It’s January 3rd, I’m still on holidays, but it’s also a Monday and therefore I am going to share two threads that explain why I am upset at political science Twitter (broadly speaking).

I wrote neither thread but both of these capture why I think we need a reset on Twitter.
1) @AnnaMeierPS captures very well the multiple layers and reasons why I found the incivility towards a junior scholar based in Chile (yes, status and location both matter) rather upsetting. She expressed it so much better than I could have.
2) read her entire thread, but this particular tweet by @erinrpineda ALSO captures the reasons I got upset. If I write within a tradition and field I cite within that tradition and field. This is customary. Don’t tell me we (PS) are great at citing across disciplines/fields.
Critique is important in academic work. Fundamental, I would say. But it should be well informed, within the norms of decency and appropriate communicative action. Otherwise we descend on to the depths of baseless ad hominem attacks. Seek to advance constructive discourse.
That this debacle occurred within the end of the year made me upset as I consider my participation in academic conferences (ISA, MPSA, APSA) over the next few months. Very unappealing at the moment and I hope this thread explains why.

Enjoy your beginning of the year, all.

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More from @raulpacheco

26 Nov 21
Thanks to the @CIDE_DAP @DPP_CIDE community and to @maudussauge for inviting me to join them in a seminar with Dr. Mike Howlett @howlettm (a dear friend and long-time mentor of mine, since I was doing my PhD!).

Dr. Howlett will be talking about policy mixes.
As Dr. Howlett @howlettm asserts, when we talk about policy mixes, we are actually discussing POLICY INSTRUMENT MIXES, that is, bundles of instruments and how they interact with each other. There are 3 generations of literature (he works more on the last generation).
Tooting my own horn, my article explains how environmental regulation is part of various policy mixes (& how it REMAINS in the mix)

"Environmental regulation, governance, and policy instruments, 20 years after the stick, carrot, and sermon typology"
tandfonline.com/doi/abs/10.108…
Read 5 tweets
26 Nov 21
Mi colega @salazar_elena impartió este cuatrimestre un curso de maestría y doctorado sobre Inferencia Causal (Econometría).

Me quedé pensando en que en ocasiones se distorsiona la realidad de que la inferencia causal la podemos usar tanto en métodos cualitativos como en cuanti.
En primer lugar, es posible usar información cualitativa para mejorar la inferencia causal CUANTITATIVA, como demuestran Glynn e Ichino:

deepblue.lib.umich.edu/bitstream/hand…

Mahoney también muestra que es posible hacer inferencia causal en N pequeñas: researchgate.net/profile/James_…
De hecho, una lectura que yo asigno en mis cursos tanto de maestría como de doctorado de Métodos Mixtos:

Spillman, Lyn. 2014. “Mixed Methods and the Logic of Qualitative Inference.” Qualitative Sociology 37(2):189–205.

link.springer.com/article/10.100…

Funciona muy bien de puente.
Read 4 tweets
23 Nov 21
Ayer cerré mi curso de Análisis e Interpretación de Datos Cualitativos #AIDCFLACSO21

Les dije a mis estudiantes que la generosidad que reciban de mi parte, no me la regresen a mí: páguenla hacia adelante.

Si en algo perciben que les he ayudado, ayuden ustedes a alguien más.
Cuando pienso en mi labor como profesor, pienso inmediatamente en la cita de Toni Morrison, la extraordinaria escritora africano-estadounidense (ver siguiente tuit)
“Les digo a mis alumnos: 'Cuando obtengas estos trabajos para los que has recibido una formación tan brillante, solo recuerda que tu verdadero trabajo es que si eres libre, necesitas liberar a alguien más. Si tienes algo de poder, entonces tu trabajo es empoderar a alguien más."
Read 4 tweets
21 Nov 21
I just read Kim Hopper's "Reckoning with Homelessness". I have read numerous articles and books about unhoused individuals and the multiple factors that affect people experiencing homelessness, and I have to say this is one of, if not THE best book.

cornellpress.cornell.edu/book/978080148…
What I enjoyed the most about Hopper's "Reckoning with Homelessness" is that he puts forth ethnography as a framework and as a method for studying homelessness. Hopper is also quite explicit in his methods and offers two additional angles to examine homelessness as an experience.
While some people may think his book is dated (2003), I found it quite insightful, and in some ways, better framed that some of the more recent work I've seen on homelessness.

And yes, from an urban ethnography perspective, there's no better method to understand homelessness.
Read 4 tweets
15 Nov 21
Opinion that may or may not be unpopular:

We lack serious training in research methods choice and selection.

We keep saying "choose the method according to the research question". But this requires that the student KNOW multiple methods, for data collection AND data analysis.
Moreover, developing criteria for method choice and selection requires students to learn heuristics that can help them build decision trees and models of the type
"IF research question 1
THEN (data collection method 1 AND data analysis 1)
ELSE search RM"
This is why research methods training is very hard, and why it's imperative that whoever teaches methods goes over the details of multiple methodological and empirical strategies, using case studies: so students can see for themselves how researchers make methodological choices.
Read 6 tweets
14 Nov 21
While I normally take weekends off and make every effort to not work during resting periods, I have to finish some work so I am warming up by reading.

This article, by @TianaBHayden, may not be on the topic I am working on right now, but serves to “warm my brain up”. Also, ☕️
For those who ask me about my process: I normally read a page, highlight ideas I find useful, and THEN, in a second pass, write marginalia that (a) dialogues with the research/researcher (b) summarizes the argument and/or connects with the work of other authors.
You can notice that in my marginal scribbles, I put my own ideas with @TianaBHayden ‘s, summarized her argument, and looked at how her work connects with others’.

Tiana foreshadows her argument in her introductory paragraphs. When an author does this I normally highlight w/RED
Read 4 tweets

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