Za

Ntchito yanga imakhala pa mphambano ya chitukuko cha chuma, ulimi, kugonana, ndi kuyeza m'mayiko omwe akutukuka kumene. Ndimagwiritsa ntchito kafukufuku wamkulu wanyumba ndi deta ya geospatial kuti ndiphunzire momwe mabanja, mafamu, ndi misika zimagwirira ntchito, makamaka m'malo omwe deta ndi yochepa kapena yovuta kusonkhanitsa. Ndinapeza PhD yanga ku Graduate Institute ku Geneva ndipo ndagwira ntchito ndi deta ya kafukufuku ku IFPRI, IMF, ndi World Bank.

Ndinayambitsa Dollar Scholars, maziko omwe amapereka maphunziro azachuma omwe ali ndi umboni kwa achikulire omwe mwina sanapezepo. Ndinamanganso webusaiti yake ndi mafunso azilankhulo zambiri.

Ndisanayambe zachuma, ndinakhala zaka zisanu ndi ziwiri ngati katswiri wa eSports, ndikuyitanitsa masewera a Counter-Strike ndi Warcraft III kuchokera ku Seoul kupita ku Monza pakati pa 2004 ndi 2011. Ndimasewerabe Counter-Strike 2 ndi Overwatch 2, ndikuwukira ngati bard ku EverQuest.

Kafukufuku

  1. Pepala logwira ntchito

    Spreading the love around: how does agricultural labor demand respond to temporary weather shocks?

    M'mayiko asanu ndi limodzi, mabanja alimi amadalira kwambiri ntchito yabanja panthawi ya chilala komanso nthawi yamvula yachilendo. Mabanja otsogoleredwa ndi akazi amakakamizidwa kwambiri.

    Chidule

    This is the first study to separately identify labor demand responses to both unanticipated droughts and periods of above normal rainfall for three forms of agricultural labor that are central to agricultural production: family, hired, and mutual exchange labor. I use a simple parcel‑level model with three labor types and monitoring costs to study how family labor is reallocated across parcels during drought. In six countries I find small but statistically significant decreases in the share of hired labor during droughts and during periods of above-normal rainfall, indicating a strong reliance on family labor during shocks. I find that farm households appear to lean heavily on exchange labor by using exchange labor more frequently during periods of above-normal rainfall. Due to the heavy reliance on family labor, household size and the gender of the household head are important moderating factors. Women-headed households appear to be significantly more constrained in how they apply labor on family farms. My findings underscore that these labor types are distinct in how they respond to temporary weather shocks. The results of my analysis have important implications for policies targeted at stimulating agricultural labor markets.

    • Ulimi
    • Ntchito
    • Mantha a nyengo
    • Kugonana
  2. Ntchito ikuchitika

    Assessing land area from above: evidence from Armenia

    Kuyesedwa kwachisawawa mkati mwa kafukufuku wabanja: kutsata minda pazithunzi za satellite kunatenga nthawi yochepa ya 42% kuposa kuyeza ndi GPS ndikuwongolera paziwerengero zodziyimira pawokha, ngakhale kuti sizinali zolondola kuposa GPS.

    Chidule

    Using primary data collected by the World Bank in Armenia as part of a randomized controlled trial, we evaluate the use of a satellite image tracing to measure agricultural land in the context of a household survey. Satellite tracing offers several benefits, including a large reduction in the cost of measuring land, the potential to measure more parcels of land, and improved security for survey enumerators. We find the satellite tracing approach yields consistent results, and requires 42% less time than measuring with GPS, and provides value-added over self-reported estimates. Due to the potential cost savings, and other non-trivial benefits, we suggest that land measurement via satellite image tracing offers significant value, though is not as accurate as land area estimates conducted with a handheld GPS.

