Category Archives: Global Systems Science

Some “professional network initiatives” examples to share

Professional network initiatives I am involved in, related to Global Systems Science focal themes, may provide a perspective and possible options to “connect to society” (“in a sea of options to do so”).

I look forward to reactions and I will be happy to provide more detailed information:

1. “A transition to a low-carbon economy in the European Union” as an initiative of “GLOBE EU”, European Parliamentarians members of the global parliamentarian association GLOBE (planned for the first half of 2013).

The purpose is to engage with a number of ministers of Finance of EU-member states on the transition. “Mobilising long term private capital and integrating ESG in financial regulation” are among the agenda issues.

A “group of experts” of which I am a member, is engaged by GLOBE EU to advice on the planned meeting.

2. “2Degrees-Investing Initiative”, launched in December 2012 as a “think/action tank”: www.2degrees-investing.org provides the launch document. The documents ends with  a number of messages of support, including a message from the president of GLOBE EU, and a one by me. 2Degrees-Investing Initiative is also participating in the GLOBE EU “group of experts”.

3. “Rating Agencies and the Ecological Transition”: a seminar to be held at the French National Assembly, hosted by the Parliamentary Sustainable Development Commission (Paris, February 2013). France is currently preparing a “Transition Ecologique”- action plan. The purpose of the seminar, organised by “European Partners for the Environment” I advice,  is:

“The objective of the European workshop is to redefine the performance and value concepts at the level of States, local authorities and businesses in order to lead to new assessment methods, generate innovation and creativity. We will focus on Social and Environmental Rating Agencies as well as Financial Rating agencies, and their respective role in the ecological transition of rated enterprises and authorities (Regions and Cities)”.

Gertjan.Storm@maastrichtuniversity.nl

Brussels, December 20, 2012

Seven research questions on SDRs as a reserve currency

First of all I would like to express my personal thanks to speakers and participants in the workshop on a sustainable financial system and developed SDRs. The presentations and the discussions were thought-provoking and they showed the need for more reflections and research, which most certainly will be taken on board in the white paper that is the planned outcome of the conference.

We clearly need to be more precise about the objectives the developed SDRs would meet. One goal for the developed SDRs seems to be to offer an alternative  currency for cross-border exchange, the volume of which  whould be  mainly driven by the needs of the “real” economy and investments in “real” assets. However, already this seemingly uncontroversial goal raises immediate questions. What is the”real” economy and what is the value of “real” assets?  If other goals are added, such as the balancing of current accounts and the stabilization of exchange  rates the  complexity increases further.  In addition, if we among the goals want to include the role that SDRs could play in the necessary transition to a more sustainable economy and in the support of the development of the living conditions for the billions living in poverty we may reach a complexity level that is outside the reach of what now is possible.  A “big-bang” solution may be attractive in the case of a new financial crisis, but as, for the time being, the “muddling through” scenario is slightly more likely,  a more gradual approach could be favoured.

I have taken with me seven research questions from the workshop. They are in no way the only questions that can be raised and other participants may have other questions they have brought with them home, but I would like to share my seven questions with you for the purpose of promoting a common understanding of the challenges ahead.

1. What are the realistic alternatives to the USD as a reserve currency?

 It is clear that China does not wish the RMB to take over the role as global reserve currency as they are – and probably rightly so – afraid to be caught in the Triffin dilemma and become unable to tackle the domestic interest problem. They may end up having no choice in the matter as history has shown that the switch from one reserve currency to another can be surprisingly fast.

Many see the development of three regional reserve currencies – the USD, the Euro and the RMB. But would this be a stable sloution? It is unlikely, as Carlo Jaeger discusses in his blog input. We need to look more into it and may add some insights from research in other areas to the subject.

The third alternative is a new global reserve currency and given that the other solutions have some drawbacks, this is a solution worth looking into.

2.Who creates the SDRs for commercial use?

