Stephanos Androutsellis PhD research plan: Difference between revisions
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! 1.a. |
! 1.a. |
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| Overview of my research and motivation |
| Overview of my research and motivation |
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| Use Ptrim S1 |
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! 3. |
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*3. Problem definition and proposed solution |
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| Problem definition and proposed solution |
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**a. Definition of problem we want to attack: Managing P2P transaction risk |
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Includes general and also specific goals |
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**b. Limits of research scope |
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Things that are not our problem ( References to Section 7). |
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! 3.a. |
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**c. Proposed solution: A Market based approach |
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| Definition of problem we want to attack: Managing P2P transaction risk |
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At an abstract level. Use patent literature for ideas. |
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| Includes general and also specific goals |
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***i. Relation to other approaches |
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Complementary to reputation management, explain how the two could cooperate. |
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***ii. Abstract description of proposed solution. |
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! 3.b. |
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Abstract design and architecture. Description of the market-based insurance layer, and the Ptrim system. Use Ptrim S2.3. Talk about need for efficient, competitive market. Use Ptrim S3.1. |
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| Limits of research scope |
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*4. Methodology |
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| Things that are not our problem ( References to Section 7). |
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**a. How we chose this particular approach |
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With particular focus to our evaluation approach. Discuss other possible approaches (e.g. theoretical) that were not selected. |
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**b. Description of our overall approach |
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! 3.c. |
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We’ll build a prototype and test it, and we’ll also run composite experiments and evaluate the results. |
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| Proposed solution: A Market based approach |
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**c. Hypotheses |
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| At an abstract level. Use patent literature for ideas. |
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What were our specific hypotheses (H1, H2, H3). We’ll refer to them in d and e below, and also again in Section 6. |
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**d. Prototype system trials |
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What sort of trials we ran with the prototype. Use Ptrim S4.1. Which hypotheses do we address here. |
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! 3.c.i. |
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***i. Experimental setup |
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| Relation to other approaches |
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How the experiment will work, software tool, subjects, questionnaires etc. |
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| Complementary to reputation management, explain how the two could cooperate. |
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***ii. Methodology for evaluation |
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How will we evaluate the results. |
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**e. Composite experimental trials |
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! 3.c.ii. |
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Use Ptrim S4.2. Which hypotheses do we address here. |
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| Abstract description of proposed solution. |
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***i. Experimental setup |
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| Abstract design and architecture. Description of the market-based insurance layer, and the Ptrim system. Use Ptrim S2.3. Talk about need for efficient, competitive market. Use Ptrim S3.1. |
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How the experiment will work, software tool, subjects, questionnaires etc. Use Ptrim S |
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***ii. Transaction data |
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Where we found the data and what we did with it |
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! 4. |
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***iii. Methodology for evaluation |
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| Methodology |
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How will we evaluate the results (market efficiency, risk reduction, questionnaires etc) |
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| ... |
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*5. Design and implementation |
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Follows the structure of 3c, but not at an abstract level any more, we refer to design and implementation. Lots of UML diagrams |
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**a. Design of Ptrim system |
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! 4.a. |
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**b. Ptrim implementation details |
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| How we chose this particular approach |
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How we implemented this: Java, jxta, messaging, etc Use Ptrim S3.2. |
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| With particular focus to our evaluation approach. Discuss other possible approaches (e.g. theoretical) that were not selected. |
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**c. Composite experiment setup |
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How we implemented this: Perl/CGI/MySQL etc. |
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**d. Data crawling |
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! 4.b. |
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How we did this |
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| Description of our overall approach |
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*6. Results, evaluation and discussion |
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| We’ll build a prototype and test it, and we’ll also run composite experiments and evaluate the results. |
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**a. Evaluation of prototype trial outcomes |
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Use Ptrim S5.1. Refer to hypotheses |
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**b. Evaluation of composite trial outcomes |
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! 4.c. |
