy access?
  7. WBS Dictionary: Changes in the overhead pool and/or organization structures?
  8. Activity Duration Estimates: A Computational social science project manager has received activity duration estimates from his team. Which does he need in order to complete schedule development?
  9. Quality Audit: How does the organization know that its general support services planning and management systems are appropriately effective and constructive?
  10. Probability and Impact Assessment: What should be the gestation period for the Computational social science project with specific technology?

 
Step-by-step and complete Computational social science Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Computational social science project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix

2.0 Planning Process Group:

  • 2.1 Computational social science project Management Plan
  • 2.2 Scope Management Plan
  • 2.3 Requirements Management Plan
  • 2.4 Requirements Documentation
  • 2.5 Requirements Traceability Matrix
  • 2.6 Computational social science project Scope Statement
  • 2.7 Assumption and Constraint Log
  • 2.8 Work Breakdown Structure
  • 2.9 WBS Dictionary
  • 2.10 Schedule Management Plan
  • 2.11 Activity List
  • 2.12 Activity Attributes
  • 2.13 Milestone List
  • 2.14 Network Diagram
  • 2.15 Activity Resource Requirements
  • 2.16 Resource Breakdown Structure
  • 2.17 Activity Duration Estimates
  • 2.18 Duration Estimating Worksheet
  • 2.19 Computational social science project Schedule
  • 2.20 Cost Management Plan
  • 2.21 Activity Cost Estimates
  • 2.22 Cost Estimating Worksheet
  • 2.23 Cost Baseline
  • 2.24 Quality Management Plan
  • 2.25 Quality Metrics
  • 2.26 Process Improvement Plan
  • 2.27 Responsibility Assignment Matrix
  • 2.28 Roles and Responsibilities
  • 2.29 Human Resource Management Plan
  • 2.30 Communications Management Plan
  • 2.31 Risk Management Plan
  • 2.32 Risk Register
  • 2.33 Probability and Impact Assessment
  • 2.34 Probability and Impact Matrix
  • 2.35 Risk Data Sheet
  • 2.36 Procurement Management Plan
  • 2.37 Source Selection Criteria
  • 2.38 Stakeholder Management Plan
  • 2.39 Change Management Plan

3.0 Executing Process Group:

  • 3.1 Team Member Status Report
  • 3.2 Change Request
  • 3.3 Change Log
  • 3.4 Decision Log
  • 3.5 Quality Audit
  • 3.6 Team Directory
  • 3.7 Team Operating Agreement
  • 3.8 Team Performance Assessment
  • 3.9 Team Member Performance Assessment
  • 3.10 Issue Log

4.0 Monitoring and Controlling Process Group:

  • 4.1 Computational social science project Performance Report
  • 4.2 Variance Analysis
  • 4.3 Earned Value Status
  • 4.4 Risk Audit
  • 4.5 Contractor Status Report
  • 4.6 Formal Acceptance

5.0 Closing Process Group:

  • 5.1 Procurement Audit
  • 5.2 Contract Close-Out
  • 5.3 Computational social science project or Phase Close-Out
  • 5.4 Lessons Learned

 

Results

With this Three Step process you will have all the tools you need for any Computational social science project with this in-depth Computational social science Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Computational social science projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
  • Implement evidence-based best practice strategies aligned with overall goals
  • Integrate recent advances in Computational social science and put process design strategies into practice according to best practice guidelines

Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, ‘What are we really trying to accomplish here? And is there a different way to look at it?’

This Toolkit empowers people to do just that – whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc… – they are the people who rule the future. They are the person who asks the right questions to make Computational social science investments work better.

This Computational social science All-Inclusive Toolkit enables You to be that person:

 

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Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.