Base money are created by central banks, but the overwhelming creation of commercial money is done by banks. Who would create the SDRs, which Governor Zhou is proposing to be used for commercial purposes? If banks would be allowed to create them,  what would be the requests for reserves? There is a big difference between banking systems today as the UK is demanding 0 % in reserves, the US in principle 10 % and China above 20 %.  What would be the optimal liquidity reserves in SDRs if banks are allowed to create them?

3. How could a smooth and gradual transition look like?

Governor Zhou’s proposal is sketchy on this point. He just recognizes the attractiveness of a gradual approach.

4. Would we need capital controls?

The truth is that financial markets with private creation of money have been inherently unstable sinch the 17th century with the exception of the decades after Bretton-Woods. Perhaps we need to reintroduce some controls to reduce speculation and focus the system on the main objectives.

5. Stabilize exchange rates

The status of the USD as rressrve currency is automatically pressing the USD upwards. The introduction of SDRs would relieve the USD from that pressure and rebalance the the exchange rates.  A question: Would even a reintroduction of Bretton Woods in some form or the other be a possibility?

6. Do we need to balance the current accounts?

Keynes saw a rebalancing of current accounts as a major objective of his clearance union. As the exchange rates can be expected to be adjusted at the introduction of SDRs this problem can be expected to be reduced, and especially if a new “Bretton Woods” is introduced.

7. How about the store of value?

The Chinese are expressing concerns about the risk that the US is going to solve its debt problem by printing money. Given the gridlock in the US Congress it is a worry that seems reasonable. The USD was a reserve currency  when Roosevelt unilaterally disconnected the USD from the gold standard and it was a reserve currency when Nixon decided to print money to pay for the Vietnam war. The USD as a store of value is a shaky proposition given the present debt levels. The SDRs could perhaps if connected to the real economy (in a wise way) offer a better store of value. A concern is that commodity markets are highly volatile and manipulated due to speculation and cartels.

Once again -thank you all for your contributions to the workshop and we are looking forward to your input to the white paper!

Best regards

Ulf (Dahlsten)

 

 

 

 

 

GSS conference – two plenary summary transcripts already available

Dear good colleagues,

Please find attached two summary transcripts of the plenaries we held in our exciting conference. I think this is prime reflective material for all us in this emergent community. There will be more and I’ll put all them in a consolidated report soon. But for the time being this gives you a taste of what is to come and the major challenges we have ahead!

Thanks for all your contributions!

J. David Tabara

 

Reports form the conference 1st Open Global Systems Science Conference, November 8th–10th, 2012, Brussels, Belgium:

 

ICT challenges for GSS, part 3

Notes from The Saturday ICT workshop (by Patrik Jansson, 2012-11-22)

(Ilan Chabay started out with a summary of the Thursday and Friday Narratives workshops – that part is reported elsewhere.)

Second topic was introduced by Jeremy Gibbons. We need robust modelling – we cannot assume a single shared context. Even for a long-lived single-person project, but more urgently for larger collaborations. We need assumptions to be explicit, documented, transparent, checkable. Challenge 1: make computational science results transparent and repeatable. Challenge 2: provide languages which let you write a high-level model of your program and let the computer generate the low-level code.

Third Michael Resch talked about “Verification and Validation of Simulation Models”. There is a chain (or tower) of models from theory, through modelling, numeric modelling (like discretization), programming, running and interpreting the results. To be sure about the validity of the results we need Challenge 3: validation and verification at each step (each level). This is a major challenge with many sub-parts. If we carefully explain all the potential “bugs” which could in principle invalidate our results we could easily project the image that “they have no credibility”. Thus there is the pedagogical Challenge 4: how to present results with uncertainties? There is also a historical dimension as science moves forward and consensus changes (due to improvements of theory, models and data). Journalists dig up old results (which we now know are incorrect) and make headlines based on the “contradictions” found.

Last discussion topic was introduced by David De Roure: “Knowledge Infrastructure for Global Systems Science”. This comes back to the transparency and repeatability (and multiple meanings of that) mentioned by Jeremy. The main message was that methods are as important as the data. Bundles of workflows, documents and data make up “computational research objects”. An important Challenge 5 here is how to represent these research objects so that they can be mixed and matched freely. Some support for automatic curation and repair would also be needed.