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Use Ptrim S5.2. Refer to hypotheses |
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| Hypotheses |
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**c. Discussion of overall findings and implications for our approach |
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| What were our specific hypotheses (H1, H2, H3). We’ll refer to them in d and e below, and also again in Section 6. |
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*7. Future work |
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Mention these also in Section 3.b. |
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**a. Security |
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! 4.d. |
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**b. Collusion detection |
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| Prototype system trials |
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**c. Insuring insurance transactions |
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| What sort of trials we ran with the prototype. Use Ptrim S4.1. Which hypotheses do we address here. |
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**d. Further experiments and simulation studies |
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*8. Conclusions and synopsis |
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! 4.d.i. |
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| Experimental setup |
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| How the experiment will work, software tool, subjects, questionnaires etc. |
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! 4.d.ii. |
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| Methodology for evaluation |
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| How will we evaluate the results. |
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! 4.e. |
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| Composite experimental trials |
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| Use Ptrim S4.2. Which hypotheses do we address here. |
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! 4.e.i. |
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| Experimental setup |
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| How the experiment will work, software tool, subjects, questionnaires etc. Use Ptrim S |
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! 4.e.ii. |
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| Transaction data |
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| Where we found the data and what we did with it |
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! 4.e.iii. |
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| Methodology for evaluation |
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| How will we evaluate the results (market efficiency, risk reduction, questionnaires etc) |
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! 5. |
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| Design and implementation |
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| Follows the structure of 3c, but not at an abstract level any more, we refer to design and implementation. Lots of UML diagrams |
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! 5.a. |
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| Design of Ptrim system |
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| ... |
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! 5.b. |
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| Ptrim implementation details |
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| How we implemented this: Java, jxta, messaging, etc Use Ptrim S3.2. |
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! 5.c. |
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| Composite experiment setup |
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| How we implemented this: Perl/CGI/MySQL etc. |
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! 5.d. |
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| Data crawling |
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| How we did this |
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! 6. |
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| Results, evaluation and discussion |
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| ... |
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! 6.a. |
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| Evaluation of prototype trial outcomes |
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| Use Ptrim S5.1. Refer to hypotheses |
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! 6.b. |
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| Evaluation of composite trial outcomes |
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| Use Ptrim S5.2. Refer to hypotheses |
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! 6.c. |
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| Discussion of overall findings and implications for our approach |
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| ... |
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! 7. |
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| Future work |
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| Mention these also in Section 3.b. |
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! 7.a. |
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| Security |
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| ... |
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! 7.b. |
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| Collusion detection |
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| ... |
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! 7.c. |
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| Insuring insurance transactions |
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| ... |
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! 7.d. |
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| Further experiments and simulation studies |
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| ... |
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! 8. |
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| Conclusions and synopsis |
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| ... |
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Revision as of 01:22, 4 June 2008
Publications Plan:
- Currently I only focus on thesis write-up. There are no specific goals for other publications.
Non-thesis-related personal plans:
- Follow SENSE/PENED accounting stuff.
- Follow SOPRANO accounting stuff.
- Follow DIEPTELO accounting stuff.
- Prepare for SOPRANO Bilbao meeting (June 10-12).
PhD thesis table of contents:
| No | Section | Comments | Status | Target |
|---|---|---|---|---|
| 1. | Introduction | |||
| 1.a. | Overview of my research and motivation | Use Ptrim S1 | ||
| 1.b. | Main results and original contributions | |||
| 1.c. | Organisation of thesis | |||
| 2. | Theory and background | |||
| 2.a. | Introduction – big picture | |||
| 2.b. | P2P networks and architectures | Based on ACM survey | ||
| 2.c. | Distributed transaction processing systems | Compared to centralized, characteristics, requirements (use e-commerce paper) | ||
| 2.d. | Centralized and distributed reputation management | Survey of current approaches | ||
| 2.e. | Market-based risk management | Financial derivatives, risk management, market efficiency. Use Ptrim S2.1. S2.4 | ||
| 2.f. | Auxiliary theory and tools used in this research | Mention, with references to Sections, we’ll be talking about crawling utilities, importance sampling, Java/jxta development etc. |
! 3.
