front

June 2019 - Monthly Review

June 2019 - Monthly Review

Output in June

- 3rd June: effective giving series meetup 1/3

- 4th June: applied rationality meetup

- 6th June: EA Lausanne BBQ

- 7th June: themed meetup on "empathy and compassion"

- 15th June: secular meditation morning

- 17th June: effective giving series meetup 2/3

- 18th June: quarterly EA Switzerland group organizers meeting

- 23rd June: facilitated community co-working

- 27th June: LessWrong meetup

- Visits from 3 local group organizers from Switzerland, Belgium and Germany

- 8 career advice sessions

- Wrote up a first draft of a speaker guide for our intro workshop

May 2019 - Monthly Review

May 2019 - Monthly Review

Output in May

- May 7th: applied rationality practice

- May 9th: collective intelligence training

- May 11th: intro to EA day with the Swiss Study Foundation

- May 17th: themed meetup on WHO's approach to evidence-based policy-making with Olympe Peretz

- May 18th: applied rationality workshop

- May 23rd: LessWrong meetup

- May 25th: community hike

- May 26th: community co-working

- May 27th: dinner discussion on energy innovation research

- May 28th: collective A/B/Z career plan development

- May 30th: professionals' dinner on education

- Launch of three summer internships / research / co-working visits

- Monthly event newsletter

- Monthly board update

- Partnership with Impact Hub

- 3 career advice sessions

- Wrote up documentation for our intro workshop to share with other groups

- effectivealtruismswitzerland.org and eageneva.org updates

April 2019 - Monthly Review

April 2019 - Monthly Review

OUTPUT IN MARCH

- April 4th, professionals dinner on political engagement

- April 6th, intro workshop

- April 9th, applied rationality practice

- April 13th, quarterly EA Switzerland leaders meeting in Bern

- April 13th, intro workshop in Bern

- April 14th, EA Lausanne and Swiss Study Foundation EA day working session

- April 18th, LessWrong meetup discussing the start of the rationality sequences

- April 26th, meetup with 17 people on fundamentals of biology

- April 27th, advanced workshop

- April 28th, community hike

- April 28th, get shit done coworking

- First run through our community networking database resulted in

- A half-day no-nonsense intro to meditation event

- Many new discussion channels on mattermost

- Career planning mentor & mentee pairing

- More event ideas for the near future

March 2019 - Monthly Review

March 2019 - Monthly Review

OUTPUT IN MARCH

- Global Catastrophic Risk Governance working session resulted in a collaboration on a design proposal for an Intergovernmental Panel on Artificial Intelligence between two scholars from University St Gallen and the Graduate Institute Geneva

- Successful launch of a LessWrong group with a few new faces and much motivation for further activities to learn more about epistemic rationality

- Applied Rationality training series completion with successful launch of bi-weekly practice meetups

- Submitted a grant evaluation and proposal to CEA for our Community Building Grant

- We got accepted into Foundation "Compétences Bénévoles"'s support program, to receive professional training in Accounting, HR and more

- Updated our intro to EA workshop and shortened it to suit a 4 hour format

- Community visit to the Genevan Kyudo Dojo

- First 2019 board of directors meeting where we decided on the board-staff modus operandi for the next two years

- Reevaluated our community building strategy and implemented first steps towards more targeted career coaching and project development

- Attended a training offered by the Canton of Geneva on the Swiss professional risk prevention system

- Held an extraordinary evening intro to EA session to make up for the cancelled into workshop

- Finished the effectivealtruismswitzerland.org website

- Attended and contributed to the Center For Applied Rationality rEUnion in Czechia & visited the EA group in Prague to explore collaborations

- Themed meetup on China's political economy and role in global governance

Modelling collective decision-making in policy networks

Modelling collective decision-making in policy networks

Public policy-making - the set of intentions, decisions, and processes that lead to the creation, implementation and recycling of policies within governments and international organizations - takes place in a complex system (Geyer and Cairney 2015). This system is characterised by heterogeneous actors pursuing their idiosyncratic goals in an institutional context and a changing environment that rhythms the course of and affects the content of policy decisions (Geyer and Rihani 2010, Morçöl 2013, Koliba et al. 2018). Zooming in on the micro-level, one can observe policy actors’ cognitive complexity, usually conceptualised as ‘bounded- rationality’ (Simon and March 1976; Dente 2014; Hertwig and Pedersen 2015; Zahariadis and Herweg 2017). In the aggregate, policy dynamics satisfy the hallmarks of complex systems:

February 2019 - Monthly Review

February 2019 - Monthly Review

Output in February

  • A professionals' "Jefferson" dinner on "far future versus present day impact" with 14 participants

  • Applied rationality group launch with 12 participants from our core community

  • Themed meetup on the YouTube recommender system with ~25 participants

  • An advanced workshop with 7 participants

  • Launched a Global Catastrophic Risk Governance group with 5 master's students from the Graduate Institute

  • Career coached four people

  • Strategy event with EA Lausanne, successfully set up their semester's program and intro workshop

  • Published updated version of the Tactical Models for Improving Policy-Making on our blog

  • Launched our community networking database

Tactical models to improve institutional decision-making

Tactical models to improve institutional decision-making

This post presents reflections on how to improve the work of governments and international organisations. It focuses in particular on the role of institutional decision-making, as this seems to be a concrete and feasible avenue of fostering policy-makers’ impact. This post does not try to explain why one should (not) work on improving policy-making.

First of all, we propose that approaching policy-making systematically can be roughly done as follows:

  1. Understand policy-making dynamics

  2. Define tactics to approach policy-making

  3. Implement techniques (e.g. calibration training) [or hyperlink to resource on website]

  4. Evaluate impact and feed learnings back to 1-2-3

Jess Whittlestone’s post on improving institutional decision-making provides useful high-level approaches:

  • test and evaluate existing techniques

  • research alternatives techniques

  • fostering adoption of techniques

  • direct more funding to the above

… which fall under 3. and 4.

Our post complements Whittlestone’s by presenting three models that inform 2. and thus help calibrating an outside actor’s approach to improving institutional decision-making. These models come from the literature review we conducted for forthcoming publications which attempt to cover point 1. of understanding policy-making dynamics.

January 2019 - Monthly Review

January 2019 - Monthly Review

Output in January

  • [EA Forum post on tactical models to improve public policy-making](https://forum.effectivealtruism.org/posts/bzu88GRy2jjxCQDC9/tactical-models-to-improve-institutional-decision-making)

  • The Good Growth Co, a project co-founded by community member Oliver Bramford, got an EA grant to support the Center for Human-aligned AI in Berkeley

  • Henrik Aslund, AI safety researcher at the EPFL and EA Lausanne cofounder, is leaving us to work with the Future of Humanity Institute in Oxford for six months

  • We held our General Assembly ([minutes here](https://drive.google.com/file/d/1XIJ-A9-Oh_fn3Kl6xFx63AFhN7wyxX-a/view)) and elected a new board of directors - Prof. Dr. Samia Hurst replacing Olympe Peretz who is moving away this year

  • Updated this website with the "incubation", "get involved" sections and edits to other parts

  • Published our [event planning for the first half of 2019](http://eageneva.org/events/)

  • Ran an EA Switzerland meeting in Bern together with EA Lausanne, Bern, and Zurich - currently designing a common website to support smaller groups in starting out

  • Ran a well-received workshop for the Constructive Institute

  • Hosted an impressively successful "Fermi Quiz Night" as themed social at Foound

  • Ran the first session of our new applied rationality group with success - public sessions starting in April

  • Announced the launch of our Global Catastrophic Risk Governance Group on February 21st

  • Had promising strategy meetings with EA Lausanne, the EAE at UniGe, and a potential student initiative at the IHEID

  • Wrote up [our annual report for 2018 and our plans for 2019](https://drive.google.com/file/d/1eKqZCM2MuMBX_81sLRylqyXSnUz29cg-/view)

Improving policy-making: a research agenda

Improving policy-making: a research agenda

How to understand and approach policy-making as an outside actor? How to improve policy-making such that decisions rely more on evidence and reason while taking behavioral and institutional realities into account? We are writing a research agenda that provides research and implementation directions on these questions. The research agenda is divided in three sub-sections.