Saturday ICT chairs + presenters

  • Patrik Jansson – Chalmers Univ. of Techn., patrikj@chalmers.se
    • Co-chair of “Models and Narratives in GSS”
  • Ilan Chabay
    • Co-chair and talk: “Models and Narratives in Global Systems Science”
  • Jeremy Gibbons
    • Talk: Dependable Modelling
  • Michael Resch
    • Talk: Verification and Validation of Simulation Models
  • David De Roure;
    • Talk: “Knowledge Infrastructure for Global Systems Science”

Other participants:

  • Ulf Dahlsten (first hour)
  • Ralph Dum
  • David Tabara
  • several others (unfortunately I did not make a list)

ICT challenges for GSS, part 2

Notes from The Friday ICT workshop (by Patrik Jansson, 2012-11-22)

The Friday ICT workshop started with a welcome by the chair, Patrik Jansson (Chalmers), presenting the workshop theme “Computer Science meets Global Systems Science” and the participants. After a brief round of presentations the two hour workshop slot was split into three rounds of presentation + discussion.

First out was Martin Elsman (HIPERFIT) talking about Domain Specific Languages in general and how computer science can help modellers handle risk modelling and predictions in particular. The examples given were about modelling complex financial contracts within one bank. In the discussion Ulf identified the challenge “simulate the global financial markets and different regulations”. (Several workshop participants could be part of a consortium around this topic.) Another challenge identified was to avoid the “tower of Babel” problem – making sure that the different DSLs and models have well defined semantics and share common infrastructure.

The second part was introduced by Zhangang Han (Beijing) talking about Human Machine Integrated Decision Making. (Picture: big command centre with a common large screen and many terminals. Could be used for a natural disasters command and control or for more long-term planning.) Lots of data as input, models are run, domain experts interpret it and help decision makers decide next actions. Challenge 1: find a compatible framework which can incorporate the workers in different roles so that they can communicate in an efficient way. Challenge 2: Challenge: real world data always contradict each other – what is the correct interpretation? Challenge 3: Visualise what is going on and map the data and interpretation to policies.

The discussion raised a few other points as well: When we present results to real decision makers we often get feedback which contradicts our results. Based on the assumption that the policy-maker really knows things we don’t we can sometimes adjust parameters to make these results coincide (but sometimes it is just confusing).

As a recent example Z. Han’s group modelled the education in Beijing, China where the number of pupils was going down and they need to merge (close down) some schools. We could then show some simulation and alternatives.

Patrik: we seem to need a whole infrastructure (or ecosystem) of raw data, analysed data at different levels, simulation results and interpretations. Perhaps new standards, data collection agencies, etc. are needed. Chris Barrett remarked that Data provenance – meta-data management schemes are important. Survey science, survey statistics have methods which should be adaptable here.

The third topic (education) was introduced by Johan Jeuring (Utrecht) with a presentation on “Technology for learning modelling languages”. Two examples were presented: an online mathematical problem solving tool and an automatic programming tutor, giving hints for next steps or checks of your own steps. Challenge 1: How do we set up generic systems for learning modelling languages (which can be specialised to many modelling languages). Challenge 2: How do we give feedback? Question: Should awareness/dissemination be done via Massive Online Courses? Challenge 3: How do we handle multiple natural languages? Merijn: learning is also a social experience – in an online interactive course the students interact both with the system and with their peers.

Friday ICT chairs + presenters

  • Patrik Jansson; Chalmers Univ. of Techn., patrikj@chalmers.se
    • Chair of “Computer Science meets GSS”
  • Martin Elsman; DIKU, mael@diku.dk
    • Talk: “Domain Specific Languages”
  • Zhangang Han; Beijing Normal Univ., zhan@bnu.edu.cn
    • Talk: Human Machine Integrated Decision Making
  • Johan Jeuring, Utrecht University and Open University, CS prof, DSL, teaching technology
    • Talk: Technology for Learning Modelling Languages
  • Colin Harrison; IBM’s Enterprise Initiatives Team
    • Plenary talk “Information Society and Energy Addiction”

