1. C.Roda Universita` e INFN Pisa
BigDAPHNE … take 2 
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

2. C.Roda Universita` e INFN Pisa
Document partB
Section 1
description Chiara, Stefania – done
revision Nikos, Tim - ?
update from Giancarlo on Virgo in his WorkingDir  to be merged Section 2
description Chara, Rosy – done
revision Chiara, Stefania – first feedback given, next version to review ready Section 3 + WP1/2
description Nikos, Tim – done
review text Rosy, Chara - ?
review WP1/2 Chiara, Stefania -
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

3. Letters for Double Degree
UNIPI, UCL, AUTH – Done UNILE – Phd school meeting done, expected next week Saclay – letter requested need to wait
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

4. C.Roda Universita` e INFN Pisa
Who
Description Inst.
Trained skills
Description
Letter
PIC
1. Net7
asked x
2. CMCC 1
3. CMCC 2
UNICREDIT
4. Thales 1
as lst yr ?
5. Thales 2
6. Thales 3
14. CERN 1
15. CERN 2
7. AUTH 1
8. OTE/KOSMOTE`
9. SAP
10. NCC 1
11. NCC 2
12. TFL 1
13. TFL 2
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

5. Partners – not giving secondments
Name
Inst. Descrption
Letter of commitment
PIC
Comments
SAS
contact with UK partners hopefully definite answ this week
INFN
to comp.
asked x
INAF
Movie
UnvParma
Tubingen
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

6. C.Roda Universita` e INFN Pisa
ESR projects
@ALL: Which projects are already reviewed ?
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

7. C.Roda Universita` e INFN Pisa
WP1 – todo list from Tim
For WP1 - Added more introduction to the aims/objectives of this WP, so it can be read standalone, and also mentioned how it equates to other WPs. Aimed to make the common goals of the research clearer. - The objectives were quite low-level items and it wasn't clear what big-picture question they were answering, so I tried to ensure that every ATLAS research objective is linked to a 'big-picture' research outcome (i.e. what major breakthrough could result from this research). - TODO(Nick + Tom): Add similar statements for EUCLID and VIRGO linking the objectives to the important fundamental questions we are answering. - TODO(all): Add an objective on combining the research output of the three experiments (needs discussion about what form this could take). - TODO(all): I think making more explicit mentions of the beneficiaries expertise in the opening paragraphs of the 'Description of Work' section would help strengthen the proposal and address one of the identified weaknesses.
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

8. C.Roda Universita` e INFN Pisa
WP1 to do list from Tim
- I tried to cut down the number of deliverables so they only focussed on concrete research outputs, mostly focussing on papers and release of code/techniques. TODO(Tom): I marked two I haven't deleted yet, people should comment if they want to keep them. TODO(Tom): One of the EUCLID deliverables didn't seem to make sense, the meaning needs clarifying. - Added one additional deliverable, which aims to link together all the different research strands: A report on how the combined research output has furthered our understanding of the key outstanding questions in fundamental physics, the interplay between these results and what the next steps are to further enhance our understanding. - TODO(all): Add a description in the tasks section of common work we can undertake to link together all the different research strands to enhance our understanding of the Universe or synergies we can exploit between the different research areas. Wasn't a document prepared on such overlaps/synergies that we can use for this?
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

9. C.Roda Universita` e INFN Pisa
WP2 to do list from Tim
For WP2 - Added more introduction to the aims/objectives of this WP, so it can be read standalone, and also mentioned how it equates to other WPs. Aimed to make the overall goals of this package clearer and more concise. - Removed all repetition between WP3+4, merging similar tasks/deliverables. - Removed/merged a few of the deliverables/tasks to simplify the WP so the main aims are clearer. - TODO(all): I think this WP could be strengthened further by adding explicit references to the companies and the expertise they will bring (we should mention all companies at least once).
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