| Problem definition and proposed solution
|
|
|
! 3.a.
| Definition of problem we want to attack: Managing P2P transaction risk
| Includes general and also specific goals
|
|
! 3.b.
| Limits of research scope
| Things that are not our problem ( References to Section 7).
|
|
! 3.c.
| Proposed solution: A Market based approach
| At an abstract level. Use patent literature for ideas.
|
|
! 3.c.i.
| Relation to other approaches
| Complementary to reputation management, explain how the two could cooperate.
|
|
! 3.c.ii.
| Abstract description of proposed solution.
| Abstract design and architecture. Description of the market-based insurance layer, and the Ptrim system. Use Ptrim S2.3. Talk about need for efficient, competitive market. Use Ptrim S3.1.
|
|
! 4.
| Methodology
| ...
|
|
! 4.a.
| How we chose this particular approach
| With particular focus to our evaluation approach. Discuss other possible approaches (e.g. theoretical) that were not selected.
|
|
! 4.b.
| Description of our overall approach
| We’ll build a prototype and test it, and we’ll also run composite experiments and evaluate the results.
|
|
! 4.c.
| Hypotheses
| What were our specific hypotheses (H1, H2, H3). We’ll refer to them in d and e below, and also again in Section 6.
|
|
! 4.d.
| Prototype system trials
| What sort of trials we ran with the prototype. Use Ptrim S4.1. Which hypotheses do we address here.
|
|
! 4.d.i.
| Experimental setup
| How the experiment will work, software tool, subjects, questionnaires etc.
|
|
! 4.d.ii.
| Methodology for evaluation
| How will we evaluate the results.
|
|
! 4.e.
| Composite experimental trials
| Use Ptrim S4.2. Which hypotheses do we address here.
|
|
! 4.e.i.
| Experimental setup
| How the experiment will work, software tool, subjects, questionnaires etc. Use Ptrim S
|
|
! 4.e.ii.
| Transaction data
| Where we found the data and what we did with it
|
|
! 4.e.iii.
| Methodology for evaluation
| How will we evaluate the results (market efficiency, risk reduction, questionnaires etc)
|
|
! 5.
| Design and implementation
| Follows the structure of 3c, but not at an abstract level any more, we refer to design and implementation. Lots of UML diagrams
|
|
! 5.a.
| Design of Ptrim system
| ...
|
|
! 5.b.
| Ptrim implementation details
| How we implemented this: Java, jxta, messaging, etc Use Ptrim S3.2.
|
|
! 5.c.
| Composite experiment setup
| How we implemented this: Perl/CGI/MySQL etc.
|
|
! 5.d.
| Data crawling
| How we did this
|
|
! 6.
| Results, evaluation and discussion
| ...
|
|
! 6.a.
| Evaluation of prototype trial outcomes
| Use Ptrim S5.1. Refer to hypotheses
|
|
! 6.b.
| Evaluation of composite trial outcomes
| Use Ptrim S5.2. Refer to hypotheses
|
|
! 6.c.
| Discussion of overall findings and implications for our approach
| ...
|
|
! 7.
| Future work
| Mention these also in Section 3.b.
|
|
! 7.a.
| Security
| ...
|
|
! 7.b.
| Collusion detection
| ...
|
|
! 7.c.
| Insuring insurance transactions
| ...
|
|
! 7.d.
| Further experiments and simulation studies
| ...
|
|
! 8.
| Conclusions and synopsis
| ...
|
|
|
|
|}
PhD thesis research plan:
- May 29th 2008: Draft version of PhD skeleton, official initiation of writeup
- June 10th 2008: Completion of additional composite experiment with uniformly sampled data on undergrads. This will be used for the thesis, or for future Ptrim paper versions.
- September 2008: Expected revision of Ptrim journal paper.
- July 10th 2008: First draft of thesis for overview with dds.
- August 25th 2008: Second draft of thesis for overview with dds.
- September 20th 2008: Thesis version ready for review with dds.
- October 15th 2008: Final thesis version ready for submission.
- November 2008: Thesis presentation and PhD completion.