Other Friday ICT workshop participants:

  • Chris Barrett, Virginia Bioinformatics Institute
  • David de Roure, director of the eResearch center, Oxford, (digital social science)
  • Jeff Johnson, Open Univ., UK
  • John Sutcliffe-Braithwaite, PublicComputing BV, Computer engineer, work for small company, spec.
  • Jonathan Reades, UCL, London, large data sets
  • José Javier Ramasco, Mallorca, Complex networks
  • Katarzyna Szkuta, crossover, Tech4i2, ltd
  • Luis Bettencourt, Santa fe
  • Mario Rasetti, Institute of Scientific Interchange Foundation (ISI), Torino, emeritus, Physicist
  • Maxi San Miguel, CSIC, Mallorca, Spain, Physicist by training, com
  • Mereijn Terheggen, Factlink company, collective knowledge platform
  • Per Öster, CSC, Finland (Director of research environments, ICT tools for research)
  • Qian Ye, Beijing Normal University, Integrated risk governance
  • Steven Bishop, Math
  • Ulf Dahsten
  • Vittorio Loreto,
  • Wanglin Yan, Keio University, Tokyo, GIS, Sustainablility

ICT challenges for GSS, part 1

Notes from The Thursday ICT workshop (by Patrik Jansson, 2012-11-22)

The Thursday ICT workshop theme was introduced by Ulf Dahlsten already in the plenary: “The ICT challenges to Global Systems Science”. The workshop started with Per Öster (CSC-IT, Finland) talking about e-Science and European Grid Computing. Complex science (with Global Systems Science as an example) puts new demands on ICT tools. The same questions come up: How to handle data? How to access computing resources? How to control access (easy to use authentication)? Examples of existing infrastructure: EUDAT.eu: Collaborative Data Intrastructure, EDI.eu: European Grid Infrastructure. Science gateways provide low entry threshold.

Even when the basic infrastructure is in place, there is still a lot of work needed for a new field to be well supported. And it cannot be constructed by the implementors alone – co-development is important (users + implementors). We work with the research communities to build systems which work for them.

Challenge 1: Develop “science gateways” suited for Global Systems Science.

Challenge 2: Handle the uneven access (globally) to data sets (much more is available in the developed world). We need to identify data sources and quality control of them.

——

Next was Vittorio Loreto (everyaware.eu) on “Turning citizens into sensors”, expanding on the earlier plenary talk. The example was: how to enhance public awareness of climate issues? (An interesting side-line: a recent paper shows that “Environmental awareness does not lead to smaller carbon footprint”.) The measurement data collection works fine (position data, sensor box for pollution measurements etc.) Challenge 3: How do we (automatically) handle unstructured input (like users recording comments, writing down their comments, etc.) in connection with the structured data?

Z. Han: We have the technology and the expertise to collect data, but management is very important. Examples from China show that many sectors collect data without releasing it to the public. Open source slogan “release early, release often” is not easy to apply to (politically) sensitive data.

Trista Patterson:
Challenge 4: How do we create communities with a joint language and trust to enable rapid feedback pre-publication?
Crowd-sourcing successes like wikipedia are inspiring but leads us to
Challenge 5: How do we get representability of the contributors (currently 87% male for example). Improving diversity is important.

Thursday ICT chairs + presenters

  • Ulf Dahlsten
    • Chair of “The ICT challenges to Global Systems Science”
    • Plenary talk: “Global Systems and The Challenges”
  • Per Öster
    • Talk: “e-Science and European Grid Computing”
  • Vittorio Loreto
    • Plenary talk: “Participation awareness and learning”
    • Talk: “Enhance environmental awareness through social information technologies”
  • Christopher Barrett
    • Plenary talk: “Simulation of Very Large Systems”

Other Thursday ICT workshop participants (incomplete list):

  • Merijn Terheggen; FactLink.com,
  • Martin Elsman; DIKU,
  • José Javier Ramasco; IFISC,
  • Trista Patterson;
  • Luís Bettencourt;