10. C.Roda Universita` e INFN Pisa
Suggestions
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

11. Training focus: BigData technology and tools
Event 1: Establishing the foundation (M. Morandin, F.Giacomini)
based on Bertinoro school – 2016 edition
program mostly on Good programming practices in C++ / Architectures / Parallel Computing / GPU programming
will add more seminars on BigData analytic aspects
Event 2: Introduction to BigData techniques for science and society (?)
SAS (C.Gianfiori): introduction to SAS programming and statistics, DataMiner tool from SAS (7days)
Ophidia (D.Salomoni): a tool for BigData analytics
Introduction to BigData aspects in science
Event 3: Summer schools on Big Data techniques in Particle Physics and Cosmology (A.Di Meglio, …)
tools for Data Analytics in particle physics and cosmology
can we try to have a list of possible course subjects ?
Applicazioni FPGA per data analytics – specifiche tecniche di programmazione
Evento 3 UCL collaborare - Konstatinidis
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

12. C.Roda Universita` e INFN Pisa
NCP – D’Agostino
General positive feedback – he thinks that in the evaluation report there are not strong objections
Suggestions to improve the project:
add a table with the list of institutions and list of needed expertise and show who has which expertise
describe also in document 1 the thesis that we have supervised and mention if we have students that have won prizes or that have found very good jobs
documentary check if we have described in the correct way what we wanted to do, he thinks the idea is good
Improve the description of the impact on the career: have two sections short term impact on long term impact: . short term: profit of the Marie Curie fellow to learn … long term: they will be able to submit ERC …
He is available to read the new version of the document to give feedback  beginning of Monday 5th December the document should be ready for review.
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

13. G.Chiarelli – My colleague EU evaluator
- need to better evidentiate the connections and role of the different institutions and it is better to have more than a single role for the various institutions - Dissemination should be done: . be more precise on the actions for example if we mention we want to publish mention to which Journals . companies: we could propose to build a boot of the project to send around to company meetings to disseminate results of the project . "success story board" is not clear what it means, mention that for the movie we have a company that will do this and that we have a precise plan and mention successful experiences in similar actions . it seems that one very fancy thing to propose in the dissemination are actions related to the citizen science (from wikipedia since I did not know what it meant): Citizen science (CS) (also known as crowd science, crowd-sourced science, civic science, volunteer monitoring or networked science) is scientific research conducted, in whole or in part, by amateur or nonprofessional scientists. we could ask our CMCC colleagues to make a weather forecast contests for public :-) ... any other ideas ? - in Pisa we could have "sabato in Virgo" and enroll the students (from any experiment) as guides
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

14. Tom Kitching – school content 1/2
In terms of Event 3 for Big Data aspects in PP and Cosmology, I think a good list of broad things to include from the cosmology side would be
* Some basic stats and training in particular codes
* Practical aspects in particular using public machine learning data sets from here , and also from the public supernovae and weak lensing cosmology data sets
A list of topics could be:
* Basic Stats:
- What is probability?
- The Laws of Probability and Bayes’ Theorem
- Priors
- Parameter inference
- Marginalization
- Confidence intervals, credibility intervals
* Parameter Estimation:
- Bayesian Computation: Parameter Estimation and Sampling
- Grid-based methods
- Markov Chain Monte Carlo
- Metropolis-Hastings algorithm
- Convergence tests – Rubin-Gelman
- Hands on: MCMC code from scratch. Cosmology from the Supernova Hubble Diagram.
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

15. Tom Kitching – school content 2/2
* Machine learning
- Unsupervised and supervised ML methods
- Random forests
- Neural networks
- Feature extraction
- Hands on: Applying TensorFlow to image recognition. Galaxy shapes from Galaxy Zoo.
* Cosmology codes
- Public and Widely used cosmology codes
- CosmoMC tutorial
- Cosmosis tutorial
- MontePython tutorial
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa

16. Similar project – Stefania, Nik
Asterics-Obelix project:
CTA, SKA, KM3NeT, EUCLID, LSST, EGO-Virgo, E-ELT
December 12th 2016 ITN.EJD
C.Roda Universita` e INFN Pisa