    • Njira zofufuzira
    • Zithunzi za satellite
    • RCT

Onani CV yonse

Kuphunzitsa

Iye alidi m'modzi wa, ngati si pulofesa wabwino kwambiri yemwe ndakhala naye ku American University. Amayesetsa kuti kalasiyo igwiritse ntchito zitsanzo zenizeni za deta m'malo mongokhala ndi 'Sally ali ndi maapulo 4 ndipo Dave ali ndi mavuto a kalembedwe ka malalanje 15 ... Iye ndi zonse zomwe pulofesa waku koleji ayenera kukhala kenako zina.
Kuwunika kwa ophunzira, Applied Econometrics, American University
  1. 2021 – 2024

    Pulofesa Wothandizira · Yunivesite ya America

    Chitukuko chachuma, econometrics yogwiritsidwa ntchito, ndi mawu oyamba a micro- ndi macroeconomics, ophunzitsidwa ndi deta yeniyeni ndi zitsanzo zenizeni.

    • Chitukuko cha Chuma
    • Ntchito Econometrics I
    • Intro Microeconomics
    • Intro Macroeconomics
  2. 2015 – 2018

    Graduate Institute, Geneva

    Economics for International Affairs (2015-2016) ndi magawo owunikira a Macroeconomics A (2017-2018).

  3. Dera

    Economics Discord

    A 501 (c) (3) maphunziro opanda phindu ndi partnered Discord seva kumene oposa 3,000 ophunzira zachuma, ofufuza ndi akatswiri azachuma ochokera kuzungulira 30 mayiko kuthandizana kuphunzira.

Dollar Scholars

  1. Woyambitsa

    Dollar Scholars

    Maziko a maphunziro azachuma achikulire, ophunzitsidwa pamasom'pamaso komanso ozikidwa pa kafukufuku, chifukwa ngongole singathandize anthu omwe sadziwa momwe angagwiritsire ntchito.

    • Ndalama ndi banki
    • Zolemba za ngongole
    • Misonkho
    • Ngongole

Thandizani ndi Dollar Scholars

Mapulogalamu

  1. Kukula kwa intaneti

    dollarscholars.org

    Ndinapanga, kulemba ndi kumasulira zokha pa webusaiti ya maziko: tsamba lachizolowezi la Django lopangidwa ndi Tailwind CSS ndikudzipangitsa lokha ndi nginx pa seva ya Ubuntu, yomangidwanso ndi chitetezo m'maganizo pambuyo pa cyberattack. Imabwera m'mabaibulo a zilankhulo 44, kuphatikiza zilankhulo zinayi zakumanja kupita kumanzere (Chiarabu, Chiheberi, Chiperisiya ndi Chiurdu), ndipo omasulira odzipereka amatha kuyang'ana ndikuwongolera mtundu uliwonse kudzera mu ntchito yosavuta ya CSV.

    • Python
    • Django
    • Tailwind CSS
    • Kumasulira kwa makina
    • Ubuntu & nginx
  2. Financial Knowledge Study

    Kafukufuku wachidziwitso cha zachuma ndi mafunso azilankhulo 31, kuphatikiza zisanu zosewerera monga Pirate Speak ndi 1930s Mobster. Mafunso amasinthidwa kuchokera ku Lusardi & Mitchell (2014) ndi FINRA Foundation's National Financial Capability Study; matembenuzidwe adalembedwa ndi Microsoft Copilot ndi Deep Translator ndikuwunikiridwa ndi odzipereka pomwe alipo.

    • Kapangidwe ka kafukufuku
    • Python
    • Django
    • JavaScript
    • Kumasulira kwa makina
  3. Kafukufuku wamakompyuta

    Deta ndi kusanthula kwa geospatial

    Python (pandas) ndi Stata kwa datasets zazikulu monga kafukufuku wapakhomo, ndi GIS (ArcGIS) ya deta ya satellite, kuphatikizapo kupanga mapu a VIIRS magetsi a usiku kumbuyo kwa webusaitiyi.

    • Python
    • pandas
    • Stata
    • ArcGIS
    • VIIRS

Ndemanga za eSports

  1. 2004 – 2011

    Ndemanga ya eSports

    Yotchedwa Counter-Strike 1.6 ndi Warcraft III kwa ofalitsa kuphatikizapo DirecTV, MTV ndi MTV Korea, pamodzi ndi casters monga Alex “Vansilli” Nguyen, Glenn “Boomerman” Lane ndi Zach “Hoo_man” Godfrey.

    • World Cyber Games
    • MBC Game
    • World e-Sports Games
    • E3
  2. Press · MTV.com (yosungidwa)

    Video game play-by-play comes with a deadly challenge

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