Applications of prioritization in public policy-making

Applications of prioritization in public policy-making

The topical focus of policy-making depends on agenda-setting processes; meaning the process of problems and solutions entering the policy-making process where they are defined, debated, and then prioritized through the combination of various forces such as power, political interests, funding, shared discourse, external events, and media coverage.

In contrast to agenda-setting, 'priority-setting' has been employed as a method to prioritize problems and solutions more systematically in the sector of health policy. This approach comes close to the prioritization models that are advocated within the Effective Altruism community. They include the Scale-Solvability-Neglect (SSN) and the expected value (EV) frameworks. Generally, they serve as broad heuristics to guide one's decision-making in the allocation of limited resources.

This paper tries to push the envelope by analyzing how these two frameworks would apply to policy-making in general, across contexts, sectors and institutions.

November 2018 - Monthly Review: Community, Optimization, and Research

November 2018 - Monthly Review: Community, Optimization, and Research

Output in November

  • Themed meetup on 'global states of consciousness' with Michael Schartner (2nd)

  • Advanced EA workshop (10th)

  • Themed meetup on 'existential risk reduction: the missing SDG?' with Oliver Bramford (12th)

  • Intro workshop on 'Meditation & Action' together with Ressource Mindfulness (17th)

  • Introduction to EA workshop (24th)

  • Themed meetup on 'unconditional basic income research' with Cameron Schmidt (30th)

  • Submitted our conceptual agent based model of policy-making to the Journal of Complexity, Governance and Networks

  • Set up an event page on the website

  • Set up a 'donate' function on the website (via Stripe)-The student group at UniGe now has doubled in its core member size (6), partly due to our support

  • 12 career coachings

An agent-based model of policy-making: disaggregation and conceptualization

An agent-based model of policy-making: disaggregation and conceptualization

Policy-making exhibits nonlinear patterns which emerge from the interaction of heterogeneous bounded-rational actors. How to understand such complexity with both clarity and parsimony? We disaggregate policy-making into different parts to develop a conceptual agent-based model. We define agents with attributes, cognitive rules, and strategies drawing from the literature on public policy, sociology, and behavioral psychology. We present a set of parameters that constrain agent adaptation, such as environmental variables; policy processes; and network structures. We use bit-strings to encode information and the fundamentals of evolutionary biology to conceptualize learning and adaptation mechanisms. We present a set of hypothetical results for illustration purposes. This disaggregation and conceptualization serves as the groundwork to formalize, implement, and simulate the current understanding of policy-making. Among other applications, the model is designed to inject dynamism into static theory; shed light on how individual behavior self-organizes and scales to the group and the institutional levels; and conduct evaluative research in data-scarce contexts.

October 2018 - monthly review: workshops, writing, EA global

October 2018 - monthly review: workshops, writing, EA global

OUTPUT

  • A three pager on policy work with lots of links to further documents we're developing

  • A post on complexity science for social sciences

  • EA Global London conference: presentation of our current work & lots of meetings to develop policy work

  • Attended & contributed to the EAE’s intro to seminar at UniGe

  • Meetup on "The pleasure to give - the warm glow effect" with Emma Tieffenbach

  • Intro workshop @ IHEID

  • Intro workshop @ C4SI

  • Meetup on "Predictive computing and the Bayesian brain" with Luigi Acerbi

  • Career seminar @ EPFL to help get their group started

  • Lots of career coaching sessions & community meetings, plus followups

An Introduction to Complexity Science for Social Sciences

An Introduction to Complexity Science for Social Sciences

In both social sciences and policy-making, researchers and practitioners tackle multifaceted phenomena. Examples are (armed) conflicts, migration, the emergence of populism, the automation of professions, financial crises, international trade, or social integration. Efforts in research and practice have led to various approaches and processes to analyse these phenomena and make decisions under uncertainty.

I argue that the toolbox used to tackle these real-world problems could benefit a lot from the growing field of complexity science, i.e. the study of complex systems in the physical, biological, and social worlds. I believe complexity science is a vital tool that yields a more honest and granular understanding of social phenomena. Complexity science is not revolutionary, it is the middle-ground between the assemblage of (a) insights and methods from many scientific disciplines and (b) the dilution of disciplinary boundaries.